Variation in the internal transcribed spacer region of phakopsora pachyrhizi and implications for molecular diagnostic assays

Tomas Allen Rush, Jacob Golan, Alistair McTaggart, Cade Kane, R. W. Schneider, M. Catherine Aime, M. Catherine Aime

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Phakopsora pachyrhizi, the causal agent of soybean rust (SBR), is a global threat to soybean production. Since the discovery of SBR in the continental United States, quantitative polymerase chain reaction assays based on the internal transcribed spacer (ITS) ribosomal DNA locus were established for its rapid detection. However, insufficient data were initially available to test assays against factors that could give rise to misidentification. This study aimed to reevaluate current assays for (i) the potential for false-positive detection caused by nontarget Phakopsora species and (ii) the potential for false-negative detection caused by intraspecific variation within the ITS locus of P. pachyrhizi. A large amount of intraspecific and intragenomic variation in ITS was detected, including the presence of polymorphic ITS copies within single leaf samples and within single rust sori. The diagnostic assays were not affected by polymorphisms in the ITS region; however, current assays are at risk of false positives when screened against other species of Phakopsora. This study raises caveats to the use of multicopy genes (e.g., ITS) in single-gene detection assays and discusses the pitfalls of inferences concerning the aerobiological pathways of disease spread made in the absence of an evaluation of intragenomic ITS heterogeneity.

Original languageEnglish
Pages (from-to)2237-2245
Number of pages9
JournalPlant Disease
Volume103
Issue number9
DOIs
StatePublished - Sep 2019

Funding

Funding: This research was supported by the United Soybean Board, U.S. Department of Agriculture (USDA) Animal and Plant Health Inspection Service, Louisiana Board of Regents, National Science Foundation grants NSF-DBI-1458290 and NSF-DBI-1502887, and USDA-Hatch grant 1010662 to M. C. Aime.

Keywords

  • DNA barcoding
  • Disease forecasting
  • IPM-PIPE
  • Pucciniales
  • Uredinales

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