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      Validation of 46 loci associated with female fertility traits in cattle

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          Abstract

          Background

          Subfertility is one challenge facing the dairy industry as the average Holstein heifer conception rate (HCR), the proportion of heifers that conceive and maintain a pregnancy per breeding, is estimated at 55–60%. Of the loci associated with HCR, few have been validated in an independent cattle population, limiting their usefulness for selection or furthering our understanding of the mechanisms involved in successful pregnancy. Therefore, the objectives here were to identify loci associated with HCR: 1) to the first artificial insemination (AI) service (HCR1), 2) to repeated AI services required for a heifer to conceive (TBRD) and 3) to validate loci previously associated with fertility . Breeding and health records from 3359 Holstein heifers were obtained after heifers were bred by AI at observed estrus, with pregnancy determined at day 35 via palpation. Heifer DNA was genotyped using the Illumina BovineHD BeadChip, and genome-wide association analyses (GWAA) were performed with additive, dominant and recessive models using the Efficient Mixed Model Association eXpedited (EMMAX) method with a relationship matrix for two phenotypes. The HCR1 GWAA compared heifers that were pregnant after the first AI service ( n = 497) to heifers that were open following the first AI service ( n = 405), which included those that never conceived. The TBRD GWAA compared only those heifers which did conceive, across variable numbers of AI service ( n = 712). Comparison of loci previously associated with fertility, HCR1 or TBRD were considered the same locus for validation when in linkage disequilibrium (D’ > 0.7).

          Results

          The HCR1 GWAA identified 116, 187 and 28 loci associated ( P < 5 × 10 − 8) in additive, dominant and recessive models, respectively. The TBRD GWAA identified 235, 362, and 69 QTL associated ( P < 5 × 10 − 8) with additive, dominant and recessive models, respectively. Loci previously associated with fertility were in linkage disequilibrium with 22 loci shared with HCR1 and TBRD, 5 HCR1 and 19 TBRD loci.

          Conclusions

          Loci associated with HCR1 and TBRD that have been identified and validated can be used to improve HCR through genomic selection, and to better understand possible mechanisms associated with subfertility.

          Electronic supplementary material

          The online version of this article (10.1186/s12864-019-5935-3) contains supplementary material, which is available to authorized users.

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          Most cited references44

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          Reproductive loss in high-producing dairy cattle: where will it end?

          M Lucy (2001)
          The dairy industry in the United States has changed dramatically in the last decade. Milk production per cow has increased steadily because of a combination of improved management, better nutrition, and intense genetic selection. Dairy farms are larger, and nearly 30% of the dairy cows in the United States are on farms with 500 or more cows. The shift toward more productive cows and larger herds is associated with a decrease in reproductive efficiency. Cows with the greatest milk production have the highest incidence of infertility, but epidemiological studies suggest that, in addition to milk production, other factors are probably decreasing reproductive efficiency in our dairy herds. The reproductive physiology of dairy cows has changed over the past 50 yr, and physiological adaptations to high milk production may explain part of the reproductive decline. Critical areas for new research include control of the estrous cycle, metabolic effects of lactation on reproduction, mechanisms linking disease to reproduction, and early embryonic mortality. Solving reproductive loss in dairy cows will not be easy because only a small number of research groups study reproduction in postpartum dairy cows. Therefore, the present research base will need to be expanded. For this to occur, research funding must be increased above its current level and a renewed emphasis must be placed on solving the emerging crisis of infertility in dairy cows.
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            Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection.

            Seven years after the introduction of genomic selection in the United States, it is now possible to evaluate the impact of this technology on the population. Selection differential(s) (SD) and generation interval(s) (GI) were characterized in a four-path selection model that included sire(s) of bulls (SB), sire(s) of cows (SC), dam(s) of bulls (DB), and dam(s) of cows (DC). Changes in SD over time were estimated for milk, fat, and protein yield; somatic cell score (SCS); productive life (PL); and daughter pregnancy rate (DPR) for the Holstein breed. In the period following implementation of genomic selection, dramatic reductions were seen in GI, especially the SB and SC paths. The SB GI reduced from ∼7 y to less than 2.5 y, and the DB GI fell from about 4 y to nearly 2.5 y. SD were relatively stable for yield traits, although modest gains were noted in recent years. The most dramatic response to genomic selection was observed for the lowly heritable traits DPR, PL, and SCS. Genetic trends changed from close to zero to large and favorable, resulting in rapid genetic improvement in fertility, lifespan, and health in a breed where these traits eroded over time. These results clearly demonstrate the positive impact of genomic selection in US dairy cattle, even though this technology has only been in use for a short time. Based on the four-path selection model, rates of genetic gain per year increased from ∼50-100% for yield traits and from threefold to fourfold for lowly heritable traits.
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              Deletion of Trpm7 disrupts embryonic development and thymopoiesis without altering Mg2+ homeostasis.

              The gene transient receptor potential-melastatin-like 7 (Trpm7) encodes a protein that functions as an ion channel and a kinase. TRPM7 has been proposed to be required for cellular Mg2+ homeostasis in vertebrates. Deletion of mouse Trpm7 revealed that it is essential for embryonic development. Tissue-specific deletion of Trpm7 in the T cell lineage disrupted thymopoiesis, which led to a developmental block of thymocytes at the double-negative stage and a progressive depletion of thymic medullary cells. However, deletion of Trpm7 in T cells did not affect acute uptake of Mg2+ or the maintenance of total cellular Mg2+. Trpm7-deficient thymocytes exhibited dysregulated synthesis of many growth factors that are necessary for the differentiation and maintenance of thymic epithelial cells. The thymic medullary cells lost signal transducer and activator of transcription 3 activity, which accounts for their depletion when Trpm7 is disrupted in thymocytes.
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                Author and article information

                Contributors
                jennifer.kiser@wsu.edu
                elizabeth.keuter@wsu.edu
                CSeabury@cvm.tamu.edu
                mahesh.neupane@wsu.edu
                jnmpt6@mail.missouri.edu
                jdalton@uidaho.edu
                gbvd6@mail.missouri.edu
                spencerte@missouri.edu
                neibergs@wsu.edu
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                12 July 2019
                12 July 2019
                2019
                : 20
                : 576
                Affiliations
                [1 ]ISNI 0000 0001 2157 6568, GRID grid.30064.31, Department of Animal Sciences and Center for Reproductive Biology, , Washington State University, ; Pullman, WA USA
                [2 ]ISNI 0000 0004 4687 2082, GRID grid.264756.4, Department of Veterinary Pathobiology, College of Veterinary Medicine, , Texas A&M University, ; College Station, TX USA
                [3 ]ISNI 0000 0001 2162 3504, GRID grid.134936.a, Division of Animal Sciences, , University of Missouri, ; Columbia, MO USA
                [4 ]ISNI 0000 0001 2284 9900, GRID grid.266456.5, Department of Animal and Veterinary Sciences, , University of Idaho, ; Caldwell, ID USA
                Author information
                http://orcid.org/0000-0001-8121-3072
                Article
                5935
                10.1186/s12864-019-5935-3
                6624949
                31299913
                60b65ddf-50b2-401c-aeb9-a733be0c6a4b
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 18 January 2019
                : 25 June 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100005825, National Institute of Food and Agriculture;
                Award ID: 2013-68004-20365
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Genetics
                cattle,conception rate,dairy,loci,fertility
                Genetics
                cattle, conception rate, dairy, loci, fertility

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