Evidence map›Paper›PMID 27716022›Full record

ArticleGenetics, selection, evolution : GSE2016

Identification of selective sweeps reveals divergent selection between Chinese Holstein and Simmental cattle populations.

Minhui Chen, Dunfei Pan, Hongyan Ren, Jinluan Fu, Junya Li, Guosheng Su, Aiguo Wang, Li Jiang, Qin Zhang, Jian-Feng Liu

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 51 citations in OpenAlex.

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  8. Selection signatures for heat tolerance in Brazilian horse breeds.Molecular genetics and genomics : MGG · 2022
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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

10 authors at 4 institutions in 2 countries.

Minhui ChenDepartment of Animal Genetics, Breeding and Reproduction, China Agricultural University, Beijing, 100193, China.
Dunfei PanDepartment of Animal Genetics, Breeding and Reproduction, China Agricultural University, Beijing, 100193, China.
Hongyan RenNational Natural Science Foundation of China, Beijing, 100085, China.
Jinluan FuDepartment of Animal Genetics, Breeding and Reproduction, China Agricultural University, Beijing, 100193, China.
Junya LiInstitute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China.
Guosheng SuCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, AU-Foulum, 8830, Tjele, Denmark.
Aiguo WangDepartment of Animal Genetics, Breeding and Reproduction, China Agricultural University, Beijing, 100193, China.
Li JiangDepartment of Animal Genetics, Breeding and Reproduction, China Agricultural University, Beijing, 100193, China.
Qin ZhangDepartment of Animal Genetics, Breeding and Reproduction, China Agricultural University, Beijing, 100193, China.
Jian-Feng LiuDepartment of Animal Genetics, Breeding and Reproduction, China Agricultural University, Beijing, 100193, China. liujf@cau.edu.cn.
China Agricultural University · CNAarhus University · DKChinese Academy of Agricultural Sciences · CNNational Natural Science Foundation of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe identification of signals left by recent positive selection provides a feasible approach for targeting genomic variants that underlie complex traits and fitness. A better understanding of the selection mechanisms that occurred during the evolution of species can also be gained. In this study, we simultaneously detected the genome-wide footprints of recent positive selection that occurred within and between Chinese Holstein and Simmental populations, which have been subjected to artificial selection for distinct purposes. We conducted analyses using various complementary approaches, including LRH, XP-EHH and F

resultsWe successfully constructed profiles of selective signals in both cattle populations. To further annotate these regions, we identified a set of novel functional genes related to growth, reproduction, immune response and milk production. There were no overlapping candidate windows between the two breeds. Finally, we investigated the distribution of SNPs that had low F

conclusionsThe selection signatures identified in these two populations demonstrated positive selection pressure on a set of important genes with potential functions that are involved in many biological processes. We also demonstrated that in the bovine genome, exons were under strong purifying selection. Our findings provide insight into the mechanisms of artificial selection and will facilitate follow-up functional studies of potential candidate genes that are related to various economically important traits in cattle.

Indexed as

Selection, GeneticAllelesAnimalsCattleGene FrequencyHaplotypesPolymorphism, Single NucleotideSelective BreedingSequence Analysis, DNA

Identifiers

PMID27716022
PMCPMC5054554
OpenAlexW2528755701

What OpenQuestion holds

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LicenceCC BY
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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.