MYB transcription factor (TF) is one of the largest TF families and regulates defense responses t... more MYB transcription factor (TF) is one of the largest TF families and regulates defense responses to various stresses, hormone signaling as well as many metabolic and developmental processes in plants. Understanding these regulatory hierarchies of gene expression networks in response to developmental and environmental cues is a major challenge due to the complex interactions between the genetic elements. Correlation analyses are useful to unravel co-regulated gene pairs governing biological process as well as identification of new candidate hub genes in response to these complex processes. High throughput expression profiling data are highly useful for construction of co-expression networks. In the present study, we utilized transcriptome data for comprehensive regulatory network studies of MYB TFs by "top-down" and "guide-gene" approaches. More than 50% of OsMYBs were strongly correlated under 50 experimental conditions with 51 hub genes via "top-down" approach. Further, clusters were identified using Markov Clustering (MCL). To maximize the clustering performance, parameter evaluation of the MCL inflation score (I) was performed in terms of enriched GO categories by measuring F-score. Comparison of co-expressed cluster and clads analyzed from phylogenetic analysis signifies their evolutionarily conserved co-regulatory role. We utilized compendium of known interaction and biological role with Gene Ontology enrichment analysis to hypothesize function of coexpressed OsMYBs. In the other part, the transcriptional regulatory network analysis by "guide-gene" approach revealed 40 putative targets of 26 OsMYB TF hubs with high correlation value utilizing 815 microarray data. The putative targets with MYB-binding cis-elements enrichment in their promoter region, functional co-occurrence as well as nuclear localization supports our finding. Specially, enrichment of MYB binding regions involved in drought-inducibility implying their regulatory role in drought response in rice. Thus, the co-regulatory network analysis facilitated the identification of complex OsMYB regulatory networks, and candidate target regulon genes of selected guide MYB genes. The results contribute to the candidate gene screening, and experimentally testable hypotheses for potential regulatory MYB TFs, and their targets under stress conditions.
Unrevealing the molecular details of plant response and defense against abiotic stress factors su... more Unrevealing the molecular details of plant response and defense against abiotic stress factors such as drought, salt and temperature extremes is a crucial and challenging issue in plant research. Functional genomics and computational biology enhance pace of molecular dissection of abiotic stress response mechanisms. During the past two decades several QTLs associated with abiotic stress responses of plants have been mapped. A QTL is a chromosomal region that contains a gene or genes that influence a quantitative trait. QTL mapping approach is applied frequently to map chromosomal regions that contribute significantly to a complex trait. The availability of complete genome sequence of important model plants namely Arabidopsis and rice, QTL databases and mapping tools facilitate genomics-based strategies for gene discovery, coupled with high-throughput techniques speed-up gene discovery for abiotic stress tolerance.
Transcription factors (TFs) and microRNAs (miRNAs) are primary gene regulators within the cell. R... more Transcription factors (TFs) and microRNAs (miRNAs) are primary gene regulators within the cell. Regulatory mechanisms of these two main regulators are of great interest to biologists and may provide insights into the abiotic and biotic stresses. However, the interaction between miRNAs and TFs in a gene regulatory network (GRN) still remains uncovered. Previous research has been mostly directed at inferring either miRNA or TF regulatory networks from data. However, networks involving a single type of regulator may not fully reveal the complex gene regulatory mechanisms, therefore study of interplay among these two regulators in gene regulation is important towards explaining the mechanism of different abiotic stresses. Oligonucleotide microarrays containing 51,279 transcripts were used to identify total 133 salt responsive target genes regulated by 11 TFs that are also differentially regulated by miRNA under salinity, heat and drought stresses in Oryza sativa. TF's-target interactions which are most enriched in their downstream regulation were also identified. Many genes whose encoded proteins are implicated in response to light and radiation stimulus, hormone stimuli, oxidative stress, copper ion binding and electron transport were found to be enriched. However the majority were novel for the combined abiotic stress, which indicates that there are a great number of genes induced after the exposure these abiotic stresses and regulated by miRNA. Analysis of the expression profile data of Oryza provides clues regarding some putative cellular and molecular processes that are undertaken in response to these stresses. The study also identified a large number of candidate functional genes that appear to be constitutively involved in salt, drought and heat stresses tolerance. Further examination of these genes may enable the molecular basis of abiotic stress tolerance in Oryza, to be elucidated.
