Evidence map›Paper›PMID 38136963›Full record

ArticleGenes2023

Population Structure and Genetic Diversity of Yunling Cattle Determined by Whole-Genome Resequencing.

Jian Chen, Lilian Zhang, Lutao Gao, Zaichao Wei, Dong Dang, Linnan Yang

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. 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
2.5field-weighted citation impact, top 10% 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, 8 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

6 authors at 1 institution in 1 country.

Jian ChenState Key Laboratory of Agricultural Big Data, Academy of Big Data, Yunnan Agricultural University, Kunming 655508, China.ORCID 0009-0009-4545-5125
Lilian ZhangState Key Laboratory of Agricultural Big Data, Academy of Big Data, Yunnan Agricultural University, Kunming 655508, China.
Lutao GaoState Key Laboratory of Agricultural Big Data, Academy of Big Data, Yunnan Agricultural University, Kunming 655508, China.
Zaichao WeiState Key Laboratory of Agricultural Big Data, Academy of Big Data, Yunnan Agricultural University, Kunming 655508, China.
Dong DangState Key Laboratory of Agricultural Big Data, Academy of Big Data, Yunnan Agricultural University, Kunming 655508, China.
Linnan YangState Key Laboratory of Agricultural Big Data, Academy of Big Data, Yunnan Agricultural University, Kunming 655508, China.
Yunnan Agricultural University · CN

Funding

the Research and Demonstration on Intelligent Management of High Quality Beef Cattle Industry in Yunnan Plateau (Major Special Project of Yunnan Province, No. 202102AE090009) No. 202102AE090009
6 · The paper itself

Abstract

The Yunling cattle breed, a three-breed crossbreed, which comprises 50% Brahman cattle, 25% Murray Grey cattle and 25% Yunnan Yellow cattle, has several advantageous traits, including rapid growth, superior meat quality, ability to improve tolerance in hot and humid climates, tick resistance and rough feed. It can be rightfully stated that Yunling cattle serve as vital genetic repositories of the local Yunnan cattle. Gaining insights into the genetic information of Yunling cattle plays a significant role in the formulation of sound breeding strategies for this breed, safeguarding genetic resources and mitigating the risks associated with inbreeding depression. In this study, we constructed the Yunling cattle standard reference genome and aligned the whole genomes of 129 Yunling cattle individuals to the constructed reference genome to estimate the current genetic status of Yunling cattle in Yunnan Province, China. The average alignment rate and the average percentage of properly paired are both 99.72%. The average nucleotide diversity in Yunling cattle is 0.000166, which indicates a lower level of diversity. Population structure analysis classified Yunling cattle into two subgroups. Inbreeding analysis revealed that inbreeding events did occur in the Yunling cattle, which may have contributed to the low genetic diversity observed. This study presents a comprehensive assessment of the genetic structure and diversity among the Yunling cattle and provides a theoretical foundation for the preservation and exploitation of these precious germplasm resources.

Indexed as

Genetic VariationGenomeAnimalsCattleChinaHumansPhenotypeSequence Analysis, DNAgenetic diversitypopulation structurewhole-genome resequencingYunling cattle

Identifiers

PMID38136963
PMCPMC10742670
OpenAlexW4389036074

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.