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1.
Gene ; 698: 82-91, 2019 May 25.
Article in English | MEDLINE | ID: mdl-30825599

ABSTRACT

Differential co-expression is a cutting-edge approach to analyze gene expression data and identify both shared and divergent expression patterns. The availability of high-throughput gene expression datasets and efficient computational approaches have unfolded the opportunity to a systems level understanding of functional genomics of different stresses with respect to plants. We performed the meta-analysis of the available microarray data for reoviridae and sequiviridae infection in rice with the aim to identify the shared gene co-expression profile. The microarray data were downloaded from ArrayExpress and analyzed through a modified Weighted Gene Co-expression Network Analysis (WGCNA) protocol. WGCNA clustered the genes based on the expression intensities across the samples followed by identification of modules, eigengenes, principal components, topology overlap, module membership and module preservation. The module preservation analysis identified 4 modules; salmon (638 genes), midnightblue (584 genes), lightcyan (686 genes) and red (562 genes), which are highly preserved in both the cases. The networks in case of reoviridae infection showed neatly packed clusters whereas, in sequiviridae, the clusters were loosely connected which is due to the differences in the correlation values. We also identified 83 common transcription factors targeting the hub genes from all the identified modules. This study provides a coherent view of the comparative aspect of the expression of common genes involved in different virus infections which may aid in the identification of novel targets and development of new intervention strategy against the virus.


Subject(s)
Gene Expression Profiling/methods , Gene Expression Regulation, Plant/genetics , Oryza/genetics , Computational Biology/methods , Gene Regulatory Networks/genetics , Oligonucleotide Array Sequence Analysis/methods , Reoviridae/pathogenicity , Reoviridae Infections/genetics , Sequiviridae/pathogenicity , Transcriptome/genetics , Virus Diseases/genetics
2.
Bioinform Biol Insights ; 11: 1177932217701735, 2017.
Article in English | MEDLINE | ID: mdl-28469419

ABSTRACT

Citronella (Cymbopogon winterianus) is one of the richest sources of high-value isoprenoid aromatic compounds used as flavour, fragrance, and therapeutic elements. These isoprenoid compounds are synthesized by 2 independent pathways: mevalonate pathway and 2-C-methyl-d-erythritol-4-phosphate pathway. Evidence suggests that 3-hydroxy-3-methylglutaryl-CoA reductase (HMGR) is a rate-controlling enzyme for the synthesis of variety of isoprenoids. This study reports the isolation, characterization, and tissue-specific expression analysis of HMGR from citronella. The modelled HMGR is a class I type of HMGR enzyme with 3-domain architecture. The active site comprises a cofactor (nicotinamide adenine dinucleotide phosphate) and the substrate-binding motifs. The real-time and quantitative reverse transcription-polymerase chain reaction results revealed equal expression level in both leaf sheath and root tissue. The results from our study shall be a valuable resource for future molecular intervention to alter the metabolic flux towards improvement of key active ingredient in this important medicinal plant.

3.
Mol Biol Rep ; 42(9): 1431-9, 2015 Sep.
Article in English | MEDLINE | ID: mdl-26311154

ABSTRACT

3-Hydroxy-3-methylglutaryl-CoA reductases (HMGR) plays an important role in catalyzing the first committed step of isoprenoid biosynthesis in the mevelonic (MVA) pathway (catalyzes the conversion of HMG-CoA to MVA) in plants. The present manuscript reports the full length cDNA cloning of HMGR (CaHMGR, GenBank accession number: KJ939450.2) and its characterization from Centella asiatica. Sequence analysis indicated that the cDNA was of 1965 bp, which had an open reading frame of 1617 bp and encoded a protein containing 539 amino-acids with a mol wt of 57.9 kDa. A BLASTp search against non-redundant (nr) protein sequence showed that C. asiatica HMGR (CaHMGR) has 65-81% identity with HMGRs from different plant species and multi-alignment comparison analysis showed the presence of two motif each corresponding to HMG-CoA-binding and NADP(H)-binding. The Conserved Domain Database analysis predicted that CaHMGR belongs to Class I hydroxymethylglutaryl-coenzyme A (HMG-CoA) reductase. Three-dimensional modeling confirmed the novelty of CaHMGR with a spatial structure similar to Homo sapiens (PDB id: 1IDQ8_A). Tissue Expression analysis indicates that CaHMGR is ubiquitous albeit differentially expressed among different tissues analysed, Strong expression was recorded in the nodes and leaves and low in the roots. The present investigation confirmed that nodes are vital to terpenoid synthesis in C. asiatica. Thus, the cloning of full length CDS, characterization and structure-function analysis of HMGR gene in Centella facilitate to understand the HMGR's functions and regulatory mechanisms involved in mevalonate pathway in C. asiatica at genetic level.


Subject(s)
Centella/enzymology , Hydroxymethylglutaryl CoA Reductases/genetics , Amino Acid Sequence , Base Sequence , Centella/genetics , Cloning, Molecular , Gene Expression , Hydroxymethylglutaryl CoA Reductases/isolation & purification , Hydroxymethylglutaryl CoA Reductases/metabolism , Molecular Sequence Data , Phylogeny , Plant Leaves/enzymology , Plant Leaves/genetics , Plant Roots/enzymology , Plant Roots/genetics , Protein Conformation , Sequence Alignment
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