Proteomic Analysis by iTRAQ-MRM of Soybean Resistance to Lamprosema Indicate
Ontology highlight
ABSTRACT:
INSTRUMENT(S): TripleTOF 5600
ORGANISM(S): Glycine Max
TISSUE(S): Leaf
SUBMITTER: 
weiying zeng
LAB HEAD: weiying zeng
PROVIDER: PXD004953 | Pride | 2018-10-26
REPOSITORIES: Pride
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Glycine_max_all.dat | Other | |||
| Glycine_max_all.mgf.gz | Mgf | |||
| Rawdata_1.tar.gz | Other | |||
| Rawdata_2.tar.gz | Other | |||
| Rawdata_3.tar.gz | Other |
Items per page: 5 1 - 5 of 8 |
Publications
Proteomic analysis by iTRAQ-MRM of soybean resistance to Lamprosema Indicate.
Zeng Weiying W Sun Zudong Z Cai Zhaoyan Z Chen Huaizhu H Lai Zhenguang Z Yang Shouzhen S Tang Xiangmin X
BMC genomics 20170606 1
<h4>Background</h4>Lamprosema indicate is a major leaf feeding insect pest to soybean, which has caused serious yield losses in central and southern China. To explore the defense mechanisms of soybean resistance to Lamprosema indicate, a highly resistant line (Gantai-2-2) and a highly susceptible line (Wan 82-178) were exposed to Lamprosema indicate larval feedings for 0 h and 48 h, and the differential proteomic analyses of these two lines were carried out.<h4>Results</h4>The results showed tha ...[more]
Similar Datasets
Project description:BackgroundLamprosema indicate is a major leaf feeding insect pest to soybean, which has caused serious yield losses in central and southern China. To explore the defense mechanisms of soybean resistance to Lamprosema indicate, a highly resistant line (Gantai-2-2) and a highly susceptible line (Wan 82-178) were exposed to Lamprosema indicate larval feedings for 0 h and 48 h, and the differential proteomic analyses of these two lines were carried out.ResultsThe results showed that 31 differentially expressed proteins (DEPs) were identified in the Gantai-2-2 when comparing 48 h feeding with 0 h feeding, and 53 DEPs were identified in the Wan 82-178. 28 DEPs were identified when comparing Gantai-2-2 with Wan 82-178 at 0 h feeding. The bioinformatic analysis results showed that most of the DEPs were associated with ribosome, linoleic acid metabolism, flavonoid biosynthesis, phenylpropanoid biosynthesis, peroxisome, stilbenoid, diarylheptanoid and gingerol biosynthesis, glutathione metabolism, pant hormone signal transduction, and flavone and flavonol biosynthesis, as well as other resistance related metabolic pathways. The MRM analysis showed that the iTRAQ results were reliable.ConclusionsAccording to the analysis of the DEPs results, the soybean defended or resisted the Lamprosema indicate damage by the induction of a synthesis of anti-digestive proteins which inhibit the growth and development of insects, reactive oxygen species scavenging, signaling pathways, secondary metabolites synthesis, and so on.
| S-EPMC5461738 | biostudies-literature
Project description:Methodologies for untargeted metabolomic profiling using liquid chromatography-mass spectrometry (LC-MS) were developed and applied to lipid-depleted methanolic extracts of soybeans seeds obtained from four near isogenic soybean lines (NILs) that differed in phytate content. The four lines differed in mutations for genes encoding two highly homologous multi-drug resistant proteins (MRPs). The double mutant exhibited the low phytate/emergence phenotype whereas the other three NILs, namely the two single mutants and the wild type, did not. Lipid-depleted aqueous methanol extracts were analyzed by orthogonal chromatographic separations (reversed-phase and hydrophilic interaction) in both positive and negative ionization modes. Principal component analysis (PCA) of the LC-MS data clearly separated the low phytate line from the other three, with the major metabolite differences residing in the soyasaponin composition. Group A soyasaponins containing C22-terminated acetylated glucosides were of much lower concentration in the low phytate line, which favored terminally acetylated xyloside-based soyasaponins (soyasaponin A4, A5 and A6). Differing levels of the allergen Gly m 1 were also detected.
2016-02-04 | MTBLS120 | MetaboLights
Project description:Research conducted, including the rationale: Weeds reduce yield in soybeans through incompletely defined mechanisms. The effects of weeds on the soybean transcriptome were evaluated in field conditions during four separate gR1.fastqing seasons. Methods: RNASeq data were collected from 6 biological samples of soybeans gR1.fastqing with or without weeds. Weed species and the methods to maintain weed free controls varied between years to mitigate treatment effects and to allow detection of general soybeans weed responses. Key results: Soybean plants were not visibly nutrient or water stressed. We identified 55 consistently down-regulated genes in weedy plots. Many of the down-regulated genes were heat shock genes. Fourteen genes were consistently up-regulated. Several transcription factors including a PHYTOCHROME INTERACTING FACTOR 3-like gene (PIF3) were included among the up-regulated genes. Gene set enrichment analysis indicated roles for increased oxidative stress and jasmonic acid signaling responses during weed stress. Main conclusion: The relationship of this weed-induced PIF3 gene to genes involved in shade avoidance responses in arabidopsis provide evidence that this gene may be important in the response of soybean to weeds. These results suggest the weed-induced PIF3 gene will be a target for manipulating weed tolerance in soybean.
