scholarly journals 384 Genetic and Genomic Analysis in Livestock with Increasing Datasets

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 137-138
Author(s):  
Daniela Lourenco ◽  
Shogo Tsuruta ◽  
Yutaka Masuda ◽  
Ignacy Misztal

Abstract In animal breeding and genetics, statistical methods have been used for several decades to identify animals with the best genetic potential. One of the foundations for computing accurate estimated breeding values (EBV) is the amount of data that is used in the evaluation system — as the more data points one animal has, the more accurate its EBV is going to be. However, the animal breeding and genetics field periodically faces a big data paradox, where efficient methods have to be developed to handle the amount of data collected over time, given the computing capacity becomes the limiting factor. For instance, running genetic evaluations based on phenotypes and pedigree for a million animals was impossible in 1970. Methods and algorithms evolved to a point where using data for millions of animals was not a problem, until genomic information became available. After the development of single nucleotide polymorphism (SNP) chips for livestock in 2008, genomic information started being used in addition to phenotypes and pedigree to further improve accuracy of EBV. However, each animal is genotyped for around 50,000 SNP, which makes this data dense and difficult to work with. Over 790,000 Angus and 3.4 million Holstein cattle have been genotyped in the US as of April 2020. As the amount of new data considerably increases every week, most of the genomic evaluations are done on a weekly basis. Given that data have to be processed, the computation of EBV cannot take more than four days, which can be challenging depending on the model. In this talk we will discuss the challenges and solutions for successful genomic evaluations in large livestock populations. Finally, perspectives on the use of whole-genome sequence data and high-throughput phenotypes in genomic analysis will be summarized.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Prince Kumar ◽  
Mukesh K. Meghvansi ◽  
D. V. Kamboj

AbstractShigella has the remarkable capability to acquire antibiotic resistance rapidly thereby posing a significant public health challenge for the effective treatment of dysentery (Shigellosis). The phage therapy has been proven as an effective alternative strategy for controlling Shigella infections. In this study, we illustrate the isolation and detailed characterization of a polyvalent phage 2019SD1, which demonstrates lytic activity against Shigella dysenteriae, Escherichia coli, Vibrio cholerae, Enterococcus saccharolyticus and Enterococcus faecium. The newly isolated phage 2019SD1 shows adsorption time < 6 min, a latent period of 20 min and burst size of 151 PFU per bacterial cell. 2019SD1 exhibits considerable stability in a wide pH range and survives an hour at 50 °C. Under transmission electron microscope, 2019SD1 shows an icosahedral capsid (60 nm dia) and a 140 nm long tail. Further, detailed bioinformatic analyses of whole genome sequence data obtained through Oxford Nanopore platform revealed that 2019SD1 belongs to genus Hanrivervirus of subfamily Tempevirinae under the family Drexlerviridae. The concatenated protein phylogeny of 2019SD1 with the members of Drexlerviridae taking four genes (DNA Primase, ATP Dependent DNA Helicase, Large Terminase Protein, and Portal Protein) using the maximum parsimony method also suggested that 2019SD1 formed a distinct clade with the closest match of the taxa belonging to the genus Hanrivervirus. The genome analysis data indicate the occurrence of putative tail fiber proteins and DNA methylation mechanism. In addition, 2019SD1 has a well-established anti-host defence system as suggested through identification of putative anti-CRISPR and anti-restriction endonuclease systems thereby also indicating its biocontrol potential.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Quiterie Haenel ◽  
Krista B. Oke ◽  
Telma G. Laurentino ◽  
Andrew P. Hendry ◽  
Daniel Berner

AbstractHow ecological divergence causes strong reproductive isolation between populations in close geographic contact remains poorly understood at the genomic level. We here study this question in a stickleback fish population pair adapted to contiguous, ecologically different lake and stream habitats. Clinal whole-genome sequence data reveal numerous genome regions (nearly) fixed for alternative alleles over a distance of just a few hundred meters. This strong polygenic adaptive divergence must constitute a genome-wide barrier to gene flow because a steep cline in allele frequencies is observed across the entire genome, and because the cline center closely matches the habitat transition. Simulations confirm that such strong divergence can be maintained by polygenic selection despite high dispersal and small per-locus selection coefficients. Finally, comparing samples from near the habitat transition before and after an unusual ecological perturbation demonstrates the fragility of the balance between gene flow and selection. Overall, our study highlights the efficacy of divergent selection in maintaining reproductive isolation without physical isolation, and the analytical power of studying speciation at a fine eco-geographic and genomic scale.


