Evidence map›Paper›PMID 35739846›Full record

ArticleAnimals : an open access journal from MDPI2022

Hereditary Basis of Coat Color and Excellent Feed Conversion Rate of Red Angus Cattle by Next-Generation Sequencing Data.

Yongmeng He, Yongfu Huang, Shizhi Wang, Lupei Zhang, Huijiang Gao, Yongju Zhao, Guangxin E

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. Zoological research · 2025
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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

7 authors at 2 institutions in 1 country.

Yongmeng HeCollege of Animal Science and Technology, Southwest University, Chongqing 400716, China.
Yongfu HuangCollege of Animal Science and Technology, Southwest University, Chongqing 400716, China.
Shizhi WangCollege of Animal Science and Technology, Southwest University, Chongqing 400716, China.
Lupei ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.ORCID 0000-0001-7701-2331
Huijiang GaoInstitute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
Yongju ZhaoCollege of Animal Science and Technology, Southwest University, Chongqing 400716, China.ORCID 0000-0001-9256-8856
Guangxin ECollege of Animal Science and Technology, Southwest University, Chongqing 400716, China.
Southwest University · CNChinese Academy of Agricultural Sciences · CN

Funding

Chongqing Natural Science Foundation cstc2021jcyj-msxmX0013Chongqing Research Program of Basic Research and Frontier cstc2018jcyjAX0153National Natural Science Foundation of China No. 31172195Technology and Fundamental Research Funds for the Central Universities XDJK2018B014
6 · The paper itself

Abstract

Angus cattle have made remarkable contributions to the livestock industry worldwide as a commercial meat-type breed. Some evidence supported that Angus cattle with different coat colors have different feed-to-meat ratios, and the genetic basis of their coat color is inconclusive. Here, genome-wide association study was performed to investigate the genetic divergence of black and red Angus cattle with 63 public genome sequencing data. General linear model analysis was used to identify genomic regions with potential candidate variant/genes that contribute to coat color and feed conversion rate. Results showed that six single nucleotide polymorphisms (SNPs) and two insertion−deletions, which were annotated in five genes (ZCCHC14, ANKRD11, FANCA, MC1R, and LOC532875 [AFG3-like protein 1]), considerably diverged between black and red Angus cattle. The strongest associated loci, namely, missense mutation CHIR18_14705671 (c.296T > C) and frameshift mutation CHIR18_12999497 (c.310G>-), were located in MC1R. Three consecutive strongly associated SNPs were also identified and located in FANCA, which is widely involved in the Fanconi anemia pathway. Several SNPs of highly associated SNPs was notably enriched in ZCCHC14 and ANKRD11, which are related to myofiber growth and muscle development. This study provides a basis for the use of potential genetic markers to be used in future breeding programs to improve cattle selection in terms of coat color and meat phenotype. This study is also helpful to understand the hereditary basis of different coat colors and meat phenotypes. However, the putative candidate genes or markers identified in this study require further investigation to confirm their phenotypic causality and potential effective genetic relationships.

Indexed as

Angus cattlefeed conversion rategenome-wide association studypigmentation

Identifiers

PMID35739846
PMCPMC9219544
OpenAlexW4281637997

What OpenQuestion 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 OpenQuestion graph.