Identification of QTLs for resistance to maize rough dwarf disease using two connected RIL populations in maize

PLoS One. 2019 Dec 17;14(12):e0226700. doi: 10.1371/journal.pone.0226700. eCollection 2019.

Abstract

Maize rough dwarf disease (MRDD) is a significant viral disease caused by rice black-streaked dwarf virus (RBSDV) in China, which results in 30% yield losses in affected summer maize-growing areas. In this study, two connected recombinant inbred line (RIL) populations were constructed to elucidate the genetic basis of resistance during two crop seasons. Ten quantitative trait loci (QTLs) for resistance to MRDD were detected in the two RILs. Individual QTLs accounted for 4.97-23.37% of the phenotypic variance explained (PVE). The resistance QTL (qZD-MRDD8-1) with the largest effect was located in chromosome bin 8.03, representing 16.27-23.37% of the PVE across two environments. Interestingly, one pair of common significant QTLs was located in the similar region on chromosome 4 in both populations, accounting for 7.11-9.01% of the PVE in Zheng58×D863F (RIL-ZD) and 9.43-13.06% in Zheng58×ZS301 (RIL-ZZ). A total of five QTLs for MRDD resistance trait showed significant QTL-by-Environment interactions (QEI). Two candidate genes associated with resistance (GDSL-lipase and RPP13-like gene) which were higher expressed in resistant inbred line D863F than in susceptible inbred line Zheng58, were located in the physical intervals of the major QTLs on chromosomes 4 and 8, respectively. The identified QTLs will be studied further for application in marker-assisted breeding in maize genetic improvement of MRDD resistance.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Chromosomes, Plant
  • Disease Resistance / genetics*
  • Genes, Plant
  • Plant Diseases / virology*
  • Plant Viruses
  • Quantitative Trait Loci / genetics*
  • Quantitative Trait Loci / immunology
  • Zea mays / genetics*
  • Zea mays / immunology

Supplementary concepts

  • Rice black streaked dwarf virus

Grants and funding

This work was supported by the Henan Major Science and Technology Project (161100110500), Special Fund for Scientific Research and Development of Henan Academy of Agricultural Sciences (ynk20177504, 2018YQ30) and Key Scientific and Technological Project of Henan Province (192102110026) to XW. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.