Evidence map›Paper›PMID 40805037›Full record

ArticleAnimals : an open access journal from MDPI2025

Selection Signature Analysis of Whole-Genome Sequences to Identify Genome Differences Between Selected and Unselected Holstein Cattle.

Jiarui Cai, Liu Yang, Yahui Gao, George E Liu, Yang Da, Li Ma

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jiarui CaiDepartment of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA.ORCID 0009-0008-8094-631X
Liu YangDepartment of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA.
Yahui GaoDepartment of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA.
George E LiuAnimal Genomics and Improvement Laboratory, Beltsville Agricultural Research Center, United States Department of Agriculture, Beltsville, MD 20705, USA.ORCID 0000-0003-0192-6705
Yang DaDepartment of Animal Science, University of Minnesota, St Paul, MN 55108, USA.
Li MaDepartment of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0003-1038-1081

Funding

United States Department of Agriculture 2020-67015-31133, 2021-67015-33409, and 2024-67015-42295.
6 · The paper itself

Abstract

A unique line of Holstein cattle has been maintained without selection in Minnesota since 1964. After many generations, unselected cattle produce less milk, but have better reproductive performance and health traits when compared with contemporary cows. Comparisons between this line of unselected Holstein and those under selection provide useful insights that connect selection and complex traits in cattle. Utilizing these unique resources and sequence data, we sought to identify genome changes due to selection. We sequenced 30 unselected and 54 selected Holstein cattle and compared their sequence variants to identify selection signatures. After many years, the two populations showed completely different patterns in their genome-level population structures and linkage disequilibrium. By integrating signals from five different detection methods, we detected consensus selection signatures from at least four methods covering 14,533 SNPs and 155 protein-coding genes. An integrated analysis of selection signatures with gene annotation, pathways, and the cattle QTL database demonstrated that the genomic regions under selection are related to milk productivity, health, and reproductive efficiency. The polygenic nature of these complex traits is evident from hundreds of selection signatures and candidate genes, suggesting that long-term artificial selection has acted on the whole genome rather than a few major genes. In summary, our study identified candidate selection signatures underlying phenotypic differences between unselected and selected Holstein cows and revealed insights into the genetic basis of complex traits in cattle.

Indexed as

genome sequenceHolstein cattleselectionselection signature

Identifiers

PMID40805037
PMCPMC12345450

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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.