Plant leaves
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA752526 | ENA |
REPOSITORIES: ENA
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Project description:Ginseng is an important crop in East Asia due to its medicinal and nutritional benefits originating from ingredients such as the ginsenosides. Numerous researches have been directed to cultivate ginseng with high yield especially targeting its growth and development for protection against abiotic stresses, which are affecting both the yield and quality. Particularly, salinity has been characterized as a major abiotic stressor that affects the annual yield of ginseng. Therefore, to characterize the salt-responsive proteins in the ginseng plant, ginseng leaves were harvested post-treatment with salt in a time-dependent manner. Utilizing a label-free quantitative proteome analysis approach, this study identified a total of 2,484 proteins. Among them, 468 proteins showed a significant modulation in their abundance among ginseng leaf samples at 4 different time points (0, 24, 72, 96 h) following salt stress. Further functional classification revealed that catalase-peroxidase 2, voltage-gated potassium channel subunit beta-2, fructose-1,6-bisphosphatase class 1, and chlorophyll a-b binding protein associated proteins accumulated in response to the salt stress. Of these, glycosyl hydrolase 17 (GH17) showed similar abundance profiles at both the transcript and proteome level. Therefore, for further understanding of GH17 underlying salt stress response mechanism, GH17 overexpressing transgenic Arabidopsis were generated. In response to salt stress, transgenic plants uncovered a tolerance phenotype without compromising plant growth. The proteome alterations in response to salt stress presented here resulted in identifying a protein GH17 with a potential key role in salt-stressed ginseng.
2023-03-11 | PXD038524 | Pride
Project description:Understanding the conditions that promote the evolution of reproductive isolation, and thus speciation. Here we empirically test some of the key predictions of speciation theory (Coyne 2004; Kohn 2005) by experimentally evolving the initial stages of speciation in yeast. After allowing replicate populations to adapt to two divergent environments, we observed the consistent, de novo evolution of two forms of postzygotic isolation: reduced rate of mitotic reproduction and reduced efficiency of meiotic reproduction. In general, divergent selection resulted in greater reproductive isolation than parallel selection, as predicted by ecological speciation theory. Our experimental system allowed for the first controlled comparison of the relative importance of ecological and genetic mechanisms of isolation, and the novel ability to quantify the effects of antagonistic epistasis. For mitotic reproduction, hybrid inferiority was conditional upon the selective environments and was both ecological and genetic in basis. In contrast, isolation associated with meiotic reproduction was unconditional and was caused solely by genetic mechanisms. Overall, our results show that adaption to divergent environments promotes the evolution of isolation through antagonistic epistasis, providing evidence of a plausible common avenue to speciation and adaptive radiation in nature (Schluter 2000,2001: Funk 2006) Keywords: Speciation, antagonistic epistasis, divergent adaptation
2007-06-21 | GSE6870 | GEO
Project description:Coevolutionary change requires reciprocal selection between interacting species, i.e., that the partner genotypes that are favored in one species depend on the genetic composition of the interacting species. Coevolutionary genetic variation is manifested as genotype ´ genotype (G ´ G) interactions for fitness from interspecific interactions. Although quantitative genetic approaches have revealed abundant evidence for G ´ G interactions in symbioses, the molecular basis of this variation remains unclear. Here we study the molecular basis of G ´ G interactions in a model legume-rhizobium mutualism using gene expression microarrays. We find that, like quantitative traits such as fitness, variation in the symbiotic transcriptome may be partitioned into additive and interactive genetic components. Our results suggest that plant genetic variation is the largest influence on nodule gene expression, and that plant genotype and the plant genotype ´ rhizobium genotype interaction determine global shifts in rhizobium gene expression that in turn feedback to influence plant fitness benefits. Moreover, the transcriptomic variation we uncover implicates regulatory changes in both species as drivers of symbiotic gene expression variation. Our study is the first to partition genetic variation in a symbiotic transcriptome, and illuminates potential molecular routes of coevolutionary change. We assayed gene expression using three biological replicates for each plant genotype × rhizobium genotype combination (4 combinations) for a total of 12 chips.
2012-05-01 | GSE29027 | GEO
Project description:Association Genetics can quickly and efficiently delineate regions of the genome that control traits and provide markers to accelerate breeding by marker-assisted selection. The requirements for many markers and a genome sequence to order those markers have limited its exploitation in crops. To harness this approach for use in a broad range of crops, even those with complex genomes, we developed an approach based on transcriptome sequencing to exploit markers representing variation in both gene sequences and gene expression. We term this approach Associative Transcriptomics. Applying it successfully in Brassica napus, as an example, we identified that genomic deletions including orthologues of the transcription factor controlling aliphatic glucosinolate biosynthesis in Arabidopsis thaliana, HAG1 (At5g61420), underlie two QTL for glucosinolate content of seeds.
