Evidence map›Paper›PMID 39021409›Full record

ArticleFrontiers in veterinary science2024

Development and application of a 1K functional liquid chip for lactation performance in Bactrian camels.

Lili Guo, Lema Dao, Bin Liu, Jingyu Wang, Zaixia Liu, Fengying Ma, Bielige Morigen, Chencheng Chang, Yinbatu Bai, Yaqiang Guo and 3 more

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Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Lili GuoCollege of Life Science, Inner Mongolia Agricultural University, Hohhot, China.
Lema DaoBactrian Camel Institute of Alsha, Bayanhot, China.
Bin LiuInner Mongolia Bionew Technology Co., Ltd., Hohhot, China.
Jingyu WangBactrian Camel Institute of Alsha, Bayanhot, China.
Zaixia LiuInner Mongolia Engineering Research Center of Genomic Big Data for Agriculture, Inner Mongolia Agricultural University, Hohhot, China.
Fengying MaInner Mongolia Engineering Research Center of Genomic Big Data for Agriculture, Inner Mongolia Agricultural University, Hohhot, China.
Bielige MorigenAnimal Disease Prevention and Control Center of Alsha, Bayanhot, China.
Chencheng ChangInner Mongolia Engineering Research Center of Genomic Big Data for Agriculture, Inner Mongolia Agricultural University, Hohhot, China.
Yinbatu BaiInner Mongolia Engineering Research Center of Genomic Big Data for Agriculture, Inner Mongolia Agricultural University, Hohhot, China.
Yaqiang GuoInner Mongolia Engineering Research Center of Genomic Big Data for Agriculture, Inner Mongolia Agricultural University, Hohhot, China.
Caixia ShiInner Mongolia Engineering Research Center of Genomic Big Data for Agriculture, Inner Mongolia Agricultural University, Hohhot, China.
Junwei CaoCollege of Life Science, Inner Mongolia Agricultural University, Hohhot, China.
Wenguang ZhangCollege of Life Science, Inner Mongolia Agricultural University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The advancement of high-throughput, high-quality, flexible, and cost-effective genotyping platforms is crucial for the progress of dairy breeding in Bactrian camels. This study focuses on developing and evaluating a 1K functional liquid single nucleotide polymorphism (SNP) array specifically designed for milk performance in Bactrian camels. Methods: We utilized RNA sequencing data from 125 lactating camels to identify and select 1,002 loci associated with milk production traits for inclusion in the SNP array. The array's performance was then assessed using 24 randomly selected camels. Additionally, the array was employed to genotype 398 individuals, which allowed for population validation to assess the polymorphism of SNP sites. Results: The SNP array demonstrated high overall SNP call rates (> 99%) and a remarkable 100% consistency in genotyping. Population validation results indicate that camels from six breeding areas in Northwest China share a similar genetic background regarding lactation functionality. Discussion: This study highlights the potential of the SNP array to accelerate the breeding process of lactating Bactrian camels and provides a robust technical foundation for improving lactation performance.

Indexed as

Bactrian camellactation performanceliquid chipRNA-seqSNP markers

Identifiers

PMID39021409
PMCPMC11253134

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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.