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Doctoral Thesis
Applications of PCR-based DNA-analysis to genetics of Malus Xdomestica
Author(s): Koller, Bernhard
Publication Date: 1994
Permanent Link: https://doi.org/10.3929/ethz-a-001420101
Rights / License: In Copyright - Non-Commercial Use Permitted
This page was generated automatically upon download from the ETH Zurich Research Collection. For moreinformation please consult the Terms of use.
ETH Library
Diss. ETH No. 10944
APPLICATIONS OF PCRBASED DNA-ANALYSIS
TO GENETICS OF MALUS X DOMESTICA
Adissertation submitted to the
SWISS FEDERAL INSTITUTE OF TECHNOLOGY ZURICH
for the degree of
Doctor of Natural Sciences
presented by
BERNHARD ROLLER
Dipl. sc. nat. ETH
born October 24th, 1962
citizen of Meierskappel LU
Accepted on the recommendation of
Prof. Dr. M.S. Wolfe, examiner
Dr. G. King, co-examiner
Dr. C. Gessler, co-examiner
1994
CONTENTS
SUMMARY
ZUSAMMENFASSUNG
INTRODUCTION
IDENTIFICATION OF APPLE CULTIVARS USING RAPD MARKERS
DNAMARKERS LINKED TO MALUS FLORIBUNDA 821
SCAB RESISTANCE 17
THE USEFULNESS OFPEDIGREE ASSESSMENT OFAPPLE
CULTIVARS DETERMINED BY RANDOM AMPLDjTED
POLYMORPHIC DNA 27
DISCUSSION 37
CURRICULUM VITAE 43
VERDANKUNGEN 44
1
SUMMARY
The aim of the work presented here was to evaluate possible applications of the po¬
lymerase chain reaction (PCR) technology in the field of Malus x domestica breeding. A
derived method, random amplified polymorphic DNA (RAPD), was to be used for this
purpose.
In the first part, it was shown that commercially available apple cultivars can be
identified by means of RAPD markers. Eleven cultivars could be distinguished by run¬
ning a PCR with one decamer primer. It can be seen from this part that the variability in
the apple genome pool is relatively small, but, on the other hand, that the RAPD method
is sensitive enough to detect a reasonable amount of polymorphisms in this pool.The bulked segregant analysis technique was used in the second part to search for
molecular DNA markers linked to the resistance of apple plants against scab, caused bythe ascomycete Venturia inaequalis (Cke.) Winter. This resistance, also called Vf, was
originally introgressed from Malusfloribunda 821. The PCR screening of bulked proge¬
ny DNAs of chosen apple crosses produced two markers segregating with the resistance.
The genetic distance of these markers was greater than the commonly desired distance
of 5 cM, but this low correlation is most certainly due to the small number of the proge¬
ny. Nevertheless the markers were also present in all of the Vf-resistant apple cultivars
tested, and therefore the markers seem to be suited for the practical screening of future
apple crosses.
In the third part, an attempt was made to assay genetic relationships of the indivi¬
duals of three apple pedigrees. The individuals were screened with 100 decamer primersand the reaction products scored subsequently for presence or absence of polymorphicDNA fragments. The resulting banding pattern matrix was used to perform cluster and
parsimony analysis. The correlation between the actual relationships among pedigree in¬
dividuals and the results from similarity analysis was valid to only a limited extent, alt¬
hough there was a strong tendency for a progeny to be grouped together with the more
outbred parent. In general, the individuals of apple pedigrees seem to be too closely rela¬
ted to each other to perform a similarity analysis based on RAPD-markers. However, the
method would certainly be useful in characterisation of the many chance seedlings avai¬
lable. This would at least allow determination of the geographical background of those
plants, thus allowing the breeder to make more informed decisions about future applecrosses.
2
3
ZUSAMMENFASSUNG
In der hier vorgelegten Arbeit sollten Anwendungen der Polymerase Kettenreaktion
(polymerase chain reaction, PCR) fur Forschung und Zuchtung von Malus x domestica
entwickelt werden. Dazu wurde die auf PCR basierende Methode der random amplified
polymorphic DNA (RAPD) verwendet.
Im ersten Teil konnte gezeigt werden, dass es moglich ist, Apfelsorten mittels
RAPD-Markern zu identifizieren beziehungsweise zu unterscheiden. Elf Sorten konnten
durch PCR mit einem Primer unterschieden werden. Die Resultate zeigten, dass der Ge-
nom-Pool des Apfels relativ klein ist. Die Methode istjedoch sensitiv genug, um auch in
diesem kleinen Pool eine ausreichende Anzahl von Polymorphismen auszumachen.
Die sogenannte "bulked segregant analysis" wurde angewendet, um molekulare
DNA-Marker fiir die Resistenz von Apfelbaumen gegen den Ascomycet Venturia inae-
qualis (Cke.) Winter zu finden. Diese auch "Vf" genannte Resistenz wurde 1914 aus
Malus floribunda 821 in die Apfelzuchtung eingefuhrt. Das PCR-Screening der DNA
aus resistenten und anfalligen Nachkommen einer Apfel-Kreuzung ergab zwei Marker,
die mit der Vf-Resistenz vererbt werden. Die genetische Distanz der Marker ist zwar
grosser als die erwiinschten 5 cM, dies beruht aber hochstwahrscheinlich auf der gerin-
gen Anzahl der Individuen, die verwendet werden konnten. Trotzdem scheinen die Mar¬
ker fur eine Anwendung in der Ziichtungs-Praxis geeignet zu sein, da sie in alien
getesteten Vf-resistenten Apfelsorten vorhanden waren.
In einem dritten Teil sollten RAPD-Marker verwendet werden, um die genetischenVerwandtschaftsverhaltnisse zwischen den Individuen von drei Apfel-StammMumen zu
bestimmen. Dazu wurde die DNA der Individuen mit 100 10-Basen-Primern getestet.
Die PCR-Produkte wurden danach auf Prasenz oder Absenz von polymorphischen
DNA-Fragmenten untersucht. Mit den daraus resultierenden Bewertungs-Matrices wur¬
den sogenannte Cluster- und Parsimony-Analysen durchgefuhrt. Die so erhaltenen Ver-
wandtschafts-Baume stimmten nur in sehr begrenztem Masse mit den tatsachlichen
Stammbaumen iiberein. Auffallend war die Tendenz, dass Nachkommen fast aus-
schliesslich mit dem rekursiven Elter gruppiert wurden. Insgesamt betrachtet sind die In¬
dividuen eines Apfelstammbaumes wohl zu nahe miteinander verwandt, um auf
RAPD-Makern basierende Ahnlichkeitsanalysen durchzufuhren. Hingegen konnte die
Methode durchaus nutzlich sein, um die vielen in der Praxis vorhandenen Zufallssam-
linge zu charakterisieren. Das daraus gewonnene Wissen tiber die geographische Ab-
stammung solcher Pflanzen wiirde die ansonsten sparlichen Informationen wesentlich
bereichern. Somit wurden dem Zuchter wichtige Grundlagen fiir Entscheidungen tiber
kunftige Kreuzungen zur Verfugung stehen.
Die PCR-Technologie und daraus abgeleitete Methoden wie RAPD-Marker wurden
in den letzten Jahren zu einem Standardwerkzeug in praktisch alien Gebieten der DNA-
Analyse. Diese Arbeit zeigte, dass solche Methoden auch in Zuchtung und Erforschungdes Apfels von grossem Nutzen sind.
4
5 Introduction
INTRODUCTION
The productivity of domestic crops and their improvement probably represents one
of mankind's greatest achievements. For plants propagated vegetatively (e.g. apple), this
improvement started thousands of years ago. Probably the best example for this process
is grapevine, which has been grown for thousands of years. Different genotypes were
cultivated in different geographical regions. The early growers planted and propagated
vegetatively their own "cultivar" until they received better material from other growers.
This way, active selection could take place to improve the quality of planting materials.
For crops that have to be propagated via seed, the situation is somewhat different.
Until recently, improving quality and yield of these crops was a matter of chance in
terms of selecting the right seed for the following cultivation cycle. In the beginning,
this selection was certainly unconscious, because only the fittest plants survived to be
used for a further cycle. Later on, conscious selection of plants with superior properties
was added. But it is only since the second half of the 19th Century that breeding of do¬
mestic crops could be based upon a knowledge of heredity and genetics; it was only then
that profound decisions could be made concerning the establishment of a breeding pro¬
gramme. From a historical point of view, improvement of genetic background influen¬
ced crop yield probably more than any other single factor [1].
However, breeders are challenged to achieve additional gains by the demands of hu¬
man population growth and by a changing agricultural environment involving new agri¬
cultural practices and not least consumer preferences.
Until recently, the development of new tools for directed genetic manipulation of
crop plants remained quite far behind other technological advances in agriculture. Al¬
most all progress in breeding has been - and still is in the case of apple - based on phe-
notypic assessment of the genotype. As an example, Sax [7] associated size differences
with seed-coat pattern and pigmentation in Phaseolus vulgaris. The limited availability
of suitable markers hindered the application of genetic markers as an instrument in plant
breeding. Furthermore, the phenotypic markers used until the 1970s were mostly mor¬
phological markers, which have important restrictions: a) only a limited number of mor¬
phological markers is available, b) most markers were recessive morphological
mutations, and c) phenotypic markers are influenced by environmental conditions. The
6 Introduction
introduction of isozymes overcame some of these disadvantages, but the numbers of loci
examined and the numbers of polymorphisms detected were still limited.
The development of the restriction fragment length polymorphism (RFLP) techni¬
que enabled a direct identification of genotypes, because it is DNA-based rather than re¬
lying on phenotypes. RFLPs are produced by digestion of genomic DNA with restriction
enzymes. Differences in DNA sequences, caused by mutations such as base pair chan¬
ges, alter the length of restriction fragments, if the mutation is located at a recognition
site of the restriction enzyme. Subsequently, agarose gel electrophoresis separates the re¬
striction fragments according to their size, and a Southern analysis is performed: the
DNA is blotted to a nylon membrane or a nitrocellulose filter. Fragments in this way im¬
mobilized are hybridized to a labelled DNA probe and visualized by autoradiography or
colour reaction [8]. The method produces a virtually unlimited number of polymor¬
phisms, but it is also rather time-consuming, requires expensive laboratory supplies and
relatively large amounts of DNA.
