Evidence map›Paper›PMID 38336605›Full record

ArticleBMC genomics2024

Identification of genomic characteristics and selective signals in Guizhou black goat.

Lingle Chang, Yundi Zheng, Sheng Li, Xi Niu, Shihui Huang, Qingmeng Long, Xueqin Ran, Jiafu Wang

Abstract 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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

8 authors.

Lingle ChangInstitute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Sciences and College of Animal Science, Guizhou University, Guiyang, 550025, Guizhou, China.
Yundi ZhengInstitute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Sciences and College of Animal Science, Guizhou University, Guiyang, 550025, Guizhou, China.
Sheng LiInstitute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Sciences and College of Animal Science, Guizhou University, Guiyang, 550025, Guizhou, China.
Xi NiuInstitute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Sciences and College of Animal Science, Guizhou University, Guiyang, 550025, Guizhou, China.
Shihui HuangInstitute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Sciences and College of Animal Science, Guizhou University, Guiyang, 550025, Guizhou, China.
Qingmeng LongGuizhou Testing Center for Livestock and Poultry Germplasm, Guiyang, 550018, Guizhou, China.
Xueqin RanInstitute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Sciences and College of Animal Science, Guizhou University, Guiyang, 550025, Guizhou, China. xqran@gzu.edu.cn.
Jiafu WangInstitute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Sciences and College of Animal Science, Guizhou University, Guiyang, 550025, Guizhou, China. jfwang@gzu.edu.cn.

Funding

Guizhou Agriculture Research Program QKHNZ-2007-3008Guizhou Science and Technology Corporation Platform Talents Fund QKHPTRC[2019]5615National Natural Science Foundation of China 30560104Science and Technology Program of Guizhou Province QKHRC[2016]4012Science and Technology Program of Guizhou Province,China QKHZC[2019]2279
6 · The paper itself

Abstract

backgroundGuizhou black goat is one of the indigenous black goat breeds in the southwest region of Guizhou, China, which is an ordinary goat for mutton production. They are characterized by moderate body size, black coat, favorite meat quality with tender meat and lower odor, and tolerance for cold and crude feed. However, little is known about the genetic characteristics or variations underlying their important economic traits.

resultsHere, we resequenced the whole genome of Guizhou black goat from 30 unrelated individuals breeding in the five core farms. A total of 9,835,610 SNPs were detected, and 2,178,818 SNPs were identified specifically in this breed. The population structure analysis revealed that Guizhou black goat shared a common ancestry with Shaanbei white cashmere goat (0.146), Yunshang black goat (0.103), Iran indigenous goat (0.054), and Moroccan goat (0.002). However, Guizhou black goat showed relatively higher genetic diversity and a lower level of linkage disequilibrium than the other seven goat breeds by the analysis of the nucleotide diversity, linkage disequilibrium decay, and runs of homozygosity. Based on F

conclusionOur results indicated that Guizhou black goat had a high level of genomic diversity and a low level of linkage disequilibrium in the whole genome. Selection signatures were detected in the genomic regions that were mainly related to growth and development, meat quality, reproduction, disease resistance, and humidity-cold resistance in Guizhou black goat. These results would provide a basis for further resource protection and breeding improvement of this very local breed.

Indexed as

GoatsSelection, GeneticAdaptor Proteins, Signal TransducingAnimalsGenomeGenomicsHumansPhenotypePolymorphism, Single NucleotideAdaptor Proteins, Signal TransducingSOSTDC1 protein, humanGenetic diversityGuizhou black goatSelection signatureWhole-genome sequencing

Identifiers

PMID38336605
PMCPMC10854126

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.