Data

Data from: High gene flow across large geographic scales reduces extinction risk for a highly specialised coral feeding butterflyfish

James Cook University
Lawton, Rebecca ; Messmer, Vanessa ; Pratchett, Morgan ; Bay, Line
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://researchdata.jcu.edu.au//published/4fbcc1d8629b54ef2479344f5a532905&rft.title=Data from: High gene flow across large geographic scales reduces extinction risk for a highly specialised coral feeding butterflyfish&rft.identifier=https://researchdata.jcu.edu.au//published/4fbcc1d8629b54ef2479344f5a532905&rft.publisher=James Cook University&rft.description=Data consists of 2 files:(1) C lunulatus microsatellite data - Allele frequences for 12 microsatellite loci. Arelquin format data file. Genomic DNA extracted from fin clip tissue samples.(2) C. trifascialis microsatellite data - Allele frequences for 11 microsatellite loci. Arelquin format data file. Genomic DNA extracted from fin clip tissue samples.Abstract [Related Publication]: The vulnerability of ecologically specialised species to environmental fluctuations has been well documented. However, population genetic structure can influence vulnerability to environmental change and recent studies have indicated that specialised species may have lower genetic diversity and greater population structuring compared to their generalist counterparts. To examine whether there were differences in population genetic structure between a dietary specialist (Chaetodon trifascialis) and a dietary generalist (Chaetodon lunulatus) we compared the demographic history and levels of gene flow of two related coral-feeding butterflyfishes. Using allele frequencies of ≥11 microsatellite loci and >350 bases of mitochondrial control region sequence our analyses of C. trifascialis and C. lunulatus from five locations across the Pacific Ocean revealed contrasting demographic histories and levels of genetic structure. Heterozygosity excess tests, neutrality tests and mismatch distributions were all highly significant in the dietary specialist C. trifascialis (all P < 0.01), suggesting genetic bottlenecks have occurred in all locations. In contrast, we found little evidence of genetic bottlenecks for the dietary generalist C. lunulatus. High gene flow and low genetic structuring was detected among locations for C. trifascialis (amova: RST = 0.0027, P = 0.371; ΦST = 0.068, P < 0.0001). Contrary to our expectations, a greater level of genetic structuring between locations was detected for C. lunulatus (amova: RST = 0.0277, ΦST = 0.166, both P < 0.0001). These results suggest that dietary specialisation may affect demographic history through reductions in population size following resource declines, without affecting population structure through reductions in gene flow in the same way that habitat specialisation appears to. Although C. trifascialis is highly vulnerable to coral loss, the high gene flow detected here suggests populations will be able to recover from local declines through the migration of individuals.The full methodology is available in the publication shown in the Related Publications link below. &rft.creator=Lawton, Rebecca &rft.creator=Messmer, Vanessa &rft.creator=Pratchett, Morgan &rft.creator=Bay, Line &rft.date=2011&rft.relation=http://dx.doi.org/10.1111/j.1365-294X.2011.05207.x&rft.coverage=151.92791476833,-23.452463635064 151.93050316667,-23.447298485333 151.93122506703,-23.441652107443 151.93000980478,-23.436077182858 151.92697633824,-23.431119466259 151.92242160427,-23.427264347131 151.91679145196,-23.424889300687 151.91063699984,-23.424226896238 151.90456068856,-23.425341999914 151.89915730982,-23.428125415433 151.89495578396,-23.432304589095 151.89236738563,-23.43747032496 151.89164548526,-23.443116881545 151.89286074752,-23.448691509131 151.89589421405,-23.453648566479 151.90044894802,-23.457502915916 151.90607910034,-23.459877376225 151.91223355246,-23.460539601979 151.91830986373,-23.459424795304 151.92371324248,-23.456642039035 151.92791476833,-23.452463635064&rft.coverage=145.46658053982,-14.6413108039 145.45579073071,-14.639176230374 145.44484725766,-14.640372110938 145.43482134405,-14.644781332695 145.42669439617,-14.651972115347 145.4212619363,-14.661240343563 145.41905573146,-14.671678578971 145.42029174034,-14.682264962809 145.4248489738,-14.691963277655 145.43228133806,-14.699824360037 145.44186130153,-14.705078944297 145.45265111064,-14.707212875034 145.46359458369,-14.706017359716 145.4736204973,-14.70160937173 145.48174744518,-14.694420220114 145.48717990505,-14.685153397201 145.48938610989,-14.674715804582 145.48815010101,-14.664129055498 145.48359286755,-14.65442950688 145.47616050329,-14.646566793462 145.46658053982,-14.6413108039&rft.coverage=150.30109707137,-5.0562893978549 150.19970156411,-5.0861520217281 150.11253302895,-5.1457591988756 150.09206944193,-5.2511496577025 150.07869762615,-5.3449067003087 150.11432949325,-5.4337299921823 150.11684365105,-5.5100568490075 150.18767556762,-5.5312088470723 150.26878208119,-5.5351743780436 150.33272899231,-5.4965408555176 150.39173427841,-5.4501352083323 150.44094472707,-5.4066183632124 150.54184617239,-5.4318037424074 150.58702899769,-5.4877712587126 150.65258587206,-5.3913017625282 150.64441982528,-5.3052071119429 150.65014541356,-5.2452652996615 150.59029982512,-5.1584557804683 150.50644672952,-5.09430451795 150.40679425199,-5.0590986982418 150.30109707137,-5.0562893978549&rft.coverage=166.4495954031,-22.209036878101 166.41951123976,-22.216267251839 166.39331291498,-22.231749088853 166.37356490334,-22.253964516722 166.36220027779,-22.280736332528 166.36033148708,-22.309442115408 166.36814146146,-22.337271619397 166.38486570622,-22.361501985972 166.40886713576,-22.379763786464 166.43779632293,-22.39027203798 166.46882147732,-22.39199993117 166.49890564066,-22.384778647388 166.52510396544,-22.369313761341 166.54485197708,-22.347116670764 166.55621660262,-22.320357574348 166.55808539333,-22.291654034574 166.55027541895,-22.263815440613 166.5335511742,-22.239568123056 166.50954974466,-22.22128798528 166.48062055749,-22.210767014391 166.4495954031,-22.209036878101&rft.coverage=-149.80934890354,-17.357085486045 -149.86952512722,-17.356217491451 -149.92703713788,-17.373139993241 -149.97625525921,-17.406191949447 -150.01236167858,-17.452130382776 -150.03182204807,-17.5064507171 -150.03273145115,-17.563830689732 -150.0150008691,-17.618653256585 -149.98036589483,-17.665556559901 -149.93221684094,-17.699957056371 -149.87526687229,-17.718495247735 -149.81509064861,-17.719361509631 -149.75757863795,-17.702471294524 -149.70836051662,-17.669473312072 -149.67225409726,-17.623589923503 -149.65279372776,-17.569304679654 -149.65188432468,-17.511926439734 -149.66961490673,-17.457071585986 -149.704249881,-17.41011430877 -149.7523989349,-17.375658767664 -149.80934890354,-17.357085486045&rft.coverage=Tissue samples were collected from up to 50 individuals of each species at five locations across the Pacific: Lizard Island, North Great Barrier Reef; Heron Island, South Great Barrier Reef; Kimbe Bay, Papua New Guinea; Noumea, New Caledonia; and Moorea, French Polynesia &rft_rights=&rft_rights=CC 0: Public Domain Dedication 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0&rft_subject=specialisation&rft_subject=population connectivity&rft_subject=coral reefs&rft_subject=vulnerability&rft_subject=bottleneck&rft_subject=Chaetodon lunulatus&rft_subject=Chaetodon trifascialis&rft_subject=Chaetodontidae&rft_subject=ARC Centre of Excellence for Coral Reef Studies&rft.type=dataset&rft.language=English Access the data