In the second half of the 1980s, polymerase chain reaction (PCR) technology beca¬
me the basis for several new genetic assays. Based on this technology, Williams et al.
[11] and Welsh and McClelland [9] established a technique later referred to as random
amplified polymorphic DNA (RAPD). The principle of RAPD is the binding or annea¬
ling of a single, usually 10 nucleotides long primer to the genomic DNA at two different
sites on opposite strands of the DNA template. A subsequent thermocyclic amplification
produces discrete DNA products, if the priming sites are within a suitable distance of
each other. The randomness of the procedure is given by the fact that it is generally not
known, if and where such palindromic binding sites exist in the genome. Separation of
the amplification products according to their size, usually by agarose gel electrophoresis,
allows the scoring of presence or absence of specific DNA fragments in the test samples.
Amplification products that are present in different samples are homologous at each of
their ends. The absence of a particular fragment therefore identifies a nucleotide sequen¬
ce polymorphism at one of the priming sites. Each decamer primer will bind with a stati¬
stical probability to many loci in the genome, resulting in several amplified sequences of
different length. Thus, the assay is an efficient way to screen for such polymorphisms.
The RAPD assay has several major advantages over the RFLP technique. Only very
small quantities of genomic template DNA are required because of the amplifying nature
of the PCR technique. Furthermore, DNA does not have to be as highly purified and of
high quality as for RFLP analysis. The input of time and material is relatively low, and
7 Introduction
no radioactivity is needed. Because of the simplicity of the protocol, automation is feasi¬
ble. One disadvantage of the method is the need to maintain very consistent reaction
conditions in order to obtain reproducible results. Varying concentrations of template
DNA, primers, magnesium and the polymerase enzyme affect the reaction as well as
changing the annealing temperature and the thermocycling protocol. A drawback of
RAPDs compared to RFLPs is their dominant rather than co-dominant character, there¬
fore not allowing distinction of hetero- and homozygotes. Finally, the process of scoring
the fragments may itself lead to errors. It is generally assumed that PCR fragments of the
same size are identical, although co-migration of fragments of similar or equal size may
occur. Such co-migration can be detected by eluting fragments from the gel and re-pro¬
bing them via Southern analysis. As an alternative, polyaerylamide gel electrophoresis
increases resolution of fragment separation.
In the last few years, RAPD technology has been shown to be a useful tool in gene¬
tic analysis in many biological systems. The three main areas of research where the me¬
thod was applied are population genetics [12], the development of genetic maps and the
targetting of genetic markers. The aim of the work presented here was to investigate the
usefulness of the RAPD-PCR technology in some of these areas.
The first part of this thesis showed the potential of RAPD-PCR technology to discri¬
minate between apple (Malus x domestica) cultivars. While RAPD markers had been
used before for DNA fingerprinting of annual plants and animals [3,4, 5,10], this study
seems to be one of the first that was performed on perennial, strongly outbreeding
plants. Discrimination of apple cultivars is often difficult because of the many phenoty-
pical descriptors that have to be assessed.
The goal of the second part was to find molecular DNA-markers for resistance
against scab caused by the fungal pathogen Venturia inaequalis (Cke.) Wint. This resi¬
stance, also called Vf, was introgressed from Malusfloribunda 821 and was regarded as
durable until it was overcome by the fungus in the early 1990s [6]. Based upon segrega¬
tion data, this resistance is assumed to be directed monogenically, although there are
probably so-called minor genes that influence the phenotypical character of the resistan¬
ce [2]. Apple breeders are particularly interested in having DNA markers since breeding
of apple is extremely time-consuming due to the long generation cycle of the plant (at
least 4 to 6 years). It would be therefore of much use to be able to identify progeny that
fulfill one or (ideally) more selection criteria already at an early stage in the breeding
programme without the need for cumbersome tests.
8 Introduction
Finally an attempt was made to analyse individuals of three apple pedigrees regar¬
ding genetical relationships among the single plants. This was done by screening the in¬
dividuals with a relatively large set of decamer primers, scoring the amplification
products for presence or absence of polymorphic fragments and then computing genetic
distances among the plants. The question was, if the RAPD-PCR technology is sensitive
enough to correctly depict the genetic relationships of closely related organisms.
References
1. Fehr W. 1984. Genetic contributions to yield gains of five major crop plants. Spec.
Publ. No.7. Scrop Sci. Soc. Am., Madison, Wisconsin.
2. Gessler C. 1989. Genetics of the interaction Venturia inaequalis - Malus: the conflict
between theory and reality. In: Gessler, Butt and Koller (eds), Integrated control of
pome fruit diseases II, OILB-WPRS Bulletin XII/6, pp. 168-190.
3. Hadrys H., M. Balick, and B. Schierwater. 1992. Applications of RAPD fingerprint¬
ing in molecular ecology. Mol. Ecol. 1:55-63
4. Hu J., and C.F. Quiros. 1991. Identification of broccoli and cauliflower cultivars with
RAPD markers. Plant Cell Rpts. 10:505-511.
5. Kresovich S., J.G.K. Williams, J.R. McFerson, E.J. Routman, and B.A. Schaal. 1992.
Characterization of genetic identities and relationships of Brassica oleracea L. via
random amplified polymorphic DNA assay. Theor. Appl. Genet. 85:190-196.
6. Parisi L., Y. Lespinasse, J. Guillaumes, and J. Kriiger. 1993. A new race of Venturia
inaequalis virulent to apples with resistance due to the Vf-gene. Phytopathology
83:533-537.
7. Sax K. 1923. The association of size differences with seed-coat pattern and pigmenta¬
tion in Phaseolus vulgaris. Genetics 8:552-560.
8. Southern E. 1975. Detection of specific sequences among DNA fragments separated
by gel electrophoresis. J. Mol. Biol. 98:503-517.
9. Welsh J., and M. McClelland. 1990. Fingerprinting genomes using PCR with arbitrary
primers. Nucleic Acids Res. 18:7213-7218.
10. Welsh J., C. Petersen, and M. McClelland. 1991. Polymorphisms generated by arbi¬
trarily primed PCR in the mouse: Application to strain identification and genetic
mapping. Nucleic Acids Res. 19:303-306.
11. Williams J.G.K., A.R. Kubelik, K.J. Livak, J.A. Rafalski JA, and S.V. Tingey. 1990.
DNA polymorphisms amplified by arbitrary primers are useful as genetic markers.
Nucleic Acids Research 18:6531-6535.
12. Wolfe M. S., and J. M. McDermott. 1994. Population genetics of plant pathogen in¬
teractions: The example of the Erysiphe graminis - Hordeum vulgare Pathosystem.
Annu. Rev. Phytopathol. 32:89-113.
9 Identification ofapple cultivars
Identification of apple cultivars using RAPD markers
Abstract
Eleven apple cultivars were differentiated using RAPD markers obtained by PCR.
Variability of the technique and of the origin of the DNA extract was analyzed. A set of
bands consistent in presence or absence was chosen to create a differentiating band pat¬
tern. A key to differentiate apple cultivars using a commercially available primer is pro¬
posed.
Introduction
Discrimination of apple cultivars as they are being multiplied and grown is extreme¬
ly important, as correct identification is usually not possible conventionally until fruit
are produced [7]. The characterization of cultivars requires a large set of phenotypic data
which is often difficult to assess and sometimes variable due to environmental influen¬
ces. The term cultivar means today that all trees with the particular cultivar name are
phenotypically equal and originate from the same ancestor by vegetative reproduction.
This implies basically the same genome for all trees of a certain cultivar.
Although isoenzyme systems have been useful in cultivar identification [7], they are
limited by the number of informative markers and give no direct assessment of the po¬
tential variation present in the genome. In addition, certain systems are prone to environ¬
mental or developmental variation. Direct assessment of genetic variation at the DNA
level avoids such difficulties. Restriction fragment length polymorphisms (RFLPs) have
been used to identify apple clones and seedlings [5, 6], but the technique is laborious
and not suited for studies of a large number of samples [10]. Randomly amplified poly¬
morphic DNA (RAPD) markers generated by Polymerase Chain Reaction (PCR) can be
used to differentiate between morphologically indistinguishable strains and varieties [8,
9, 3]. DNA profiles based on arbitrarily primed PCR is both time and cost effective [2].
Furthermore, the availability of markers will aid in mapping genes coding for agronomi-
cally important characters. Such a molecular aid will increase efficiency and reduce the
Published as: B. Koller, A. Lehmann, J. McDermott and C.Gessler. 1993. Identification of applecultivars using RAPD markers. Theoretical and Applied Genetics 85:901-904.
10 Identification ofapple cultivars
time-scale of plant breeding [4, 11]. In this work we tested the reliability of the RAPD-
PCR as a tool for the identification of apple cultivars.
Material and Methods
The following apple cultivars were used in this study: Arlet, Cox's Orange Pippin,
Fiorina, Gala, Glockenapfel, Golden Delicious, Idared, Ingold, Ontario, Red Delicious
and Spartan.
DNA isolation: Apple leaves of one tree of each cultivar were frozen immediately in
liquid nitrogen and stored at -80 °C. Leave samples were taken from trees grown at Fe¬
deral Research Station Wadenswil and Ingenieurschule Wadenswil, Switzerland. From
cultivar Golden Delicious, five samples of leaves were taken from five scions (one sam¬
ple/scion). The Golden Delicious trees were grown on M26 rootstocks. DNA was extrac¬
ted as described by Dellaporta et al. [1] with the following modifications: after RNAse
treatment 1 Volume of Chloroform-Isoamylalcohol (24:1) was added, mixed and centri-
fuged at 6500 x g for 10 min. The upper aqueous phase was transferred to a new tube
and 5 M NaCl was added to a final concentration of 0.2 M. Two volumes of cold ethanol
(-20 °C) was added, mixed and allowed to stand for 30 min at 4 °C. After centrifugation
at 6500 x g, the supernatant was discarded and the DNA pellet was rinsed in 500 pi of
70 % ethanol. After centrifuging, the ethanol was discarded and the pellet air-dried. The
DNA was dissolved in 100 ul of TE buffer pH 7.4.
