Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1024691 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR26301033_1.fastq.gz | Fastqsanger.gz | |||
| SRR26301033_2.fastq.gz | Fastqsanger.gz | |||
| SRR26301034_1.fastq.gz | Fastqsanger.gz | |||
| SRR26301034_2.fastq.gz | Fastqsanger.gz | |||
| SRR26301035_1.fastq.gz | Fastqsanger.gz |
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Project description:Chinese soybean (Glycine max (L.) Merr.) cultivars Rsmv1 and Ssmv1 were used for soybean mosaic virus (SMV) resistance genes screening. The Rsmv1 cultivar was highly-resistant to SMV but the Ssmv1 cultivar was highly-susceptible. We used microarrays to detail the global programme of gene expression underlying SMV inoculation and identified distinct expression genes between Rsmv1 and Ssmv1.
2016-11-23 | GSE90448 | GEO
Project description:Wheat streak mosaic virus (WSMV) and Triticum mosaic virus (TriMV) are type members of Tritimovirus and Poacevirus genera, respectively, in the family Potyviridae, and are transmitted by wheat curl mites. Co-infection of these two viruses causes synergistic interaction with increased virus accumulation and disease severity in wheat. In this study, we examined the effects of synergistic interaction between WSMV and TriMV on endogenous small (s) RNAs and virus-specific small interfering RNAs (vsiRNAs) in susceptible (Arapahoe) and temperature-sensitive resistant (Mace) wheat cultivars at 27C and 18C. Single- and double-infections in wheat caused a shift in the profile of endogenous sRNAs from 24 nt being the most predominant in healthy plants to 21 nt in infected wheat. Additionally, we report high-resolution vsiRNA maps of WSMV and TriMV in singly- and doubly-infected wheat cultivars Arapahoe and Mace at 18C and 27C. Massive amounts of 21 and 22 nt vsiRNA reads were accumulated in Arapahoe at both temperatures and in Mace at 27C but not at 18C. The plus- and minus-sense vsiRNAs were distributed throughout the genomic RNAs in Arapahoe at both temperature regimens and in Mace at 27C, although some regions of genomic RNAs serve as hot-spots with an excessive number of vsiRNAs. The positions of vsiRNA peaks were conserved among wheat cultivars Arapahoe and Mace, suggesting that Dicer-like enzymes of susceptible and resistant wheat cultivars are similarly accessed the genomic RNAs of WSMV and TriMV. Additionally, several cold-spot regions were found in the genomes of TriMV and WSMV with no or a few vsiRNAs, indicating that certain regions of WSMV and TriMV genomes are not accessible to Dicer-like enzymes. The high-resolution map of endogenous and vsiRNAs from wheat cultivars synergistically infected with WSMV and TriMV at two temperature regimens form a foundation for understanding the virus-host interactions, effect of synergistic interactions on host defense mechanisms, and virus resistance mechanisms in wheat. Small RNA was sequenced from two wheat cultivars (Mace and Araphahoe), at two temperatures 18C and 27C, for healthy (control/uninfected), infected with wheat streak mosaic virus (WSMV), infected with Triticum mosaic virus (TriMV), and a double-infecttion of WSMV and TriMV.
2014-12-01 | E-GEOD-54026 | biostudies-arrayexpress
Project description:Wheat streak mosaic virus (WSMV) and Triticum mosaic virus (TriMV) are type members of Tritimovirus and Poacevirus genera, respectively, in the family Potyviridae, and are transmitted by wheat curl mites. Co-infection of these two viruses causes synergistic interaction with increased virus accumulation and disease severity in wheat. In this study, we examined the effects of synergistic interaction between WSMV and TriMV on endogenous small (s) RNAs and virus-specific small interfering RNAs (vsiRNAs) in susceptible (Arapahoe) and temperature-sensitive resistant (Mace) wheat cultivars at 27ºC and 18ºC. Single- and double-infections in wheat caused a shift in the profile of endogenous sRNAs from 24 nt being the most predominant in healthy plants to 21 nt in infected wheat. Additionally, we report high-resolution vsiRNA maps of WSMV and TriMV in singly- and doubly-infected wheat cultivars Arapahoe and Mace at 18ºC and 27ºC. Massive amounts of 21 and 22 nt vsiRNA reads were accumulated in Arapahoe at both temperatures and in Mace at 27ºC but not at 18ºC. The plus- and minus-sense vsiRNAs were distributed throughout the genomic RNAs in Arapahoe at both temperature regimens and in Mace at 27ºC, although some regions of genomic RNAs serve as hot-spots with an excessive number of vsiRNAs. The positions of vsiRNA peaks were conserved among wheat cultivars Arapahoe and Mace, suggesting that Dicer-like enzymes of susceptible and resistant wheat cultivars are similarly accessed the genomic RNAs of WSMV and TriMV. Additionally, several cold-spot regions were found in the genomes of TriMV and WSMV with no or a few vsiRNAs, indicating that certain regions of WSMV and TriMV genomes are not accessible to Dicer-like enzymes. The high-resolution map of endogenous and vsiRNAs from wheat cultivars synergistically infected with WSMV and TriMV at two temperature regimens form a foundation for understanding the virus-host interactions, effect of synergistic interactions on host defense mechanisms, and virus resistance mechanisms in wheat.
