Project description:Five allotetraploid cotton species have adapted, through their transcriptional responses, to unique environments with distinct levels of inherent abiotic stresses. The transcriptional responses of leaf and root tissue in five allotetraploid cotton species (Gossypium hirsutum, G. barbadense, G. tomentosum, G. mustelinum, and G. darwinii) under salt stress have been investigated in this study using cotton long oligonucleotide microarrays. Physiological responses to salinity such as stomatal conductance, ion and osmoprotectant contents were also measured as indicators of imposed stress. Accessions from these five cotton species were hydroponically grown and gradually introduced to a NaCl treatment (15 dS m-1). The microarray results identified 2721 and 2460 differentially expressed genes under salt stress that were significant in leaf and root tissue, respectively. Many of these genes were classified under gene ontology (GO) categories that suggest abiotic stress. These allotetraploid cottons shared transcriptional responses to salinity, but also showed responses that were species-specific. No consistent differences in transcriptional response among the previously estimated phylogenetic branches were found. Stomatal conductance, ion accumulation, and betaine, trigonelline, and trehalose contents also indicated salt stress. This global assessment of transcriptional and physiological responses to salt stress of these cotton species may identify possible gene targets for crop improvement and evolutionary studies of cotton. Keywords: CEGC Cotton oligo salt stress The transcriptional responses of leaf and root tissue in five allotetraploid cotton species (Gossypium hirsutum, G. barbadense, G. tomentosum, G. mustelinum, and G. darwinii) under salt stress have been investigated in this study using cotton long oligonucleotide microarrays. Physiological responses to salinity such as stomatal conductance, ion and osmoprotectant contents were also measured as indicators of imposed stress. Accessions from these five cotton species were hydroponically grown and gradually introduced to a NaCl treatment (15 dS m-1).
Project description:Five allotetraploid cotton species have adapted, through their transcriptional responses, to unique environments with distinct levels of inherent abiotic stresses. The transcriptional responses of leaf and root tissue in five allotetraploid cotton species (Gossypium hirsutum, G. barbadense, G. tomentosum, G. mustelinum, and G. darwinii) under salt stress have been investigated in this study using cotton long oligonucleotide microarrays. Physiological responses to salinity such as stomatal conductance, ion and osmoprotectant contents were also measured as indicators of imposed stress. Accessions from these five cotton species were hydroponically grown and gradually introduced to a NaCl treatment (15 dS m-1). The microarray results identified 2721 and 2460 differentially expressed genes under salt stress that were significant in leaf and root tissue, respectively. Many of these genes were classified under gene ontology (GO) categories that suggest abiotic stress. These allotetraploid cottons shared transcriptional responses to salinity, but also showed responses that were species-specific. No consistent differences in transcriptional response among the previously estimated phylogenetic branches were found. Stomatal conductance, ion accumulation, and betaine, trigonelline, and trehalose contents also indicated salt stress. This global assessment of transcriptional and physiological responses to salt stress of these cotton species may identify possible gene targets for crop improvement and evolutionary studies of cotton. Keywords: CEGC Cotton oligo salt stress
Project description:Salinity represses plant root growth, resulting in reduced biomass of agricultural plants. Little is known about how plants maintain root growth and development to counteract salt stress. SOS2-mediated PLT1/2 phosphorylation stabilizes PLT1/2, which is critical for root apical meristem maintenance under salt stress.
Project description:Soil salinity is a major production constrain for agricultural crops, especially in Oryza sativa (rice). Analyzing physiological effect and molecular mechanism under salt stress is key for developing stress-tolerant plants. Roots system has a major role in coping with the osmotic change impacted by salinity and few salt-stress-related transcriptome studies in rice have been previously reported. However, transcriptome data sets using rice roots grown in soil condition are more relevant for further applications, but have not yet been available. The present work analyzed rice root and shoot physiological characteristics in response to salt stress using 250 mM NaCl for different timepoints. Subsequently, we identified that 5 day treatment is critical timepoint for stress response in the specific experimental design. We then generated RNA-Seq-based transcriptome data set with rice roots treated with 250 mM NaCl for 5 days along with untreated controls in soil condition using rice japonica cultivar Chilbo. We identified 447 upregulated genes under salt stress with more than fourfold changes (p value < 0.05, FDR < 0.05) and used qRT-PCR for six genes to confirm their salt-dependent induction patterns. GO-enrichment analysis indicated that carbohydrate and amino-acid metabolic process are significantly affected by the salt stress. MapMan overview analysis indicated that secondary metabolite-related genes are induced under salt stress. Metabolites profiling analysis confirmed that phenolics and flavonoids accumulate in root under salt stress. We further constructed a functional network consisting of regulatory genes based on predicted protein–protein interactions, suggesting useful regulatory molecular network for future applications.
Project description:RSS1 is required for maintenance of meristematic activity under salinity conditions in rice. We carried out transcriptome analysis using shoot basal tissues in wild type and rss1-2 grown under non-stress and salt-stress conditions.