2021-03-23 | GSE59875 | GEO
Project description:Purpose: The goals of this study are to identify what gene GmRAV1 was related to. RNA-Sequencing experiments were designed between GmRAV1-ox soybeans and DN50 soybeans. Methods: Leaves mRNA of 30-day-old DN50 and GmRAV1-ox soybeans were used by RNA sequencing using Illumina HiSeqTM2000. The sequence reads that passed quality filters were analyzed at the transcript isoform level with TopHat followed by Cufflinks. Genome_build: Glycine max Wm82.a2.v1 Results: RNA-seq data confirmed that there are 1467 genes with significant differences. Some genes expression of cytokinin and auxin signaling pathways is dramatically changed, such as GmARR9, GmAUX22, GmPIN1, GmCycD3 and GmPDV2. Conclusions: GmRAV1 are related to cytokinin and auxin signaling pathways.
2018-12-30 | GSE103490 | GEO
Project description:Research conducted, including the rationale: Weeds reduce yield in soybeans through incompletely defined mechanisms. The effects of weeds on the soybean transcriptome were evaluated in field conditions during four separate gR1.fastqing seasons. Methods: RNASeq data were collected from 6 biological samples of soybeans gR1.fastqing with or without weeds. Weed species and the methods to maintain weed free controls varied between years to mitigate treatment effects and to allow detection of general soybeans weed responses. Key results: Soybean plants were not visibly nutrient or water stressed. We identified 55 consistently down-regulated genes in weedy plots. Many of the down-regulated genes were heat shock genes. Fourteen genes were consistently up-regulated. Several transcription factors including a PHYTOCHROME INTERACTING FACTOR 3-like gene (PIF3) were included among the up-regulated genes. Gene set enrichment analysis indicated roles for increased oxidative stress and jasmonic acid signaling responses during weed stress. Main conclusion: The relationship of this weed-induced PIF3 gene to genes involved in shade avoidance responses in arabidopsis provide evidence that this gene may be important in the response of soybean to weeds. These results suggest the weed-induced PIF3 gene will be a target for manipulating weed tolerance in soybean. Samples were collected from two treatments ("Control" and "Weedy") with six biological replicates (2008, 2009, and twop each for 2010 and 2011) for each treatment.
2014-07-30 | E-GEOD-59875 | biostudies-arrayexpress
Project description:3 samples, 2 reps each. comparison of wildtype cotyledon to RNAioleosin transgenic Using RNAi, the seed oil body protein 24-kDa oleosin has been suppressed in transgenic soybeans. The endoplasmic reticulum (ER) forms micro-oil bodies about 50 nm in diameter that coalesce with adjacent oil bodies forming a hierarchy of oil body sizes. The oil bodies in the oleosin knockdown form large oil body-ER complexes with the interior dominated by micro-oil bodies and intermediate-sized oil bodies, while the peripheral areas of the complex are dominated by large oil bodies. The complex merges to form giant oil bodies with onset of seed dormancy that disrupts cell structure. The transcriptome of the oleosin knockdown shows few changes compared to wild-type. Proteomic analysis of the isolated oil bodies of the 24-kDa oleosin knockdown shows the absence of the 24-kDa oleosin and the presence of abundant caleosin and lipoxygenase. The formation of the micro-oil bodies in the oleosin knockdown is interpreted to indicate a function of the oleosin as a surfactant.