Amplification conditions: Amplification reaction volumes were 25 ul containing 10
mM Tris-HCl pH 8.3, 50 mM KC1, 2.5 mM MgCl2, 100 M each of dATP, dCTP, dGTP
and TTP (Boehringer), 0.28 uM Primer, 5 ng of genomic DNA and 1 U Taq DNAPoly¬
merase (Boehringer). Amplification was performed in a Perkin Elmer Cetus Gene Amp
PCR System 9600 programmed as follows: 2 cycles of 30 sec at 94 °C, 30 sec at 36 °C,
120 sec at 72 °C; 20 cycles of 20 sec at 94 °C, 15 sec at 36 °C, 15 sec at 45 °C, 90 sec at
72 °C; 19 cycles of 20 sec at 94 °C (increased 1 sec/cycle), 15 sec at 36 °C, 15 sec at 45
°C, 120 sec at 72 °C (increased 3 sec/cycle), followed by 10 min at 72 °C.
Amplification products were electrophoresed in 1.5 % agarose (Biorad) gels with 1
x TPE (0.09 M Tris-phosphate, 0.002M EDTA) and stained with ethidium bromide (0.5 ug/ml).
The following primers were used: Primer P2 5'ACGAGGGACT; E6 5'AA-
GACCCCTC.
71 Identification of apple cultivars
Results
The arbitrarily primed DNA profiles of five separate DNA samples with two primers
is illustrated in Fig. 1. This analysis was performed on DNA extracted from five Golden
Delicious trees to show within-cultivar variation of amplification results. For each pri¬
mer the DNA profiles are uniform over the five trees.
kbp
2.1-
1.7-
1.2-
1.0-
0.6—! 1' %ifemj
kbp
2.1-
1.7-
B
Fig. 1. Amplified DNA polymorphisms
of five Golden Delicious scions. A and B
were made with two different primers
(P2; E6) in the same PCR run. PCR pat¬
terns using a particular primer do not dif¬
fer between the inoculants. Electropho¬
resis was performed on Agarose gel
(1.5%).
-»*? — --
1.2-
1.0— 1
** *5 tt £
Wfff BP wl*
i*-i- -* *#*.> <•**»*'
#§§»*.«
0.6—
m. r? ***
A
J L
B
Fig. 2. Effect of DNA concentration in PCR reaction mixture.
From left to right: Each lane is the 3 fold dilution of the previouslane. DNA was extracted from cultivar Glockenapfel. In A, pri¬mer P2, in B, primer E6 was used. Highest DNA concentration
(first left lanes) was 55 ng DNA in 25 (il reaction mixture.
12 Identification ofapple cultivars
The results of PCR amplifications were robust over a wide range of DNA concentra¬
tions. With more than a 2000 fold change in DNA concentration the variation in the PCR
amplifications were primarily quantitative (Fig. 2). This consistency is especially true
for bands that are strongly amplified.
To show repeatability, PCR amplifications were performed four separate times with
two separate, arbitrary primers on extracts from a set of two cultivars. Variation in the
DNA profiles can be observed among the sequential PCR runs. Some bands in the DNA
profiles (Fig. 3) were consistently amplified in each run, while others varied consider¬
ably.
A set of 11 arbitrarily chosen apple cultivars was subjected to several arbitrarily pri¬
med PCR runs. The banding patterns of those 11 cultivars showed consistently appea¬
ring bands throughout all cultivars as well as bands appearing only in some cultivars
(Fig. 4). In order to determine consistently appearing bands, amplifications were repea¬
ted at five separate times (Fig. 5). For each apple cultivar a set of bands, appearing con¬
sistently in all five repetitions, was identified disregarding bands that appear throughout
all cultivars. This set provided 14 RAPD markers which can be used to clearly distingu¬
ish among the 11 cultivars.
Scoring for the presence or absence of these markers results in a unique binary code
for each cultivar (Table 1).
iA B
,, _A B
Fig. 3. Amplified DNA polymorphisms of extracts from cultivar Arlet
(1) and Fiorina (2) using two primers (A: primer P2, B: primer E6).Four different PCR (I,n,IIT,IV) were performed at separate times.
DNA concentration was 5 ng DNA in 25 |ll reaction mixture.
13 Identification of apple cultivais
0 6 —
# <^^^
<x°'^ ^ ^
^
O^kV° X"
^ ^&' &*
,\0 A J>
c£^
<**<a
Fig. 4. Banding patterns of 11 different apple cultivars m a simultaneous
PCR using primer P2 DNA concentration was 5 ng DNA in 25 (il reac¬
tion mixture
Arlet Cox Orange Fiorina Gala Golden Del Glockenapfel
0 6 —I
^K, ^K' Hi *s£ **" K"'* **"' '^ *» *m ^m wm ^m ^m ^m ^m ^m ^m ^m ^m •» *•
*.jf?. fit*** -:""-"' ?!•:-
Idared Ontario Red Del Spartan
Fig. 5. Amplified DNA polymorphisms of extracts from 11 different apple cultivars.
PCR was repeated at five separate times using primer P2 DNA concentration was 5 ng
DNA in 25 |il reaction mixture.
14 Identification ofapple cultivars
kbP Band No.
1.0—= ==== ==_=— =89
.10
• 1112
14
Fig. 6. Banding pattern system created by selecting consistent bands
from Fig. 5.
Discussion
In this study we demonstrated that arbitrarily chosen commercial decamer primers
can be used to generate amplified segments of genomic DNA which differentiate apple
cultivars. This method is rapid and simple and produces repeatable results. By pre-scree-
ning 24 10-mer primers for their informative content we found one primer that detects
enough genetic variation among the 11 apple cultivars to allow for complete differentia¬
tion. By selecting only strongly (and therefore consistently) amplified DNA segments as
informational bands, variation of minor bands resulting from different amplifications can
be excluded.
The 14 bands allow a theoretical differentiation of 16384 band combinations, more
than sufficient for all known apple varieties. However, the narrow gene pool of apple
and the close relationship among many cultivars will require additional markers, genera¬
ted by more primers, to fully characterize and distinguish a larger set of cultivars.
Given the results so far it should be possible to establish a standard set of primers
which can be used to distinguish and characterize most common apple cultivars. If this
system were to be generally used it would be useful to generate a set of amplified DNA
fragments corresponding to the informative markers to serve as size standards for eva¬
luating the presence or absence of particular bands. This would facilitate the comparison
of results from different research groups.
15 Identification ofapple cultivars
Table 1. System for differentiation of 11 apple cultivars based on the
presence (1) or absence (0) of chosen RAPD bands (Fig. 6).
Band No.a
1 3 4 5 6 7 8 9 11 12 13 14
Arlet 0 0 0 1 0 0 1 1 0 1 0 0
Cox Orange 0 1 0 0 0 1 1 1 1 1 0 0
Fiorina 0 1 1 0 1 1 1 1 1 0 0 0
Gala 0 0 0 1 0 1 1 1 1 0 0 0
Golden Delicious 0 1 0 1 0 0 1 1 1 0 0 0
Glockenapfel 1 1 0 1 0 0 0 0 1 0 1 1
Ingol 0 1 0 1 0 1 1 1 1 0 0 0
Idared 0 0 0 0 1 0 1 1 0 1 0 0
Ontario 0 0 1 0 1 0 0 1 1 0 0 1
Red Delicious 0 0 0 1 0 0 1 1 1 0 0 1
Spartan 0 0 0 0 1 0 0 1 1 0 0 0
a) Bands number 2 and 10 were omitted since they are present in all cultivars and the¬
refore not informative for differentiation.
The use of RAPD analysis in the identification and characterization of apple cul¬
tivars and breeding lines would be of considerable help to breeding institutes and
nurseries. These markers will also be of use in the European apple genome mapping
project [4].
References
1. Dellaporta S.L., J. Wood, and J.B. Hicks. 1983. A plant DNA minipreparation: version
II. PI. Mol. Biol. Rep. 1:19-21.
2. Hedrick P. 1992. Shooting the RAPDs. Nature 355:679-680.
3. Goodwin P.H. and S.L. Annis. 1991. Rapid identification of genetic varia-tion and
pathotype of Leptosphaeria maculans by random amplified polymorphic DNA as¬
say. Applied and environmental microbiology 57:2482-2486.
4. King G.J., F.H. Alston, I. Batlle, E. Chevreau, C. Gessler, J. Janse, P. Lindhout, A.G.
Manganaris, S. Sansavini, H. Schmidt, and K. Tobutt. 1991. The 'European apple
genome mapping project' - developing a strategy for mapping gene coding for agro¬
nomic characters in tree species. Euphytica 56:89-94.
16 Identification ofapple cultivars
5. Nybom H. and B.A. Schaal. 1990. DNA "fingerprints" applied to paternity analysis in
apples (Malus x domestica). Theor. Appl. Genet. 79:763-768.
6. WatiUon B., P. Druart, P. Du Jardin, R. Kettmann, P. Boxus, and A. Burny. 1991. Use
of random cDNA probes to detect restriction fragment length polymorphisms
among apple clones. Scientia Horticulturae 46:235-243.
7. Weeden, N.F. and R.C. Lamb. 1985. Identification of apple cultivars by isozyme phe-
notypes. J. Amer. Soc. Hort. Sci. 110:509-515.
8. Welsh J. and M. McClelland. 1990. Fingerprinting genomes using PCR with arbitrary
primers. Nucleic acids research 18:7213-7218.
9. Welsh J., C. Petersen, and M. McClelland. 1991. Polymorphisms generated by arbi¬
trarily primed PCR in the mouse: application to strain identification and genetic
mapping. Nucleic Acids Research 19:303-306.
