Now showing items 1-3 of 3

    • Mining germplasm panels and phenotypic datasets to identify loci for resistance to Phytophthora sojae in soybean 

      Van, Kyujung; Rolling, William; Biyashev, Ruslan M.; Matthiesen, Rashelle L.; Abeysekara, Nilwala S.; Robertson, Alison E.; Veney, Deloris J.; Dorrance, Anne E.; McHale, Leah K.; Maroof, MA Saghai A. S. (Wiley, 2020-11-16)
      Phytophthora sojae causes Phytophthora root and stem rot of soybean and has been primarily managed through deployment of qualitative Resistance to P. sojae genes (Rps genes). The effectiveness of each individual or combination ...
    • Strain-level identification of bacterial tomato pathogens directly from metagenomic sequences 

      Mechan Llontop, Marco Enrique; Sharma, Parul; Aguilera Flores, Marcela; Yang, Shu; Pollock, Jill; Tian, Long; Huang, Chengjie; Rideout, Steven; Heath, Lenwood S.; Li, Song; Vinatzer, Boris A. (Scientific Societies, 2019-12-12)
      Routine strain-level identification of plant pathogens directly from symptomatic tissue could significantly improve plant disease control and prevention. Here we tested the Oxford Nanopore Technologies (ONT) MinIONTM ...
    • The transcriptional network of WRKY53 in cereals links oxidative responses to biotic and abiotic stress inputs 

      Van Eck, L.; Davidson, R. M.; Wu, S.; Zhao, B. Y.; Botha, A. M.; Leach, J. E.; Lapitan, N. L. V. (Springer, 2014-01-01)
      The transcription factor WRKY53 is expressed during biotic and abiotic stress responses in cereals, but little is currently known about its regulation, structure and downstream targets. We sequenced the wheat ortholog ...