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Barcode Wales / Codbar Cymru: A complete DNA
 Barcode Dataset of a Nation’s Native Flowering
    Plants: Creation, Applications and Public
                   Engagement




  Natasha de Vere, Tim Rich, Col Ford, Sarah Trinder, Charlie Long, Chris
   Moore, Danielle Satterthwaite, Helena Davies, Joe Moughan, Addie
   Griffith, Laura Jones, Joel Allainguillaume, Mike Wilkinson, Tatiana
          Tatarinova, Hannah Garbett, Les Baillie, Jenny Hawkins
Barcode Wales: Cod Bar Cymru
                • DNA barcode the
                  native flowering
                  plants and
                  conifers of Wales
                • Develop
                  applications that
                  utilise this
                  research
                  platform
Sample collection
• 1143 native flowering
  plants and conifers
• 455 genera, 95 families,
  34 orders
• 4272 individuals sampled,
  3637 herbarium, 635
  freshly collected
• All specimens verified by
  taxonomic expert
• Herbarium vouchers and
  full collection details for
  all samples
DNA extraction, amplification and
             sequencing
• Qiagen kits, modified
  for herbarium material
• rbcL: 5 primer
  combinations
• matK 29 primer
  combinations
• Macrogen Europe for
  Sanger sequencing
Sequence editing and multiple
              alignment
• Sequencher 4.9. contig
  assembly and manual
  editing
• rbcL alignment:
  MUSCLE
• matK alignment:
  Transalign and
  Geneious Pro 5.4.4
• Sequences BOLD and
  Genbank
The workforce: research training
Analysis
• Interspecific and
  intraspecific divergence
• Species discrimination:
  BLASTn
  Barcode Gap: min.
  interspecific p-distance > • Discrimination at
  than max. intraspecific      different spatial
  (CBOL Plant Working          scales, using species
  Group 2009)                  distribution records
• Test discrimination using • Scripts written in
  GenBank data                 Python
Recoverability
                                  rbcL         matK         rbcL & matK
No. of spp. sequenced             1117 (98%)   1031 (90%)   1025 (90%)
No. of spp. with > 1 individual   1041 (91%)   814 (71%)    808 (71%)
sequenced
Mean no. of individuals per       3            2            2
spp.
Mode of individuals per spp.      3            3            3
Range of individuals per spp.     1-9          1-8          1-8
Total no. of individuals          3304         2419         2349
sequenced


 In total 5,723 barcode sequences obtained for the 1143 species
Fresh vs Herbarium



                 matK:
                 Fresh = 5 primer
                 combinations
                 Herbarium = 29
                 primer
                 combinations
Effect of herbarium specimen age
                          Spearman Rank
                          Correlation:
                          rbcL rho =
                          0.993***
                          matK rho =
                          0.986***
Intra and interspecific divergence
                                                      rbcL       matK
No. of spp. showing intraspecific variation           66/1041    136/814
                                                      (6.3%)     (16.7%)
Mean intraspecific divergence: all individuals (SD)   0.0001     0.0003
                                                      (0.0005)   (0.0009)
Mean intraspecific divergence: theta(SD)              0.0001     0.0004
                                                      (0.0006)   (0.0011)
Mean coalescent depth (max. intraspecific) (SD)       0.0001     0.0004
                                                      (0.0006)   (0.0012)
Mean interspecific divergence (SD)                    0.0063     0.0174
                                                      (0.0069)   (0.0231)


Using uncorrected p-distances
Relative discrimination


                            69         99
                                 75    100
                            68         98
                                 74     99
                      56               96
                       57             95



808 species
Recoverability and discrimination

                  49
                            66
                  49
                            65
                  49
                       55




1143 species
Testing discrimination
rbcL GenBank sequences           Species %   Genus %   Family %   Failed %
Sequences correctly identified      57         93        99          1
(n = 1346)

Taxa correctly identified           58         94        100         0
(n = 592)

matK GenBank sequences           Species %   Genus %   Family %   Failed %
Sequences correctly identified      67         95        99          1
(n = 1380)

