Gross B.L.,Washington University in St. Louis |
Reagon M.,University of Massachusetts Amherst |
Hsu S.-C.,Washington University in St. Louis |
Caicedo A.L.,University of Massachusetts Amherst |
And 2 more authors.
Molecular Ecology | Year: 2010
Weedy forms of crop species infest agricultural fields worldwide and are a leading cause of crop losses, yet little is known about how these weeds evolve. Red rice (Oryza sativa), a major weed of cultivated rice fields in the US, is recognized by the dark-pigmented grain that gives it its common name. Studies using neutral molecular markers have indicated a close relationship between US red rice and domesticated rice, suggesting that the weed may have originated through reversion of domesticated rice to a feral form. We have tested this reversion hypothesis by examining molecular variation at Rc, the regulatory gene responsible for grain pigmentation differences between domesticated and wild rice. Loss-of-function mutations at Rc account for the absence of proanthocyanidin pigments in cultivated rice grains, and the major rc domestication allele has been shown to be capable of spontaneous reversion to a functional form through additional mutations at the Rc locus. Using a diverse sample of 156 weedy, domesticated and wild Oryzas, we analysed DNA sequence variation at Rc and its surrounding 4 Mb genomic region. We find that reversion of domestication alleles does not account for the pigmented grains of weed accessions; moreover, we find that haplotypes characterizing the weed are either absent or very rare in cultivated rice. Sequences from genomic regions flanking Rc are consistent with a genomic footprint of the rc selective sweep in cultivated rice, and they are compatible with a close relationship of red rice to Asian Oryzas that have never been cultivated in the US. © 2010 Blackwell Publishing Ltd.
Orshinsky A.M.,Ohio State University |
Hu J.,Ohio State University |
Opiyo S.O.,Ohio State University |
Reddyvari-Channarayappa V.,Dale Bumpers National Rice Research Center |
And 2 more authors.
PLoS ONE | Year: 2012
Sclerotinia homoeocarpa causes dollar spot disease, the predominate disease on highly-maintained turfgrass. Currently, there are major gaps in our understanding of the molecular interactions between S. homoeocarpa and creeping bentgrass. In this study, 454 sequencing technology was used in the de novo assembly of S. homoeocarpa and creeping bentgrass transcriptomes. Transcript sequence data obtained using Illumina's first generation sequencing-by-synthesis (SBS) were mapped to the transcriptome assemblies to estimate transcript representation in different SBS libraries. SBS libraries included a S. homoeocarpa culture control, a creeping bentgrass uninoculated control, and a library for creeping bentgrass inoculated with S. homoeocarpa and incubated for 96 h. A Fisher's exact test was performed to determine transcripts that were significantly different during creeping bentgrass infection with S. homoeocarpa. Fungal transcripts of interest included glycosyl hydrolases, proteases, and ABC transporters. Of particular interest were the large number of glycosyl hydrolase transcripts that target a wide range of plant cell wall compounds, corroborating the suggested wide host range and saprophytic abilities of S. homoeocarpa. Several of the multidrug resistance ABC transporters may be important for resistance to both fungicides and plant defense compounds. Creeping bentgrass transcripts of interest included germins, ubiquitin transcripts involved in proteasome degradation, and cinnamoyl reductase, which is involved in lignin production. This analysis provides an extensive overview of the S. homoeocarpa-turfgrass pathosystem and provides a starting point for the characterization of potential virulence factors and host defense responses. In particular, determination of important host defense responses may assist in the development of highly resistant creeping bentgrass varieties. © 2012 Orshinsky et al.