2019 ◽  
Author(s):  
Ivan Sserwadda ◽  
Dickson Aruhomukama ◽  
Gerald Mboowa

Abstract Objective: This study aimed at providing a comprehensive genomic analysis of whole-genome sequence data obtained from V. cholerae isolates from different outbreaks in Uganda using bioinformatics approaches. Results :The ten sequenced strains of V. cholerae were found to carry virulence-associated genes MakA, ctxA, ctxB, carA, carB, trpB, clpB, ace, toxR, zot, rtxA, ompW, ompR, gmhA, fur, hlyA, rstR, Type IV secretion system genes, T6SS genes vasA-L, vgrG-2, vgrG-3, vipA/mglA, and vipB/mglB; alsD; alsR; the flagella-mediated cytotoxin gene, makA; Type IV pilus genes tcpA-F, tcpH-J, tcpN, tcpP-T, and icmF/vasK; adherence genes acfA-D, IlpA, and quorum sensing system genes luxS and cqsA. Pathogenicity islands identified were VSP-1, VSP-2, VPI-1, and VPI-2. Antimicrobial resistance genes identified in the strains included strA and B, APH(3'')-I, APH(3'')-Ib, APH(6)-Id, APH(6)-Ic, murA, pare, dfrA1, floR, catB, and catB9. The strains also contained genes of the VC1786 integrative and conjugative element. SNP-based phylogenetic analysis revealed 218 shared SNPs in the strains, of these, 98 were missense. Gene enrichment analysis of the 98 SNPs revealed enrichment in genes that mediate transmembrane-signaling activity, peptidyl-prolyl cis-trans isomerase activity, and phosphorelay response regulator activity.


2020 ◽  
Vol 60 ◽  
pp. 125-134
Author(s):  
Yu. P. Polupan ◽  
N. L. Rieznykova ◽  
Y. S. Vysochanskii ◽  
S. V. Pryima

