Evidence map›Paper›PMID 33631009›Full record

ArticleThe Journal of heredity2021

Pervasive Genomic Signatures of Local Adaptation to Altitude Across Highland Specialist Andean Hummingbird Populations.

Marisa C W Lim, Ke Bi, Christopher C Witt, Catherine H Graham, Liliana M Dávalos

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in The Journal of heredity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Marisa C W LimDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, NY.ORCID 0000-0003-2097-8818
Ke BiMuseum of Vertebrate Zoology, University of California, Berkeley, CA.
Christopher C WittMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM.
Catherine H GrahamDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, NY.
Liliana M DávalosDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, NY.ORCID 0000-0002-4327-7697
Stony Brook University · USQB3 · USSwiss Federal Institute for Forest, Snow and Landscape Research · CHUniversity of New Mexico · US

Funding

Pacific Biosciences PacBio RS Single Molecule Real Time SequencerS10OD018174 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI ROKHSAR, DANIEL SOLEYMAN · 2014 to 2014
$600k
NIH HHS S10 OD018174
6 · The paper itself

Abstract

Populations along steep environmental gradients are subject to differentiating selection that can result in local adaptation, despite countervailing gene flow, and genetic drift. In montane systems, where species are often restricted to narrow ranges of elevation, it is unclear whether the selection is strong enough to influence functional differentiation of subpopulations differing by a few hundred meters in elevation. We used targeted capture of 12 501 exons from across the genome, including 271 genes previously implicated in altitude adaptation, to test for adaptation to local elevations for 2 highland hummingbird species, Coeligena violifer (n = 62) and Colibri coruscans (n = 101). For each species, we described population genetic structure across the complex geography of the Peruvian Andes and, while accounting for this structure, we tested whether elevational allele frequency clines in single nucleotide polymorphisms (SNPs) showed evidence for local adaptation to elevation. Although the 2 species exhibited contrasting population genetic structures, we found signatures of clinal genetic variation with shifts in elevation in both. The genes with SNP-elevation associations included candidate genes previously discovered for high-elevation adaptation as well as others not previously identified, with cellular functions related to hypoxia response, energy metabolism, and immune function, among others. Despite the homogenizing effects of gene flow and genetic drift, natural selection on parts of the genome evidently optimizes elevation-specific cellular function even within elevation range-restricted montane populations. Consequently, our results suggest local adaptation occurring in narrow elevation bands in tropical mountains, such as the Andes, may effectively make them "taller" biogeographic barriers.

Indexed as

AcclimatizationAltitudeAnimalsBirdsGene FlowGenomicsPeruPolymorphism, Single Nucleotideclinal variationexon capturegene flowhigh-elevation

Identifiers

PMID33631009
PMCPMC8427717
OpenAlexW3131005581

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.