10. Williams J.G.K., A.R. Kubelik, K.J. Livak, J.A. Rafalski, and S.V. Tingey. 1990.
DNA polymorphisms amplified by arbitrary primers are useful as genetic markers.
Nucleic Acids Research 18:6531-6535.
11. Wolfe M.S. and C. Gessler. 1992. Resistance genes in breeding: epidemiological con¬
siderations. In: Genes Involved in Plant Defense. Boiler T. and F. Meins (eds). Plant
Gene Research vol. 8. pp. 3-23.
17 Molecular markers
DNA-markers linked to the Malusfloribunda 821
scab resistance
Abstract
Breeding resistant apple plants is an alternative way to control fungal pathogens re¬
ducing the environmental impact due to the use of pesticides. The breeding of apple cul-
tivars resistant to Venturia inaequalis, could be much improved by marker assisted
selection. A molecular marker closely linked to the resistance locus called Vf could re¬
place selection based on infection studies. To find such molecular markers, DNA of pro¬
genies from crossings of a resistant and a susceptible apple tree was subject to bulked
segregant analysis. Two markers were found with a genetic distance of 10.6 % and
19.7 % recombination frequency to the Vf-locus.
Introduction
Apple production is a high quantity and quality output system that requires high
technological and industrial input. This includes crop protection by intensive use of pe¬
sticides, which is the most questionable aspect in terms of environmental and consumer
acceptability. Although alternative strategies have made some progress in disease con¬
trol, fungal disease management still relies mainly on fungicides. Breeding of resistant
plants is an alternative fungal pathogen control strategy, which is safer for the environ¬
ment and yet effective against the fungus. Apple breeders started working with resistan¬
ce against the major diseases of apple in 1926 [3]. Resistance against apple scab, caused
by Venturia inaequalis (Cke.) Wint. is mostly introduced from wild Malus species, whe¬
re Malusfloribunda 821 is the most frequently used source of scab resistance. The resi¬
stance is assumed to be coded by one gene, called Vf.
This type of resistance was believed to be durable until it was overcome by V. inae¬
qualis in Germany [19].
Apple growers will only make use of scab resistant cultivars if firsdy, the cultivars
match market requirements, and secondly, the resistance is durable. Durable resistance
may be realized by breeding cultivars containing a combination of genes for specific re-
Published as: B. Koller, L. Gianfranceschi, N. Seglias, J. McDermott, C.Gessler. 1994. DNA-mar¬
kers linked to the Malus floribunda 821 scab resistance. Plant Molecular Biology 26:597-602.
IS Molecular markers
sistances [17]. Appropriate orchard planning and management should make resistance
even more stable or longer lived [1]. A major requirement for resistance breeding and
especially for pyramiding resistance genes is the ability to recognise functionally diffe¬
rent resistances in order to select progeny accordingly [7,14,25].
To fulfil this, selection can be based on testing progenies with various pathogen ra¬
ces that allow the identification of functionally different resistances. This method requi¬
res inoculum of defined virulences, and the testing of progenies is very laborious and
time-consuming. Testing such resistances may even be impractical, if by some reason
the pathogen to be tested cannot be used in the test location. Breeding programmes also
vary in classification of scab-resistant plants, depending on what classes are considered
as resistant [15].
Based on the assumption that functionally different resistances are coded by diffe¬
rent genes in the genome, selection of progenies by marking the corresponding genome
segment offers a more elegant approach.
In recent years, DNA-markers have been widely used to construct linkage maps, and
RFLP maps became a standard in genome mapping. Some RFLP markers also showed
tight linkage to some human and plant genes [18,28].
If only one phenotype is to be marked, i.e. if the phenotype is monogenically in¬
herited, near isogenic lines (NILs) allow one to produce markers for a region of interest
[13, 28]. Unfortunately, apple is a heterogamous, highly heterozygous plant with a long
generation time, and therefore NILs are not available.
A new and powerful approach is given with the bulked segregant analysis [9, 16].
Bulked segregant analysis is based on utilization of a population segregating for a gene
of interest. The population is screened for presence or absence of the phenotypical char¬
acter to be targeted, i.e. scab resistance in the case of apple. DNA samples from resistant
and susceptible individuals are then pooled to obtain a "resistant" and a "susceptible"
bulk. The bulks will be enriched for alleles linked to the region of interest [9], as the rest
of the genotype will be randomly distributed over the individuals of the bulks. The bulks
are then subject to RAPD-PCR [26]. Polymorphic bands are supposed to result from the
priming within or close to the target gene, which is present in the resistant bulk but ab¬
sent in the susceptible. Segregation analysis for the polymorphic bands of the progeny
allows for the calculation of genetic distances.
19 Molecular markers
Material and Methods
Resistance screening
The progenies of crosses from the following apple cultivars were analyzed: Idared x
M. floribunda 821 (IxM), P22R24A8 x K1R11A26 (PxK), where M. floribunda and
P22R24A8 are the carriers of the Vf resistance. Progeny size was 248 (IxM) and 347
(PxK) plants. 29 resistant and 30 susceptible plants were used from the IxM progeny,
and 13 and 17 from the PxK cross, respectively.
The inheritance of the Vf-gene was identified in two steps. Firstly, plants were infec¬
ted in the greenhouse, where plants were sprayed with a suspension of spores from V.
inaequalis. Disease was rated in classes 0 to 4 [2], according to the reaction type, where
class 4 represents the highest susceptibility. Plants rated as 0 and 1 were subject to a se¬
cond infection with controlled environmental conditions. Drops (7 |il) of a spore suspen¬
sion (10 conidia/ml) were deposited on the two youngest leaves of each seedling to be
tested. The inoculum for this test was taken from sporulating lesions found on open-pol¬
linated Golden Delicious seedlings. Plants were kept at 18 °C and 100 % rel. humidity
for 48 hours and then put in a greenhouse. Assessment of susceptibility and resistance
was performed after 10-12 days by macro- and microscopical studies after Gessler [6].
DNA extraction and RAPD amplification
DNA was extracted following a protocol by Dellaporta et al. [4] with the modifica¬
tions of Koller et al. [11] and then diluted to a concentration of 1 ng/fil. For both cros¬
ses, two "resistant" and "susceptible" bulks consisting of 10 individuals were created by
choosing individuals from the progeny previously scored as resistant or susceptible. Due
to the low number of progeny available in the PxK cross, some individuals had to be
used twice for composition of the bulks.
For screening, 400 random 10 base primers (Operon Technologies Inc.) were once
used in a PCR under the following conditions:
Amplification reaction volume was 15 \i\ containing 10 mM Tris-HCl pH 9.0, 50
mM KC1, 1.9 mM MgCl2, 100 M each of dATP, dCTP, dGTP and dTTP (Boehringer),
0.3 M Primer, 5 ng of genomic DNA and 1 U Taq DNA Polymerase (SuperTaq, Stehelin
AG, Basel). Amplification was performed in a Perkin Elmer Cetus Gene Amp PCR Sy¬
stem 9600 programmed as follows: 2 cycles of 30 sec at 94 °C, 30 sec at 36 °C, 120 sec
at 72 °C; 20 cycles of 20 sec at 94 °C, 15 sec at 36 °C, 15 sec at 45 °C, 90 sec at 72 °C;
20 Molecular markers
19 cycles of 20 sec at 94 °C (increased 1 sec/cycle), 15 sec at 36 °C, 15 sec at 45 °C,
120 sec at 72 °C (increased 3 sec/cycle), followed by 10 min at 72 °C.
Amplification products were electrophoresed in 1 % agarose gels with 0.5x TBE
(0.045 M Tris-borate, 0.001 M EDTA) and stained with ethidium bromide. Recombina¬
tion frequencies were calculated using MAPMAKER [12], regarding the IxM progeny
as a backcross generation and performing multi-point linkage analysis when the two mo¬
lecular markers and Vf resistance was included in calculation.
Results
400 random decamer primers were screened, where about 5 to 10 fragments were
scored per primer. Bulks of the two crosses were screened separately. Out of the 400 pri¬
mers, only two showed polymorphic PCR products between the resistant and the suscep¬
tible bulks: M18 and Ul. The size of the polymorphic fragments is 900 and 400 bp,
respectively. These products appeared in the resistant bulks, but not in the bulks made of
DNA extracts from susceptible plants. Accordingly, the fragments were present in the re¬
sistant parent (Malus floribunda 821) but not in the susceptible (Idared) (Figs. 1, 2).
Screening the IxM progeny (i.e. the resistant and susceptible plants), 3 of 29 resistant
plants did not show the MI8900 fragment, whereas 2 of 30 susceptible plants had the
fragment present (Table 1). The UI400 fragment was present in 8 susceptible plants and
absent in 2 resistant plants.
SM R1 R2S1 S2 RP SP M I
Fig. 1. RAPD-patterns showing the presence or absence of the
M18900-fragment (arrow) in progeny and parents of the cross Ida-
red x Malus floribunda 821. Rl, R2: bulks made of 10 resistant
progenies. SI, S2: bulks made of 10 susceptible progenies. RP, SP:
resistant and susceptible individuals of the cross, respectively. M:
Malus floribunda 821, I: Idared. SM: Size marker: 100 bp ladder
(Gibco).
21 Molecular markers
bp
1500
600
400
" i'.;\; |jgi |u| Im2-'.., (MM Mg
^m *M*""* 85 Bw
~* K=
^"55
—
TT
^^ ^s ^g gs ^z ^g m» ^j ^s mm ^j jjg 5i III mi^HP* iB^ *^Pf ^^^ ^^p -^^^ ^^* i^w ^^y ^^^ ^W
«n^ J*. ««•
SM S1 S2 R1 R2 M I RP SP
Fig. 2. RAPD-patterns showing the presence or absence of the
UUoo-fragment (arrow) in progeny and parents of the cross Ida-
red x Malus floribunda 821. SI, S2: bulks made of 10 suscepti¬ble progenies. Rl, R2: bulks made of 10 resistant progenies. M:
Malus floribunda 821, I: Idared. RP, SP: resistant and suscepti¬ble individuals of the cross, respectively. SM: Size marker: 100
bp ladder (Gibco).
