Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transgenic soybeans (Glycine max) secreting Phosphoinositide-3-phosphate binding proteins show enhanced resistance to oomycete pathogen Phytophthora sojae

ABSTRACT: We created stable transgenic soybean plants that express and secrete two different PI3P-binding proteins, GmPH1 and VAM7, in an effort to interfere with effector delivery and confer resistance. Soybean plants expressing the two PI3P-binding proteins exhibited reduced infection by the oomycete pathogen Phytophthora sojae compared to control lines. Measurements of nodulation by nitrogen-fixing mutualistic bacterium Bradyrhizobium japonicum, which does not produce PI3P, revealed that the two lines with the highest levels of GmPH1 transcripts exhibited reductions in nodulation and in benefits from nodulation. Transcriptome and plant hormone measurements were made of soybean lines with the highest transcript levels of GmPH1 and VAM7, as well as controls, following P. sojae- or mock-inoculation. The results revealed increased levels of infection-associated transcripts in the transgenic lines, compared to controls, even prior to P. sojae infection, suggesting that the plants were primed for increased defense.

ORGANISM(S): Glycine max

PROVIDER: GSE201739 | GEO | 2022/07/07

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Phytophthora sojae, race 2, infection of soybean hypocotyls

Project description:Examination of soybean hypocotyls, G. max cv. Harosoy (Rps7), at 3, 6, 12, 24 and 48 hours after inoculation with P. sojae, race 2, isolate P6497 Patterns of Gene Expression Upon Infection of Soybean Plants by Phytophthora sojae. P. Moy, D. Qutob, B. P. Chapman, I. Atkinson, and M. Gijzen. Pages 1051-1062. Publication no. M-2004-0728-01R. Molecular Plant-Microbe Interactions, October 2004, Volume 17, Number 10. Keywords: time-course

2004-09-14 | GSE1352 | GEO

Combined gene expression and QTL analysis of soybean quantitative resistance to Phytophthora sojae

Project description:To identify soybean genes and QTLs associated with quantitative resistance to infection by the oomycete pathogen Phytophthora sojae, we conducted a very large-scale microarray experiment using 2522 Affymetrix GeneChips. The experiment involved assaying a total of 298 soybean recombinant inbred lines together with internal checks.

2008-05-30 | GSE11611 | GEO

Plant and pathogen gene expression during infection by P.sojae of 8 soybean cultivars varying in quantitative resistance

2007-11-09 | GSE7124 | GEO

Transcription profiling of P.sojae and soybean cultivars varying in quantitative resistance during infection with P.sojae

Project description:Identify plant and pathogen genes differentially expressed during P. sojae infection of soybean cultivars differing in quantitative resistance, by using Affymetrix Soybean Genome Array analysis. Experiment Overall Design: RNA samples from mock-inoculated soybean tissue contain 2%-16% spike-in RNA from Phytophthora sojae mycelium grown in liquid sucrose-salts medium. Experiment Overall Design: 4 Experimental Replicates x 8 cultivars x 2 Treatments (inoculated or mock) x 2 Timepoints (72hr or 120hr) = 128 samples in total

2008-06-15 | E-GEOD-7124 | biostudies-arrayexpress

CGH: Transgenic soybeans and controls

Project description:Transgenic soybean lines were compared to their parental lines by CGH to catalog structurally variant (e.g. deletion and duplication) regions among these genotypes. The CGH comparisons reveal reveal putative deletions and duplications among the 5 lines.

2015-09-30 | GSE73596 | GEO

RNA-seq data of soybean SKRP1 and AVR3C

Project description:The process of RNA splicing influences many physiological processes including plant immunity. However, how plant parasites manipulate host RNA splicing process remains unknown. Here we demonstrate that PsAvr3c, an avirulence effector from oomycete plant pathogen Phytophthora sojae, physically binds to and stabilizes soybean (Glycine max) serine/lysine/arginine rich proteins GmSKRPs in vivo. The SKRPs are novel proteins that associate with spliceosome components, and are negative regulators of plant immunity. Analysis by RNA-seq data indicates that alternative splicing of pre-mRNAs from 401 soybean genes, including defense related genes, is altered in GmSKRP1 and PsAvr3c over-expressing lines compared to control plants. Representative splicing events mediated by GmSKRP1 and PsAvr3c are tested by infection assays or by transient expression in soybean plants. Our results show that a plant pathogen effector can reprogram host pre-mRNA splicing to promote disease, and we propose that pathogens evolved such strategies to defeat host immune systems.

