Abstract
Population and conservation genetics studies have greatly benefited from the development of new techniques and bioinformatic tools associated with next-generation sequencing. Analysis of extensive data sets from whole-genome sequencing of even a few individuals allows the detection of patterns of fine-scale population structure and detailed reconstruction of demographic dynamics through time. In this study, we investigated the population structure, genomic diversity and demographic history of the Komodo dragon (Varanus komodoensis), the world's largest lizard, by sequencing the whole genomes of 24 individuals from the five main Indonesian islands comprising the entire range of the species. Three main genomic groups were observed. The populations of the Island of Komodo and the northern coast of Flores, in particular, were identified as two distinct conservation units. Degrees of genomic divergence among island populations were interpreted as a result of changes in sea level affecting connectivity across islands. Demographic inference suggested that Komodo dragons probably experienced a relatively steep population decline over the last million years, reaching a relatively stable Ne during the Saalian glacial cycle (400–150 thousand years ago) followed by a rapid Ne decrease. Genomic diversity of Komodo dragons was similar to that found in endangered or already extinct reptile species. Overall, this study provides an example of how whole-genome analysis of a few individuals per population can help define population structure and intraspecific demographic dynamics. This is particularly important when applying population genomics data to conservation of rare or elusive endangered species.
Original language | English |
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Pages (from-to) | 6309-6324 |
Number of pages | 16 |
Journal | Molecular Ecology |
Volume | 30 |
Issue number | 23 |
DOIs | |
Publication status | Published - Dec 2021 |
Externally published | Yes |
Bibliographical note
Funding Information:We are very grateful to Komodo National Park, the Indonesian Department of Forestry and the Indonesian Institute of Science for permission to carry out this work. Biological samples were collected in KNP and Flores and exported thanks to CITES export permit No. 08419/VI/SATS-LN/1998. We also thank Muhammad Azmi for help in drafting the maps of the study area. A.I. was supported by an Italian Ministry of Education, University and Research grant (PRIN 2017, ERC panel LS8). Open Access Funding provided by Università degli Studi di Firenze within the CRUI-CARE Agreement.
Funding Information:
We are very grateful to Komodo National Park, the Indonesian Department of Forestry and the Indonesian Institute of Science for permission to carry out this work. Biological samples were collected in KNP and Flores and exported thanks to CITES export permit No. 08419/VI/SATS‐LN/1998. We also thank Muhammad Azmi for help in drafting the maps of the study area. A.I. was supported by an Italian Ministry of Education, University and Research grant (PRIN 2017, ERC panel LS8). Open Access Funding provided by Università degli Studi di Firenze within the CRUI‐CARE Agreement.
Publisher Copyright:
© 2021 The Authors. Molecular Ecology published by John Wiley & Sons Ltd.
ASJC Scopus Subject Areas
- Ecology, Evolution, Behavior and Systematics
- Genetics
PubMed: MeSH publication types
- Journal Article
- Research Support, Non-U.S. Gov't