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      Quantitative Trait Locus Mapping of Host-plant
      Resistance against Insect Pests

      Preprint
      In review
      research-article
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      ScienceOpen Preprints
      ScienceOpen
      insect resistance, genotyping, QTL
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            Abstract

            Host-plant resistance is a fundamental part of integrated pest management through breeding for genes conferring resistance against insect pests. One method that can achieve host plant resistance to insects is through quantitative trait locus (QTL) mapping analysis. This method has advanced significantly recently because of the availability of modern genomic methods and instrumentation, powerful statistical methods, and wide range of molecular markers. Single nucleotide polymorphism (SNPs) and genotyping by sequence (GBS) resulted in high through-put and cost-effective genotyping. Integration of GBS and biparental mapping is a powerful tool as it can be adapted to species that lack preliminary sequence or genotypic information. QTL analysis should be used in untargeted approach and aimed for combined-insect resistance genomic studies because insect pests induce damage in many different ways. Combining QTL mapping analyses with transcriptomics, proteomics and metabolomics, to assess insect resistance at the levels of the genotype, gene expression, and metabolite and protein networks is an integral part to produce multiple pest-resistance breeding.

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            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            1 September 2022
            Affiliations
            [1 ] Institute of Weed Science, Entomology and Plant Pathology, College of Agriculture and Food Science, University of the Philippines Los Banos, Laguna, Philippines 4030
            Author notes
            Article
            10.14293/S2199-1006.1.SOR-.PPRT98L.v1
            c924031b-c9a1-4693-a02f-fefef594101e

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .


            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Crops,General agriculture,Pests, Diseases & Weeds
            insect resistance, genotyping, QTL

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