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1.
Funct Integr Genomics ; 20(1): 29-49, 2020 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-31286320

RESUMO

Abiotic stress tolerance is a complex trait regulated by multiple genes and gene networks in plants. A range of abiotic stresses are known to limit rice productivity. Meta-transcriptomics has emerged as a powerful approach to decipher stress-associated molecular network in model crops. However, retaining specificity of gene expression in tolerant and susceptible genotypes during meta-transcriptome analysis is important for understanding genotype-dependent stress tolerance mechanisms. Addressing this aspect, we describe here "abiotic stress tolerant" (ASTR) genes and networks specifically and differentially expressing in tolerant rice genotypes in response to different abiotic stress conditions. We identified 6,956 ASTR genes, key hub regulatory genes, transcription factors, and functional modules having significant association with abiotic stress-related ontologies and cis-motifs. Out of the 6956 ASTR genes, 73 were co-located within the boundary of previously identified abiotic stress trait-related quantitative trait loci. Functional annotation of 14 uncharacterized ASTR genes is proposed using multiple computational methods. Around 65% of the top ASTR genes were found to be differentially expressed in at least one of the tolerant genotypes under different stress conditions (cold, salt, drought, or heat) from publicly available RNAseq data comparison. The candidate ASTR genes specifically associated with tolerance could be utilized for engineering rice and possibly other crops for broad-spectrum tolerance to abiotic stresses.


Assuntos
Perfilação da Expressão Gênica , Redes Reguladoras de Genes , Oryza/genética , Estresse Fisiológico/genética , Temperatura Baixa , Secas , Genótipo , Temperatura Alta , Locos de Características Quantitativas , RNA-Seq , Salinidade
2.
PLoS One ; 9(9): e107781, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-25254552

RESUMO

Crop wild relatives (CWRs) are invaluable gene sources for various traits of interest, yet these potential resources are themselves increasingly threatened by the impact of climate change as well as other anthropogenic and socio-economic factors. The prime goal of our research was to cover all aspects of wild Lens genetic resource management like species characterization, agro-morphological evaluation, diversity assessment, and development of representative sets for its enhanced utilization in lentil base broadening and yield improvement initiatives. We characterized and evaluated extensively, the global wild annual Lens taxa, originating from twenty seven counties under two agro-climatic conditions of India consecutively for three cropping seasons. Results on various qualitative and quantitative characters including two foliar diseases showed wide variations for almost all yield attributing traits including multiple disease resistance in the wild species, L. nigricans and L. ervoides accessions. The core set developed from the entire Lens taxa had maximum representation from Turkey and Syria, indicating rich diversity in accessions originating from these regions. Diversity analysis also indicated wide geographical variations across genepool as was reflected in the core set. Potential use of core set, as an initial starting material, for genetic base broadening of cultivated lentil was also suggested.


Assuntos
Lens (Planta)/crescimento & desenvolvimento , Agricultura , Biodiversidade , Conservação dos Recursos Naturais , Internacionalidade , Lens (Planta)/microbiologia , Lens (Planta)/fisiologia , Doenças das Plantas/microbiologia , Estresse Fisiológico
4.
Biotechnol Lett ; 36(5): 1037-41, 2014 May.
Artigo em Inglês | MEDLINE | ID: mdl-24375233

RESUMO

We have developed marker-free transgenic wheat using a transcription factor, AtDREB1A cloned from Arabidopsis. Southern hybridization confirmed a transgenic event with a single copy insertion. PCR analysis of the T1 plants showed four were positive only for AtDREB1A. A T1 plant (HRCB3#17-37) was marker-free and had good expression of drought tolerance in comparison with untransformed plants. The leaf relative water content of this T1 transgenic plant was 12-15% higher than that of the wild type during stress with an 8% higher yield under water deficit conditions compared with wild type plants.