^;#/./;/
-* i5
#* c? ^
^ #.# #s
fr v^
or
4?
<§*
c? ^
^<5^ rS>
r» ^ ^e#
M18 U1
Fig. 3. Survey of the presence or absence of the MI8900- and the UI400-
fragment in several commercial apple cultivars. SM: Size marker: 100 bpladder (Gibco). The fragment is present in the Vf-resistant Fiorina only (ar¬
rows), while it is absent in the other, susceptible cultivars.
22 Molecular markers
From these results, genetic distances could be calculated using MAPMAKER. The
distance Vf-M189oo was determined as 10.6 % recombination frequency, while the di¬
stance MI8900-UI400 is 8.9 % recombination frequency. Both fragments were located
on the same side on the linkage map with respect to the Vf-locus.
Appearance of the polymorphic bands from IxM was also tested on the PxK proge¬
ny. While band Ml8900 can be found in PCR products of those plants, primer Ul does
not produce the polymorphic fragment. Because of the small number of individuals from
this cross, genetic distances were not calculated.
Several scab resistant (+) and susceptible (-) apple cultivars were screened for mar¬
ker MI8900: Boskoop (-), Coop-13 (+), Fiorina (+), Glockenapfel (-), Golden Delicious
(-), Idared (-), Jonafree (+), Jonagold (-), Maigold (-), Malus floribunda (+), Pinova (-),
Spartan (-). Marker MI8900 was present in the Vf-carriers Coop-13, Fiorina, Jonafree,
M.floribunda, while it was absent in all the others. The presence and absence of markers
Ml8900 and UI400 for some of these cultivars is shown in Fig. 3.
Table 1. Linkage data for two markers linked to the Vf-resis-
tance locus based on the presence (+) or absence (-)of polymorphic DNA fragments. Data were ob¬
tained from selected resistant and susceptible plantsof the cross Idared x Malusfloribunda 821.
Resistant (Vf) Ul400a M18900a nr. of plants
+ + + 23
+ - - 3
+ + nb 2
+ n + 1
- - - 19
- + + 2
- + - 4
- - n 2
- n - 1
- + n 2
Appearance of a DNA-fragment produced by PCR with decamer primersM18 and Ul (Operon Technologies).
Scoring of the polymorphic fragment was not possible.
23 Molecular markers
Discussion
The RFLP technique has been widely used in analysing plant populations, and some
RFLP markers were shown to be tightly linked to genes coding for disease resistances
[21, 28]. However, targetting particular genes by means of RFLP analysis is very time-
consuming and requires the screening of a large number of clones. The bulked segregant
analysis presented by Giovannoni et al. [9] and Michelmore et al. [16] overcomes this
disadvantage. The technique has been shown to be useful in work with lettuce [16], to¬
mato [13], bean [10] and oat [20]. All of these examples were performed on material
from autogamous plants, where the parents of the progeny used were homozygous for a
phenotypic marker. In this work, the supposed resistance gene, Vf, is heterozygous and
present only in the resistant parent. As Melchinger [14] pointed out, the use of heterozy¬
gous bulks reduces the probability of a polymorphism to be detected by 50 %, since they
are informative for the recombination events in one gamete only. This means that in our
case, only markers in coupling with the resistance gene can be found, perhaps explaining
the relatively low number of polymorphisms detected (2 polymorphic bands with 400
primers tested).
The usability of the bulked segregant analysis relies strongly on a precise resistance
scoring. This is especially true for the rating of susceptible plants, where an unsuccessful
infection can be due to resistance as well as to inappropriate infection conditions. Mo¬
reover, the expression of the Vf resistance is conditioned by modifiers [5, 22]. For this
reason, the plants used in this study were tested for scab resistance at least twice, and
only the extremely resistant and susceptible plants were used. Therefore, the plants em¬
ployed here are a selected subset of the whole population, and the distance calculations
may be slightly biased, although the x -test does not show a significant difference from
the expected l:l-segregation. This segregation is to expect when analysis is performed
on a cross from a heterozygous resistant parent with a homozygous susceptible parent.
Due to the small sample size used for molecular screening and because of the fact
that only a subset of a progeny could be investigated, only recombination frequencies
are given instead of distances in centi Morgan. However, the LOD scores for all linkage
analysis were always greater than 4, and the standard errors for linkages were as small as
0.0416 % (Vf-M18900) and 0.053 % (Vf-UUoo). The backcross algorithm in MAPMA-
KER was applied because of the fact that the progeny can be considered to represent a
backcross of the genomic region around the resistance gene. Only one map was produ¬
ced using MAPMAKER, because, due to the heterozygous state of the resistant parent,
24 Molecular markers
only markers in coupling with the resistance factor can be found. The statement that
markers MI8900 and Ul400 are on the same side of the chromosome in respect to Vf is
of course preliminary and not reliable, again because of the small sample size. Further
investigations on large progenies should provide more precise information.
The size of the DNA bulks influences the results of the PCR analysis [9]. The pool
size of 10 individuals per bulk seems to be a good compromise: smaller bulks do increa¬
se the risk of detecting homozygous regions other than the region of interest, larger
bulks increase the probability of occurrence of individuals with double crossovers.
RAPD markers are not regarded to be reliably repeatable among different laborato¬
ries. However, fragment Ml8900 could be reproduced by the HRI in Wellesbourne (UK)
(personal communication Dr. G. King).
As stated before, apple is generally self-sterile, i.e. it is a heterogamous plant. Apple
breeders have therefore to change the recurrent parent from generation to generation
[27]. Hence, true back-crossing and the creation of NILs or F2 populations is not possi¬
ble.
A set of DNA markers closely linked to functionally different resistances would con¬
siderably facilitate pyramiding resistances in apple breeding. Breeders now have a tool
to recognise functionally different resistances. By using DNA markers, it would be pos¬
sible to screen progenies of appropriate parents for resistance markers. This way, labo¬
rious progeny testing for phenotypic, disease resistant behaviour against various
pathogen races (sensu Gessler et al. [8]) could be avoided [15]. The use of two molecu¬
lar markers bracketing the resistance gene should further improve the reliability of such
a selection method [23] and allow to minimize the genetic drag of undesirable charac¬
ters. Thus, the number of progeny individuals to work with can be reduced considerably
already in an early stage of a breeding programme. Such a marker-facilitated selection
could be much simpler and more reliable [14] than tests for resistance against scab,
especially when breeding progenies have to be screened at a large scale.
Moreover, pyramiding can now also be made with resistances to which virulent ra¬
ces are not yet detected or not available.
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25 Molecular markers
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26 Molecular markers
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topathol. 16:359-378.
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27 Pedigree assessment
The usefulness of pedigree assessment of applecultivars determined by randomly amplified
polymorphic DNA
Abstract
Knowing the genetic relationships among apple plants is of particular interest for
breeders, because many of today's commercially available cultivars are chance seed¬
lings. Furthermore apple has a strong outbreeding character. In order to estimate the use¬
fulness of a DNA-marker based similarity analysis, three existing apple pedigrees were
used as experimental objects. The 18 individuals of the three pedigrees were analysed by
randomly amplified polymorphic DNA markers. The resulting banding pattern matrix
was used to perform cluster and parsimony analysis. The correlation between actual rela¬
tionships among pedigree individuals and the results from similarity analysis was valid
to only a limited extent, although there was a strong tendency for a progeny to be grou¬
ped together with the more outbred parent
Introduction
Selection of appropriate parents in a plant breeding programme can be facilitated by
knowledge of genetic similarities of the plants in question, allowing an efficient sam¬
pling and utilization of germplasm resources. Before the advent of DNA markers, the
estimation of such genetic similarities has been based on biochemical or morphological
markers [1,14]. Using phenotypic estimates for detenrrining genetic relationships be¬
tween plants or populations assumes that similarity in phenotype accurately represents
similarity in genotype. But, as Cox et al.[l] mention, correspondence among biochemi¬
cal or morphological markers and genetic relationships is never perfect, mainly due to
the failure of phenotypes to differentiate genotypes correctly. Nienhuis et al. [11] state
also, that identical phenotypic performance does not preclude base pair differences in re¬
levant DNA sequences.
The advances in DNA analysis techniques provide new tools for direct assessment
of genetic differences among individuals at the molecular level.
Submitted 1994 to Euphytica
28 Pedigree assessment
Restriction fragment length polymorphisms (RFLPs) have been used to estimate ge¬
netic similarities in various crops such as maize [9] and Brassica [11]. However, the low
level of DNA polymorphisms in some important crop species reduces the usefulness of
RFLPs.
The development of random amplified polymorphic DNA (RAPD) markers allows
faster and easier detection of polymorphisms than is possible with RFLPs.
This technique has several advantages compared to RFLPs, such as the low amount
of DNA used and the technical simplicity of the methodology [18]. RAPD markers are
now used in a wide range of analyses such as genotype identification, genetic mapping,
phylogenetic studies, population and pedigree analyses [12,18, 19].
As stated above, knowledge of genetic similarities among genotypes is useful in
breeding programmes, where the breeder can use similarity information in order to
choose appropriate parents for crosses. This is especially true in the case of apple, where
no true backcrossing is possible due to a high level of self-incompatibility. Therefore,
the breeder needs to know the genetical background of the non-recurrent parent. Many
apple cultivars are of unknown provenance, and no information about ancestors is avai¬
lable. In addition, the generation cycle of apple is long (at least 4 to 6 years), and bree¬
ding of this crop is therefore time-consuming. Analysis of genetic relationships of apple
i— Gala
FAW7207
Kidd's Or. -
Red Delicious
I— Cox Orange
'—Golden Del.
Fiorina etc.
i- Jonathan
FAW7372
Fiesta
Idared -
- Wagener
- Cox Orange
Fiorina -T etc.
Fig. 1. Pedigrees of the three
apple varieties "Fiorina",
"FAW7207" and "FAW7372".