MYB transcription factor (TF) is one of the largest TF families and regulates defense responses t... more MYB transcription factor (TF) is one of the largest TF families and regulates defense responses to various stresses, hormone signaling as well as many metabolic and developmental processes in plants. Understanding these regulatory hierarchies of gene expression networks in response to developmental and environmental cues is a major challenge due to the complex interactions between the genetic elements. Correlation analyses are useful to unravel co-regulated gene pairs governing biological process as well as identification of new candidate hub genes in response to these complex processes. High throughput expression profiling data are highly useful for construction of co-expression networks. In the present study, we utilized transcriptome data for comprehensive regulatory network studies of MYB TFs by "top-down" and "guide-gene" approaches. More than 50% of OsMYBs were strongly correlated under 50 experimental conditions with 51 hub genes via "top-down" approach. Further, clusters were identified using Markov Clustering (MCL). To maximize the clustering performance, parameter evaluation of the MCL inflation score (I) was performed in terms of enriched GO categories by measuring F-score. Comparison of co-expressed cluster and clads analyzed from phylogenetic analysis signifies their evolutionarily conserved co-regulatory role. We utilized compendium of known interaction and biological role with Gene Ontology enrichment analysis to hypothesize function of coexpressed OsMYBs. In the other part, the transcriptional regulatory network analysis by "guide-gene" approach revealed 40 putative targets of 26 OsMYB TF hubs with high correlation value utilizing 815 microarray data. The putative targets with MYB-binding cis-elements enrichment in their promoter region, functional co-occurrence as well as nuclear localization supports our finding. Specially, enrichment of MYB binding regions involved in drought-inducibility implying their regulatory role in drought response in rice. Thus, the co-regulatory network analysis facilitated the identification of complex OsMYB regulatory networks, and candidate target regulon genes of selected guide MYB genes. The results contribute to the candidate gene screening, and experimentally testable hypotheses for potential regulatory MYB TFs, and their targets under stress conditions.
Unrevealing the molecular details of plant response and defense against abiotic stress factors su... more Unrevealing the molecular details of plant response and defense against abiotic stress factors such as drought, salt and temperature extremes is a crucial and challenging issue in plant research. Functional genomics and computational biology enhance pace of molecular dissection of abiotic stress response mechanisms. During the past two decades several QTLs associated with abiotic stress responses of plants have been mapped. A QTL is a chromosomal region that contains a gene or genes that influence a quantitative trait. QTL mapping approach is applied frequently to map chromosomal regions that contribute significantly to a complex trait. The availability of complete genome sequence of important model plants namely Arabidopsis and rice, QTL databases and mapping tools facilitate genomics-based strategies for gene discovery, coupled with high-throughput techniques speed-up gene discovery for abiotic stress tolerance.
Transcription factors (TFs) and microRNAs (miRNAs) are primary gene regulators within the cell. R... more Transcription factors (TFs) and microRNAs (miRNAs) are primary gene regulators within the cell. Regulatory mechanisms of these two main regulators are of great interest to biologists and may provide insights into the abiotic and biotic stresses. However, the interaction between miRNAs and TFs in a gene regulatory network (GRN) still remains uncovered. Previous research has been mostly directed at inferring either miRNA or TF regulatory networks from data. However, networks involving a single type of regulator may not fully reveal the complex gene regulatory mechanisms, therefore study of interplay among these two regulators in gene regulation is important towards explaining the mechanism of different abiotic stresses. Oligonucleotide microarrays containing 51,279 transcripts were used to identify total 133 salt responsive target genes regulated by 11 TFs that are also differentially regulated by miRNA under salinity, heat and drought stresses in Oryza sativa. TF's-target interactions which are most enriched in their downstream regulation were also identified. Many genes whose encoded proteins are implicated in response to light and radiation stimulus, hormone stimuli, oxidative stress, copper ion binding and electron transport were found to be enriched. However the majority were novel for the combined abiotic stress, which indicates that there are a great number of genes induced after the exposure these abiotic stresses and regulated by miRNA. Analysis of the expression profile data of Oryza provides clues regarding some putative cellular and molecular processes that are undertaken in response to these stresses. The study also identified a large number of candidate functional genes that appear to be constitutively involved in salt, drought and heat stresses tolerance. Further examination of these genes may enable the molecular basis of abiotic stress tolerance in Oryza, to be elucidated.
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Papers by Shuchi Smita