2012-07-04 | E-MTAB-4309 | biostudies-arrayexpress
Project description:Drought stress is a major problem around the world and although progress in understanding how vegetable crops and model plants adapt to drought have been made, there is still little information about how fruit crops deal with moderate drought stress. In this study, we investigated the response of two apple genotypes: a drought-sensitive genotype (M26) and a drought-tolerant genotype (MBB). Our results of the morphology, physiology and biochemistry under moderate drought stress, indicated that relative water content (RWC) and leaf area (LA) were not significant changes in two genotypes. However, it had larger leaf mass per area (LMA), and accumulated higher free proline (CFP), soluble sugars (CSS) and malonaldehyde (MDA) in the leaves. Thus, it appears that the MBB genotype could produce more osmosis-regulating substances. Phosphoproteomic was analyzed from leaves of both genotypes under moderate drought stress using the isobaric tags for relative and absolute quantification (iTRAQ) technology. A total of 595 unique phosphopeptides, 682 phosphorylated sites and 446 phosphoproteins were quantitatively analyzed in the two genotypes. Motif analyses of the phosphorylation sites showed that six motifs including [PxsP], [sP], [sD], [Rxxs], [sxP] and [sxs] were enriched. We identified 12 and 48 PLSC phosphoproteins in M26 and MBB, respectively. Among these, 9 PLSC phosphoproteins were common to both genotypes, perhaps indicating a partial overlaps of the mechanisms to moderate drought stress. Gene ontology analyses revealed that the PLSC phosphoproteins present a unique combination of metabolism, transcription, translation and protein processing, suggesting that the response in apple to moderate drought stress encompasses a new homeostasis of major cellular processes. The basic trend was an increase in protein abundance related to drought and organic substance upon moderate drought stress between two genotypes. These increases were higher in the drought-tolerant genotype (MBB) than in the drought-sensitive genotype (M26). The 23 differentially expressed mRNA encoding phosphoproteins were analysis by quantitative real-time PCR (qRT-PCR). Our study is the first to address the phosphoproteome of a major fruit crop, apple rootstocks, in response to moderate drought stress, and provide insights into the molecular regulation mechanisms of apple rootstock under moderate drought stress.
2016-11-08 | PXD005238 | Pride
Project description:Large-scale identification of transcripts with large cross-genotype differences in abundance provides a genome-wide approach to identify natural variation in gene function. Transcript profiling was performed in 20 Arabidopsis accessions at dusk, dawn and after a 6h extension of the night. Individual genes with a high variance in transcript abundances across accessions were identified by inspection at each individual time point and by ANOVA across all three time points. Up to 40% of genes show significant changes in transcript abundance between accessions, with over-enrichment for biotic resistance, including pathogenesis resistance proteins and glucosinolate metabolism, cell wall modification, minor carbohydrate metabolism, amino acid degradation, brassinosteroid metabolism, redox and abiotic stress and underrepresentation of photosynthesis, DNA synthesis, RNA processing, regulation of transcription, protein synthesis and protein targeting. Some functional classes were enriched at all three time points. Genes related to carbon starvation-responses were enriched specifically at dawn, when their transcript abundance varied independently of carbohydrate levels, pointing to genetic variation in the sensitivity with which low carbon is sensed. Cross-accession correlation networks were generated at each time point to identify sets of genes whose transcripts show coordinated change in abundance between accessions. A cluster that was highly enriched for cold-response genes was found at dusk and after an extension of the night. Another cluster found at all three time points was highly enriched for glucosinolate biosynthesis, and correlated with glucosinolate content. We conclude that genes involved in stress and defense related processes show especially large and coordinated natural variation in transcript abundance.
2023-12-31 | GSE71188 | GEO
Project description:In this project we aimed to investigate new connections (edges) in the glucosinolate metabolism molecular network. We studied proteome changes in myb28/29 and cyp79B2/B3 Arabidopsis thaliana mutants as an effect of glucosinolate metabolism perturbation.
2016-03-01 | PXD002284 | Pride
Project description:Arbuscular mycorrhizas (AM) are the most common symbiotic associations between plant’s root compartment and fungi. They can provide both nutritional benefit (mostly inorganic phosphate) leading to improved growth and non-nutritional benefits including defense responses to environmental cues throughout the host plant, which in return delivers carbohydrates to the symbiont. However how transcriptional changes occurring in AM leaves differ from those induced by phosphate fertilization is poorly understood. We investigated systemic changes in the leaves of mycorrhized Medicago truncatula compared to non-mycorrhized control plants, and in phosphate fertilized plants compared to control plants.
2016-04-26 | GSE80610 | GEO
Project description:To explore the molecular regulatory mechanisms of early stem and leaf development, proteomic analysis was performed on leaves and stems of F genotype alfalfa, with thin stems and small leaves, and M genotype alfalfa, with thick stems and large leaves.
2020-11-13 | PXD022535 | iProX