The underscored individuals in
the "Fiorina" pedigree no lon¬
ger exist and could not be in¬
cluded in this work.
r 14-126 -
Fiorina
2424.02
Golden Del.
L26829-2-2-
u Starking
9433-2-2 -
^ 9433-2-8 -
Rome Beauty
~W. floribunda
^Jonathan
29 Pedigree assessment
cultivars could help in making more informed decisions in choosing which genotypes to
cross.
In this study we wanted to investigate the usefulness of genetic similarity analysis in
apple breeding. It should be shown whether the given genetic relationship of three diffe¬
rent apple pedigrees could be represented by the degree of similarity. The material used
here consisted of individuals of the pedigrees of the apple cultivar "Fiorina" and the two
selections "FAW7207" and "FAW7372".
Material and Methods
Eighteen apple cultivars and experimental selections were used in this study. The
plants were selected according to the pedigrees of three scab resistant apple varieties,
"FAW7207", "FAW7372" and "Fiorina" (Fig. 1). The cross Rome Beauty xMalusflori-
bunda 821 was made in 1914 [2]. The Fl-progenies 9433-2-2 and 9433-2-8 no longer
exist. Most leaf material was taken from a collection orchard in Wadenswil (Switzer¬
land); some material not available in Switzerland was kindly provided by the National
Germplasm Repository, Geneva, NY, USA.
DNA was extracted following a protocol by Dellaporta et al. [3] with modifications
by Koller et al. [6] and then diluted to a concentration of 1 ng/|xl.
The 18 DNA samples were screened with 100 random 10 base primers (Kit
A,B,C,G,H from Operon Technologies Inc.), running PCR under the following condi¬
tions: Amplification reaction volume was 15 ja.1 containing 10 mM Tris-HCl pH 9.0, 50
mM KC1, 1.9 mM MgC12, 100 M each of dATP, dCTP, dGTP and dTTP (Boehringer),
0.3 M Primer, 5 ng of genomic DNA and 1 U Taq DNA Polymerase (SuperTaq, Stehelin
AG, Basel). Amplification was performed in a Perkin Elmer Cetus Gene Amp PCR Sy¬
stem 9600 programmed as published in Koller et al. [6].
Amplification products were electrophoresed in 1.5 % agarose gels with 0.5x TBE
(0.045 M Tris-borate, 0.001 M EDTA) and stained with ethidium bromide.
Presence (1) or absence (0) of bands was scored for each of the 18 apple varieties.
The data were then put in separate matrices according to the three pedigrees. Calcula¬
tions of coefficients of similarity (simple matching, Jaccard's and Nei's) [5,10] and clu¬
ster analysis (using the UPGMA method) was performed with the Numerical taxonomy
and multivariate analysis system (NTSYS-pc) [13]. The PAUP software for phylogenetic
analysis [16] was used to generate dendrograms showing relationships among the varie-
30 Pedigree assessment
ties. Heuristic search was performed with each of the three datasets, using bootstrapping
with 1000 replications and the branch swapping / tree bisection option.
Results
One hundred 10-base primers were tested with the DNA of the 18 individuals of
three apple pedigrees. Primers that produced a distinct banding pattern with polymorphic
fragments were retested twice. Each of the selected primers produced about 5 to 15
bands. 52 polymorphic fragments were clearly scorable and reproducible throughout
three repetitions. Presence or absence of those fragments was scored for all 18 varieties.
Scoring data were then separated into three groups, corresponding to the three original
pedigrees. Similarities among the individuals of each pedigree were estimated by calcu¬
lating coefficients of similarity followed by cluster analysis.
In the case of pedigree "Fiorina", the use of the three above-mentioned coefficients
of similarity produced three identical clustering trees. The relative similarities among the
varieties were quite consistent for each coefficient. Analysis of the other two pedigrees
0.24
I—
0.60
I—
0.00
r—
0.30
0.66
H—
0.25
H—
FAW7207
0.361—
0.42
—I—
FAW7372
0.72
10.78
Fiorina
0.50 0.75
0.48
Red Delicious
Cox Orange-Kidd's Orange
j Golden Delicious' Gala
Fiorina
FAW7207
c
0.84
H— Jonathan— Idared— Wagener— Fiorina— FAW7372— Cox Orange— Fiesta
1.00
' Malus floribunda
Rome Beauty26829-2-2
' Golden Delicious
•14-126
2424.02
StsrkingJonathan
Fiorina
Fig 2. Cluster dendrograms of
the pedigree individuals of
three apple varieties as deter¬
mined from RAPD-DNA pro¬
bes. The pairwise coefficients
of similarity (Jaccard) were
clustered using the UPGMA
method of NTSYS-pc.
31 Pedigree assessment
"FAW7207" and "FAW7372" revealed trees where some subgroups were ordered differ¬
ently. As a result, variety Jonathan (ancestor in pedigree "FAW7372") was correctly in¬
cluded in a node with its progeny Idared when Jaccard's coefficient was used. Applying
simple matching or Nei's coefficients, Jonathan was put in an outer node and therefore
regarded as less closely related to Idared.
Generally, subclusters consisted of a variety and one of its parents. This observation
is valid for all three pedigrees with the exception of Malusfloribunda, which, as a diffe¬
rent species, is notably different from all Malus x domestica varieties.
Comparing the dendrograms resulting from the three types of similarity coefficients,
Jaccard's coefficient gave the most reasonable result regarding representation of actual
relationships for pedigrees "FAW7207" and "FAW7372", whereas the Nei's coefficient
tree fitted best for "Fiorina". Cluster dendrograms (Jaccard's coefficient) for all three pe¬
digrees are given in Fig. 2.
Parsimony analysis may be applied as an alternative approach to estimate genetic re¬
lationships. Using the Wagner parsimony analysis, a 50% majority-rule consensus tree
was generated by heuristic search bootstrapping (1000 replications) with the branch
swapping / tree bisection option. For each pedigree, scoring data of an additional, unre¬
lated variety was added. This variety was then defined as the outgroup. The same gene-
FAW7207-75-
p-28 !9
I76 1
Cox OrangeKidd's Orange
Golden Delicious
Gala
Fiorina
FAW7207
Red Delicious
Wagener (outgroup)
FAW7372
Fiorina
-24-
-69-
-47-
-42-
-42-t
-n48-
Jonathan
Wagener
Idared
Cox Orange
Fiorina
FAW7372
Malus floribunda (outgroup)
Malus floribunda
Rome Beauty26829-2-2
Golden Delicious
14-126
Stacking
2424.02
Jonathan
Fiorina
Wagener (outgroup)
Fig. 3. Fifty percent majorityrule consensus tree generated
by bootstrap analysis (1000
replications) using PAUR The
numbers on branches indicate
the percentage of times that a
relationship could be di¬
stinguished.
10010
00000
10010
10000
10010
11010
10010
10010
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1010
1010
1010
1000
000
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001
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111
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0
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11
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011
001
FAW7372
Fiesta
Idared
Wagener
FAW7207
Gala
OrangeKidd's
OrangeCox
DeliciousRed
Fiorina
Jonathan
2424-02
Starting
14-126
DeliciousGolden
26829-2-2
BeautyRome
floribundaMalus
<S<<?<<<<<<<Smai[Da5m5555S55mfflaSSooQoli:ii-oooao55o(3oSivarietyapple
81
RAPD-fragment
band.theofsizearbitrarytheandInc.)nologies
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varie¬apple18inRAPD-fragmentspolymorphicof(0)absenceor(1)Presence1.Table
pedigree.actualtheregardingothereachtoted
rela¬notaretheyalthoughDelicious,GoldenandOrangeKidd'sbetweencorrelationa
showedcoefficientNei'swhere"FAW7207",pedigreeinlocatedisexceptionotherThe
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Appli¬Idared.progenyitswithtogetherputwasWagenervarietyandcoefficient,Nei's
theandmatchingsimpletheusinganalysisclusterinasgroupssamethe"FAW7372"
pedigreeinrevealedanalysisparsimonialabove,statedAsexceptions.twowithanalyses
appliedanyalmostforconsistentwasmentionedgroupstheofcompositionThegree.
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assessmentPedigree32
33 Pedigree assessment
Discussion
The aim of this research was to perform a phylogenetic analysis of chosen apple pe¬
digrees using RAPD markers and to investigate whether it could correctly represent the
actual genetic similarities between the pedigree individuals. A good correlation between
actual pedigree data and the molecular marker data would be of advantage for apple
breeders, who are interested in the degree of genetic relationship among the plant geno¬
mes they choose for their breeding programmes. Many of today's commercially cultivat¬
ed apple varieties are chance seedlings, and the geographical origin is often all that is
known about them. Analysis of the similarities and relationships between such cultivars
would widen remarkably the knowledge about their genetical background. In order to
estimate the usefulness of a DNA-marker based similarity analysis, three existing apple
pedigrees were used as experimental objects. In recent years, much work has been done
in plant research to determine similarities among different plants, breeding lines or spe¬
cies sampled in different geographical regions [4, 9, 15,17]. However, no published re¬
port could be found where a detailed plant pedigree was used to study genetic
relationships.
In this study, the results correlated only partially with the given real situation. It was
not possible to re-establish a complete pedigree by means of DNA-markers. Neverthe¬
less, an notable consistency of clustering a variety together with one of its parents was
observed. An explanation for this behaviour could be that many individuals of a pedi¬
gree are related to their ancestors as well as to their progeny. Minor differences in RAPD
banding patterns may therefore result in an overproportionally distant clustering. Anot¬
her reason may be that the models for calculating the similarities assume equal parental
contributions and no selection [8]. But of course selection was involved during the bree¬
ding process of the three pedigrees, e.g. the selection for scab resistance originating from
Malus floribunda 821. Finally, RAPD markers are dominant rather than co-dominant
markers. Heterozygous parents may therefore appear more closely related to their proge¬
ny than to the other, more inbred parent [11]. In fact, almost all of the paired subclusters
group a variety together with their more outbred parent.