Project description:This project constructed a multiomics (proteome, metabolome, and transcriptome) database on the response of purslane (Portulaca oleracea L.) plants to salt stress and subsequently started to employ Single-omics (SOA) and Multi-omics Integration (MOI) strategies to characterize the molecular basis of the resistance to salinity stress found in this halophyte species. After evaluating the morpho-physiological responses of purslane plants to salinity stress using a robust salinity stress protocol developed in-house, leaves, and roots were used to generate the database. The proteome data from five plants (control and salt-stressed - leaf and root) was generated and then submitted to the MaxQuant software version 2.1.3.0 for protein identification and abundance, generating a .txt file named “proteinsgroups” that underwent statistical analysis in Perseus software version 2.0.5.0. Here the data and results of the proteome part of the project are presented. For additional information, please read: Silva, V. N. B., da Silva, T. L. C., Ferreira, T. M. M., Neto, J. C. R., Leão, A. P., de Aquino Ribeiro, J. A., Abdelnur, P. V., Valadares, L. F., de Sousa, C. A. F., & Júnior, M. T. S. (2022). Multi-omics Analysis of Young Portulaca oleracea L. Plants' Responses to High NaCl Doses Reveals Insights into Pathways and Genes Responsive to Salinity Stress in this Halophyte Species. Phenomics (Cham, Switzerland), 3(1), 1–21. https://doi.org/10.1007/s43657-022-00061-2
Project description:This project constructed a multiomics (proteome, metabolome, and transcriptome) database on the response of purslane (Portulaca oleracea L.) plants to salt stress and subsequently started to employ Single-omics (SOA) and Multi-omics Integration (MOI) strategies to characterize the molecular basis of the resistance to salinity stress found in this halophyte species. After evaluating the morpho-physiological responses of purslane plants to salinity stress using a robust salinity stress protocol developed in-house, leaves, and roots were used to generate the database. The proteome data from five plants (control and salt-stressed - leaf and root) was generated and then submitted to the MaxQuant software version 2.1.3.0 for protein identification and abundance, generating a .txt file named “proteinsgroups” that underwent statistical analysis in Perseus software version 2.0.5.0. Here the data and results of the proteome part of the project are presented. For additional information, please read: Silva, V. N. B., da Silva, T. L. C., Ferreira, T. M. M., Neto, J. C. R., Leão, A. P., de Aquino Ribeiro, J. A., Abdelnur, P. V., Valadares, L. F., de Sousa, C. A. F., & Júnior, M. T. S. (2022). Multi-omics Analysis of Young Portulaca oleracea L. Plants' Responses to High NaCl Doses Reveals Insights into Pathways and Genes Responsive to Salinity Stress in this Halophyte Species. Phenomics (Cham, Switzerland), 3(1), 1–21. https://doi.org/10.1007/s43657-022-00061-2
Project description:Salinity is one of the main environmental stresses worldwide limiting soybean growth and yield. Seed imbibition and radical emergence are generally less affected by salinity in soybean. Towards unraveling the mechanisms underlying salt tolerance in soybean at germination stage, a comprehensive quantitative proteomic analysis of proteins from soybean embryonic axis during germination sensu stricto (GSS) under saline conditions was performed. Application of 100 and 200 mmol L-1 NaCl at GSS was significantly accompanied by the change in abundance (>2-fold) of 97 and 75 proteins, respectively. Most of these proteins were involved in three major functions, namely stress response and defense, protein turnover and protection and primary metabolism. Our results pave the way towards the identification of suitable biomarkers useful for improving salt tolerance in soybean.
Project description:We found that primary root (PR) is more resistant to salt stress compared with crown roots (CR) and seminal roots (SR). To understand better salt stress responses in maize roots, six RNA libraries were generated and sequenced from primary root (PR), primary roots under salt stress (PR-salt) , seminal roots (SR), seminal roots under salt stress (SR-salt), crown roots (CR), and crown roots under salt stress (CR-salt). Through integrative analysis, we identified 444 genes regulated by salt stress in maize roots, and found that the expression patterns of some genes and enzymes involved in important pathway under salt stress, such as reactive oxygen species scavenging, plant hormone signal perception and transduction, and compatible solutes synthesis differed dramatically in different maize roots. 16 of differentially expressed genes were selected for further validation with quantitative real time RT-PCR (qRT-PCR).We demonstrate that the expression patterns of differentially expressed genes are highly diversified in different maize roots. The differentially expressed genes are correlated with the differential growth responses to salt stress in maize roots. Our studies provide deeper insight into the molecular mechanisms about the differential growth responses of different root types in response to environmental stimuli in planta.
Project description:We found that primary root (PR) is more resistant to salt stress compared with crown roots (CR) and seminal roots (SR). To understand better salt stress responses in maize roots, six RNA libraries were generated and sequenced from primary root (PR), primary roots under salt stress (PR-salt) , seminal roots (SR), seminal roots under salt stress (SR-salt), crown roots (CR), and crown roots under salt stress (CR-salt). Through integrative analysis, we identified 444 genes regulated by salt stress in maize roots, and found that the expression patterns of some genes and enzymes involved in important pathway under salt stress, such as reactive oxygen species scavenging, plant hormone signal perception and transduction, and compatible solutes synthesis differed dramatically in different maize roots. 16 of differentially expressed genes were selected for further validation with quantitative real time RT-PCR (qRT-PCR).We demonstrate that the expression patterns of differentially expressed genes are highly diversified in different maize roots. The differentially expressed genes are correlated with the differential growth responses to salt stress in maize roots. Our studies provide deeper insight into the molecular mechanisms about the differential growth responses of different root types in response to environmental stimuli in planta. Examination of three root types of maize under salt treatment for understanding the different responding mechenism to salt stress.