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North Eastern part of India such as Assam is inundated by flood every year where the farmers are forced to grow the traditional tall deep-water rice. Genetic improvement of this type of rice is slow because of insufficient knowledge about their genetic architecture and population structure. In the present investigation, the genetic diversity architecture of 94 deep-water rice genotypes of Assam and association mapping strategy was, for the first time, applied to determine the significant SNPs and genes for deep-water rice. These genotypes are known for their unique elongation ability under deep-water condition. The anaerobic germination (AG) related trait-associated genes identified here can provide affluent resources for rice breeding especially in flood-prone areas. We investigated the genome-wide association studies (GWAS) using 50 K rice genic SNP chip across 94 deep-water rice genotypes collected from different flood-prone districts/villages of Assam. Population structure and diversity analysis revealed that these genotypes were stratified into four sub-populations. Using GWAS approach, 20 significant genes were identified and found to be associated with AG-related traits. Of them, two most relevant genes (OsXDH1and SSXT) have been identified which explain phenotypic variability (R2 > 20%) in the population. These genes were located in Chr 3 (LOC_Os03g31550) which encodes for enzyme xanthine dehydrogenase 1(OsXDH1) and in Chr 12 (LOC_Os12g31350) which encodes for SSXT family protein. Both of these genes were found to be associated with anaerobic response index (increase in the coleoptile length under water in anaerobic condition with respect to control), respectively. Interestingly, OsXDH1is involved in purine catabolism pathway and acts as a scavenger of reactive oxygen species in plants, whereas SSXT is GRF1-interacting factor 3. These two candidate genes associated with AG of deep-water rice have been found to be reported for the first time. Thus, this study provides a greater resource for breeders not only for improvement of deep-water rice, but also for AG tolerant variety useful for direct-seeded rice in flood-affected areas.

Black gram (Vigna mungo) seeds are a rich source of digestible proteins, however, during storage these seeds are severely damaged by bruchids (Callosobruchus spp.), reducing seed quality and yield losses. Most of the cultivated genotypes of black gram are susceptible to bruchids, however, few tolerant genotypes have also been identified but the mechanism of tolerance is poorly understood. We employed Suppression Subtractive Hybridization (SSH) to identify specifically, but rarely expressed bruchid egg induced genes in black gram. In this study, Suppression Subtractive Hybridization (SSH) library was constructed to study the genes involved in defense response in black gram against bruchid infestation. An EST library of 277 clones was obtained for further analyses. Based on CAP3 assembly, 134 unigenes were computationally annotated using Blast2GOPRO software. In all, 20 defense related genes were subject to quantitative PCR analysis (qPCR) out of which 12 genes showed up-regulation in developing seeds of the pods oviposited by bruchids. Few major defense genes like defensin, pathogenesis related protein (PR), lipoxygenase (LOX) showed high expression levels in the oviposited population when compared with the non-oviposited plants. This is the first report on defense related gene transcript dynamics during the bruchid-black gram interaction using SSH library. This library would be useful to clone defense related gene(s) such as defensin as represented in our library for crop improvement.

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.

The NADPH-dependent HC-toxin reductases (HCTR1 and 2) encoded by enzymatic class of disease resistance homologous genes (Hm1 and Hm2) protect maize by detoxifying a cyclic tetrapeptide, HC-toxin, secreted by the fungus Cochliobolus carbonum race 1(CCR1). Unlike the other classes' resistance (R) genes, HCTR-mediated disease resistance is an inimitable mechanism where the avirulence (Avr) component from CCR1 is not involved in toxin degradation. In this study, we attempted to decipher cofactor (NADPH) recognition and mode of HC-toxin binding to HCTRs through molecular docking, molecular dynamics (MD) simulations and binding free energy calculation methods. The rationality and the stability of docked complexes were validated by 30-ns MD simulation. The binding free energy decomposition of enzyme-cofactor complex was calculated to find the driving force behind cofactor recognition. The overall binding free energies of HCTR1-NADPH and HCTR2-NADPH were found to be -616.989 and -16.9749 kJ mol-1 respectively. The binding free energy decomposition revealed that the binding of NADPH to the HCTR1 is mainly governed by van der Waals and nonpolar interactions, whereas electrostatic terms play dominant role in stabilizing the binding mode between HCTR2 and NADPH. Further, docking analysis of HC-toxin with HCTR-NADPH complexes showed a distinct mode of binding and the complexes were stabilized by a strong network of hydrogen bond and hydrophobic interactions. This study is the first in silico attempt to unravel the biophysical and biochemical basis of cofactor recognition in enzymatic class of R genes in cereal crop maize.

