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      Variants Within Genes EDIL3 and ADGRB3 are Associated With Divergent Fecal Egg Counts in Katahdin Sheep at Weaning

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          Abstract

          Gastrointestinal nematodes (GIN) pose a severe threat to sheep production worldwide. Anthelmintic drug resistance coupled with growing concern regarding potential environmental effects of drug use have demonstrated the necessity of implementing other methods of GIN control. The aim of this study was to test for genetic variants associated with resistance or susceptibility to GIN in Katahdin sheep to improve the current understanding of the genetic mechanisms responsible for host response to GIN. Linear regression and case-control genome-wide association studies were conducted with high-density genotype data and cube-root transformed weaning fecal egg counts (tFEC) of 583 Katahdin sheep. The case-control GWAS identified two significant SNPs ( P-values 1.49e-08 to 1.01e-08) within introns of the gene adhesion G protein-coupled receptor B3 ( ADGRB3) associated with lower fecal egg counts. With linear regression, four significant SNPs ( P-values 7.82e-08 to 3.34e-08) were identified within the first intron of the gene EGF-like repeats and discoidin domains 3 ( EDIL3). These identified SNPs were in very high linkage disequilibrium ( r 2 of 0.996–1), and animals with alternate homozygous genotypes had significantly higher median weaning tFEC phenotypes compared to all other genotypes. Significant SNPs were queried through public databases to identify putative transcription factor binding site (TFBS) and potential lncRNA differences between reference and alternate alleles. Changes in TFBS were predicted at two SNPs, and one significant SNP was found to be within a predicted lncRNA sequence with greater than 90% similarity to a known lncRNA in the bovine genome. The gene EDIL3 has been described in other species for its roles in the inhibition and resolution of inflammation. Potential changes of EDIL3 expression mediated through lncRNA expression and/or transcription factor binding may impact the overall immune response and reduce the ability of Katahdin sheep to control GIN infection. This study lays the foundation for further research of EDIL3 and ADGRB3 towards understanding genetic mechanisms of susceptibility to GIN, and suggests these SNPs may contribute to genetic strategies for improving parasite resistance traits in sheep.

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          Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, large data sets comprising hundreds of thousands of markers genotyped for thousands of individuals can be rapidly manipulated and analyzed in their entirety. As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage. We introduce PLINK and describe the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation. In particular, we focus on the estimation and use of identity-by-state and identity-by-descent information in the context of population-based whole-genome studies. This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals. Analysis of the patterns of segmental sharing has the potential to map disease loci that contain multiple rare variants in a population-based linkage analysis.
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            Oxidative stress, inflammation, and cancer: how are they linked?

            Extensive research during the past 2 decades has revealed the mechanism by which continued oxidative stress can lead to chronic inflammation, which in turn could mediate most chronic diseases including cancer, diabetes, and cardiovascular, neurological, and pulmonary diseases. Oxidative stress can activate a variety of transcription factors including NF-κB, AP-1, p53, HIF-1α, PPAR-γ, β-catenin/Wnt, and Nrf2. Activation of these transcription factors can lead to the expression of over 500 different genes, including those for growth factors, inflammatory cytokines, chemokines, cell cycle regulatory molecules, and anti-inflammatory molecules. How oxidative stress activates inflammatory pathways leading to transformation of a normal cell to tumor cell, tumor cell survival, proliferation, chemoresistance, radioresistance, invasion, angiogenesis, and stem cell survival is the focus of this review. Overall, observations to date suggest that oxidative stress, chronic inflammation, and cancer are closely linked. Copyright © 2010 Elsevier Inc. All rights reserved.
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              JASPAR 2020: update of the open-access database of transcription factor binding profiles

              Abstract JASPAR (http://jaspar.genereg.net) is an open-access database of curated, non-redundant transcription factor (TF)-binding profiles stored as position frequency matrices (PFMs) for TFs across multiple species in six taxonomic groups. In this 8th release of JASPAR, the CORE collection has been expanded with 245 new PFMs (169 for vertebrates, 42 for plants, 17 for nematodes, 10 for insects, and 7 for fungi), and 156 PFMs were updated (125 for vertebrates, 28 for plants and 3 for insects). These new profiles represent an 18% expansion compared to the previous release. JASPAR 2020 comes with a novel collection of unvalidated TF-binding profiles for which our curators did not find orthogonal supporting evidence in the literature. This collection has a dedicated web form to engage the community in the curation of unvalidated TF-binding profiles. Moreover, we created a Q&A forum to ease the communication between the user community and JASPAR curators. Finally, we updated the genomic tracks, inference tool, and TF-binding profile similarity clusters. All the data is available through the JASPAR website, its associated RESTful API, and through the JASPAR2020 R/Bioconductor package.
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                Author and article information

                Contributors
                Journal
                Front Genet
                Front Genet
                Front. Genet.
                Frontiers in Genetics
                Frontiers Media S.A.
                1664-8021
                10 March 2022
                2022
                : 13
                : 817319
                Affiliations
                [1] 1 Department of Animal , Veterinary and Food Sciences , University of Idaho , Moscow, ID, United States
                [2] 2 USDA , ARS , Dale Bumpers Small Farms Research Center , Booneville, AR, United States
                [3] 3 Department of Animal Science , University of Nebraska–Lincoln , Lincoln, NE, United States
                [4] 4 Department of Pathobiological Sciences , School of Veterinary Medicine , Louisiana State University , Baton Rouge, LA, United States
                [5] 5 Round Mountain Consulting , Fayetteville, AR, United States
                [6] 6 USDA , ARS , Animal Genomics and Improvement Laboratory , Beltsville, MD, United States
                [7] 7 Department of Animal and Poultry Sciences , Virginia Tech , Blacksburg, VA, United States
                Author notes

                Edited by: Tatiana Deniskova, L. K. Ernst Federal Science Center for Animal Husbandry (RAS), Russia

                Reviewed by: Ricardo Zanella, The University of Passo Fundo, Brazil

                Wesley Lyeverton Correia Ribeiro, Federal University of Ceara, Brazil

                *Correspondence: Brenda M. Murdoch, bmurdoch@ 123456uidaho.edu

                This article was submitted to Livestock Genomics, a section of the journal Frontiers in Genetics

                Article
                817319
                10.3389/fgene.2022.817319
                8960952
                35360858
                18b80a18-e5e8-4454-8f6c-4aa94d2a9de1
                Copyright © 2022 Becker, Burke, Lewis, Miller, Morgan, Rosen, Van Tassell, Notter and Murdoch.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 17 November 2021
                : 02 February 2022
                Categories
                Genetics
                Original Research

                Genetics
                gastrointestinal nematodes,helminth,parasites,gwas,hair sheep
                Genetics
                gastrointestinal nematodes, helminth, parasites, gwas, hair sheep

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