Taxa correctly identified           72         96        99          1
(n = 533)

 GenBank sequences queried against Barcode Wales database using BLASTn
rbcL discrimination



Scale         n       Mean
                      discrimination %
                      (SD)
10x10 km       253           72 (4)
2x2 km         1116          90 (9)



Species lists generated for each square,
discrimination assessed by presence of a
barcode gap
matK discrimination



Scale         n      Mean
                     discrimination %
                     (SD)
10x10 km       253          81 (3)
2x2 km        1116          93 (7)




Species lists generated for each square,
discrimination assessed by presence of a
barcode gap
rbcL & matK discrimination



Scale         n       Mean
                      discrimination %
                      (SD)
10x10 km       253           82 (3)
2x2 km         1116          93 (6)



Species lists generated for each square,
discrimination assessed by presence of a
barcode gap
DNA barcoding and drug discovery
• Collect wildflower honey from throughout UK
• Test antibacterial properties of honey against MRSA
  and Clostridium difficile
• DNA barcode honey
• Identify plant derived
  phytochemicals
• New drug discovery
  routes
Drug discovery – prelim results
• 150 honey samples
• Agar diffusion assay,
  plates with MRSA,
  activity present in
  some samples
• Successfully amplified
  rbcL from honey
Next:
• Identify cause of antimicrobial activity
• Next gen sequencing of honey samples
DNA barcoding and phylogenetics




                                        Good match
ML tree for rbcL,                        with APGIII.
RAxML (GTR+CAT)                  56% of species form
1000 bootstraps, on the         monophyletic groups
CIPRES supercomputer      44% with bootstrap support
cluster                                        >70%
DNA barcoding and phylogenetic
           ecology




                 ML tree for rbcL, threatened species
                 traced using Mesquite
DNA barcoding and art-science
DNA barcoding and community
        engagement
DNA barcoding and community
        engagement
Thank you!
• Funding from Welsh
  Government, National
  Botanic Garden of Wales,
  National Museum Wales,
  Countryside Council for
  Wales, Spirent
  Communications plc
• Sponsorship from the
  people of Wales
• www.gardenofwales.org.
  uk
• Science at the Garden of
  Wales on facebook

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Natasha de Vere - Plants Plenary

