Evidence map›Paper›PMID 39497743›Full record

ArticleFrontiers in veterinary science2024

Screening of functional genes for hypoxia adaptation in Tibetan pigs by combined genome resequencing and transcriptome analysis.

Bin Ni, Lin Tang, Li Zhu, Xinpeng Li, Kang Zhang, Hongyu Nie, Zeyu Ye, Yiwen Wang, Lijun Zhu, Xiaoyan Kong and 1 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

11 authors.

Bin NiSchool of Life Science and Engineering, Foshan University, Foshan, China.
Lin TangFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China.
Li ZhuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China.
Xinpeng LiFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China.
Kang ZhangSchool of Life Science and Engineering, Foshan University, Foshan, China.
Hongyu NieSchool of Life Science and Engineering, Foshan University, Foshan, China.
Zeyu YeSchool of Life Science and Engineering, Foshan University, Foshan, China.
Yiwen WangSchool of Life Science and Engineering, Foshan University, Foshan, China.
Lijun ZhuSchool of Life Science and Engineering, Foshan University, Foshan, China.
Xiaoyan KongFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China.
Xiao GouSchool of Life Science and Engineering, Foshan University, Foshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high-altitude, low-oxygen environment of the Qinghai-Tibet Plateau poses significant challenges for the introduction of superior livestock breeds. However, local plateau species have adapted to thrive and reproduce under these harsh conditions. Understanding the molecular mechanisms behind plateau animals' adaptation to low-oxygen environments is essential for breeding livestock suited to high-altitude regions. Tibetan pigs, which have undergone long-term natural selection and artificial breeding, have developed the ability to survive and reproduce in hypoxic environments. In this study, we conducted whole-genome resequencing of 30 Tibetan pigs from high-altitude regions and 30 Diannan small-ear pigs from low-altitude areas, to identify candidate genes that support Tibetan pigs' adaptation to hypoxic conditions through selection signal analysis. Additionally, we performed transcriptome sequencing on five tissues (heart, liver, spleen, lung, and bone marrow) from both Tibetan pigs and Diannan small-ear pigs to identify genes with significant differential expression between the two breeds. We then integrated the genomic and transcriptomic data by examining the expression of candidate genes identified in selection signal analysis across different tissues. The selection signal analysis identified 10 genes-

Indexed as

functional genehypoxia adaptionresequencingTibetan pigtranscriptome

Identifiers

PMID39497743
PMCPMC11532106

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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.