During 2018–2019 Ukraine took part in the project of Food and Agriculture Organization (FAO) «Conservation and development of double-purpose cattle breeds in Eastern Europe» (TCP/RER/3604). The project covered Brown Carpathian and Brown Caucasian breeds of Armenia, Georgia and Ukraine. On the results of the project, experts from the FAO Regional Office for Europe and Central Asia, international experts prepared reports on gender, social and economic characteristics of the studied regions, genomic analysis of samples and provided recommendations for breeding in the regions with the breeds. It was considered expedient to present these results to the general scientific community. At each country FAO have chosen service-provider (organization), which should make survey on productive environment of targeted breed (in Ukraine – Brown Carpathian), conclude the general state of the breed, visit at least 100 farms where Caucasian/Carpathian Brown cattle breed was kept, collect information from 300 cows and 20 bulls, and genetic samples from at least 100 cows and 20 bulls kept for breeding. Service-provider in Ukraine was M.V.Zubets Institute of Animal Breeding and Genetics, NAAS. Scientists of M.V.Zubets Institute of Animal Breeding and Genetics and other sub-contracting organizations during February-June, 2019 investigated 265 heads of cattle in 31 villages 5 districts of the Transcarpathian region, phenotypically classified as Brown Carpathian breed, including 6 breeding bulls of mating age (1.5–2 years). Each animal was photographed, linearly descriptive features of the exterior were evaluated, the necessary body measurements were taken with the help of appropriate tools, live weight and constitutional features were determined, and samples were taken for genetic testing. A total of 554 hair samples were taken from the project (123 – from Armenia, 141 – from Georgia and 290 – from Ukraine). The basis for classifying the animals as Brown Carpathian was phenotypic examination and strict compliance with the main characteristics of the breed: uniform grey or brown colour with different shades of it, general conformation typical for the breed, lighter belt along the back, black muzzle with lighter hair around it, black hooves and horn tips, lighter "glasses" around the eyes, thick light hair inside outer ears. To form the genetic passport of the population, hair was selected from the tail switch of selected animals using equipment provided by FAO, sent to the laboratories of the International Atomic Energy Agency, Austria. In the laboratory in the district of Siebersdorf, DNA was isolated from the obtained samples, the genetic diversity of populations, the degree of inbreeding and their effective number, kinship between populations were assessed and the genetic structure and level of influence of other breeds were analysed. DNA was extracted from each hair follicle using a MasterPure kit (Biozym, Illumina, USA) according to the protocol of the Association of Public Health Laboratories (APHL). The isolated DNA was subjected to a two-step quality control procedure before preparation for wide-genome typing. DNA samples were measured using a Nanodrop spectrophotometer to obtain a concentration with a ratio of 260/280 and 260/230. According to the results obtained using a spectrophotometer, DNA samples were diluted to measure high-quality double-stranded DNA (dsDNA) by PicoGreen Assay. The final working DNA was prepared based on PicoGreen measurements and stored at – 20°C for further processing. Sample genotyping was performed using a third-generation 384-cell matrix to assess Bovine individuals on the Affymetrix-Axiom platform (Axiom Bovine Genotyping v3 array). Within the project, 48 individuals of Austrian Simmental and 18 – Ayrshire breeds were also genotyped for comparison. The matrix included 64.000 SNPs, providing a high probability of covering genomic variations of the Bos taurus and Bos indicus breeds. Intra-breed genetic diversity was assessed using PLINK v1.09 to calculate actual heterozygosity (H0) and inbreeding coefficient (FIS). Analysis of genetic parameters of population diversity evidenced a rather low inbreeding rate of Brown Carpathian breed and a fairly high effective population size compared to European breeds, which can indicate a very limited practice of artificial insemination and lack of selection among bulls. Analysis of genetic differentiation and relationship between populations, principal components analysis and determination of admixtures of other breeds proved the uniqueness of the Brown Carpathian breed from a genetic point of view. Based on the conducted genomic analysis of populations, consultations with project participants, reports of service providers of each country, an international consultant on animal genetic resources, chairman of the ICAR working group on functional traits, formed a breeding program for the studied populations. The breeding program included proposals for further selection work, calculation of basic selection-genetic parameters, selection effect, number of bulls and heifers for selection nucleus, number of doses to maintain genetic diversity of the population, cost of population restoration, breeding work of breeding centre and work plan by years to implement a breeding program. Gender analysis of service providers' reports showed some gender differentiation in livestock care, processing and everyday life of owners of Brown Carpathian cattle.


2020 ◽  
Author(s):  
Quiterie Haenel ◽  
Krista B. Oke ◽  
Telma G. Laurentino ◽  
Andrew P. Hendry ◽  
Daniel Berner

AbstractHow ecological divergence causes strong reproductive isolation between populations in close geographic contact remains poorly understood at the genomic level. We here study this question in a stickleback population pair adapted to contiguous, ecologically different lake and stream habitats. Dense clinal whole-genome sequence data reveal numerous regions fixed for alternative alleles over a distance of just a few hundred meters. This strong polygenic adaptive divergence must constitute a genome-wide barrier to gene flow because a steep cline in allele frequencies is observed across the entire genome, and because the cline center co-localizes with the habitat transition. Simulations confirm that such strong reproductive isolation can be maintained by polygenic selection despite high dispersal and small per-locus selection coefficients. Finally, comparing samples from the cline center before and after an unusual ecological perturbation demonstrates the fragility of the balance between gene flow and selection. Overall, our study highlights the efficacy of divergent selection in maintaining reproductive isolation without physical isolation, and the analytical power of studying speciation at a fine eco-geographic and genomic scale.