  • 1. Barcode Wales / Codbar Cymru: A complete DNA Barcode Dataset of a Nation’s Native Flowering Plants: Creation, Applications and Public Engagement Natasha de Vere, Tim Rich, Col Ford, Sarah Trinder, Charlie Long, Chris Moore, Danielle Satterthwaite, Helena Davies, Joe Moughan, Addie Griffith, Laura Jones, Joel Allainguillaume, Mike Wilkinson, Tatiana Tatarinova, Hannah Garbett, Les Baillie, Jenny Hawkins
  • 2. Barcode Wales: Cod Bar Cymru • DNA barcode the native flowering plants and conifers of Wales • Develop applications that utilise this research platform
  • 3. Sample collection • 1143 native flowering plants and conifers • 455 genera, 95 families, 34 orders • 4272 individuals sampled, 3637 herbarium, 635 freshly collected • All specimens verified by taxonomic expert • Herbarium vouchers and full collection details for all samples
  • 4. DNA extraction, amplification and sequencing • Qiagen kits, modified for herbarium material • rbcL: 5 primer combinations • matK 29 primer combinations • Macrogen Europe for Sanger sequencing
  • 5. Sequence editing and multiple alignment • Sequencher 4.9. contig assembly and manual editing • rbcL alignment: MUSCLE • matK alignment: Transalign and Geneious Pro 5.4.4 • Sequences BOLD and Genbank
  • 7. Analysis • Interspecific and intraspecific divergence • Species discrimination: BLASTn Barcode Gap: min. interspecific p-distance > • Discrimination at than max. intraspecific different spatial (CBOL Plant Working scales, using species Group 2009) distribution records • Test discrimination using • Scripts written in GenBank data Python
  • 8. Recoverability rbcL matK rbcL & matK No. of spp. sequenced 1117 (98%) 1031 (90%) 1025 (90%) No. of spp. with > 1 individual 1041 (91%) 814 (71%) 808 (71%) sequenced Mean no. of individuals per 3 2 2 spp. Mode of individuals per spp. 3 3 3 Range of individuals per spp. 1-9 1-8 1-8 Total no. of individuals 3304 2419 2349 sequenced In total 5,723 barcode sequences obtained for the 1143 species
  • 9. Fresh vs Herbarium matK: Fresh = 5 primer combinations Herbarium = 29 primer combinations
  • 10. Effect of herbarium specimen age Spearman Rank Correlation: rbcL rho = 0.993*** matK rho = 0.986***
  • 11. Intra and interspecific divergence rbcL matK No. of spp. showing intraspecific variation 66/1041 136/814 (6.3%) (16.7%) Mean intraspecific divergence: all individuals (SD) 0.0001 0.0003 (0.0005) (0.0009) Mean intraspecific divergence: theta(SD) 0.0001 0.0004 (0.0006) (0.0011) Mean coalescent depth (max. intraspecific) (SD) 0.0001 0.0004 (0.0006) (0.0012) Mean interspecific divergence (SD) 0.0063 0.0174 (0.0069) (0.0231) Using uncorrected p-distances
  • 12. Relative discrimination 69 99 75 100 68 98 74 99 56 96 57 95 808 species
  • 13. Recoverability and discrimination 49 66 49 65 49 55 1143 species
  • 14. Testing discrimination rbcL GenBank sequences Species % Genus % Family % Failed % Sequences correctly identified 57 93 99 1 (n = 1346) Taxa correctly identified 58 94 100 0 (n = 592) matK GenBank sequences Species % Genus % Family % Failed % Sequences correctly identified 67 95 99 1 (n = 1380) Taxa correctly identified 72 96 99 1 (n = 533) GenBank sequences queried against Barcode Wales database using BLASTn
  • 15. rbcL discrimination Scale n Mean discrimination % (SD) 10x10 km 253 72 (4) 2x2 km 1116 90 (9) Species lists generated for each square, discrimination assessed by presence of a barcode gap
  • 16. matK discrimination Scale n Mean discrimination % (SD) 10x10 km 253 81 (3) 2x2 km 1116 93 (7) Species lists generated for each square, discrimination assessed by presence of a barcode gap
  • 17. rbcL & matK discrimination Scale n Mean discrimination % (SD) 10x10 km 253 82 (3) 2x2 km 1116 93 (6) Species lists generated for each square, discrimination assessed by presence of a barcode gap
  • 18. DNA barcoding and drug discovery • Collect wildflower honey from throughout UK • Test antibacterial properties of honey against MRSA and Clostridium difficile • DNA barcode honey • Identify plant derived phytochemicals • New drug discovery routes
  • 19. Drug discovery – prelim results • 150 honey samples • Agar diffusion assay, plates with MRSA, activity present in some samples • Successfully amplified rbcL from honey Next: • Identify cause of antimicrobial activity • Next gen sequencing of honey samples
  • 20. DNA barcoding and phylogenetics Good match ML tree for rbcL, with APGIII. RAxML (GTR+CAT) 56% of species form 1000 bootstraps, on the monophyletic groups CIPRES supercomputer 44% with bootstrap support cluster >70%
  • 21. DNA barcoding and phylogenetic ecology ML tree for rbcL, threatened species traced using Mesquite
  • 22. DNA barcoding and art-science
  • 23. DNA barcoding and community engagement
  • 24. DNA barcoding and community engagement
  • 25. Thank you! • Funding from Welsh Government, National Botanic Garden of Wales, National Museum Wales, Countryside Council for Wales, Spirent Communications plc • Sponsorship from the people of Wales • www.gardenofwales.org. uk • Science at the Garden of Wales on facebook