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Inbreeding has the potential to negatively impact animal performance. Strategies to monitor and mitigate inbreeding depression require that it can be accurately estimated. Here, we used genomewide SNP data to explore 3 alternative measures of genomic inbreeding: the diagonal elements of the genomic relationship matrix (FGRM), the proportion of homozygous SNP (FHOM), and the proportion of the genome covered by runs of homozygosity (FROH). We used 2,111 Brahman (BR) and 2,550 Tropical Composite (TC) cattle with phenotypes recorded for 10 traits of relevance to tropical adaptation. We further explored 3 marker densities ranging from a highdensity chip (729,068 SNP), a medium-density chip (71,726 SNP) specifically designed for Bos indicus cattle, and a low-density chip (18,860 SNP) associated with the measures of inbreeding. Measures of FGRM were highly correlated across the 3 SNP densities and negatively correlated with FHOM and FROH in the BR population. In both populations, there was a strong positive correlation for each measure of inbreeding across the 3 SNP panels. We found significant (P < 0.01) inbreeding depression for various traits, particularly when using the highest-density SNP chip in the BR population, where inbreeding was negatively associated with coat color and coat type such that inbred animals presented shorter, slicker, and lighter coats. Based on FGRM using the medium-density chip, we found that a 1% increase in inbreeding in the BR and TC populations was associated with a decrease of 0.514 and 0.579 kg BW, respectively, in yearlings. In the TC population, a 1% increase in FHOM was associated with a decrease in BCS of -0.636% (P < 0.001). The low-density chip, comprising SNP associated with inbreeding, captured genes, and regions with pleiotropic effects (P < 0.001). However, it did not improve our ability to identify inbreeding depression, relative to the use of higher-density panels. We conclude that where heterogeneous populations are present, such as in tropical environments where composite animals abound, measures of inbreeding that do not depend on allele frequencies, such as FHOM and FROH, are preferable for estimating genomic inbreeding. Finally, the sustainable intensification of livestock systems in tropical regions will rely on genetic safeguards to ensure that productivity is improved while also adapting animals to cope with climate change. The results of this study are a step toward achieving that goal. [ABSTRACT FROM AUTHOR]

To understand genes, pathways, and networks related to puberty, we characterized the transcriptome of two tissues: the pituitary gland and ovaries. Samples were harvested from pre- and postpubertal Brahman heifers (same age group). Brahman heifers (Bos indicus) are older at puberty compared with Bos taurus, a productivity issue. With RNA sequencing, we identified differentially expressed (DEx) genes and important transcription factors (TF) and predicted coexpression networks. The number of DEx genes detected in the pituitary gland was 284 (P < 0.05), and VWC2L was the most DEx gene (fold change = 4.12, P = 0.01). The gene VWC2L promotes bone mineralization through transforming growth factor-β (TGFβ) signaling. Further studies of the link between bone mineralization and puberty could target VWC2L. In ovaries, 3,871 genes were DEx (P < 0.05). Four highly DEx genes were noteworthy for their function: SLC6A13 (a γ-aminobutyric acid [GABA] transporter), OXT (oxytocin), and NPY (neuropeptide Y) and its receptor NPY2R. These genes had higher ovarian expression in postpubertal heifers. The GABA and its receptors and transporters were expressed in the ovaries of many mammals, suggesting a role for this pathway beyond the brain. The OXT pathway has been known to influence the timing of puberty in rats, via modulation of GnRH. The effects of NPY at the hypothalamus, pituitary gland, and ovaries have been documented. Neuropeptide Y and its receptors are known factors in the release of GnRH, similar to OXT and GABA, although their roles in ovarian tissue are less clear. Pathways previously related to puberty such as TGFβ signaling (P = 6.71 × 10-5), Wnt signaling (P = 4.1 × 10-2), and peroxisome proliferator-activated receptor (PPAR) signaling (P = 4.84 × 10-2) were enriched in our data set. Seven genes were identified as key TF in both tissues: HIC2, ZIC4, ZNF219, ZSCAN26, LHX1, OLIG1, and a novel gene. An ovarian subnetwork created with TF and significant ovarian DEx genes revealed five zinc fingers as regulators: ZNF507, ZNF12, ZNF512, ZNF184, and ZNF432. Recent work of hypothalamic gene expression also pointed to zinc fingers as TF for bovine puberty. Although some zinc fingers may be ubiquitously expressed, the identification of DEx genes in common across tissues points to key regulators of puberty. The hypothalamus and pituitary gland had eight DEx genes in common. The hypothalamus and ovaries had 89 DEx genes in common. The pituitary gland and ovaries had 48 DEx genes in common. Our study confirmed the complexity of puberty and suggested further investigation on genes that code zinc fingers. [ABSTRACT FROM AUTHOR]

