scholarly journals 93 Host genetics help shape the rumen microbiome in beef cattle

2019 ◽  
Vol 97 (Supplement_2) ◽  
pp. 51-52
Author(s):  
Waseem Abbas ◽  
Jeremy T Howard ◽  
Henry A Paz ◽  
Kristin E Hales ◽  
James E Wells ◽  
...  
Keyword(s):  
Species Composition ◽  
Beef Cattle ◽  
Fixed Effects ◽  
Genome Wide Association Study ◽  
Host Genotype ◽  
Host Genetics ◽  
Subsequent Performance ◽  
Microbial Species ◽  
Rumen Microbiome ◽  
A Genome

Abstract In this study, we investigated the degree to which host genetics shape the rumen microbiome. Complex and diverse microbial communities can alter the nutrient profile available to the animal and subsequent performance. Studies of the gut microbiome have demonstrated that host genotype influences gut microbial species composition. Therefore, microbial species composition in the rumen may be a complex trait that manifests through the convergence of host-genetics and environmental factors. To test this hypothesis, we collected rumen contents and blood samples from 586 beef cattle on different diets from two locations. The rumen samples were used to sequence the V4 region of the 16S rDNA on an Illumina MiSeq platform. Animals were genotyped with various platforms and a common set of 61,974 SNP were used to conduct a genome-wide association study (GWAS) using the microbiome (OTUs, families and phyla) as response variables. The GWAS was performed using Bayesian GBLUP fitting fixed effects of cohort (location and date), and the first 2 principle components to account for population stratification. Median posterior genomic heritability estimates were 0.110, 0.124, and 0.141 at the OTU, family and phylum taxonomic level, respectively. The top 8 1-Mb windows for OTUs, families and phyla were located on 7 different chromosomes. These regions affect the rumen microbiota in multiple ways; some (chromosome 19; position 3.0–4.0 Mb) are associated with closely related taxa (Prevotellaceae, Paraprevotellaceae, and RF16), some (chromosome 27; position 3.0–4.0 Mb) are associated with distantly related taxa (Prevotellaceae, Fibrobacteraceae, RF16, RFP12, S24-7, Lentisphaerae, and Tenericutes) and others (chromosome 23; position 0.0–1.0) controlling both related and unrelated taxa. Overall, the 8 regions identified control 11 different families and 6 different phyla. This study shows that host genetics can affect rumen bacterial community members and points towards the possibility that genomics can be used to manipulate the rumen microbiome.

scholarly journals Genome-Wide Association Analysis of Growth Curve Parameters in Chinese Simmental Beef Cattle

Animals ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 192
Author(s):  
Xinghai Duan ◽  
Bingxing An ◽  
Lili Du ◽  
Tianpeng Chang ◽  
Mang Liang ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Candidate Genes ◽  
Growth Curve ◽  
Growth And Development ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Coefficient Of Determination ◽  
Nucleotide Polymorphisms ◽  
Genome Wide ◽  
A Genome

The objective of the present study was to perform a genome-wide association study (GWAS) for growth curve parameters using nonlinear models that fit original weight–age records. In this study, data from 808 Chinese Simmental beef cattle that were weighed at 0, 6, 12, and 18 months of age were used to fit the growth curve. The Gompertz model showed the highest coefficient of determination (R2 = 0.954). The parameters’ mature body weight (A), time-scale parameter (b), and maturity rate (K) were treated as phenotypes for single-trait GWAS and multi-trait GWAS. In total, 9, 49, and 7 significant SNPs associated with A, b, and K were identified by single-trait GWAS; 22 significant single nucleotide polymorphisms (SNPs) were identified by multi-trait GWAS. Among them, we observed several candidate genes, including PLIN3, KCNS3, TMCO1, PRKAG3, ANGPTL2, IGF-1, SHISA9, and STK3, which were previously reported to associate with growth and development. Further research for these candidate genes may be useful for exploring the full genetic architecture underlying growth and development traits in livestock.

scholarly journals Genome-wide association for heifer reproduction and calf performance traits in beef cattle

Genome ◽  
2015 ◽  
Vol 58 (12) ◽  
pp. 549-557 ◽  
Author(s):  
Everestus C. Akanno ◽  
Graham Plastow ◽  
Carolyn Fitzsimmons ◽  
Stephen P. Miller ◽  
Vern Baron ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Genome Wide Association Study ◽  
Average Daily Gain ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Research Centre ◽  
Genome Wide ◽  
A Genome ◽  
Starting Point ◽  
And Performance