2013 ◽  
Vol 53 (9) ◽  
pp. 869 ◽  
Author(s):  
Richard J. Spelman ◽  
Ben J. Hayes ◽  
Donagh P. Berry

The New Zealand, Australian and Irish dairy industries have used genomic information to enhance their genetic evaluations over the last 2–4 years. The improvement in the accuracy obtained from including genomic information on thousands of animals in the national evaluation system has revolutionised the dairy breeding programs in the three countries. The genomically enhanced breeding values (GEBV) of young bulls are more reliable than breeding values based on parent average, thus allowing the young bulls to be reliably selected and used in the national herd. Traditionally, the use of young bulls was limited and bulls were not used extensively until they were 5 years old when the more reliable progeny test results became available. Using young sires, as opposed to progeny-tested sires, in the breeding program dramatically reduces the generation interval, thereby facilitating an increase in the rate of genetic gain by 40–50%. Young sires have been marketed on their GEBV in the three countries over the last 2–4 years. Initial results show that the genomic estimates were overestimated in both New Zealand and Ireland. Adjustments have since been introduced into their respective national evaluations to reduce the bias. A bias adjustment has been included in the Australian evaluation since it began; however, official genomic evaluations have not been in place as long as in New Zealand and Ireland, so there has been less opportunity to validate if the correction accounts for all bias. Sequencing of the dairy cattle population has commenced in an effort to further improve the genomic predictions and also to detect causative mutations that underlie traits of economic performance.


2020 ◽  
Author(s):  
Mayara Salvian ◽  
Gabriel Costa Monteiro Moreira ◽  
Ândrea Plotzki Reis ◽  
Brayan Dias Dauria ◽  
Fabrício Pilonetto ◽  
...  

Abstract Background: Traditionally, breeding values are estimated based on phenotypic and pedigree information using the numerator relationship (A) matrix. With the availability of genomic information, genome-wide markers can be included in the estimation of breeding values through genomic kinship. However, the density of genomic information used can impact the cost of implementation. The aim of this study was to compare the rank, accuracy, and bias of estimated breeding values (EBV) for organs [heart (HRT), liver (LIV), gizzard (GIZ), lungs (LUN)] and carcass [breast (BRST), drumstick (DRM) and thigh (THG)] weight traits in a broiler population using pedigree-based BLUP (PBLUP) and single-step genomic BLUP (ssGBLUP) methods using various densities of SNP and variants imputed from whole-genome sequence (WGS). Results: For both PBLUP and ssGBLUP, heritability estimates varied from low (LUN) to high (HRT, LIV, GIZ, BRST, DRM and THG). Regression coefficients values of EBV on genomic estimated breeding values (GEBV) were similar for both the high density (HD) and WGS sets of SNPs, ranging from 0.87 to 0.99 across scenarios. Conclusion: Results show no benefit of using WGS data compared to HD array data using an unweighted ssGBLUP. Our results suggest that 10% of the content of the HD array can yield unbiased and accurate EBV.


Author(s):  
Amnon Koren ◽  
Dashiell J Massey ◽  
Alexa N Bracci

Abstract Motivation Genomic DNA replicates according to a reproducible spatiotemporal program, with some loci replicating early in S phase while others replicate late. Despite being a central cellular process, DNA replication timing studies have been limited in scale due to technical challenges. Results We present TIGER (Timing Inferred from Genome Replication), a computational approach for extracting DNA replication timing information from whole genome sequence data obtained from proliferating cell samples. The presence of replicating cells in a biological specimen leads to non-uniform representation of genomic DNA that depends on the timing of replication of different genomic loci. Replication dynamics can hence be observed in genome sequence data by analyzing DNA copy number along chromosomes while accounting for other sources of sequence coverage variation. TIGER is applicable to any species with a contiguous genome assembly and rivals the quality of experimental measurements of DNA replication timing. It provides a straightforward approach for measuring replication timing and can readily be applied at scale. Availability and Implementation TIGER is available at https://github.com/TheKorenLab/TIGER. Supplementary information Supplementary data are available at Bioinformatics online


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