Evidence map›Paper›PMID 34367665›Full record

ArticleEvolution letters2021

Application of a novel haplotype-based scan for local adaptation to study high-altitude adaptation in rhesus macaques.

Zachary A Szpiech, Taylor E Novak, Nick P Bailey, Laurie S Stevison

Open access · goldAbstract read
In one paragraph

Article in Evolution letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
9.4field-weighted citation impact, top 2% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

56 citing papers in PubMed, 84 citations in OpenAlex.

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  5. Evaluating inbreeding and assessing the risk of outbreeding depression in genetic rescue using whole-genome sequence data.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  6. Selection scans and downstream analysis with selscan.Human population genetics and genomics · 2026
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  11. Evolutionary histories of functional mutations during the domestication and spread ofProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Selection scans and downstream analysis with selscan.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Global impact of micronutrients in modern human evolution.American journal of human genetics · 2025
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  20. Genomic analyses identify 15 risk loci and revealProceedings 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

4 authors at 2 institutions in 1 country.

Zachary A SzpiechDepartment of Biology Pennsylvania State University University Park Pennsylvania 16801.ORCID https://orcid.org/0000-0001-6372-8224
Taylor E NovakDepartment of Biological Sciences Auburn University Auburn Ala 36842 USA.ORCID https://orcid.org/0000-0002-7080-4595
Nick P BaileyDepartment of Biological Sciences Auburn University Auburn Ala 36842 USA.ORCID https://orcid.org/0000-0001-8525-3063
Laurie S StevisonDepartment of Biological Sciences Auburn University Auburn Ala 36842 USA.ORCID https://orcid.org/0000-0001-7900-5266
Auburn University · USPennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When natural populations split and migrate to different environments, they may experience different selection pressures that can lead to local adaptation. To capture the genomic patterns of a local selective sweep, we develop XP-nSL, a genomic scan for local adaptation that compares haplotype patterns between two populations. We show that XP-nSL has power to detect ongoing and recently completed hard and soft sweeps, and we then apply this statistic to search for evidence of adaptation to high altitude in rhesus macaques. We analyze the whole genomes of 23 wild rhesus macaques captured at high altitude (mean altitude > 4000 m above sea level) to 22 wild rhesus macaques captured at low altitude (mean altitude < 500 m above sea level) and find evidence of local adaptation in the high-altitude population at or near 303 known genes and several unannotated regions. We find the strongest signal for adaptation at EGLN1, a classic target for convergent evolution in several species living in low oxygen environments. Furthermore, many of the 303 genes are involved in processes related to hypoxia, regulation of ROS, DNA damage repair, synaptic signaling, and metabolism. These results suggest that, beyond adapting via a beneficial mutation in one single gene, adaptation to high altitude in rhesus macaques is polygenic and spread across numerous important biological systems.

Indexed as

AdaptationEGLN1genome‐scanhigh‐altitudemacaqueselection

Identifiers

PMID34367665
PMCPMC8327953
OpenAlexW3165413735

What OpenQuestion holds

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LicenceCC BY
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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.