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      Development and validation of a RAD-Seq target-capture based genotyping assay for routine application in advanced black tiger shrimp ( Penaeus monodon) breeding programs

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          Abstract

          Background

          The development of genome-wide genotyping resources has provided terrestrial livestock and crop industries with the unique ability to accurately assess genomic relationships between individuals, uncover the genetic architecture of commercial traits, as well as identify superior individuals for selection based on their specific genetic profile. Utilising recent advancements in de-novo genome-wide genotyping technologies, it is now possible to provide aquaculture industries with these same important genotyping resources, even in the absence of existing genome assemblies. Here, we present the development of a genome-wide SNP assay for the Black Tiger shrimp ( Penaeus monodon) through utilisation of a reduced-representation whole-genome genotyping approach (DArTseq).

          Results

          Based on a single reduced-representation library, 31,262 polymorphic SNPs were identified across 650 individuals obtained from Australian wild stocks and commercial aquaculture populations. After filtering to remove SNPs with low read depth, low MAF, low call rate, deviation from HWE, and non-Mendelian inheritance, 7542 high-quality SNPs were retained. From these, 4236 high-quality genome-wide loci were selected for baits-probe development and 4194 SNPs were included within a finalized target-capture genotype-by-sequence assay (DArTcap). This assay was designed for routine and cost effective commercial application in large scale breeding programs, and demonstrates higher confidence in genotype calls through increased call rate (from 80.2 ± 14.7 to 93.0% ± 3.5%), increased read depth (from 20.4 ± 15.6 to 80.0 ± 88.7), as well as a 3-fold reduction in cost over traditional genotype-by-sequencing approaches.

          Conclusion

          Importantly, this assay equips the P. monodon industry with the ability to simultaneously assign parentage of communally reared animals, undertake genomic relationship analysis, manage mate pairings between cryptic family lines, as well as undertake advance studies of genome and trait architecture. Critically this assay can be cost effectively applied as P. monodon breeding programs transition to undertaking genomic selection.

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          Most cited references57

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          COLONY: a program for parentage and sibship inference from multilocus genotype data.

          Pedigrees, depicting genealogical relationships between individuals, are important in several research areas. Molecular markers allow inference of pedigrees in wild species where relationship information is impossible to collect by observation. Marker data are analysed statistically using methods based on Mendelian inheritance rules. There are numerous computer programs available to conduct pedigree analysis, but most software is inflexible, both in terms of assumptions and data requirements. Most methods only accommodate monogamous diploid species using codominant markers without genotyping error. In addition, most commonly used methods use pairwise comparisons rather than a full-pedigree likelihood approach, which considers the likelihood of the entire pedigree structure and allows the simultaneous inference of parentage and sibship. Here, we describe colony, a computer program implementing full-pedigree likelihood methods to simultaneously infer sibship and parentage among individuals using multilocus genotype data. colony can be used for both diploid and haplodiploid species; it can use dominant and codominant markers, and can accommodate, and estimate, genotyping error at each locus. In addition, colony can carry out these inferences for both monoecious and dioecious species. The program is available as a Microsoft Windows version, which includes a graphical user interface, and a Macintosh version, which uses an R-based interface. © 2009 Blackwell Publishing Ltd.
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            Linkage disequilibrium--understanding the evolutionary past and mapping the medical future.

            Linkage disequilibrium--the nonrandom association of alleles at different loci--is a sensitive indicator of the population genetic forces that structure a genome. Because of the explosive growth of methods for assessing genetic variation at a fine scale, evolutionary biologists and human geneticists are increasingly exploiting linkage disequilibrium in order to understand past evolutionary and demographic events, to map genes that are associated with quantitative characters and inherited diseases, and to understand the joint evolution of linked sets of genes. This article introduces linkage disequilibrium, reviews the population genetic processes that affect it and describes some of its uses. At present, linkage disequilibrium is used much more extensively in the study of humans than in non-humans, but that is changing as technological advances make extensive genomic studies feasible in other species.
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              2b-RAD: a simple and flexible method for genome-wide genotyping.

              We describe 2b-RAD, a streamlined restriction site-associated DNA (RAD) genotyping method based on sequencing the uniform fragments produced by type IIB restriction endonucleases. Well-studied accessions of Arabidopsis thaliana were genotyped to validate the method's accuracy and to demonstrate fine-tuning of marker density as needed. The simplicity of the 2b-RAD protocol makes it particularly suitable for high-throughput genotyping as required for linkage mapping and profiling genetic variation in natural populations.
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                Author and article information

                Contributors
                jarrod.guppy@my.jcu.edu.au , jarrod.guppy@jcu.edu.au
                david.jones3@jcu.edu.au
                shannon.kjeldsen1@my.jcu.edu.au
                agnes.leport@jcu.edu.au
                mehar.khatkar@sydney.edu.au
                nick.wade@csiro.au
                melony.sellars@genics.com
                eikejoachim.steinig@my.jcu.edu.au
                herman.raadsma@sydney.edu.au
                dean.jerry@jcu.edu.au
                kyall.zenger@jcu.edu.au
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                5 August 2020
                5 August 2020
                2020
                : 21
                : 541
                Affiliations
                [1 ]GRID grid.1011.1, ISNI 0000 0004 0474 1797, Australian Research Council Industrial Transformation Research Hub for Advanced Prawn Breeding, , James Cook University, ; Townsville, QLD 4811 Australia
                [2 ]GRID grid.1011.1, ISNI 0000 0004 0474 1797, Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, , James Cook University, ; Townsville, QLD 4811 Australia
                [3 ]GRID grid.1013.3, ISNI 0000 0004 1936 834X, Sydney School of Veterinary Science, Faculty of Science, , The University of Sydney, ; Camden, NSW 2570 Australia
                [4 ]CSIRO Agriculture & Food, Integrated Sustainable Aquaculture Production Program, Queensland Bioscience Precinct, St Lucia, QLD 4067 Australia
                [5 ]Present Address: Genics Pty Ltd, Research Road, St Lucia, QLD 4011 Australia
                [6 ]GRID grid.1011.1, ISNI 0000 0004 0474 1797, Australian Institute of Tropical Health and Medicine, , James Cook University, ; Townsville, QLD 4811 Australia
                [7 ]GRID grid.456586.c, Tropical Futures Institute, , James Cook University, ; Singapore, Singapore
                Author information
                http://orcid.org/0000-0003-1864-9644
                Article
                6960
                10.1186/s12864-020-06960-w
                7430818
                32758142
                ad09b74d-496c-4702-a167-a55f800315bc
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

                History
                : 9 January 2020
                : 29 July 2020
                Funding
                Funded by: The Australian Research Council Industrial Research Hub for Advanced Prawn Breeding
                Award ID: IH130200013
                Award Recipient :
                Funded by: Australian Government Department of Education and Training
                Categories
                Methodology Article
                Custom metadata
                © The Author(s) 2020

                Genetics
                genotype by sequencing,advanced breeding,black tiger shrimp,penaeus monodon,diversity arrays technology,aquaculture

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