The Plant Pathology Journal

The Korean Society of Plant Pathology (한국식물병리학회)
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Association Analysis of Charcoal Rot Disease Resistance in Soybean

  • Ghorbanipour, Ali (Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences, University of Guilan) ;
  • Rabiei, Babak (Department of Agronomy and Plant Breeding, Faculty of Agricultural Sciences, University of Guilan) ;
  • Rahmanpour, Siamak (Seed and Plant Improvement Institute (SPII), Agricultural Research, Education and Extension Organization (AREEO)) ;
  • Khodaparast, Seyed Akbar (Department of Plant Protection, Faculty of Agricultural Sciences, University of Guilan)
  • Received : 2018.12.08
  • Accepted : 2019.02.18
  • Published : 2019.06.01
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Abstract

In this research, the relationships among the 31 microsatellite markers with charcoal rot disease resistance related indices in 130 different soybean cultivars and lines were evaluated using association analysis based on the general linear model (GLM) and the mixed linear model (MLM) by the Structure and Tassel software. The results of microsatellite markers showed that the genetic structure of the studied population has three subpopulations (K=3) which the results of bar plat also confirmed it. In association analysis based on GLM and MLM models, 31 and 35 loci showed significant relationships with the evaluated traits, respectively, and confirmed considerable variation of the studied traits. The identified markers related to some of the studied traits were the same which can probably be due to pleiotropic effects or tight linkage among the genomic regions controlling these traits. Some of these relationships were including, the relationship between Sat_252 marker with amount of charcoal rot disease, Satt359, Satt190 and Sat_169 markers with number of microsclerota in stem, amount of charcoal rot disease and severity of charcoal rot disease, Sat_416 marker with number of microsclerota in stem and amount of charcoal rot disease and the Satt460 marker with number of microsclerota in stem and severity of charcoal rot disease. The results of this research and the linked microsatellite markers with the charcoal rot disease-related characteristics can be used to identify the suitable parents and to improve the soybean population in future breeding programs.

Keywords

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Fig. 2. Bayesian model based cluster analysis for 130 different soybean genotypes using 31 microsatellite loci (K=3). Each color indicate one sub-population or cluster. Vertical axis show the membership coefficient of each genotype into clusters.

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Fig. 3. Linkage disequilibrium plot (LD plot). Diameter upper and lower are indicating linkage disequilibrium and p-value for each pair of marker, respectively.

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Fig. 1. Bilateral charts for determining the number of sub-populations in the studied soybean genotypes (K=3) based on microsatellite markers.

Table 1. Soybean genotypes evaluated to charcoal rot disease (Macrophomina phaseolina) in field conditions in this research

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Table 2. Characteristics of the studied microsatellite markers in this research

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Table 3. Minimum, maximum, mean ± standard deviation (SD), range and phenotypic coefficient of variation of the measured traits in the 130 soybean genotypes studied in this research

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Table 4. Microsatellite markers linked to evaluated traits in the studied soybean population using the association mapping based on GLM and MLM models

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Table 1. Continued

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