The aim of this study was to identify SNP markers that associate with variation in beef heifer reproduction and performance of their calves. A genome-wide association study was performed by means of the generalized quasi-likelihood score (GQLS) method using heifer genotypes from the BovineSNP50 BeadChip and estimated breeding values for pre-breeding body weight (PBW), pregnancy rate (PR), calving difficulty (CD), age at first calving (AFC), calf birth weight (BWT), calf weaning weight (WWT), and calf pre-weaning average daily gain (ADG). Data consisted of 785 replacement heifers from three Canadian research herds, namely Brandon Research Centre, Brandon, Manitoba, University of Alberta Roy Berg Kinsella Ranch, Kinsella, Alberta, and Lacombe Research Centre, Lacombe, Alberta. After applying a false discovery rate correction at a 5% significance level, a total of 4, 3, 3, 9, 6, 2, and 1 SNPs were significantly associated with PBW, PR, CD, AFC, BWT, WWT, and ADG, respectively. These SNPs were located on chromosomes 1, 5–7, 9, 13–16, 19–21, 24, 25, and 27–29. Chromosomes 1, 5, and 24 had SNPs with pleiotropic effects. New significant SNPs that impact functional traits were detected, many of which have not been previously reported. The results of this study support quantitative genetic studies related to the inheritance of these traits, and provides new knowledge regarding beef cattle quantitative trait loci effects. The identification of these SNPs provides a starting point to identify genes affecting heifer reproduction traits and performance of their calves (BWT, WWT, and ADG). They also contribute to a better understanding of the biology underlying these traits and will be potentially useful in marker- and genome-assisted selection and management.

scholarly journals Influence of host genetics in shaping the rumen bacterial community in beef cattle

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Waseem Abbas ◽  
Jeremy T. Howard ◽  
Henry A. Paz ◽  
Kristin E. Hales ◽  
James E. Wells ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Species Composition ◽  
Community Composition ◽  
Genetic Factors ◽  
Bacterial Community Composition ◽  
Gastrointestinal Microbiota ◽  
Host Genetics ◽  
A Genome ◽  
Host Genetic ◽  
Host Genetic Factors

Abstract In light of recent host-microbial association studies, a consensus is evolving that species composition of the gastrointestinal microbiota is a polygenic trait governed by interactions between host genetic factors and the environment. Here, we investigated the effect of host genetic factors in shaping the bacterial species composition in the rumen by performing a genome-wide association study. Using a common set of 61,974 single-nucleotide polymorphisms found in cattle genomes (n = 586) and corresponding rumen bacterial community composition, we identified operational taxonomic units (OTUs), Families and Phyla with high heritability. The top associations (1-Mb windows) were located on 7 chromosomes. These regions were associated with the rumen microbiota in multiple ways; some (chromosome 19; position 3.0–4.0 Mb) are associated with closely related taxa (Prevotellaceae, Paraprevotellaceae, and RF16), some (chromosome 27; position 3.0–4.0 Mb) are associated with distantly related taxa (Prevotellaceae, Fibrobacteraceae, RF16, RFP12, S24-7, Lentisphaerae, and Tenericutes) and others (chromosome 23; position 0.0–1.0) associated with both related and unrelated taxa. The annotated genes associated with identified genomic regions suggest the associations observed are directed toward selective absorption of volatile fatty acids from the rumen to increase energy availability to the host. This study demonstrates that host genetics affects rumen bacterial community composition.

scholarly journals Genome-wide association study identifies loci and candidate genes for internal organ weights in Simmental beef cattle

2018 ◽  
Vol 50 (7) ◽  
pp. 523-531 ◽  
Author(s):  
Bingxing An ◽  
Jiangwei Xia ◽  
Tianpeng Chang ◽  
Xiaoqiao Wang ◽  
Jian Miao ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Snp Array ◽  
Genome Wide Association ◽  
Heart Weight ◽  
Spleen Weight ◽  
Internal Organs ◽  
Genome Wide ◽  
A Genome

