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      Genetic Insight Into the Insect Resistance in Bread Wheat Exploiting the Untapped Natural Diversity

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          Abstract

          Climate change is an undeniable threat to sustainable wheat production in the future as an increased temperature will significantly increase grain loss due to the increased number of generations per season of multivoltine species that are detrimental to plants. Among insects, orange wheat blossom midge (OWBM), yellow wheat blossom midge (YWBM), saddle gall midge (SGM), thrips, and frit fly (FF) are important wheat pests in the European environments, which can be managed by the development of resistant cultivars. This involves the identification, confirmation, and incorporation of insect resistance sources into new high-yielding cultivars. We used two diverse and unrelated wheat [winter wheat (WW) and spring wheat (SW)] panels to associate single-nucleotide polymorphism (SNP) markers with the mentioned pests using the tools of association mapping. All in all, a total of 645 and 123 significant associations were detected in WW and SW, respectively, which were confined to 246 quantitative trait loci. Many candidate genes were identified using the BLAST analysis of the sequences of associated SNPs. Some of them are involved in controlling the physical structures of plants such as stomatal immunity and closure, cuticular wax in leaf blade, whereas others are involved in the production of certain enzymes in response to biotic and abiotic stresses. To our knowledge, this is the first detailed investigation that deals with YWBM, SGM, thrips, and FF resistance genetics using the natural variation in wheat. The reported germplasm is also readily available to breeders across the world that can make rational decisions to breed for the pest resilience of their interest by including the resistant genotypes being reported.

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          Most cited references95

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          Inference of Population Structure Using Multilocus Genotype Data

          We describe a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations. We assume a model in which there are K populations (where K may be unknown), each of which is characterized by a set of allele frequencies at each locus. Individuals in the sample are assigned (probabilistically) to populations, or jointly to two or more populations if their genotypes indicate that they are admixed. Our model does not assume a particular mutation process, and it can be applied to most of the commonly used genetic markers, provided that they are not closely linked. Applications of our method include demonstrating the presence of population structure, assigning individuals to populations, studying hybrid zones, and identifying migrants and admixed individuals. We show that the method can produce highly accurate assignments using modest numbers of loci—e.g., seven microsatellite loci in an example using genotype data from an endangered bird species. The software used for this article is available from http://www.stats.ox.ac.uk/~pritch/home.html.
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            STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method

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              TASSEL: software for association mapping of complex traits in diverse samples.

              Association analyses that exploit the natural diversity of a genome to map at very high resolutions are becoming increasingly important. In most studies, however, researchers must contend with the confounding effects of both population and family structure. TASSEL (Trait Analysis by aSSociation, Evolution and Linkage) implements general linear model and mixed linear model approaches for controlling population and family structure. For result interpretation, the program allows for linkage disequilibrium statistics to be calculated and visualized graphically. Database browsing and data importation is facilitated by integrated middleware. Other features include analyzing insertions/deletions, calculating diversity statistics, integration of phenotypic and genotypic data, imputing missing data and calculating principal components.
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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
                11 February 2022
                2022
                : 13
                : 828905
                Affiliations
                [1] 1 Wheat Breeding Group , Plant Breeding and Genetics Division , Nuclear Institute for Agriculture and Biology , Faisalabad, Pakistan
                [2] 2 Leibniz Institute of Plant Genetics and Crop Plant Research , Gatersleben, Germany
                [3] 3 Department of Agroecology , Aarhus University at Flakkebjerg , Slagelse, Denmark
                [4] 4 Institute of Agricultural and Nutritional Sciences , Martin-Luther-University Halle-Wittenberg , Halle, Germany
                Author notes

                Edited by: Muhammad Abdul Rehman Rashid, Government College University, Faisalabad, Pakistan

                Reviewed by: Babar Hussain, University of Central Punjab, Pakistan

                Peter Bulli, Jaramogi Oginga Odinga University of Science and Technology, Kenya

                *Correspondence: Mian Abdur Rehman Arif, m.a.rehman.arif@ 123456gmail.com ; Andreas Börner, boerner@ 123456ipk-gatersleben.de

                This article was submitted to Evolutionary and Population Genetics, a section of the journal Frontiers in Genetics

                Article
                828905
                10.3389/fgene.2022.828905
                8874221
                35222543
                570618b1-b605-4001-a0df-9b8c9981cd53
                Copyright © 2022 Arif, Waheed, Lohwasser, Shokat, Alqudah, Volkmar and Börner.

                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
                : 04 December 2021
                : 11 January 2022
                Categories
                Genetics
                Original Research

                Genetics
                wheat,owbm,ywbm,sgm,candidate genes,frit fly,thrips
                Genetics
                wheat, owbm, ywbm, sgm, candidate genes, frit fly, thrips

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