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Specimen arraying, databasing, imaging, sampling. Pre-lab challenges and solutions: individual tracking of collection specimens, avoiding human error when working with large batches of specimens, streamlining front-end processing of large specimen batches
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Pre-lab (front-end) processingDifferent collections have different standards
If this is not addressed collection processing may become the bottleneck in the analytical chain which could hamper large-scale barcoding projects.
Challenge is to transform this into a standard lab-compatible format
Core labs operate in 96-well plate format which require compatible front-end solutions
Logistical problems: lots and specimens
Multiple taxa from the same collecting event
Single collection voucherwith data link to the original batch number
CD002709/10/2011Unique voucher number
BATCH 09/10/2010
Barcoding – Specimen based
Unique voucher number
Label with voucher nr.
OM2035
Unprocessedspecimens
1. Arraying
Labeling
3. Imaging
4. Sampling/ Subsampling
Lab-ready 96 well microplate
Formatted data records
2. Databasing
Formattedimages
BOLD Systems (www.boldsystems.org)
LIMSCore lab procedure
Pre-lab (front-end) processing
Pre-conference Short Course on DNA Barcoding Methods
4 Main steps required to transform specimen collections into lab-ready96-well microplates
LIMS – Lab information management system
SAMPLING KITSDispatched by core analytical facilities; To streamline sample submission
1. Sampling plates 2. Sampling instructions 3. CD with templates for data entry
4. BMTA & Data Policy Agreement (iBOL)
Specimen arraying + sampling
CONCEPT: Grouping of specimens in an arrangement that is compatible with a 96-well format used by most labs
12 x 8 format
95 samples + 1 negative control
Specimen aggregate matching plate map
Arraying Databasing Imaging Sampling
Specimen/sample arraying: Examples
1drop/30μl 95-100% ethanol
Work sterile!
Ensure all cap strips are firmly into the wells
Enter corresponding sample ID in CCDB record
Subsample right amount of tissue
Excessive tissue might inhibit DNA extraction
Direct sampling
Arraying Databasing Imaging Sampling
Specimens order tomatch plate map
Tissue sampling – line-up the samples
Plant box
A
H
1
12
Correct (1 & 2) and incorrect (3 & 4)tissue sampling
Specimen/sample arraying: Examples
Arraying Databasing Imaging Sampling
Field data
Compulsory fields Include if available
Collecting number Genus
Date of collection Species
Country/province
GPS
Field identification
Family
Field observations
Picture numbers
Collectors
Measurements
Weight
Sex
Measurements
Fork length
Total length
Arraying Databasing Imaging Sampling
Transferred to specimen data sheet
Data collection: BOLD requirements
Arraying Databasing Imaging Sampling
Data collection: BOLD requirements
Arraying Databasing Imaging Sampling
BOLD specimen data spreadsheet
Voucher Information
Arraying Databasing Imaging Sampling
MS Exel based – 4 tabs/pages
BOLD specimen data spreadsheet
Taxonomy
Arraying Databasing Imaging Sampling
BOLD specimen data spreadsheetSpecimen details
Arraying Databasing Imaging Sampling
BOLD specimen data spreadsheetCollection Data
Arraying Databasing Imaging Sampling
Specimen Imaging
• .jpg format• High resolution pictures up to 20 megapixels• Maximum of 10 images per specimen
Important in the barcoding process – can serve as an electronic voucher
Arraying Databasing Imaging Sampling
Specimen ImagingFraming/Orientation
• Leave as little margins as possible• Do not cut off parts of specimen• Scale bar can be useful• BOLD allows batch comparison–
orientation must be the same
Flower/Bud Fruit Stem and spines
Display maximum diagnostic characters
Background
Colour backgrounds are impractical
Arraying Databasing Imaging Sampling
Key stages of front-end processing
1 2 3
4
Sampling &Field data
NEXT STEP IN THE PIPELINEPCRSequencing