Jia Y.,Dale Bumpers National Rice Research Center |
Moldenhauer K.,University of Stuttgart
Journal of Plant Registrations | Year: 2010
The major blast resistance (R) genes Pi-ta, Pi-ks, Pi-kh have been effectively deployed in rice (Oryza sativa L.) in the southern USA for preventing disease caused by the predominant U.S. races of Magnaporthe oryzae Cav. [=Magnaporthe grisea (Herbert) Barr.]. In the present study, the codominant single nucleotide length polymorphism DNA marker for the Pi-ta gene, and the simple sequence repeat markers, RM144 and RM224, that cosegregate with two alleles of the Pi-k gene, Pi-ks and Pi-ks, were used for R identification in a F10 recombinant inbred line population. This population (Reg. no. MP-3, NSL 452303) was derived from the cross RU9101001/'Katy'. This population composed of 235 individual lines was jointly released on 24 Apr. 2009 by the USDA-ARS and the University of Arkansas Division of Agriculture Arkansas Agriculture Experiment Station. R gene containing RIL lines were verified with standard pathogenicity assays by means of a set of differential races of M. oryzae in the USA. One hundred eighty-two pure lines were identified from the population with the Pi-ta, Pi-ks, and Pi-kh genes. A total of 56 had Pi-ta and Pi-ks, 51 lines had Pi-ks, 27 had Pi-kh, and 48 lines had Pi-kh and Pi-ta. These monogenic and digenic rice lines with the major blast R genes are expected to be useful for studying effects of each R gene singly and in combination for their epistatic interaction with yield and for introducing blast resistance with marker assisted selection. © Crop Science Society of America.
Gealy D.R.,Dale Bumpers National Rice Research Center |
Fischer A.J.,University of California at Davis
Weed Science | Year: 2010
Assessing belowground plant competition is complex because it is very difficult to separate weed and crop roots from each other by physical methods. Alternative techniques for separating crop and weed roots from each other are needed. This article introduces a stable isotope method that can quantify the amounts of roots of rice and barnyardgrass intermixed in flooded field soils. It relies on the biological principle that rice, a C3 (photosynthetic pathway) species, discriminates more effectively than barnyardgrass, a C4 species, against a relatively rare isotopic form (13C) of CO2. This results in different 13C:12C isotope ratios (expressed as δ13C) in root tissues of the two species. δ13C values for monoculture barnyardgrass and rice grown in a standard flood-irrigated system were highly stable over 4 crop-years, averaging-13.12 ± 0.80 (SD) and-28.5 ± 0.11 (SD)‰, respectively, based on analysis by an isotope ratio mass spectrometer. Standard concentration curves relating measured δ13C values to set proportions of rice:barnyardgrass root biomass were described by linear regressions, typically with r2 values of 0.96 or greater. Quantities of intermixed rice and barnyardgrass roots sampled 0 to 5 cm deep from soil between rice rows were estimated by extrapolation from standard curves based on δ13C values. About 50 more barnyardgrass root tissue was detected in plots of Lemont long-grain rice than in weed-suppressive PI 312777 indica rice, demonstrating the feasibility of using this stable carbon isotope method in flooded rice systems. © 2010 Weed Science Society of America.
Fernandez-Pozo N.,Boyce Thompson Institute for Plant Research |
Menda N.,Boyce Thompson Institute for Plant Research |
Edwards J.D.,Dale Bumpers National Rice Research Center |
Saha S.,Boyce Thompson Institute for Plant Research |
And 10 more authors.
Nucleic Acids Research | Year: 2015
The Sol Genomics Network (SGN, http://solgenomics.net) is a web portal with genomic and phenotypic data, and analysis tools for the Solanaceae family and close relatives. SGN hosts whole genome data for an increasing number of Solanaceae family members including tomato, potato, pepper, eggplant, tobacco and Nicotiana benthamiana. The database also stores loci and phenotype data, which researchers can upload and edit with user-friendly web interfaces. Tools such as BLAST, GBrowse and JBrowse for browsing genomes, expression and map data viewers, a locus community annotation system and a QTL analysis tools are available. A new tool was recently implemented to improve Virus-Induced Gene Silencing (VIGS) constructs called the SGN VIGS tool. With the growing genomic and phenotypic data in the database, SGN is now advancing to develop new web-based breeding tools and implement the code and database structure for other species or clade-specific databases. © The Author(s) 2014.