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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Genetic and nongenetic profiling of milk pregnancy-associated glycoproteins in Holstein cattle

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Author(s):
Santos, D. J. A. [1, 2] ; Cole, J. B. [3] ; Null, D. J. [3] ; Byrem, T. M. [4] ; Ma, L. [1]
Total Authors: 5
Affiliation:
[1] Univ Maryland, Dept Anim & Avian Sci, College Pk, MD 20742 - USA
[2] Univ Estadual Paulista, Dept Zootecinia, BR-14884900 Jaboticabal - Brazil
[3] ARS, Henry A Wallace Beltsville Agr Res Ctr, Anim Genom & Improvement Lab, USDA, Beltsville, MD 20705 - USA
[4] Antel BioSyst Inc, Lansing, MI 48910 - USA
Total Affiliations: 4
Document type: Journal article
Source: JOURNAL OF DAIRY SCIENCE; v. 101, n. 11, p. 9987-10000, NOV 2018.
Web of Science Citations: 0
Abstract

Pregnancy-associated glycoproteins (PAG) are secreted by the trophoblast and are detectable in maternal circulation around the time of attachment of the fetal placenta, as well as in blood and milk throughout gestation. The understanding of the genetic mechanisms controlling PAG levels can confer advantages for livestock breeding programs given the precocity and the ease of obtaining this phenotype from routine pregnancy diagnosis. The aim of this study was to characterize PAG levels by estimating genetic parameters and correlations with other dairy traits, and to identify genomic regions and candidate genes associated with PAG levels in milk. The PAG data consisted of pregnancy diagnoses using commercial assays from 2012 to 2017, and genotype data consisted of 54,123 SNP markers for 2,352 individuals (embryos and dams). The model included contemporary group (herd, year, and season) and embryo age as fixed effects, and random embryonic (direct) and maternal (indirect) genetic effects. Using genomic data, the estimated heritability for direct and maternal genetic effects (+/- standard deviations) were 0.23 +/- 0.05 and 0.11 +/- 0.05, respectively. The genetic correlation between these effects was almost zero (0.001 +/- 0.06). A preliminary analysis revealed low correlations between milk PAG levels and other dairy traits. The genome-wide association analysis was performed using 2 approaches: single-marker and single-step using all markers. Four genomic regions with direct genetic effects were detected on Bos taurus autosome (BTA) 6, BTA7, BTA19, and BTA29 of the embryonic genome. The BTA29 locus was within the bovine PAG gene cluster, suggesting a cis-regulatory quantitative trait locus on the PAG expression. However, other associations, without an obvious link to PAG expression, could be related to the transportation of PAG and their concentration in milk. Only 1 region from the maternal genome, on BTA4, had a significant indirect effect, where WNT2 is a candidate gene related to placenta vascularization and gestation health. Collectively, our results suggest a moderate genetic control of milk PAG levels from both maternal and fetal genomes, but larger studies are needed to fully evaluate the usefulness of milk PAG in the genetic evaluation of fetal growth and cow fertility. (AU)

FAPESP's process: 17/00462-5 - Genomic homology between cattle and buffaloes and comparison of different machine learning methods for genotype imputation in buffalo genome
Grantee:Daniel Jordan de Abreu Santos
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 15/12396-1 - IMPUTATION OF MARKER GENOTYPES IN BUFFALO GENOME AND ITS IMPACT ON GENOMIC EVALUATION OF MILK YIELD AND CONTENT
Grantee:Daniel Jordan de Abreu Santos
Support Opportunities: Scholarships in Brazil - Post-Doctoral