2008-08-15 | GSE12300 | GEO
Project description:Atrazine and bentazon are both photosystem II inhibiting herbicides that interfere with photosynthetic electron transport provoking oxidative stress. While atrazine is lethal to soybean, bentazon does not kill soybeans because of the capability of soybeans to metabolize the herbicide. Gene expression profiling was conducted using cDNA microarrays to understand the responses of soybeans to PSII interruption and concomitant oxidative stress caused by atrazine and bentazon by monitoring expression at 1, 2, 4, and 8 h after treatment (HAT). The microarray study revealed that 6,646 genes were differentially expressed with high statistical significance over the experiment with 88% of them sharing similar expression pattern between the atrazine and bentazon treatments. Many genes related to xenobiotic detoxification and antioxidation such as cytochrome P450s, glutathione-S-transferases, superoxide dismutases, catalases and tocopheral cyclases were induced by the herbicides. The study also discovered plants treated with bentazon started to recover between 4 HAT and 8 HAT as reflected in the decreased amplitude of fold changes of most genes from 4 to 8 HAT. The 12% of the genes that were differentially expressed between atrazine and bentazon were largely related to cell recovery, such as genes related to ribosomal components. Keywords = stress Keywords = GST Keywords = ROS Keywords = D1 protein Keywords = Fuzzy k-means Keywords = plant Keywords: plant xenobiotic interaction loop design, 12 direct comparisons, 2 technical repeats including dye swaps, 3 biological repeats
2010-03-23 | E-GEOD-15375 | biostudies-arrayexpress
Project description:Atrazine and bentazon are both photosystem II inhibiting herbicides that interfere with photosynthetic electron transport provoking oxidative stress. While atrazine is lethal to soybean, bentazon does not kill soybeans because of the capability of soybeans to metabolize the herbicide. Gene expression profiling was conducted using cDNA microarrays to understand the responses of soybeans to PSII interruption and concomitant oxidative stress caused by atrazine and bentazon by monitoring expression at 1, 2, 4, and 8 h after treatment (HAT). The microarray study revealed that 6,646 genes were differentially expressed with high statistical significance over the experiment with 88% of them sharing similar expression pattern between the atrazine and bentazon treatments. Many genes related to xenobiotic detoxification and antioxidation such as cytochrome P450s, glutathione-S-transferases, superoxide dismutases, catalases and tocopheral cyclases were induced by the herbicides. The study also discovered plants treated with bentazon started to recover between 4 HAT and 8 HAT as reflected in the decreased amplitude of fold changes of most genes from 4 to 8 HAT. The 12% of the genes that were differentially expressed between atrazine and bentazon were largely related to cell recovery, such as genes related to ribosomal components. Keywords = stress Keywords = GST Keywords = ROS Keywords = D1 protein Keywords = Fuzzy k-means Keywords = plant Keywords: plant xenobiotic interaction loop design, 12 direct comparisons, 2 technical repeats including dye swaps, 3 biological repeats
2010-03-23 | E-GEOD-15374 | biostudies-arrayexpress
Project description:Atrazine and bentazon are both photosystem II inhibiting herbicides that interfere with photosynthetic electron transport provoking oxidative stress. While atrazine is lethal to soybean, bentazon does not kill soybeans because of the capability of soybeans to metabolize the herbicide. Gene expression profiling was conducted using cDNA microarrays to understand the responses of soybeans to PSII interruption and concomitant oxidative stress caused by atrazine and bentazon by monitoring expression at 1, 2, 4, and 8 h after treatment (HAT). The microarray study revealed that 6,646 genes were differentially expressed with high statistical significance over the experiment with 88% of them sharing similar expression pattern between the atrazine and bentazon treatments. Many genes related to xenobiotic detoxification and antioxidation such as cytochrome P450s, glutathione-S-transferases, superoxide dismutases, catalases and tocopheral cyclases were induced by the herbicides. The study also discovered plants treated with bentazon started to recover between 4 HAT and 8 HAT as reflected in the decreased amplitude of fold changes of most genes from 4 to 8 HAT. The 12% of the genes that were differentially expressed between atrazine and bentazon were largely related to cell recovery, such as genes related to ribosomal components. Keywords = stress Keywords = GST Keywords = ROS Keywords = D1 protein Keywords = Fuzzy k-means Keywords = plant Keywords: plant xenobiotic interaction
2010-03-24 | GSE15374 | GEO
Project description:Atrazine and bentazon are both photosystem II inhibiting herbicides that interfere with photosynthetic electron transport provoking oxidative stress. While atrazine is lethal to soybean, bentazon does not kill soybeans because of the capability of soybeans to metabolize the herbicide. Gene expression profiling was conducted using cDNA microarrays to understand the responses of soybeans to PSII interruption and concomitant oxidative stress caused by atrazine and bentazon by monitoring expression at 1, 2, 4, and 8 h after treatment (HAT). The microarray study revealed that 6,646 genes were differentially expressed with high statistical significance over the experiment with 88% of them sharing similar expression pattern between the atrazine and bentazon treatments. Many genes related to xenobiotic detoxification and antioxidation such as cytochrome P450s, glutathione-S-transferases, superoxide dismutases, catalases and tocopheral cyclases were induced by the herbicides. The study also discovered plants treated with bentazon started to recover between 4 HAT and 8 HAT as reflected in the decreased amplitude of fold changes of most genes from 4 to 8 HAT. The 12% of the genes that were differentially expressed between atrazine and bentazon were largely related to cell recovery, such as genes related to ribosomal components. Keywords = stress Keywords = GST Keywords = ROS Keywords = D1 protein Keywords = Fuzzy k-means Keywords = plant Keywords: plant xenobiotic interaction
2010-03-24 | GSE15375 | GEO