Literature DB >> 30694137

Population Structure Among and Within Iowa, Missouri, Ohio, and South Dakota Populations of Phytophthora sojae.

S Stewart1, A E Robertson1, D Wickramasinghe2, M A Draper3, A Michel4, A E Dorrance5.   

Abstract

Phytophthora root and stem rot, caused by Phytophthora sojae, is an economically important disease of soybean throughout the Midwestern United States. This disease has been successfully managed with resistance (Rps) genes; however, pathogen populations throughout the Midwest have developed virulence to many Rps genes, including those that have not been deployed. To gain a better understanding of the processes that influence P. sojae evolution, the population genetic structure was compared among populations using one isolate collected from 17, 33, and 20 fields in Iowa, Ohio, and South Dakota, respectively, as well as multiple isolates from individual fields in Iowa, Ohio, and Missouri. Genotypic diversity was measured using 21 polymorphic microsatellite (simple-sequence repeat) markers. and pathotype diversity using 15 soybean differentials. For all but three of the populations with low sample size, there was a high level of pathotype diversity and a low to moderate level of genotypic diversity among the populations for both comparisons between states and within-field variation. None of the Rps-gene differentials were resistant to all of the isolates. There were 103 unique multilocus genotypes identified in this study and only 2 were identified from the same field. Although no clones were identified in more than one field, pairwise FST indicated that some gene flow within neighboring fields does occur but not across the region, including fields from neighboring states. These results suggest that there is a strong probability that each state may have their own or several regional populations, as well as provide further evidence of high diversity within this homothallic pathogen which may be due, in part, to limited gene flow, mutation, or outcrossing, and this likely affects the success of deployment of resistance.

Entities:  

Year:  2015        PMID: 30694137     DOI: 10.1094/PDIS-04-15-0437-RE

Source DB:  PubMed          Journal:  Plant Dis        ISSN: 0191-2917            Impact factor:   4.438


  5 in total

1.  Identification of Candidate Genes for a Major Quantitative Disease Resistance Locus From Soybean PI 427105B for Resistance to Phytophthora sojae.

Authors:  Stephanie Karhoff; Christian Vargas-Garcia; Sungwoo Lee; M A Rouf Mian; Michelle A Graham; Anne E Dorrance; Leah K McHale
Journal:  Front Plant Sci       Date:  2022-06-14       Impact factor: 6.627

2.  Global invasion history of the emerging plant pathogen Phytophthora multivora.

Authors:  Tetyana Tsykun; Simone Prospero; Corine N Schoebel; Alexander Rea; Treena I Burgess
Journal:  BMC Genomics       Date:  2022-02-22       Impact factor: 3.969

3.  Comparative Genome Analysis Across 128 Phytophthora Isolates Reveal Species-Specific Microsatellite Distribution and Localized Evolution of Compartmentalized Genomes.

Authors:  Kajal Mandal; Subhajeet Dutta; Aditya Upadhyay; Arijit Panda; Sucheta Tripathy
Journal:  Front Microbiol       Date:  2022-03-16       Impact factor: 5.640

4.  Genotyping by sequencing suggests overwintering of Peronospora destructor in southwestern Québec, Canada.

Authors:  Hervé Van der Heyden; Pierre Dutilleul; Marc-Olivier Duceppe; Guillaume J Bilodeau; Jean-Benoît Charron; Odile Carisse
Journal:  Mol Plant Pathol       Date:  2021-12-17       Impact factor: 5.663

5.  Genome-wide association analyses of quantitative disease resistance in diverse sets of soybean [Glycine max (L.) Merr.] plant introductions.

Authors:  William Rolling; Rhiannon Lake; Anne E Dorrance; Leah K McHale
Journal:  PLoS One       Date:  2020-03-20       Impact factor: 3.240

  5 in total

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