Evidence map›Paper›PMID 41034993›Full record

ArticleBMC biology2025

Conservation genomics of two endangered buntings reveal genetic diversity before and after severe population declines.

Shangyu Wang, Dezhi Zhang, Xiaolu Jiao, Lei Wu, Qiang-Hui Zhu, Hongrui Lv, Haitao Wang, Zheng Han, Shi Li, Peng He and 5 more

Abstract read
In one paragraph

Article in BMC biology, 2025. 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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0cells of the map it votes in
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

15 authors.

Shangyu Wang *State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Dezhi Zhang *State Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Xiaolu JiaoHebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, 050024, China.
Lei WuState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Qiang-Hui ZhuState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Hongrui LvState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Haitao WangSchool of Life Sciences, Jilin Engineering Laboratory for Avian Ecology and Conservation Genetics, Northeast Normal University, Changchun, 130024, China.
Zheng HanSchool of Life Sciences, Jilin Engineering Laboratory for Avian Ecology and Conservation Genetics, Northeast Normal University, Changchun, 130024, China.
Shi LiCollege of Animal Science and Technology, Jilin Agricultural University, Changchun, 130118, China.
Peng HeState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Jun ChenState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Shaohong FengCenter for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China.
Urban OlssonDepartment of Biology and Environmental Science, University of Gothenburg, Box 463, 405 30, Gothenburg, Sweden.
Per AlströmState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
Fumin LeiState Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China. leifm@ioz.ac.cn.

Funding

Institute of Zoology, Chinese Academy of Sciences 2023IOZ0104National Key Research and Development Program of China 2022YFC2601601National Natural Science Foundation of China 32130013National Natural Science Foundation of China 32270466Swedish National Science Foundation 2019-04486Youth Innovation Promotion Association of the Chinese Academy of Sciences 2023093
6 · The paper itself

Abstract

backgroundMuseomics utilizes historical genetic data from museum specimens to inform threatened species conservation. The Yellow-breasted Bunting (Emberiza aureola) and the Jankowski's Bunting (E. jankowskii), categorized as Critically Endangered or Endangered, respectively, have experienced population declines since the 1970s-1980s. Comparing genetic diversity changes before and after declines is crucial for refining conservation strategies.

resultsWe de novo assembled genomes for both species and resequenced 29 E. aureola (16 historical pre-decline specimens from the 1930s to the 1950s) and 18 E. jankowskii (4 historical pre-decline specimens from the 1950s to the 1960s), with 45 individuals from six least-concern Emberiza species for comparison. Genetic diversity remained stable in both endangered species from the pre-decline to post-decline periods, with their overall genetic diversity levels being comparable to those of their least-concern congeners. While historically, both had large effective population sizes, E. jankowskii showed a gradual decline over 1000 generations, whereas E. aureola remained stable. Both modern populations of E. aureola and E. jankowskii exhibited a higher proportion of long runs of homozygosity (ROH) compared to their historical counterparts, indicating an increased impact of inbreeding following population declines.

conclusionsDespite severe population declines, both species retained high genetic diversity but experienced increased inbreeding. E. jankowskii faces ongoing effective population size decline. These insights guide targeted conservation strategies, highlighting the value of museomics in understanding demographic and genetic histories.

Indexed as

Conservation of Natural ResourcesEndangered SpeciesGenetic VariationPasseriformesAnimalsGenomeGenomicsPopulation DynamicsDemographyEmberizaGenetic diversityInbreeding

Identifiers

PMID41034993
PMCPMC12487185

What Socratic holds

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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 Socratic graph.