ArticleBMC genomics2018
Transcriptome profiles in peripheral white blood cells at the time of artificial insemination discriminate beef heifers with different fertility potential.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 45 citations in OpenAlex.
- The embryo-derived protein PDI is highly conserved among placental mammals and alters the endometrial transcriptome and secretome in vitro across species with differing implantation strategies†.Biology of reproduction · 2026Article
- Measurement of pregnancy rate and foetal loss, and their associations with management practices on reproductive performance of smallholder beef cattle heifers in South Africa.Tropical animal health and production · 2026Article
- Network-based multi-omics approaches to identify molecular signatures associated with pregnancy status in beef heifers.Frontiers in genetics · 2026Article
- Multivariate Single-Step GWAS Reveals Pleiotropic Genomic Regions and Candidate Genes Associated with Male Scrotal Circumference and Female Fertility Traits in Retinta Beef Cattle.Veterinary sciences · 2025Article
- Applications of gene pair methods in clinical research: advancing precision medicine.Molecular biomedicine · 2025Review
- Transcriptome profiles of blastocysts originating from oocytes matured in follicular fluid from preovulatory follicles of greater or lesser maturity.BMC genomics · 2025Article
- Gene profiles of peripheral white blood cells as potential predictors of pregnancy in embryo-recipient heifers.PloS one · 2025Article
- Higher abundance of 2-dehydro-d-gluconate in the plasma of sub-fertile or infertile Bos taurus heifers.Journal of animal science · 2024Article
- Identification of quantitative trait loci and associated candidate genes for pregnancy success in Angus-Brahman crossbred heifers.Journal of animal science and biotechnology · 2023Article
- Harnessing Genomics and Transcriptomics Approaches to Improve Female Fertility in Beef Cattle-A Review.Animals : an open access journal from MDPI · 2023Review
- A multi-omics analysis identifies molecular features associated with fertility in heifers (Bos taurus).Scientific reports · 2023Article
- Transcriptomic dataset from peripheral white blood cells of beef heifers at weaning.Data in brief · 2023Article
- Robust identification of regulatory variants (eQTLs) using a differential expression framework developed for RNA-sequencing.Journal of animal science and biotechnology · 2023Article
- mRNA Signatures in Peripheral White Blood Cells Predict Reproductive Potential in Beef Heifers at Weaning.Genes · 2023Article
- Sexing of cattle embryos using RNA-sequencing data or polymerase chain reaction based on a complete sequence of cattle chromosome Y.Frontiers in genetics · 2023Article
- miRNA expression profiles of peripheral white blood cells from beef heifers with varying reproductive potential.Frontiers in genetics · 2023Article
- Proportion of Concentrate in the Diet of Early Lactation Dairy Cows Has Contrasting Effects on Circulating Leukocyte Global Transcriptomic Profiles, Health and Fertility According to Parity.International journal of molecular sciences · 2022Article
- Machine Learning-Based Co-Expression Network Analysis Unravels Potential Fertility-Related Genes in Beef Cows.Animals : an open access journal from MDPI · 2022Article
- Co-Expression Network and Integrative Analysis of Metabolome and Transcriptome Uncovers Biological Pathways for Fertility in Beef Heifers.Metabolites · 2022Article
- Delayed processing of blood samples impairs the accuracy of mRNA-based biomarkers.Scientific reports · 2022Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInfertility is a longstanding limitation in livestock production with important economic impact for the cattle industry. Female reproductive traits are polygenic and lowly heritable in nature, thus selection for fertility is challenging. Beef cattle operations leverage estrous synchronization in combination with artificial insemination (AI) to breed heifers and benefit from an early and uniform calving season. A couple of weeks following AI, heifers are exposed to bulls for an opportunity to become pregnant by natural breeding (NB), but they may also not become pregnant during this time period. Focusing on beef heifers, in their first breeding season, we hypothesized that: a- at the time of AI, the transcriptome of peripheral white blood cells (PWBC) differs between heifers that become pregnant to AI and heifers that become pregnant late in the breeding season by NB or do not become pregnant during the breeding season; and b- the ratio of transcript abundance between genes in PWBC classifies heifers according to pregnancy by AI, NB, or failure to become pregnant.
resultsWe generated RNA-sequencing data from 23 heifers from two locations (A: six AI-pregnant and five NB-pregnant; and B: six AI-pregnant and six non-pregnant). After filtering out lowly expressed genes, we quantified transcript abundance for 12,538 genes. The comparison of gene expression levels between AI-pregnant and NB-pregnant heifers yielded 18 differentially expressed genes (DEGs) (ADAM20, ALDH5A1, ANG, BOLA-DQB, DMBT1, FCER1A, GSTM3, KIR3DL1, LOC107131247, LOC618633, LYZ, MNS1, P2RY12, PPP1R1B, SIGLEC14, TPPP, TTLL1, UGT8, eFDR≤0.02). The comparison of gene expression levels between AI-pregnant and non-pregnant heifers yielded six DEGs (ALAS2, CNKSR3, LOC522763, SAXO2, TAC3, TFF2, eFDR≤0.05). We calculated the ratio of expression levels between all gene pairs and assessed their potential to classify samples according to experimental groups. Considering all samples, relative expression from two gene pairs correctly classified 10 out of 12 AI-pregnant heifers (P = 0.0028) separately from the other 11 heifers (NB-pregnant, or non-pregnant).
conclusionThe transcriptome profile in PWBC, at the time of AI, is associated with the fertility potential of beef heifers. Transcript levels of specific genes may be further explored as potential classifiers, and thus selection tools, of heifer fertility.
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