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 N-e during the Saalian glacial cycle (400-150 thousand years ago) followed by a rapid N-e 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.

Population structure, genomic diversity and demographic history of Komodo dragons inferred from whole-genome sequencing / Iannucci, Alessio; Benazzo, Andrea; Natali, Chiara; Arida, Evy Ayu; Zein, Moch Samsul Arifin; Jessop, Tim S; Bertorelle, Giorgio; Ciofi, Claudio. - In: MOLECULAR ECOLOGY. - ISSN 0962-1083. - STAMPA. - 30:(2021), pp. 6309-6324. [10.1111/mec.16121]

Population structure, genomic diversity and demographic history of Komodo dragons inferred from whole-genome sequencing

Iannucci, Alessio;Natali, Chiara;Ciofi, Claudio
2021

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 N-e during the Saalian glacial cycle (400-150 thousand years ago) followed by a rapid N-e 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.
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6309
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Iannucci, Alessio; Benazzo, Andrea; Natali, Chiara; Arida, Evy Ayu; Zein, Moch Samsul Arifin; Jessop, Tim S; Bertorelle, Giorgio; Ciofi, Claudio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/1282001
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