Evidence map›Paper›PMID 42274873›Full record

ArticleApplied biochemistry and biotechnology2026

Integrative Genomic and Transcriptomic Insights into High-Altitude Adaptation in Changthangi Goats.

Ram Parsad, Sonika Ahlawat, Reena Arora, Meena Bagiyal, Pooja Chhabra, Ritika Gera, M A Mir, M K Singh

Abstract read
PubMed Publisher
In one paragraph

Article in Applied biochemistry and biotechnology, 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

8 authors.

Ram ParsadICAR-National Bureau of Animal Genetic Resources, Karnal, India.
Sonika AhlawatICAR-National Bureau of Animal Genetic Resources, Karnal, India. sonika.ahlawat@gmail.com.ORCID http://orcid.org/0000-0002-4302-2969
Reena AroraICAR-National Bureau of Animal Genetic Resources, Karnal, India.
Meena BagiyalICAR-National Bureau of Animal Genetic Resources, Karnal, India.
Pooja ChhabraICAR-National Bureau of Animal Genetic Resources, Karnal, India.
Ritika GeraICAR-National Bureau of Animal Genetic Resources, Karnal, India.
M A MirMountain Research Centre for Sheep and Goat, SKUAST-Kashmir, Shuhama (Aulestang), India.
M K SinghICAR-Central Institute for Research on Goats, Makhdoom, Mathura, India.

Funding

Indian Council of Agricultural Research CRP Genomics
6 · The paper itself

Abstract

The Changthangi goat, native to the high-altitude Ladakh Plateau in northern India, thrives in oxygen-deficient environments above 4,000 m. This study investigated the genetic basis of high-altitude adaptation in Changthangi goats by integrating comparative genomics and transcriptomics, using the tropical lowland Jamunapari goat as a comparative model. Whole-genome sequence data from 15 individuals per breed were analyzed using complementary selection sweep metrics, including nucleotide diversity, Tajima's D, iHS, CLR, XP-EHH, and FST. These analyses identified candidate genomic regions under strong selective pressure, encompassing genes involved in hypoxia sensing (HIF-1α, HIF-2α/EPAS1, EGLN1), angiogenesis (VEGFA, AGGF1, ZEB1), cardiovascular regulation (PRKCB, ESR1, RYR2), mitochondrial and energy metabolism (ACADSB, ACSS3, ACSL1), cellular stress tolerance (BCL2, ATM), and thermogenesis (UCP1, FGF21). Unlike previous caprine studies that primarily infer hypoxia adaptation from genomic signals alone, our study integrates cardiac transcriptomics to demonstrate that genomic selection in Changthangi goats is accompanied by coordinated transcriptional remodeling across interconnected physiological systems in a physiologically relevant tissue. Comparative cardiac transcriptomic profiling revealed concordant expression divergence in genes associated with oxygen transport, vascular remodeling, mitochondrial function, substrate utilization, redox balance, and genome maintenance. This integrative multi-omics framework provides a mechanistic view of caprine high-altitude adaptation and highlights the value of combining genomic selection analyses with tissue-specific transcriptional profiling to resolve complex adaptive traits.

Indexed as

Adaptation, PhysiologicalAltitudeGenomicsGoatsTranscriptomeAnimalsGene Expression ProfilingChangthangi goatComparative genomicsHigh-altitudeHypoxia-inducible factorTranscriptomics

Identifiers

PMID42274873

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.