Assuntos
Secas , Plantas Geneticamente Modificadas/fisiologia , Estresse Fisiológico/fisiologia , Triticum/fisiologia , Proteínas de Arabidopsis/genética , Folhas de Planta/química , Plantas Geneticamente Modificadas/genética , Estresse Fisiológico/genética , Fatores de Transcrição/genética , Triticum/genética , Água/análise
5.
J Genet ; 92(3): 363-8, 2013 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-24371159

RESUMO

Fruit ripening process is associated with change in carotenoid profile and accumulation of lycopene in tomato (Solanum lycopersicum L.). In this study, we quantified the beta-carotene and lycopene content at green, breaker and red-ripe stages of fruit ripening in eight tomato genotypes by using high-performance liquid chromatography. Among the genotypes, lycopene content was found highest in Pusa Rohini and lowest in VRT-32-1. To gain further insight into the regulation of lycopene biosynthesis and accumulation during fruit ripening, expression analysis of nine carotenoid pathway-related genes was carried out in the fruits of high lycopene genotype-Pusa Rohini. We found that expression of phytoene synthase and beta-carotene hydroxylase-1 was four and thirty-fold higher, respectively, at breaker stage as compared to red-ripe stage of fruit ripening. Changes in the expression level of these genes were associated with a 40% increase in lycopene content at red-ripe stage as compared with breaker stage. Thus, the results from our study suggest the role of specific carotenoid pathway-related genes in accumulation of high lycopene during the fruit ripening processes.


Assuntos
Carotenoides/biossíntese , Frutas/metabolismo , Proteínas de Plantas/genética , Solanum lycopersicum/metabolismo , Transcriptoma , Vias Biossintéticas/genética , Frutas/genética , Frutas/crescimento & desenvolvimento , Regulação da Expressão Gênica de Plantas , Genes de Plantas , Licopeno , Solanum lycopersicum/genética , Solanum lycopersicum/crescimento & desenvolvimento , Fenótipo , Proteínas de Plantas/metabolismo , beta Caroteno/biossíntese
6.
Bioinformation ; 9(2): 72-8, 2013.
Artigo em Inglês | MEDLINE | ID: mdl-23390349

RESUMO

Identification of genes that are coexpressed across various tissues and environmental stresses is biologically interesting, since they may play coordinated role in similar biological processes. Genes with correlated expression patterns can be best identified by using coexpression network analysis of transcriptome data. In the present study, we analyzed the temporal-spatial coordination of gene expression in root, leaf and panicle of rice under drought stress and constructed network using WGCNA and Cytoscape. Total of 2199 differentially expressed genes (DEGs) were identified in at least three or more tissues, wherein 88 genes have coordinated expression profile among all the six tissues under drought stress. These 88 highly coordinated genes were further subjected to module identification in the coexpression network. Based on chief topological properties we identified 18 hub genes such as ABC transporter, ATP-binding protein, dehydrin, protein phosphatase 2C, LTPL153 - Protease inhibitor, phosphatidylethanolaminebinding protein, lactose permease-related, NADP-dependent malic enzyme, etc. Motif enrichment analysis showed the presence of ABRE cis-elements in the promoters of > 62% of the coordinately expressed genes. Our results suggest that drought stress mediated upregulated gene expression was coordinated through an ABA-dependent signaling pathway across tissues, at least for the subset of genes identified in this study, while down regulation appears to be regulated by tissue specific pathways in rice.

