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      Molecular diversity analysis, drought related marker-traits association mapping and discovery of excellent alleles for 100-day old plants by EST-SSRs in cassava germplasms ( Manihot esculenta Cranz)

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          Abstract

          Cassava is the third largest food crop of the world and has strong ability of drought tolerance. In order to evaluate the molecular diversity and to discover novel alleles for drought tolerance in cassava germplasms, we examined a total of 107 abiotic stress related expressed sequence tags—simple sequence repeat (EST-SSR) markers in 134 cassava genotypes coming from planting regions worldwide and performed drought related marker-traits association mapping. As results, we successfully amplified 98 of 107 markers in 97 polymorphic loci and 279 alleles, with 2.87 alleles per locus, gene diversity of 0.48 and polymorphic information content (PIC) of 0.41 on average. The genetic coefficient between every two lines was 0.37 on average, ranging from 0.21 to 0.82. According to our population structure analysis, these samples could be divided into three sub-populations showing obvious gene flow between them. We also performed water stress experiments using 100-day old cassava plants in two years and calculated the drought tolerance coefficients (DTCs) and used them as phenotypes for marker-trait association mapping. We found that 53 markers were significantly associated with these drought-related traits, with a contribution rate for trait variation of 8.60% on average, ranging between 2.66 and 28.09%. Twenty-four of these 53 associated genes showed differential transcription or protein levels which were confirmed by qRT-PCR under drought stress when compared to the control conditions in cassava. Twelve of twenty-four genes were the same differential expression patterns in omics data and results of qRT-PCR. Out of 33 marker-traits combinations on 24 loci, 34 were positive and 53 negative alleles according to their phenotypic effects and we also obtained the typical materials which carried these elite alleles. We also found 23 positive average allele effects while 10 loci were negative according to their allele effects (AAEs). Our results on molecular diversity, locus association and differential expression under drought can prove beneficial to select excellent materials through marker assisted selection and for functional genes research in the future.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            MapChart: software for the graphical presentation of linkage maps and QTLs.

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              Association mapping in structured populations.

              The use, in association studies, of the forthcoming dense genomewide collection of single-nucleotide polymorphisms (SNPs) has been heralded as a potential breakthrough in the study of the genetic basis of common complex disorders. A serious problem with association mapping is that population structure can lead to spurious associations between a candidate marker and a phenotype. One common solution has been to abandon case-control studies in favor of family-based tests of association, such as the transmission/disequilibrium test (TDT), but this comes at a considerable cost in the need to collect DNA from close relatives of affected individuals. In this article we describe a novel, statistically valid, method for case-control association studies in structured populations. Our method uses a set of unlinked genetic markers to infer details of population structure, and to estimate the ancestry of sampled individuals, before using this information to test for associations within subpopulations. It provides power comparable with the TDT in many settings and may substantially outperform it if there are conflicting associations in different subpopulations.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                11 May 2017
                2017
                : 12
                : 5
                : e0177456
                Affiliations
                [1 ]College of plant science & technology, Huazhong Agricultrural University, Wuhan, Hubei, PR China
                [2 ]Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, PR China
                [3 ]Key Laboratory of Biology and Genetic Resources of Tropical Crops, Ministry of Agriculture, Haikou, PR China
                National Bureau of Plant Genetic Resources, INDIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: MP.

                • Data curation: WQW.

                • Formal analysis: BW.

                • Funding acquisition: MP MBR XLY.

                • Investigation: BW XG PJZ MBR XLY LPZ YLY XL DLD JXX YWX CJH XW XLW.

                • Methodology: BW.

                • Project administration: MP.

                • Resources: WQW.

                • Software: BW.

                • Supervision: MP.

                • Validation: BW XG.

                • Visualization: BW.

                • Writing – original draft: BW MP MBR.

                • Writing – review & editing: BW MP MBR.

                Author information
                http://orcid.org/0000-0003-0198-1261
                Article
                PONE-D-16-47504
                10.1371/journal.pone.0177456
                5426748
                28493955
                ac88e7c5-3e8e-4652-be21-339d3963b500
                © 2017 Wang et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 30 November 2016
                : 27 April 2017
                Page count
                Figures: 5, Tables: 3, Pages: 23
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 31561143012
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 31501378
                Award Recipient :
                Funded by: Hainan province innovative research team foundation
                Award ID: 2016CXTD013
                Award Recipient :
                Funded by: national key technology R and D program of China
                Award ID: 2015BAD15B01
                Award Recipient :
                This work was financially supported by the National Natural Science Foundation of China NSFC-CGIAR Project (grant no. 31561143012), the National Science Foundation of China (grant no. 31501378), the national key technology R&D program of China (grant no. 2015BAD15B01) and the Hainan province innovative research team foundation (grant no. 2016CXTD013).
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Plants
                Shrubs
                Cassava
                Ecology and Environmental Sciences
                Natural Resources
                Water Resources
                Biology and Life Sciences
                Plant Science
                Plant Physiology
                Plant Defenses
                Plant Resistance to Abiotic Stress
                Drought Adaptation
                Biology and Life Sciences
                Plant Science
                Plant Pathology
                Plant Resistance to Abiotic Stress
                Drought Adaptation
                Biology and Life Sciences
                Ecology
                Plant Ecology
                Plant-Environment Interactions
                Plant Resistance to Abiotic Stress
                Drought Adaptation
                Ecology and Environmental Sciences
                Ecology
                Plant Ecology
                Plant-Environment Interactions
                Plant Resistance to Abiotic Stress
                Drought Adaptation
                Biology and Life Sciences
                Plant Science
                Plant Ecology
                Plant-Environment Interactions
                Plant Resistance to Abiotic Stress
                Drought Adaptation
                Biology and Life Sciences
                Genetics
                Genetic Loci
                Alleles
                Biology and Life Sciences
                Genetics
                Genetic Loci
                Biology and Life Sciences
                Agriculture
                Agronomy
                Plant Breeding
                Biology and Life Sciences
                Genetics
                Gene Expression
                Biology and Life Sciences
                Plant Science
                Plant Physiology
                Plant Defenses
                Plant Resistance to Abiotic Stress
                Biology and Life Sciences
                Plant Science
                Plant Pathology
                Plant Resistance to Abiotic Stress
                Biology and Life Sciences
                Ecology
                Plant Ecology
                Plant-Environment Interactions
                Plant Resistance to Abiotic Stress
                Ecology and Environmental Sciences
                Ecology
                Plant Ecology
                Plant-Environment Interactions
                Plant Resistance to Abiotic Stress
                Biology and Life Sciences
                Plant Science
                Plant Ecology
                Plant-Environment Interactions
                Plant Resistance to Abiotic Stress
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                All relevant data are within the paper and its Supporting Information files.

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