Evidence map›Paper›PMID 30744549›Full record

ArticleBMC genomics2019

Genome changes due to artificial selection in U.S. Holstein cattle.

Li Ma, Tad S Sonstegard, John B Cole, Curtis P VanTassell, George R Wiggans, Brian A Crooker, Cheng Tan, Dzianis Prakapenka, George E Liu, Yang Da

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 58 citations in OpenAlex.

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  20. Emerging issues in genomic selection.Journal of animal science · 2021
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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

10 authors at 5 institutions in 2 countries.

Li MaDepartment of Animal and Avian Sciences, University of Maryland, College Park, MD, USA.
Tad S SonstegardRecombinetics, Saint Paul, MN, USA.
John B ColeAnimal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA.
Curtis P VanTassellAnimal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA.
George R WiggansAnimal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA.
Brian A CrookerDepartment of Animal Science, University of Minnesota, Saint Paul, MN, USA.
Cheng TanCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, People's Republic of China.
Dzianis PrakapenkaDepartment of Animal Science, University of Minnesota, Saint Paul, MN, USA.
George E LiuAnimal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA.
Yang DaDepartment of Animal Science, University of Minnesota, Saint Paul, MN, USA. yda@umn.edu.ORCID http://orcid.org/0000-0003-0119-7928
Agricultural Research Service · USUniversity of Minnesota · USRecombinetics (United States) · USSouth China Agricultural University · CNUniversity of Maryland, College Park · US

Funding

Agricultural Experiment Station, University of Minnesota MIN-16-043Agricultural Research Service 8042-31000-001-00-DAgricultural Research Service 8042-31000-002-00-DNational Institute of Food and Agriculture 2008-35205-18846National Institute of Food and Agriculture 2011-67015-30333National Institute of Food and Agriculture 2016-67015-24886National Institute of Food and Agriculture 2018-67015-28128
6 · The paper itself

Abstract

backgroundThe availability of a unique unselected Holstein line since 1964 provided a direct comparison between selected and unselected Holstein genomes whereas large Holstein samples provided unprecedented statistical power for identifying high-confidence SNP effects. Utilizing these unique resources, we aimed to identify genome changes affected by selection since 1964.

resultsDirect comparison of genome-wide SNP markers between a Holstein line unselected since 1964 and contemporary Holsteins showed that the 40 years of artificial selection since 1964 resulted in genome landscape changes. Among the regions affected by selection, the regions containing 198 genes with fertility functions had a larger negative correlation than that of all SNPs between the SNP effects on milk yield and daughter pregnancy rate. These results supported the hypothesis that hitchhiking of genetic selection for milk production by negative effects of fertility genes contributed to the unintended declines in fertility since 1964. The genome regions subjected to selection also contained 67 immunity genes, the bovine MHC region of Chr23 with significantly decreased heterozygosity in contemporary Holsteins, and large gene clusters including T-cell receptor and immunoglobulin genes.

conclusionsThis study for the first time provided direct evidence that genetic selection for milk production affected fertility and immunity genes and that the hitchhiking of genetic selection for milk production by negative fertility effects contributed to the fertility declines since 1964, and identified a large number of candidate fertility and immunity genes affected by selection. The results provided novel understanding about genome changes due to artificial selection and their impact on fertility and immunity genes and could facilitate developing genetic methods to reverse the declines in fertility and immunity in Holstein cattle.

Indexed as

BreedingGenomicsAnimalsCattleDiacylglycerol O-AcyltransferaseFertilityGene FrequencyHaplotypesHumansImmunityMilkPolymorphism, Single NucleotideTime FactorsDiacylglycerol O-AcyltransferaseFertilityGenetic selectionGenome landscapeImmunityMilk production

Identifiers

PMID30744549
PMCPMC6371544
OpenAlexW2943562635

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LicenceCC BY
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Registered trials

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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.