Cattle internal organs as accessible raw materials have a long history of being widely used in beef processing, feed and pharmaceutical industry. These traits not only are of economic interest to breeders, but they are intrinsically linked to many valuable traits, such as growth, health, and productivity. Using the Illumina Bovine HD 770K SNP array, we performed a genome-wide association study for heart weight, liver weight, spleen weight, lung weight, and kidney weight in 1,217 Simmental cattle. In our research, 38 significant single nucleotide polymorphisms (SNPs) ( P < 1.49 × 10−6) were identified for five internal organ weight traits. These SNPs are within or near 13 genes, and some of them have been reported previously, including NDUFAF4, LCORL, BT.94996, SLIT2, FAM184B, LAP3, BBS12, MECOM, CD300LF, HSD17B3, TLR4, MXI1, and MB21D2. In addition, we detected four haplotype blocks on BTA6 containing 18 significant SNPs associated with spleen weight. Our results offer worthy insights into understanding the genetic mechanisms of internal organs' development, with potential application in breeding programs of Simmental beef cattle.

scholarly journals Beef cattle body temperature during climatic stress: a genome-wide association study

2013 ◽  
Vol 58 (7) ◽  
pp. 1665-1672 ◽  
Author(s):  
Jeremy T. Howard ◽  
Stephen D. Kachman ◽  
Warren M. Snelling ◽  
E. John Pollak ◽  
Daniel C. Ciobanu ◽  
...  
Keyword(s):  
Body Temperature ◽  
Beef Cattle ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Climatic Stress ◽  
Genome Wide ◽  
A Genome

scholarly journals Single-Nucleotide Polymorphism Variations Associated With Specific Genes Putatively Identified Enhanced Genetic Predisposition for 305-Day Milk Yield in the Girolando Crossbreed

2021 ◽  
Vol 11 ◽  
Author(s):  
Alex Silva da Cruz ◽  
Danilo Conrado Silva ◽  
Lysa Bernardes Minasi ◽  
Larissa Kamídia de Farias Teixeira ◽  
Flávia Melo Rodrigues ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Genetic Predisposition ◽  
Fixed Effects ◽  
Genome Wide Association Study ◽  
Significant Snps ◽  
Nucleotide Polymorphisms ◽  
Production Traits ◽  
Single Nucleotide ◽  
A Genome

Milk production phenotypes are the main focus of genetic selection in dairy herds, and although there are many genes identified as related to the biology of these traits in pure breeds, little is known about crossbreed animals. This study aimed to identify potential genes associated with the 305-day milk yield in 337 crossbreed Gir × Holstein (Girolando) animals. Milk production records were genotyped for 45,613 single-nucleotide polymorphisms (SNPs). This dataset was used for a genome-wide association study (GWAS) using the 305-day milk yield adjusted for the fixed effects of herd and year and linear and quadratic effects of age at calving (in days) and calving factor averaged per animal. Genes within the significant SNPs were retrieved from the Bos taurus ARS-UCD1.2 assembly (bosTau9) for gene ontology analysis. In summary, the GWAS identified 52 SNPs associated [p ≤ 10–4, false discovery rate (FDR) = 8.77%] with milk production, including NUB1 and SLC24A2, which were previously described as related to milk production traits in cattle. The results suggest that SNPs associated mainly with NUB1 and SLC24A2 could be useful to understand milk production in Girolando and used as predictive markers for selecting genetic predisposition for milk yield in Girolando.

scholarly journals Japan COVID-19 Task Force: a nation-wide consortium to elucidate host genetics of COVID-19 pandemic in Japan

2021 ◽  
Author(s):  
Ho Namkoong ◽  
Ryuya Edahiro ◽  
Koichi Fukunaga ◽  
Yuya Shirai ◽  
Kyuto Sonehara ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Risk Allele ◽  
Task Force ◽  
European Population ◽  
P Value ◽  
Host Genetics ◽  
Risk Variants ◽  
Genome Wide ◽  
A Genome ◽  
The Face

To elucidate the host genetic loci affecting severity of SARS-CoV-2 infection, or Coronavirus disease 2019 (COVID-19), is an emerging issue in the face of the current devastating pandemic. Here, we report a genome-wide association study (GWAS) of COVID-19 in a Japanese population led by the Japan COVID-19 Task Force, as one of the initial discovery GWAS studies performed on a non-European population. Enrolling a total of 2,393 cases and 3,289 controls, we not only replicated previously reported COVID-19 risk variants (e.g., LZTFL1, FOXP4, ABO, and IFNAR2), but also found a variant on 5p35 (rs60200309-A at DOCK2) that was significantly associated with severe COVID-19 in younger (<65 years of age) patients with a genome-wide significant p-value of 1.2 × 10-8 (odds ratio = 2.01, 95% confidence interval = 1.58-2.55). This risk allele was prevalent in East Asians, including Japanese (minor allele frequency [MAF] = 0.097), but rarely found in Europeans. Cross-population Mendelian randomization analysis made a causal inference of a number of complex human traits on COVID-19. In particular, obesity had a significant impact on severe COVID-19. The presence of the population-specific risk allele underscores the need of non-European studies of COVID-19 host genetics.