Assuming that the RAPD-DNA fragments used in this study are not linked to speci¬
fic genes, selection may be mirrored by the similarity coefficients. Although the number
of markers is much too low to saturate a genome at a statistically representative level,
this would explain the grouping of "FAW7207" and "FAW7372" together with Fiorina,
34 Pedigree assessment
since the breeder was most certainly selecting for progeny with properties similar to Fio¬
rina, e.g. scab resistance.
An important factor is to be conscious of incorrect or misleading data assessment.
Given the example of a specific RAPD marker present in both parents of a cross, it may
be possible that the marker is absent in their progeny because apple is highly heterozy¬
gous and RAPD fragments are dominant markers. Nevertheless, the genetical distance
between the parents and the progeny that is missing this marker will probably be over¬
estimated due to the low total number of markers. For this reason, markers showing this
sharing pattern were omitted from similarity analysis.
The application of three different coefficients for clustering analysis produced quite
consistent results. According to Lamboy [7], the Nei's coefficient should generally be
used for measuring similarities of closely-related organisms by means of RAPD data, as
most of the similarities between RAPD samples are based on shared positive bands.
Simple matching coefficients and Jaccard's coefficients are less suited, since they dis¬
play more percent bias when false positives or negatives are present. The general consi¬
stency of the clustering trees could therefore indicate an accurate scoring of the RAPD
data.
Failure in correctly depicting the actual pedigree may also be due to the relatively
low number of polymorphisms involved. Since the varieties of a pedigree are all closely
related to each other, it might be necessary to screen many more primers in order to ob¬
tain more raw data. It cannot be ruled out that a possible source of discrepancy lies in the
reported pedigrees of the cultivars; the DNA assessments may in some cases provide a
more accurate representation of the relationships between apple plants than do the bree¬
der's records.
As mentioned above, the correlation between actual relationships among pedigree
individuals and the results from similarity analysis was valid to only a limited extent
only. For a future project, DNA from a wide set of apple chance seedlings should be ex¬
tracted and subject to similarity analysis based on RAPD markers. This would probably
allow clustering of these varieties in groups of common geographic origin.
35 Pedigree assessment
References
1. Cox, T.S., Y.T. Kiang, M.B. Gorman, and D.M. Rodgers. 1985. Relationship between
coefficient of parentage and genetic similarity indices in the soybean. Crop Sci.
25:529-532.
2. Crandall C.S. 1926. Apple breeding at the University of Illinois. Illinois Agric. Exp.
Stn. Bull. 275:341-600.
3. Dellaporta S.L., J. Wood, J.B. Hicks. 1983. A plant DNA minipreparation: version n.
Plant Mol. Biol. Rep. 1:19-21.
4. Dweikat I., S. Mackenzie, M. Levy, and H. Ohm. 1993. Pedigree assessment using
RAPD-DGGE in cereal crop species. Theor. Appl. Genet 85:497-505.
5. Jaccard P. 1908. Nouvelles recherches sur la distribution florale. Bull. Soc. Vaud. Sci.
Nat. 44:223-270.
6. Roller B., A. Lehmann, J.M. McDermott, and C. Gessler. 1993. Identification of apple
cultivars using RAPD markers. Theor. Appl. Genet. 85:901-904.
7. Lamboy W.F. 1994. Computing genetic similarity coefficients from RAPD Data: The
Effects of PCR Artifacts. In: PCR methods and applications 4:31-37. Cold Spring
Harbor Laboratory Press.
8. Lee M., E.B. Godshalk, K.R. Lamkey, and W.L. Woodman. 1989. Association of re¬
striction fragment length polymorphisms among maize inbreds with agronomic per¬
formance of their crosses. Crop Sci. 29:1067-1071.
9. Melchinger A.E., M. Lee, K. R. Lamkey, A.R. Hallauer, and W.L. Woodman. 1990.
Genetic diversity for restriction fragment length polymorphisms: Relation to esti¬
mated genetic effects in maize inbreds. Crop Sci. 30:1033-1040.
10. Nei M. 1978. Estimation of average heterozygosity and genetic distance from a
small number of individuals. Genetics 89:583-590.
11. Nienhuis J., M.K. Slocum, D.A. DeVos, and R. Muren. 1993. Genetic similarity
among Brassica olearacea L. genotypes as measured by restriction fragment length
polymorphisms. J. Am. Soc. Hort. Sci. 118:298-303.
12. Reiter R.S., J.G.K. Williams, K.A. Feldman, J.A. Rafalski, S.V. Tingey, and P.A.
Scolnik. 1992. Global and local genome mapping in Arabidopsis thaliana by using
recombinant inbred lines and random amplified polymorphic DNAs. Proc. Natl.
Acad. Sci. USA 89:1477-1481.
13. Rohlf FJ. 1987. NTSYS-pc. Numerical taxonomy and multivariate analysis system
for the IBM PC microcomputer, Version 1.3. Applied Biostatistics Inc., Setauket,
New York.
14. Singh S.P., J.A. Gutierrez, A. Molina, C. Urrea, and P. Gepts. 1991. Genetic diversity
in cultivated common bean: U. Marker-based analysis of morphological and agro¬
nomic traits. Crop Sci. 31:23-29.
36 Pedigree assessment
15. Stiles J.I., C. Lemme, S. Sondur, M.B. Morshidi, and R. Manshardt. 1993. Using ran¬
domly amplified polymorphic DNA for evaluating genetic relationships among pa¬
paya cultivars. Theor. Appl. Genet. 85:697-701.
16. Swofford D.L. 1990. Phylogenetic analysis using parsimony. Version 3.0. Users'
manual. Illinois Natural History Survey, Champaign.
17. Tinker N.A., M.G. Fortin, and D.E. Mather. 1993. Random amplified polymorphic
DNA and pedigree relationships in spring barley. Theor. Appl. Genet. 85:976-984.
18. Williams J.G.K., A.R. Kubelik, K.J. Livak, J.A. Rafalski, and S.V. Tingey. 1990.
DNA polymorphisms amplified by arbitrary primers are useful as genetic markers.
Nucleic Acids Res. 18:6531-6535.
19. Wolfe M.S., and J.M. McDermott. 1994. Population genetics of plant pathogen inter¬
actions: The example of the Erysiphe graminis-Hordeum vulgare pathosystem.
Ann. Rev. Phytopathol. 32:89-113.
37 Discussion
Discussion
In 1868, when Marie Anne Smith realized with surprise that there was an apple tree
growing in her back garden near Sydney [1], she was probably quite delighted about the
tree itself and did not care too much about the properties of the apples to be expected. In
fact all that she knew about the apple tree, which became well known as Grannie Smith,
was the origin: her garden. This was the amount of knowledge available for virtually all
apple cultivars until the beginning of this century. Only with the understanding of the
behaviour of genetical factors was it possible to intentionally cross plants in order to
combine selected properties of the parental plants.
Since then, classical breeding improved many of today's crops in characters such as
quality, yield and disease resistance. Apple breeders, however, have to contend with re¬
markable constraints. Their working subject, the apple tree, has a long juvenile phase
and generation cycle of at least 4 to 6 years. This makes the development of a new apple
variety an extremely long-term project. A second drawback is the high level of self-in¬
compatibility. It is therefore not possible to establish a true backcross breeding program¬
me, since the "recurrent" parent cannot be one of the ancestors. Even worse, some
varieties cannot be crossed with anything at all due to polyploidy, e.g. the triploid Bos-
koop. Because of the outbreeding character, apple trees are generally very heterozygous.
A third challenge for the breeder is the large number of demands that a new apple culti-
var should fulfill, such as disease resistance, fruit colour, taste, storage capability and
growth type. Disease resistance is of particular interest regarding the growing conscious¬
ness of consumers for environmental protection, and it is certainly a very powerful argu¬
ment in a marketing strategy to popularise a new variety with the producer and
consumer.
The ongoing process of resistances being overcome by the pathogens forced new
strategies for breeders as well as for farmers. The idea of pyramiding functionally diffe¬
rent resistance genes into one plant is not new [7]. For the interaction between Mains
and Venturia inaequalis, the causal agent of apple scab, several resistance genes have
been identified in various Malus sources, such as Vr (origin: Russian seedling), Vb
(Hansen's baccata #2) or Vbj (M. baccata jackii) by Dayton and Williams [11]. They
analysed crosses between either susceptible and resistant apple plants as well as crosses
38 Discussion
between two resistant apple plants in respect of segregation of the resistance. Segrega¬
tion data showed that there must exist distinct resistance loci (as well as different alleles
of some loci) since they segregated independently. It is not known until now, whether all
those (functionally different) resistance loci are truly different, or if they became trans¬
ferred to non-homologous chromosomes during the evolutionary process.
Nevertheless, the realisation of pyramiding resistances becomes possible only with a
capability of re-identifying these different types of resistances in the progeny of a chosen
cross. Until now this was done - if ever - by sequential infection tests. This procedure is
not only very laborious and time-consuming, but it is sometimes impossible due to the
lack of suitable inoculation material. Molecular DNA markers doubtlessly overcome
such limitations.
The question remains, however, if the new technologies will find their way into
practice. Apple breeders are certainly interested in the application of DNA markers to
their breeding programmes. Using such markers, the breeder can screen a large number
of progenies for the presence of one or several desired characters, e.g. one or more di¬
stinct loci for disease resistance (see publication 2 in this thesis). This way, the plants do
not have to be exposed to plant pathogens such as Venturia inaequalis.
It will also be possible to recognize several genetic factors in a much shorter time
than it would take to screen for e.g. scab resistance in the field. However, the costs of te¬
sting large progenies for presence of molecular markers for e.g. disease resistance genes
are still too great to replace classical screening. In this context, RAPD markers are not
necessarily a solution to that problem. According to Ragot and Hoisington [10], RAPD
markers are the most economical markers when a relatively small sample set has to be
tested, whereas RFLPs would be the markers of choice for larger sample sizes. But it has
to be stated again that different markers reveal different information in terms of quality
(dominance/co-dominance) and amount (one locus/many loci)[10]. Nevertheless, once a
set of markers is available that scores for several important qualitative and quantitative
characters, the size of the selection progeny can be reduced by a huge factor. This again
would reduce the amount of plantation space, thus allowing the breeder to remarkably
increase the number of offspring planted and/or the number of crosses performed.