We introduce an innovative approach to lowering the overall cost of obtaining genomic EBV (GEBV) and encourage their use in commercial extensive herds of Brahman beef cattle. In our approach, the DNA genotyping of cow herds from 2 independent properties was performed using a highdensity bovine SNP chip on DNA from pooled blood samples, grouped according to the result of a pregnancy test following their first and second joining opportunities. For the DNA pooling strategy, 15 to 28 blood samples from the same phenotype and contemporary group were allocated to pools. Across the 2 properties, a total of 183 pools were created representing 4,164 cows. In addition, blood samples from 309 bulls from the same properties were also taken. After genotyping and quality control, 74,584 remaining SNP were used for analyses. Pools and individual DNA samples were related by means of a "hybrid" genomic relationship matrix. The pooled genotyping analysis of 2 large and independent commercial populations of tropical beef cattle was able to recover significant and plausible associations between SNP and pregnancy test outcome. We discuss 24 SNP with significant association (P < 1.0 x 10-5) and mapped within 40 kb of an annotated gene. We have established a method to estimate the GEBV in young herd bulls for a trait that is currently unable to be predicted at all. In summary, our novel approach allowed us to conduct genomic analyses of fertility in 2 large commercial Brahman herds managed under extensive pastoral conditions. [ABSTRACT FROM AUTHOR]

Puberty onset is a developmental process influenced by genetic determinants, environment, and nutrition. Mutations and regulatory gene networks constitute the molecular basis for the genetic determinants of puberty onset. The emerging knowledge of these genetic determinants presents opportunities for innovation in the breeding of early pubertal cattle. This paper presents new data on hypothalamic gene expression related to puberty in Bos indicus (Brahman) in age- and weight-matched heifers. Six postpubertal heifers were compared with 6 prepubertal heifers using whole-genome RNA sequencing methodology for quantification of global gene expression in the hypothalamus. Five transcription factors (TF) with potential regulatory roles in the hypothalamus were identified in this experiment: E2F8, NFAT5, SIX5, ZBTB38, and ZNF605. These TF genes were significantly differentially expressed in the hypothalamus of postpubertal versus prepubertal heifers and were also identified as significant according to the applied regulatory impact factor metric (P < 0.05). Two of these 5 TF, ZBTB38 and ZNF605, were zinc fingers, belonging to a gene family previously reported to have a central regulatory role in mammalian puberty. The SIX5 gene belongs to the family of homologues of Drosophila sine oculis (SIX) genes implicated in transcriptional regulation of gonadotrope gene expression. Tumor-related genes such as E2F8 and NFAT5 are known to affect basic cellular processes that are relevant in both cancer and developmental processes. Mutations in NFAT5 were associated with puberty in humans. Mutations in these TF, together with other genetic determinants previously discovered, could be used in genomic selection to predict the genetic merit of cattle (i.e., the likelihood of the offspring presenting earlier than average puberty for Brahman). Knowledge of key mutations involved in genetic traits is an advantage for genomic prediction because it can increase its accuracy. [ABSTRACT FROM AUTHOR]

Fixed-time AI (FTAI) is a powerful tool for genetic improvement of extensively managed beef cattle. A genomewide association study (GWAS) was conducted to investigate genes and genetic markers associated with the outcome (pregnant or not pregnant) of FTAI in 614 commercial Brahman heifers genotyped for 18,895 SNP and imputed to 51,588 SNP. The likelihood of Brahman heifers becoming pregnant after hormonal treatment to synchronize ovulation followed by FTAI was influenced by the Bos indicus content of their genomes, as determined by a principal component analysis. The principal component analysis involved comparisons between the studied heifers and populations of known Bos taurus and B. indicus ancestry. The heritability of FTAI outcome was h² = 0.18, which is higher than for most other reproductive outcome traits. The number of SNP associated with FTAI outcome was 101 (P < 0.001, false discovery rate = 0.53). Compared with all SNP tested, associated SNP had a tendency for highly divergent allelic frequencies between B. indicus and B. taurus. Associated SNP were located in nearly all chromosomes, a result that shows a complex genetic architecture that is typical of highly complex traits with low heritability. Considering this and previous GWAS that examined Brahman heifer puberty and postpartum anestrus interval, 3 genomic regions emerge as important for overall Brahman heifer fertility, which mapped to chromosomes 1, 7, and 9. Further analyses, including improved genome annotation, are required to elucidate the link between these regions and heifer fertility. Additional studies are needed to confirm SNP and gene associations reported herein and further elucidate the genetics of FTAI outcome. Future GWAS should target other Braham populations and additional cattle breeds with FTAI records, including breeds with higher B. taurus ancestry. [ABSTRACT FROM AUTHOR]