7.
BMC Genomics ; 13: 544, 2012 Oct 10.
Artigo em Inglês | MEDLINE | ID: mdl-23050870

RESUMO

BACKGROUND: The MYB gene family comprises one of the richest groups of transcription factors in plants. Plant MYB proteins are characterized by a highly conserved MYB DNA-binding domain. MYB proteins are classified into four major groups namely, 1R-MYB, 2R-MYB, 3R-MYB and 4R-MYB based on the number and position of MYB repeats. MYB transcription factors are involved in plant development, secondary metabolism, hormone signal transduction, disease resistance and abiotic stress tolerance. A comparative analysis of MYB family genes in rice and Arabidopsis will help reveal the evolution and function of MYB genes in plants. RESULTS: A genome-wide analysis identified at least 155 and 197 MYB genes in rice and Arabidopsis, respectively. Gene structure analysis revealed that MYB family genes possess relatively more number of introns in the middle as compared with C- and N-terminal regions of the predicted genes. Intronless MYB-genes are highly conserved both in rice and Arabidopsis. MYB genes encoding R2R3 repeat MYB proteins retained conserved gene structure with three exons and two introns, whereas genes encoding R1R2R3 repeat containing proteins consist of six exons and five introns. The splicing pattern is similar among R1R2R3 MYB genes in Arabidopsis. In contrast, variation in splicing pattern was observed among R1R2R3 MYB members of rice. Consensus motif analysis of 1kb upstream region (5' to translation initiation codon) of MYB gene ORFs led to the identification of conserved and over-represented cis-motifs in both rice and Arabidopsis. Real-time quantitative RT-PCR analysis showed that several members of MYBs are up-regulated by various abiotic stresses both in rice and Arabidopsis. CONCLUSION: A comprehensive genome-wide analysis of chromosomal distribution, tandem repeats and phylogenetic relationship of MYB family genes in rice and Arabidopsis suggested their evolution via duplication. Genome-wide comparative analysis of MYB genes and their expression analysis identified several MYBs with potential role in development and stress response of plants.


Assuntos
Proteínas de Arabidopsis/classificação , Proteínas de Arabidopsis/metabolismo , Arabidopsis/genética , Evolução Molecular , Regulação da Expressão Gênica de Plantas/fisiologia , Família Multigênica/genética , Oryza/genética , Filogenia , Fatores de Transcrição/classificação , Fatores de Transcrição/metabolismo , Processamento Alternativo/genética , Sequência de Aminoácidos , Proteínas de Arabidopsis/genética , Mapeamento Cromossômico , Componentes do Gene , Regulação da Expressão Gênica de Plantas/genética , Dados de Sequência Molecular , Reação em Cadeia da Polimerase em Tempo Real , Alinhamento de Sequência , Sequências de Repetição em Tandem/genética , Fatores de Transcrição/genética
8.
Database (Oxford) ; 2011: bar037, 2011.
Artigo em Inglês | MEDLINE | ID: mdl-21965557

RESUMO

The QlicRice database is designed to host publicly accessible, abiotic stress responsive quantitative trait loci (QTLs) in rice (Oryza sativa) and their corresponding sequenced gene loci. It provides a platform for the data mining of abiotic stress responsive QTLs, as well as browsing and annotating associated traits, their location on a sequenced genome, mapped expressed sequence tags (ESTs) and tissue and growth stage-specific expressions on the whole genome. Information on QTLs related to abiotic stresses and their corresponding loci from a genomic perspective has not yet been integrated on an accessible, user-friendly platform. QlicRice offers client-responsive architecture to retrieve meaningful biological information--integrated and named 'Qlic Search'--embedded in a query phrase autocomplete feature, coupled with multiple search options that include trait names, genes and QTL IDs. A comprehensive physical and genetic map and vital statistics have been provided in a graphical manner for deciphering the position of QTLs on different chromosomes. A convenient and intuitive user interface have been designed to help users retrieve associations to agronomically important QTLs on abiotic stress response in rice. Database URL: http://nabg.iasri.res.in:8080/qlic-rice/.


Assuntos
Sistemas de Gerenciamento de Base de Dados , Bases de Dados Genéticas , Internet , Oryza/genética , Locos de Características Quantitativas , Genoma de Planta , Genômica/métodos , Proteínas de Plantas/química , Proteínas de Plantas/genética , Estresse Fisiológico/genética , Interface Usuário-Computador
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