2014-12-01 | GSE54026 | GEO
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2011-07-31 | E-GEOD-27612 | biostudies-arrayexpress
Project description:Soybean aphids are phloem-feeding pests that can cause significant yield losses in soybean plants. Soybean aphids thrive on susceptible soybean lines but not on resistant lines. We used microarrays to characterize the soybean plant's transcriptional defense against aphids in two related cultivars, a susceptible line and a resistant line with the Rag1 aphid-resistance gene. We measured trancript levels in leaves after one and seven days of aphid infestation.
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Project description:To identify peanut Aspergillus-interactive and Aspergillus-resistance genes, we carried out a large scale peanut Expressed Sequence Tag (EST) project followed by a peanut microarray study. For expression profiling, resistant and susceptible peanut cultivars were infected with a mixture of Aspergillus flavus and parasiticus spores. Microarray analysis identified 65 and 1 genes in resistant (C20) and susceptible (TF) cultivars, respectively, that were up-regulated in response to Aspergillus infection. In addition we identified 40 putative Aspergillus-resistance genes that were constitutively up-expressed in the resistant cultivar in comparison to the susceptible cultivar. Some of these genes were homologous to peanut, corn, and soybean genes previously shown to confer resistance to fungal infection. These results provide a comprehensive genome-scale platform for future studies focused on developing Aspergillus-resistant peanut cultivars through conventional breeding, marker-assisted breeding, or biotechnological methods by gene manipulation.
2011-08-01 | GSE27612 | GEO
Project description:Soybean aphids are phloem-feeding pests that can cause significant yield losses in soybean plants. Soybean aphids thrive on susceptible soybean lines but not on resistant lines. Aphids do not normally kill their host and colonize plants for long periods of time, up to several months in soybean. However, our knowledge of plant responses to long-term aphid colonization is very limited. We used microarrays to characterize the soybean plant's transcriptional response against aphids in two related cultivars, a susceptible line and a resistant line with the Rag1 aphid-resistance gene. We measured transcript levels in leaves after 21 days of aphid infestation.
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Project description:Gene expression profiles in the bacterial pustule-resistant soybean cultivars To investigate the differential action between resistance and susceptible cultivars, we examined genome wide expression levels at five time points after X. axonopodis pv. Glycines (Xag) inoculation using microarray.
2014-01-23 | E-GEOD-54281 | biostudies-arrayexpress
Project description:Purpose: Soybean aphid (Aphis glycines Matsumura; SBA) is major pest of soybean (Glycine max) in the United States of America. One previous study on soybean, soybean-aphid interactions showed that avirulent (biotype 1) and virulent (biotype 2) biotypes can co-occur and potentially interact on resistant and susceptible soybean resulting induced susceptibility. The main objective of this research was to employ RNA sequencing technique to characterize the induced susceptibility effect in which initial feeding by virulent aphids can increase the suitability of avirulent aphids in both susceptible and resistant cultivars. Methods: The data in this submission come from the green house experiment using two genotypes of soybean: susceptible soybean cultivar was LD12-15838R and the resistant cultivar was LD12-15813Ra (with Rag1 gene) and two aphid populations: biotype 1 (avirulent) and biotype 2 (virulent biotype 2). RNA was extracted from the leave samples from resistant and susceptible cultivars treated with no aphids, biotype 2: biotype1 collected at day 1 and no aphids, biotype 2: biotype1 and no aphids: biotype1 at day 11 using PureLink RNA mini kit (Invitrogen, USA). RNA samples were treated with TURBOTM DNase (Invitrogen, USA) to remove any DNA contamination following the manufacturer’s instructions. Assessment of the isolated RNA integrity was performed by 1% agarose gel electrophoresis, and RNA concentration was measured by Nanodrop 2000 (Thermo Fisher Scientific, USA). Three replicates from these treatments in resistant and susceptible cultivars were pooled in equimolar concentration. RNAseq library construction was prepared using Illumina’s TruSeq Stranded mRNA Kit v1 (San Diego, CA). The libraries were quantified by QuBit dsDNA HS Assay (Life Technologies, Carlsbad, CA) and pooled in equimolar concentrations. The libraries were sequenced on an Illumina NextSeq 500 using a NextSeq 500/550 High Output Reagent Cartridge v2 (San Diego, CA) at 75 cycles. Results: A total of 10 RNA libraries were prepared and sequenced with the sequencing depth ranging from 24,779,816 to 29,72,4913. Total reads of 266,535,654 were subjected to FastQC analysis to determine the data quality using various quality metrics such as mean quality scores, per sequence quality scores, per sequence GC content, and sequence length distribution. The phred quality scores per base for all the samples were higher than 30. The GC content ranged from 45 to 46% and followed the normal distribution. After trimming, more than 99% of the reads were retained as the clean and good quality reads. Upon mapping these reads, we obtained high mapping rate ranging from 90.4% to 92.9%. Among the mapped reads, 85.8% to 91.9% reads were uniquely mapped. Conclusions: The objective of this study is to characterize the mechanism of induced susceptibility in soybean via transcriptional response study of soybean in presence of biotype 1 and biotype 2 soybean aphids using RNA-Seq. The data resulted from this study might provide insights into the interactions between soybean and soybean aphids and identify genes, their regulation and enriched pathways that may be associated with resistance or susceptibility to A. glycines.
2019-04-26 | GSE129626 | GEO