Evidence map›Paper›PMID 38857228›Full record

ArticlePloS one2024

Uncovering the genetic diversity and adaptability of Butuo Black Sheep through whole-genome re-sequencing.

Zengwen Huang, Jing Wang, Dongming Qi, Xiaoyan Li, Jinkang Wang, Jingwen Zhou, Yan Ruan, Youse Laer, Zhangjia Baqian, Chaoyun Yang

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

10 authors.

Zengwen HuangXichang University, Xichang, China.
Jing WangXichang University, Xichang, China.
Dongming QiXichang University, Xichang, China.
Xiaoyan LiXichang University, Xichang, China.
Jinkang WangButuo County Agriculture and Rural Affairs Bureau, Xichang, China.
Jingwen ZhouButuo County Forestry and Grassland Bureau, Xichang, China.
Yan RuanButuo County Agriculture and Rural Affairs Bureau, Xichang, China.
Youse LaerButuo County Agriculture and Rural Affairs Bureau, Xichang, China.
Zhangjia BaqianButuo County Forestry and Grassland Bureau, Xichang, China.
Chaoyun YangXichang University, Xichang, China.ORCID 0000-0001-6190-7958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Butuo Black Sheep (BBS) is well-known for its ability to thrive at high altitudes, resist diseases, and produce premium-quality meat. Nonetheless, there is insufficient data regarding its genetic diversity and population-specific Single nucleotide polymorphisms (SNPs). This paper centers on the genetic diversity of (BBS). The investigation conducted a whole-genome resequencing of 33 BBS individuals to recognize distinct SNPs exclusive to BBS. The inquiry utilized bioinformatic analysis to identify and explain SNPs and pinpoint crucial mutation sites. The findings reveal that reproductive-related genes (GHR, FSHR, PGR, BMPR1B, FST, ESR1), lipid-related genes (PPARGC1A, STAT6, DGAT1, ACACA, LPL), and protein-related genes (CSN2, LALBA, CSN1S1, CSN1S2) were identified as hub genes. Functional enrichment analysis showed that genes associated with reproduction, immunity, inflammation, hypoxia, PI3K-Akt, and AMPK signaling pathways were present. This research suggests that the unique ability of BBS to adapt to low oxygen levels in the plateau environment may be owing to mutations in a variety of genes. This study provides valuable insights into the genetic makeup of BBS and its potential implications for breeding and conservation efforts. The genes and SPNs identified in this study could serve as molecular markers for BBS.

Indexed as

Polymorphism, Single NucleotideWhole Genome SequencingAdaptation, PhysiologicalAnimalsGenetic VariationSheep

Identifiers

PMID38857228
PMCPMC11164371

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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.