Evidence map›Paper›PMID 38689225›Full record

ArticleBMC genomics2024

Artificial selection footprints in indigenous and commercial chicken genomes.

Siwen Wu, Tengfei Dou, Kun Wang, Sisi Yuan, Shixiong Yan, Zhiqiang Xu, Yong Liu, Zonghui Jian, Jingying Zhao, Rouhan Zhao and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

18 authors at 3 institutions in 2 countries.

Siwen Wu *Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Tengfei Dou *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Kun Wang *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Sisi Yuan *Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Shixiong Yan *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Zhiqiang XuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Yong LiuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Zonghui JianFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Jingying ZhaoFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Rouhan ZhaoFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Hao WuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Dahai GuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Lixian LiuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Qihua LiFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
Dong-Dong WuState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Changrong GeFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China. gcrzal@126.com.
Zhengchang SuDepartment of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC, 28223, USA. zcsu@uncc.edu.
Junjing JiaFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China. junjingli2009@hotmail.com.
Yunnan Agricultural University · CNUniversity of North Carolina at Charlotte · USChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough many studies have been done to reveal artificial selection signatures in commercial and indigenous chickens, a limited number of genes have been linked to specific traits. To identify more trait-related artificial selection signatures and genes, we re-sequenced a total of 85 individuals of five indigenous chicken breeds with distinct traits from Yunnan Province, China.

resultsWe found 30 million non-redundant single nucleotide variants and small indels (< 50 bp) in the indigenous chickens, of which 10 million were not seen in 60 broilers, 56 layers and 35 red jungle fowls (RJFs) that we compared with. The variants in each breed are enriched in non-coding regions, while those in coding regions are largely tolerant, suggesting that most variants might affect cis-regulatory sequences. Based on 27 million bi-allelic single nucleotide polymorphisms identified in the chickens, we found numerous selective sweeps and affected genes in each indigenous chicken breed and substantially larger numbers of selective sweeps and affected genes in the broilers and layers than previously reported using a rigorous statistical model. Consistent with the locations of the variants, the vast majority (~ 98.3%) of the identified selective sweeps overlap known quantitative trait loci (QTLs). Meanwhile, 74.2% known QTLs overlap our identified selective sweeps. We confirmed most of previously identified trait-related genes and identified many novel ones, some of which might be related to body size and high egg production traits. Using RT-qPCR, we validated differential expression of eight genes (GHR, GHRHR, IGF2BP1, OVALX, ELF2, MGARP, NOCT, SLC25A15) that might be related to body size and high egg production traits in relevant tissues of relevant breeds.

conclusionWe identify 30 million single nucleotide variants and small indels in the five indigenous chicken breeds, 10 million of which are novel. We predict substantially more selective sweeps and affected genes than previously reported in both indigenous and commercial breeds. These variants and affected genes are good candidates for further experimental investigations of genotype-phenotype relationships and practical applications in chicken breeding programs.

Indexed as

ChickensPolymorphism, Single NucleotideQuantitative Trait LociSelection, GeneticAnimalsBreedingGenomeGenomicsINDEL MutationPhenotypeChickenDomesticationEvolutionPermutationSelective sweepSNPs

Identifiers

PMID38689225
PMCPMC11061962
OpenAlexW4396515062

What Socratic 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 Socratic graph.