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Related Concept Videos

Comparing Copy Number Variations and SNPs02:26

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Sequencing of mRNA from Whole Blood using Nanopore Sequencing
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The CNV map construction and ROH analysis of Pinan cattle.

Xingya Song1, Zijing Zhang2, Shengyan Xing1

  • 1College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling, Shaanxi, 712100, People's Republic of China.

BMC Genomics
|May 14, 2025
PubMed
Summary

Pinan cattle exhibit excellent growth traits due to crossbreeding. Whole genome resequencing revealed unique genetic variations and a low inbreeding risk, identifying key genes for muscle and reproductive development.

Keywords:
Copy number variationGenetic structureInbreeding degreePinan cattleRuns of homozygositySeletion analysis

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Area of Science:

  • Genomics
  • Animal Breeding
  • Population Genetics

Background:

  • Pinan cattle, a crossbreed of Nanyang and Piedmontese cattle, show superior growth performance.
  • Understanding their genetic makeup is crucial for further breed improvement.

Purpose of the Study:

  • To construct a comprehensive copy number variation map for Pinan cattle.
  • To analyze population genetic structure and inbreeding levels.
  • To identify candidate genes associated with desirable traits.

Main Methods:

  • Whole genome resequencing of 132 Pinan cattle.
  • Copy Number Variation (CNV) and CNV region (CNVR) analysis.
  • Population genetic structure analysis using CNVRs.
  • Runs of Homozygosity (ROH) analysis for inbreeding.
  • Selection analysis (VST, ROH islands, iHS) for candidate genes.

Main Results:

  • Deletion-type CNVs were prevalent, with few overlapping exonic regions.
  • Pinan cattle are genetically distinct and closer to Nanyang cattle.
  • Inbreeding levels in Pinan cattle are lower than in European beef cattle.
  • Candidate genes for muscle, reproduction, embryonic development, and immunity were identified.

Conclusions:

  • CNV profiling provides a clear distinction for Pinan cattle genetics.
  • Low inbreeding suggests a low risk, supporting breed sustainability.
  • Identified genes offer a basis for understanding and enhancing Pinan cattle's excellent traits.