4.5 Article

Phylogeography of Solomon Islands blossom bats reflects oceanic divides and Pleistocene connections

期刊

JOURNAL OF BIOGEOGRAPHY
卷 50, 期 5, 页码 920-931

出版社

WILEY
DOI: 10.1111/jbi.14585

关键词

Chiroptera; dispersal; glacial maxima; land bridge; mammal; Pacific; Pteropodidae; speciation

向作者/读者索取更多资源

The study aims to investigate the influence of sea level changes and land bridges on the phylogeographic patterns of bats in the Solomon Islands and Papua New Guinea.
Aim Periodic lowering of sea levels and formation of land bridges can reshape phylogeographic patterns of insular biotas. Using archipelago-wide sampling, we aimed to test if phylogeography of an old-endemic bat lineage reflected Pleistocene land bridges.Location Solomon Islands and Papua New Guinea.Taxon Melonycteris and Nesonycteris bats (Pteropodidae).Methods We sequenced genome-wide RADseq data for 49 specimens from 15 islands. We assessed phylogenetic relationships using maximum likelihood in RAxML and quartet-based methods in SVDquartets, population structure using Structure, and admixture using maximum likelihood methods in TreeMix. We tested for genetic and geographic distance correlations using distance-based redundancy analyses (dbRDA), identifying best-fit models using stepwise model selection.Results Phylogenetic analyses identified five Nesonycteris clades corresponding to Greater Bukida, Guadalcanal, Makira, Malaita and New Georgia group. Makira samples were sister to remaining Nesonycteris. Structure identified four populations: New Ireland Melonycteris melanops; and Nesonycteris from Greater Bukida (including Guadalcanal); Malaita and Makira; and New Georgia group. Genetic backgrounds of Mono, Ngella and Guadalcanal separated from remaining Greater Bukida islands. Makira and Malaita separated into two populations. New Georgia group lacked structure, and genetic and geographic distances were not correlated. The best-fit geographic distance models for Nesonycteris and a Greater Bukida subset were least shore-to-shore distance; and Euclidean and least-cost distances respectively.Main Conclusions Influences of modern and Pleistocene island isolation and connectivity were evident in the overall Phylogeography of Nesonycteris. The lack of structure or geographic distance correlations within the New Georgia group indicated all islands were interconnected during the Last Glacial Maximum or contemporary oceanic divides are ineffective barriers. Conversely, genetic divergence across Greater Bukida islands reflected land-bridge constrained dispersal. A Makira clade sister to all Nesonycteris possibly indicates an origin on Makira. Alternately it reflects Makira's long-isolated geographic status, as similar results exist for a range of taxa.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据