2019
DOI: 10.1371/journal.pone.0219350
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Phylogeography of the dugong (Dugong dugon) based on historical samples identifies vulnerable Indian Ocean populations

Abstract: We investigated the phylogeography of the dugong (Dugong dugon) across its original range using museum material from 14 natural history museum and university collections. The mitochondrial DNA control region was successfully amplified from samples of bone or tooth powder from 162 individuals. These samples range from 1827 to 1996 and span the historical distribution range of the dugong. We were able to successfully amplify overlapping fragments of the D-loop region of the mitochondrial DNA (mtDNA) resulting in… Show more

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Cited by 17 publications
(33 citation statements)
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“… Global dugong alignment of 537 sequences (309 bp) consisting of Indian dugong sequences generated in this study ( n = 21) and sequences downloaded from GenBank ( n = 516) from previously published studies (Haile, 2008; Jayasankar et al, 2009; Bushell, 2013; Blair et al, 2014; Seddon et al, 2014; Plön et al, 2019). Only 88 sequences (out of 163) could be used from Plön et al (2019) due to the presence of a large number of gaps in the remaining sequences.…”
Section: Methodsmentioning
confidence: 99%
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“… Global dugong alignment of 537 sequences (309 bp) consisting of Indian dugong sequences generated in this study ( n = 21) and sequences downloaded from GenBank ( n = 516) from previously published studies (Haile, 2008; Jayasankar et al, 2009; Bushell, 2013; Blair et al, 2014; Seddon et al, 2014; Plön et al, 2019). Only 88 sequences (out of 163) could be used from Plön et al (2019) due to the presence of a large number of gaps in the remaining sequences.…”
Section: Methodsmentioning
confidence: 99%
“… Global dugong alignment of 537 sequences (309 bp) consisting of Indian dugong sequences generated in this study ( n = 21) and sequences downloaded from GenBank ( n = 516) from previously published studies (Haile, 2008; Jayasankar et al, 2009; Bushell, 2013; Blair et al, 2014; Seddon et al, 2014; Plön et al, 2019). Only 88 sequences (out of 163) could be used from Plön et al (2019) due to the presence of a large number of gaps in the remaining sequences. The sequences were arranged into global dugong distribution representing Pacific (Australia: 383; Papua New Guinea: 5; New Caledonia and Palau: 1 each); South‐east Asia (Thailand 56; Indonesia: 7; Japan: 2; Philippines and Malaysia/Sabah: 1 each); South Asia (India: 24; Sri Lanka: 4; Mauritius: 2); North‐west Indian Ocean (Djibouti: 8; Bahrain and Red Sea: 6 each; Egypt: 5; United Arab Emirates: 4; Sudan: 2); and South‐west Indian Ocean (Tanzania: 7; Madagascar: 5; East Africa, Mozambique, and Kenya: 2 each; Comoros: 1) regions. Indian dugong alignment consisting of 21 sequences (789 bp) of mtDNA control region sequences generated in this study.…”
Section: Methodsmentioning
confidence: 99%
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