2018-01-12 | GSE100985 | GEO

Small RNA mediated immune responses: insights from analyses of nine soybean R-gene near-isogenic lines and their susceptible parent

Project description:Small RNAs, including microRNAs (miRNAs) and small interfering RNAs (siRNAs) are negative regulators to target endogenous genes and repetitive sequences in plants. Although miRNAs and trans-acting or phased siRNAs (tasiRNAs or phasiRNAs) were found to target hundreds of disease related genes in Medicago, their role in plant-pathogen interactions in the legumes, particularly the R genes mediated interaction of soybean and the pathogen Phytophthora sojae is poorly understood. A deep sequencing was performed on nine soybean near isogenic lines (NILs) each carrying an Rps (Resistance to Phytophthora sojae) gene and their recurrent parent “Williams”, with sampling performed both pre- and post-inoculation with P. sojae. From these data, 44 known MIRNA loci with new miRNA variants, 78 novel miRNAs corresponding to 108 precursors, and 208 phasiRNA-producing (PHAS) loci were identified. Our data showed that overall the expression levels of miRNAs, phasiRNAs and siRNAs were extensively down-regulated after pathogen-inoculation. Moreover, the down-regulation levels in the nine resistant NILs were significantly higher than that detected in the susceptible Williams, and variations of small RNA expression within the resistant NILs were also observed, suggesting the molecular responses of different Rps lines are distinct. Surprisingly, the expression level changes of 21-nt phasiRNAs were significantly positively correlated with that of the corresponding mRNA level of the PHAS genes, suggesting the cascade effects of miRNA triggers on the downstream PHAS genes and phasiRNAs. Our data provided a comprehensive picture regarding small RNA based regulation of target genes, particularly NB-LRRs, involved in the responses to the pathogen. 20 samples were sequenced, 10 inoculated with P. sojae, the other 10 were mock-inoculated

2015-04-15 | E-GEOD-56859 | biostudies-arrayexpress

Molecular Analysis of Sink Limited Soybeans

Project description:Soybean plants that do not produce a sink, such as depodded or male sterile plants, exhibit physiological and morphological changes during the reproductive stages, including increased levels of nitrogen and starch in the leaves and a delayed senescence. To identify transcriptional changes that occur in leaves of sink-limited plants, we used RNAseq to compare gene expression levels in trifoliate leaves from depodded and ms6 male sterile plants and control plants. In sink-limited tissues, we observed a deferral of the expression of senescence-associated genes and a continued high expression of genes associated with the maturity phase of leaf development. We identified GO-terms associated with growth and development and storage protein in sink limited tissues. We also identified that the bHLH. ARFs, and SBP transcription factors were expressed in sink limited tissues while the senescing control leaves expressed WRKY and NAC transcription factors. We identified genes that were not expressed during normal leaf development but highly expressed in sink-limited plants, including the D4 “non-yellowing” gene. These changes highlighted several metabolic pathways that were involved in distinct modes of resource parttioning in the “stay green” leaves.

2017-07-20 | GSE85714 | GEO

Influence of elevated atmospheric carbon dioxide on transcriptional responses of Bradyrhizobium japonicum in the soybean rhizosphere

Project description:Elevated atmospheric CO2 can influence the structure and function of rhizosphere microorganisms by altering root growth and the quality and quantity of compounds released into the rhizosphere via root exudation. In these studies we investigated the transcriptional responses of Bradyrhizobium japonicum cells growing in the rhizosphere of soybean plants exposed to elevated atmospheric CO2. The results of microarray analyses indicated that atmospheric elevated CO2 concentration indirectly influences on expression of large number of Bradyrhizobium genes through soybean roots. In addition, genes involved in C1 metabolism, denitrification and FixK2-associated genes, including those involved in nitrogen fixation, microanaerobic respiration, respiratory nitrite reductase, and heme biosynthesis, were significantly up-regulated under conditions of elevated CO2 in the rhizosphere, relative to plants and bacteria grown under ambient CO2 growth conditions. The expression profile of genes involved in lipochitinoligosaccharide Nod factor biosynthesis and negative transcriptional regulators of nodulation genes, nolA and nodD2, were also influenced by plant growth under conditions of elevated CO2. Taken together, results of these studies indicate that growth of soybeans under conditions of elevated atmospheric CO2 influences gene expressions in B. japonicum in the soybean rhizosphere, resulting in changes to carbon/nitrogen metabolism, respiration, and nodulation efficiency.

2010-07-29 | GSE23296 | GEO

Saccharomyces cerevisiae transcriptome response to overexpression of the Phytophthora sojae Avh172 effector

Project description:The oomycete pathogen Phytophthora sojae causes root rot of soybean. During infection, the pathogen is thought to deliver dozens, if not hundreds, of effector proteins into the host to manipulate intracellular systems. Although these pathogen proteins often exhibit similar N-terminal delivery domains, the remaining effector region is rarely homologous to known protein domains, making it difficult to predict its biochemical function during infection. As a complement to studies in the natural host, Saccharomyces cerevisiae has been successfully used as a model system to explore the biochemical function of individual pathogen effectors. The presumption is that many effectors target conserved eukaryotic pathways in the host and consequently the expression of effectors in yeast will confer corresponding phenotypes. Indeed, putative effector functions identified using yeast functional genomic approaches have subsequently been validated in the natural host. Over-expression of the Phytophthora sojae effector Avh172 (PsAvh172) inhibits the growth of Saccharomyces cerevisiae, suggesting that the effector targets a biological pathway conserved with plants. In this study, the transcriptomes of yeast expressing PsAvh172 or an empty vector were compared to examine the global transcriptional response, in hopes of discerning the effectors biochemical target.

2021-01-01 | E-MTAB-4682 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data