scholarly journals 66 A genome-wide association study for gestation length in swine

2019 ◽  
Vol 97 (Supplement_2) ◽  
pp. 40-40
Author(s):  
Garrett See ◽  
Melanie Trenhaile-Gannemann ◽  
Daniel Ciobanu ◽  
Matthew L Spangler ◽  
Benny Mote
Keyword(s):  
Fixed Effects ◽  
Genome Wide Association Study ◽  
Group Development ◽  
Genome Wide Association ◽  
Gestation Length ◽  
Genome Wide ◽  
A Genome ◽  
University Of Nebraska Lincoln ◽  
Genomic Regions ◽  
The University

Abstract The objective of the current study was to conduct a genome-wide association on gestation length (GL) in different parities in swine. Sows (n = 831) belonging to the University of Nebraska – Lincoln resource population (Landrace X Nebraska Index Line) were utilized. GL was defined as the number of days between the final insemination and farrowing. Four traits, GL at parity 1, 2, 3 and 4 (GL1, GL2, GL3 and GL4, respectively) were investigated. Animals which were induced 24h prior to a farrowing event were removed from the analysis. Sows were genotyped with the Illumina SNP60 BeadArray. A Bayes C model with π=0.995 was implemented with fixed effects of contemporary group, development pen, diet, linear and quadratic terms for age at puberty (GL1; P < 0.01), and linear and quadratic terms for farrowing age (GL2; P < 0.01). Results are posterior means of 55,000 samples.Single marker association analysis (SMA) was performed in R utilizing a linear model on SNP from 1-Mb windows (n = 10) which explained the largest proportion of genetic variation in GL1. Top 10 (0.5% of all windows) 1-Mb windows accounted for a limited proportion of genetic variance, 7.75, 4.66, 3.45 and 2.05% in GL1, GL2, GL3 and GL4, respectively. Posterior mean heritability estimates (posterior SD) for GL1, GL2, GL3 and GL4 were 0.33 (0.06), 0.34 (0.07), 0.32 (0.08) and 0.20 (0.08), respectively. The top SNP (ASGA0017859, SSC4, 7.8 Mb) located in one of the two top common genomic regions associated with GL1, GL2 and GL3 displayed a difference of 1.1d in GL1 between alternate homozygotes (P < 0.01). The top SNP from nine of the ten regions were significant (P < 0.05) in the SMA. Two of these regions were in common with GL2 and GL3 where SNP with potential functional effects were found in ZFAT, MAML2 and CCDC82. Results suggest GL is a largely polygenic trait.

scholarly journals Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Gita A. Pathak ◽  
Kritika Singh ◽  
Tyne W. Miller-Fleming ◽  
Frank R. Wendt ◽  
Nava Ehsan ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Clinical Symptoms ◽  
Ethnic Studies ◽  
Host Genetics ◽  
Protein Levels ◽  
Genome Wide ◽  
A Genome ◽  
Causal Genes ◽  
Host Inflammatory Response

AbstractDespite rapid progress in characterizing the role of host genetics in SARS-Cov-2 infection, there is limited understanding of genes and pathways that contribute to COVID-19. Here, we integrate a genome-wide association study of COVID-19 hospitalization (7,885 cases and 961,804 controls from COVID-19 Host Genetics Initiative) with mRNA expression, splicing, and protein levels (n = 18,502). We identify 27 genes related to inflammation and coagulation pathways whose genetically predicted expression was associated with COVID-19 hospitalization. We functionally characterize the 27 genes using phenome- and laboratory-wide association scans in Vanderbilt Biobank (n = 85,460) and identified coagulation-related clinical symptoms, immunologic, and blood-cell-related biomarkers. We replicate these findings across trans-ethnic studies and observed consistent effects in individuals of diverse ancestral backgrounds in Vanderbilt Biobank, pan-UK Biobank, and Biobank Japan. Our study highlights and reconfirms putative causal genes impacting COVID-19 severity and symptomology through the host inflammatory response.

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