Evidence map›Paper›PMID 40720656›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

The power of coalescent methods for inferring recent and ancient gene flow in endangered Bactrian camels.

Tianqi Zhu, Zhen Wang, Ziheng Yang

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. The power of coalescent methods for inferring recent and ancient gene flow in endangered Bactrian camels.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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

3 authors.

Tianqi ZhuState Key Laboratory of Mathematical Science, Chinese Academy of Sciences, Beijing 100190, China.ORCID 0009-0007-0360-487X
Zhen WangShanghai Institute of Nutrition and Health, Key Laboratory of Computational Biology, Chinese Academy of Sciences, Shanghai 200031, China.ORCID 0000-0001-8108-627X
Ziheng YangState Key Laboratory of Mathematical Science, Chinese Academy of Sciences, Beijing 100190, China.ORCID 0000-0003-3351-7981

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic sequence data harbor valuable information concerning the history of species divergence and interspecific gene flow and may offer important insights into conservation of endangered species. However, extracting such information from genomic data requires powerful statistical inference methods. A recent analysis of genomic sequence data found little evidence for gene flow from domestic Bactrian camels into the endangered wild Bactrian species. Nevertheless, the methods used to infer gene flow are based on data summaries and lack the power and precision to represent the complex phylogenetic history of the species with gene flow. Here, we apply Bayesian methods to genomic sequence data to test for both recent and ancient gene flow among the three species in the genus

Indexed as

CamelusEndangered SpeciesGene FlowAnimalsBayes TheoremDNA, MitochondrialEvolution, MolecularModels, GeneticPhylogenyDNA, MitochondrialBPPcamelsgene flowgenomicsintrogression

Identifiers

PMID40720656
PMCPMC12337305

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Registered trials

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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.