Speaking of the Vf scab resistance, it is important to mention the so-called modify¬
ing genes [2]. These modifiers influence the phenotypic expression of the scab resistan¬
ce. It is assumed that Vf carrying plants without modifiers are susceptible to apple scab.
On the other hand, a plant carrying the modifiers cannot be resistant without the presen-
39 Discussion
ce of the major Vf gene. For example, in recent infection trials, Malusfloribunda 821
showed to be susceptible against a certain isolate of Venturia inaequalis, while Fiorina,
carrying Vf resistance originating from M. floribunda 821, was resistant [11]. This is a
clear indication for the presence of modifiers. The existence of modifiers also explains
why the progeny of a cross where Vf is present in one parent is so difficult to classify for
resistance: The distribution of one or more modifiers leads to confusing situations regar¬
ding resistance expression. Moreover, the example mentioned before in this paragraph
clearly shows that these modifying factors can originate from the susceptible parent, and
are therefore inherited independently from the Vf locus. Considering all this informa¬
tion, one can say that DNA markers for the Vf locus are valuable and important, but the
presence of a Vf marker (and therefore probably also the Vf gene) does not necessarily
predict that the plant(s) will be totally scab resistant. It would therefore be of importance
to have DNA markers for these modifying genes as well. But to find such markers will
require big efforts, if it ever will be possible. The first problem here will be the difficulty
of scoring and/or identifying the different modifying factors. Once that is possible, map¬
ping for the modifiers would be possible by QTL analysis. This in turn will only be pos¬
sible when a detailed genetic map for apple will be available. Such a detailed map has
been worked out by Hemmat et al. [4]. and is also the objective of the European Apple
Genome Mapping Project (EAGMAP) [6]. This map will probably contain more mar¬
kers and therefore be more precise. Secondly, the apple populations have been distribu¬
ted throughout different places in Europe. This enables to compare the many
agronomically important factors that are assessed, therefore reducing the impact of envi¬
ronmental influences.
An alternative way to find molecular markers could be the application of doubled
haploids by creating a set of such plants originating from an appropriate cross.
It has already been mentioned here that Malus x domestica represents a series of re¬
latively closely related cultivars, many of which are chance seedlings of unknown pro¬
venance. Traits from wild Malus species are most certainly a suitable resource for
improving apple. According to several authors [3, 9], much of existing genetic variation
in plants is held by wild ancestors of crop species. The availability of such diverse germ-
plasm and the characterization of their attributes is essential for the introgression of desi¬
rable traits. DNA markers are believed to be an especially valuable tool to accomplish
this [8].
40 Discussion
Until now, most publications about estimation of genetic relationships by means of
molecular markers do not compare their results with real situations. Their values for re¬
lationships are therefore difficult to interpret, and it seems not to be clear to what extent
these "artificial" data can reflect the situation in nature. In the third part of this work it
was therefore attempted to re-establish given pedigrees of apples by RAPD marker data.
The results were somewhat ambiguous. While it is obviously possible to confirm pater-
nalities, the individuals of a pedigree seem to be too closely related to each other to al¬
low more detailed information to be drawn out. This may be especially true for a highly
domesticated plant such as apple, where a cultivar is closely related to many other culti-
vars by the breeding and domestication process. It might well be that a RAPD marker
based study is much more appropriate for a "natural" population. The idea here is that
naturally evolved plants are, as a result from the longer evolution process, more different
in genome among each other as are apple plants. But it is not necessarily known if this
variability is great enough to let a RAPD marker based similarity analysis be more rep¬
resentative. It was, however, the aim of the third part of this thesis to evaluate the useful¬
ness of such an analysis for Malus x domestica, and this usefulness can only be tested
with material where the actual relationships between the plants are known.
The literature on the analysis of genetic relationships provides no firm concensus on
the mathematical functions to be used. Depending on which function is applied, results
can vary, although not considerably. Most authors rely on software packages that do the
analysis for them. However, it is rarely clear whether the authors fully understand the
mathematical basis and the biological meaning of the algorithms. Unless one has an ex¬
tensive knowledge of these subjects, overinterpretation of results may be common.
Wild Malus species, for example, may be characterised therefore not by such rela¬
tionship analysis, but rather by screening for molecular markers for specific characters,
once they are sufficiently available cover the traits of interest.
Within a few years, RAPD markers have become widely used in virtually all biolo¬
gical research areas. Their usefulness for breeding purposes has been proved, and their
general producibility facilitates mapping of genomes and the identification of qualitative
and especially quantitative traits.
Although the first research projects working with RAPD markers were relatively en¬
thusiastic about the new possibilities, there are also some points about the technique that
have to be carefully discussed. One point is repeatability. With the increasing popularity
of RAPD markers, it was also found that the amplifying procedure has its limitations in
41 Discussion
repeatability, not only among different experiments but also among different laborato¬
ries. The occurrence of bands that are not reliably amplified throughout many experi¬
ments is known. Such bands can be seen in the first publication of this thesis, where a
fragment in apple cultivar Spartan was amplified only in three of five repetitions. This
fragment was then scored as absent, since it was not consistently amplified in all repeti¬
tions, but such fragment should have been scored as "not known". This shows that it is
not possible to give a general rule for numbers of repetitions necessary for reliable re¬
sults. A second point is the scoring of reaction products, that is a problem that has not
been solved, and perhaps never will be. It can only be said that poorly amplified frag¬
ments should not be scored, since such fragments may "disappear" even by artifacts such
as poor gel staining or bad photographic documentation. Due to these general, method-
inherent uncertainties it is also at least questionable if RAPD markers can be used for
identification of individuals, cultivars or species, as it has been done in the first part of
thesis and in other publications [5]. RAPD markers rather provide a way of distinguis¬
hing among samples in question. However, with the increasing number of coincident
RAPD polymorphisms between the original and the sample also increases the certainty
of the questionned sample.
The impact of molecular markers on crop improvement will be influenced by seve¬
ral factors, not least by their cost. RAPD-PCR technology requires much less financial
input and infrastructure as RFLPs, but it is still too expensive for a routine screening of a
large number of individuals, mainly because of the high price of the Taq-polymerase.
Automatisation, further simplification of the technology and the possibility of screening
for many desirable characters is necessary. The constant development of modified PCR
technologies will certainly overcome the drawbacks of RAPDs. The conversion of a
RAPD marker into sequence characterised amplified regions (SCARS), for example, re¬
veals a way to greatly improve reliability and repeatability of a marker. This is achieved
by partial sequencing of the chosen marker followed by designing two specific primers
for it, each about 20 bases long. These primers will anneal only at the desired site becau¬
se of their statistically unique sequence, therefore producing only one fragment. Other
methods such as CAPS (cleaved amplified polymorphic sequences) transforms the usu¬
ally dominant RAPDs into co-dominant markers: restriction digests of chosen PCR frag¬
ments can then provide information about the homo- or heterozygosity of a marker.
These and many further developments of PCR-based methods may well provide the
need for analyses that are repeatable among different laboratories.
42 Discussion
References
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43
CURRICULUM VITAE
ROLLER Bemhard
geboren am 24. Oktober 1962 in Zug
1969-1975 Primarschule in Zug
1975-1981 Kantonsschule Zug
1981 Eidg. Matura Typus B
1982-1986 Studium der Naturwissenschaften an der ETH Zurich
1986 Diplomarbeit am Institut fiir Phytomedizin
Diplom als Naturwissenschafter ETH rnit Fachrichtung
Experimentelle Biologie
1987-1988 wissenschaftlicher Mitarbeiter am Institut fiir Phytomedizin,
Untersuchungen iiber Induzierte Resistenz
1989-1990 Forschungstatigkeit am Institut fiir Pflanzenwissenschaften, Gruppe
Phytopathologie, iiber Zellwandabbauende Enzyme von Venturia
inaequalis. Publiziert als: Koller B., M. Miiller, C. Valsangiacomo
and C. Gessler. 1992. Cell wall degrading enzymes and inhibitors
involved in the interaction between Venturia inaequalis and Malus
domestica. Acta Phytopath. et Entomol. Hungarica 27(l-4):353-359.
1989 Co-Editor von: Integrated control of pome fruit diseases II,
Gessler, Butt and Koller (eds.). OILB-WPRS Bulletin Xn/6,346 pp.
1990 Co-Editor von: Plant growth-promoting Rhizobacteria - Progress
and prospects. Keel, Koller and Defago (eds.).
OILB-WPRS Bulletin XIV/8,418 pp.
1991-1994 Assistent und Doktorand am Institut fiir Pflanzenwissenschaften,
Gruppe Phytopathologie (ETHZ) unter der Leitung von
Dr. C. Gessler und Prof. M.S. Wolfe
44
VERDANKUNGEN
Ganz besonders danke ich Dr. Cesare Gessler fur die wissenschaftliche Betreuung,
die konstruktiven Diskussionen und die vielseitigen Anregungen, die Betrachtliches zur
Entstehung dieser Arbeit beitrugen.
Ich mochte Prof. Dr. M. S. Wolfe danken, der die Aufgabe des Doktorvaters und des
Referenten iibernahm.
Ein riesiges Dankeschon geht an alle Mitarbeiter im "Insti" fur die fruchtvollen Ge-
sprache, die methodischen Anleitungen und phantasievollen Anregungen, die lustigen
Feiern, die fast wochenthchen Aperos und den starken Kaffee und iiberhaupt fur die
ganz tolle Mitarbeit.
Ein noch spezielleres Danke gebuhrt meinen Mitarbeitern in der "Apfelschorf'-
Gruppe Nicole Seglias und Luca Gianfranceschi sowie an Helge Sierotzki und Max
Miiller.
Separat verdanken mochte ich Philippe Blaise, der mich geduldig in die Computer-
welt einfiihrte und mit dem ich manche mehr oder weniger unterhaltsame Stunde bei In-
stallationen und ahnlichem verbrachte!