Evidence map›Paper›PMID 42511055›Full record

ArticleAnimals : an open access journal from MDPI2026

Integrated SNP and SV Analyses Reveal Genetic Mechanisms Underlying High-Altitude Adaptation in Goats.

Wenze Li, Yixin Su, Can Liu, Xiaokun Lin, Shanhui Xue, Bouabid Badaoui, Xiaochun Yan, Qi Lv, Rui Su

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

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

9 authors.

Wenze LiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Yixin SuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Can LiuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Xiaokun LinCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Shanhui XueCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Bouabid BadaouiLaboratory of Biodiversity, Ecology and Genome, Department of Biology, Faculty of Sciences Rabat, Mohammed V University, Rabat 10106, Morocco.ORCID 0000-0001-6808-1765
Xiaochun YanCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Qi LvCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.ORCID 0000-0002-1513-8921
Rui SuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.ORCID 0000-0001-8386-7408

Funding

China Agriculture Research System of MOF and MARA No. CARS-39Inner Mongolia Agricultural University BR230304Inner Mongolia Education Department Special Research Project For First Class Disciplines YLXKZX-NND-007National Key Research and Development Program of China 2022YFE0113300Natural Science Foundation of Inner Mongolia Autonomous Region of China 2025JQ022Special A-class Team Project for Research and Innovation Team Construction of Inner Mongolia Agricultural University BR251201
6 · The paper itself

Abstract

High-altitude environments, characterized by hypoxia, intense ultraviolet radiation, and low temperatures, pose major challenges to livestock survival. In recent years, researchers have gradually uncovered adaptive mechanisms in livestock across different altitudes using whole-genome resequencing. Previous studies of goat altitude adaptation have been limited by small breed numbers and low sequencing depth, hindering comprehensive exploration of adaptive mechanisms across different altitudes. This study analyzed whole-genome resequencing data from 151 individuals across 17 goat breeds representing three distinct altitude gradients (high, middle, and low). Using both SNPs and structural variations (SVs), we characterized population relationships, gene flow, and the SV landscape, including QTL-SV associations and transposable element interactions. Selective sweep analyses using F

Indexed as

altitude adaptationgoatselection signaturestructural variation

Identifiers

PMID42511055
PMCPMC13406086

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.