Evidence map›Paper›PMID 41632845›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Pleistocene demographic histories dominate contemporary genomic diversity in a continental radiation of Himalayan-Hengduan songbirds.

Yadan Liu, Chih-Ming Hung, Yunrui He, Fei Wu, Dao Yan, Gang Song, Feng Dong

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yadan LiuCollege of Forestry, Southwest Forestry University, National Plateau Wetlands Research Center, Kunming 650224, China.ORCID 0009-0009-2671-8524
Chih-Ming HungBiodiversity Research Center, Academia Sinica, Taipei 115, China.ORCID 0000-0002-4785-6370
Yunrui HeKey Laboratory of Genetic Evolution and Animal Models (Chinese Academy of Sciences) and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China.ORCID 0009-0003-0609-2217
Fei WuKey Laboratory of Genetic Evolution and Animal Models (Chinese Academy of Sciences) and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China.
Dao YanKey Laboratory of Genetic Evolution and Animal Models (Chinese Academy of Sciences) and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China.
Gang SongKey Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0002-0190-8315
Feng DongKey Laboratory of Genetic Evolution and Animal Models (Chinese Academy of Sciences) and Yunnan Key Laboratory of Biodiversity and Ecological Conservation of Gaoligong Mountain, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China.ORCID 0000-0003-0774-9690

Funding

the National Key R&D Program of China 2022YFC2602500
6 · The paper itself

Abstract

Genetic diversity, the fundamental substrate for evolutionary potential, is declining globally at unprecedented rates. Yet the mechanisms governing its distribution across species remain poorly understood, with competing hypotheses emphasizing either historical demography or contemporary ecological constraints. This debate limits our capacity to predict species' responses to environmental change. Here, based on systematic sampling and a unified analytical pipeline, we de novo assembled genomes for 120 songbird species breeding in the Himalayas-Hengduan Mountains (HHMs) and conducted population genomic analysis to examine the drivers of their genomic diversity. We observed a 6.5-fold variation in genome-wide heterogeneity and a 16.4-fold variation nucleotide diversity across species. Notably, these measures of genomic diversity showed no correlation with recent population dynamics, current population size, or other contemporary factors-such as elevational distribution, or life-history traits. Instead, historical demography strongly predicted genetic diversity, with ancestral population size during the late Pleistocene emerging as the sole correlate: Larger ancestral sizes consistently coincided with higher diversity. These findings underscore the critical influence of historical demography on contemporary genetic diversity in natural populations-an insight essential for designing effective conservation strategies.

Indexed as

Genetic VariationGenomeSongbirdsAnimalsHimalayasPhylogenyPopulation DensityPopulation Dynamicsgenomic diversityhistorical demographylife-history traits

Identifiers

PMID41632845
PMCPMC12890861

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.