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CC 0: Public Domain Dedication 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0

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Full description

Data consists of 2 files:

(1) C lunulatus microsatellite data - Allele frequences for 12 microsatellite loci. Arelquin format data file. Genomic DNA extracted from fin clip tissue samples.

(2) C. trifascialis microsatellite data - Allele frequences for 11 microsatellite loci. Arelquin format data file. Genomic DNA extracted from fin clip tissue samples.

Abstract [Related Publication]: The vulnerability of ecologically specialised species to environmental fluctuations has been well documented. However, population genetic structure can influence vulnerability to environmental change and recent studies have indicated that specialised species may have lower genetic diversity and greater population structuring compared to their generalist counterparts. To examine whether there were differences in population genetic structure between a dietary specialist (Chaetodon trifascialis) and a dietary generalist (Chaetodon lunulatus) we compared the demographic history and levels of gene flow of two related coral-feeding butterflyfishes. Using allele frequencies of ≥11 microsatellite loci and >350 bases of mitochondrial control region sequence our analyses of C. trifascialis and C. lunulatus from five locations across the Pacific Ocean revealed contrasting demographic histories and levels of genetic structure. Heterozygosity excess tests, neutrality tests and mismatch distributions were all highly significant in the dietary specialist C. trifascialis (all P < 0.01), suggesting genetic bottlenecks have occurred in all locations. In contrast, we found little evidence of genetic bottlenecks for the dietary generalist C. lunulatus. High gene flow and low genetic structuring was detected among locations for C. trifascialis (amova: RST = 0.0027, P = 0.371; ΦST = 0.068, P < 0.0001). Contrary to our expectations, a greater level of genetic structuring between locations was detected for C. lunulatus (amova: RST = 0.0277, ΦST = 0.166, both P < 0.0001). These results suggest that dietary specialisation may affect demographic history through reductions in population size following resource declines, without affecting population structure through reductions in gene flow in the same way that habitat specialisation appears to. Although C. trifascialis is highly vulnerable to coral loss, the high gene flow detected here suggests populations will be able to recover from local declines through the migration of individuals.

The full methodology is available in the publication shown in the Related Publications link below.

 

Notes

This dataset is available from Dryad in  Arlequin format (.arp.bak) and can be opened with a text editor. Dryad data package: Lawton RJ, Messmer V, Pratchett MS, Bay LK (2011) Data from: High gene flow across large geographic scales reduces extinction risk for a highly specialised coral feeding butterflyfish. Dryad Digital Repository. https://doi.org/10.5061/dryad.4m80r

Created: 2011-06-21

This dataset is part of a larger collection

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text: Tissue samples were collected from up to 50 individuals of each species at five locations across the Pacific: Lizard Island, North Great Barrier Reef; Heron Island, South Great Barrier Reef; Kimbe Bay, Papua New Guinea; Noumea, New Caledonia; and Moorea, French Polynesia

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  • Local : researchdata.jcu.edu.au//published/4fbcc1d8629b54ef2479344f5a532905
  • Local : 5e3b40567e81d087adcef5710028fcaf