High intramuscular fat (IMF) awards price premiums to beef producers and is associated with meat quality and flavor. Studying gene interactions and pathways that affect IMF might unveil causative physiological mechanisms and inform genomic selection, leading to increased accuracy of predictions of breeding value. To study gene interactions and pathways, a gene network was derived from genetic markers associated with direct measures of IMF, other fat phenotypes, feedlot performance, and a number of meat quality traits relating to body conformation, development, and metabolism that might be plausibly expected to interact with IMF biology. Marker associations were inferred from genomewide association studies (GWAS) based on high density genotypes and 29 traits measured on 10,181 beef cattle animals from 3 breed types. For the network inference, SNP pairs were assessed according to the strength of the correlation between their additive association effects across the 29 traits. The co-association inferred network was formed by 2,434 genes connected by 28,283 edges. Topological network parameters suggested a highly cohesive network, in which the genes are strongly functionally interconnected. Pathway and network analyses pointed towards a trio of transcription factors (TF) as key regulators of carcass IMF: PPARGC1A, HNF4G, and FOXP3. Importantly, none of these genes would have been deemed as significantly associated with IMF from the GWAS. Instead, a total of 313 network genes show significant co-association with the 3 TF. These genes belong to a wide variety of biological functions, canonical pathways, and genetic networks linked to IMF-related phenotypes. In summary, our GWAS and network predictions are supported by the current literature and suggest a cooperative role for the 3 TF and other interacting genes including CAPN6, STC2, MAP2K4, EYA1, COPS5, XKR4, NR2E1, TOX, ATF1, ASPH, TGS1, and TTPA as modulators of carcass and meat quality traits in beef cattle. [ABSTRACT FROM AUTHOR]

Transmission ratio distortion (TRD) can be described as the deviation from the expected Mendelian segregation of alleles. Reproduction abnormalities caused by a specific allele or allelic combination may result in violation of Mendel's laws of segregation. Several biological mechanisms can cause TRD, including the preferential transmission of one of the two alleles carried by a heterozygote parent to the zygote at the time of fertilization, embryo or fetal failure and differential viability during early neonatal life. Recently, we developed a Bayesian methodology to identify regions with TRD across the genome using a SNP-by-SNP or haplotype approach. The models can differentiate between parent-unspecific and parent-specific (sire and dam) TRD. Preliminary results using the SNP-by-SNP approach were obtained using 79,238 Holstein sire-dam-progeny trios, genotyped for 44,369 autosomal SNP. The number of TRD regions identified were: 270 unspecific TRD regions and 672 parent-specific TRD regions (dam- (n=393) and sire- (n=271) specific TRD). The genes mapped in a 1Mb interval (downstream and upstream) from each one of those regions were annotated in order to perform functional analysis to identify the candidate genes for the phenotypes associated with TRD regions. Additionally, genes associated with puberty and other female fertility traits identified in three independent populations of Brangus, Brahman and Tropical Composite beef breeds were compared with the genes mapped in TRD regions, to confirm the association of these genes with fertility traits. The genes mapped in TRD regions and shared among breeds were annotated in function of a pleiotropic, which evaluated 32 traits in beef cattle. Three genes overlapping in TRD regions and shared among breeds were identified in pleiotropic regions. The IYD, RBM20 and PLA2G4E genes are related with crucial biological processes associated with embryonic development and survival, such as regulation of thyroid metabolism, cardiac muscle development and hydrolization of phospholipids into fatty acids. These genes showed a magnitude of distortion of 0.012, 0.1 and 0.011, with significant TRD, respectively. These genes are relevant positional and functional candidate gens for the phenotypes associated with TRD regions. It is important to highlight that the functional analysis performed here is a very stringent approach. dditional analysis will be conducted to identify other candidate genes in TRD regions and to provide a better characterization of the TRD regions in function of alleles and genes. However, these results indicate that the proposed methodology is able to identify regions with genes involved with crucial biological processes associated with TRD mechanisms. [ABSTRACT FROM AUTHOR]