Background In rice, drought stress at reproductive stage drastically reduces yield, which in turn hampers farmer’s efforts towards crop production. The majority of the rice varieties have resistance genes against several abiotic and biotic stresses. Therefore, the traditional landraces were studied to identify QTLs/candidate genes associated with drought tolerance. Methods and results A high-density SNP-based genetic map was constructed using a Genotyping-by-sequencing (GBS) approach. The recombinant inbred lines (RILs) derived from crossing ‘Banglami × Ranjit’ were used for QTL analysis. A total map length of 1306.424 cM was constructed, which had an average inter-marker distance of 0.281 cM. The phenotypic evaluation of F 6 and F 7 RILs were performed under drought stress and control conditions. A total of 42 QTLs were identified under drought stress and control conditions for yield component traits explaining 1.95–13.36% of the total phenotypic variance (PVE). Among these, 19 QTLs were identified under drought stress conditions, whereas 23 QTLs were located under control conditions. A total of 4 QTLs explained a PVE ≥ 10% which are considered as the major QTLs. Moreover, bioinformatics analysis revealed the presence of 6 candidate genes, which showed differential expression under drought and control conditions. Conclusion These QTLs/genes may be deployed for marker-assisted pyramiding to improve drought tolerance in the existing rice varieties.

The 1‐deoxy‐d‐xylulose‐5‐phosphate reductoisomerase (DXR; EC1.1.1.267), an NADPH‐dependent reductase, plays a pivotal role in the methylerythritol 4‐phosphate pathway (MEP), in the conversion of 1‐deoxy‐d‐xylulose‐5‐phosphate (DXP) into MEP. The sheath and leaf of citronella (Cymbopogon winterianus) accumulates large amount of terpenes and sesquiterpenes with proven medicinal value and economic uses. Thus, sequencing of full lengthdxr gene and its characterization seems to be a valuable resource in metabolic engineering to alter the flux of isoprenoid active ingredients in plants. In this study, full length DXR from citronella was characterized throughin silico and tissue‐specific expression studies to explain its structure–function mechanism, mode of cofactor recognition and differential expression. The modelled DXR has a three‐domain architecture and its active site comprised of a cofactor (NADPH) binding pocket and the substrate‐binding pocket. Molecular dynamics simulation studies indicated that DXR model retained most of its secondary structure during 10 ns simulation in aqueous solution. The modelled DXR superimposes well with its closest structural homolog but subtle variations in the charge distribution over the cofactor recognition site were noticed. Molecular docking study revealed critical residues aiding tight anchoring NADPH within the active pocket of DXR. Tissue‐specific differential expression analysis using semi‐quantitative RT‐PCR and qRT‐PCR in various tissues of citronella plant revealed distinct differential expression of DXR. To our knowledge, this is the first ever report on DXR from the important medicinal plant citronella and further characterization of this gene will open up better avenues for metabolic engineering of secondary metabolite pathway genes from medicinal plants in the near future. We sequenced the complete coding sequence of citronelladxr gene. Analysis of CwDXR revealed the plastidial nature of the enzyme. Comparative modelling of CwDXR was performed. Molecular dynamics simulation and docking explained the mode of cofactor recognition. Tissue‐specific expression of CwDXR was performed using RT‐PCR and qRT‐PCR.

Advances in transcriptome sequencing provide fast, cost-effective and reliable approach to generate large expression datasets especially suitable for non-model species to identify putative genes, key pathway and regulatory mechanism. Citronella ( Cymbopogon winterianus ) is an aromatic medicinal grass used for anti-tumoral, antibacterial, anti-fungal, antiviral, detoxifying and natural insect repellent properties. Despite of having number of utilities, the genes involved in terpenes biosynthetic pathway is not yet clearly elucidated. The present study is a pioneering attempt to generate an exhaustive molecular information of secondary metabolite pathway and to increase genomic resources in Citronella. Using high-throughput RNA-Seq technology, root and leaf transcriptome was analysed at an unprecedented depth (11.7 Gb). Targeted searches identified majority of the genes associated with metabolic pathway and other natural product pathway viz . antibiotics synthesis along with many novel genes. Terpenoid biosynthesis genes comparative expression results were validated for 15 unigenes by RT-PCR and qRT-PCR. Thus the coverage of these transcriptome is comprehensive enough to discover all known genes of major metabolic pathways. This transcriptome dataset can serve as important public information for gene expression, genomics and function genomics studies in Citronella and shall act as a benchmark for future improvement of the crop.

Bananas and plantains (Musa spp.) are an important socio-economic fruit crop grown worldwide. Their production across the regions where they are grown, is largely hampered by pests and diseases. Fusarium wilt, also known as Panama wilt is a disastrous disease of bananas caused by the fungal pathogen Fusarium oxysporum f.sp. cubense (Foc). The fungus is classified into Foc race 1 (R1), Foc race 2, and Foc race 4 based on host specificity. Among these, race 1 and 4 have threatened the survival and existence of banana crop production. Although enormous attempts were made, including chemicals, biological control agents, and cultural methods, they were all found to be ineffective. Understanding the diversity of pathogens, their genome organization, effector molecules, the mechanism of infection, and the molecular basis of host defense through banana genome sequencing, gene expression studies, and proteomic profile analysis will help to formulate strategies to develop resistant cultivars and manage crop production. Further, the identification of genes involved in various aspects of resistance like early events of disease progression, signaling, pathogenicity, autophagy, cell wall strengthening, etc., would help in the genetic modification of bananas. Several transgenic approaches have recently been employed as tools for transferring resistance genes from wild relatives and gene editing techniques, which might serve as a newer strategy to develop resistant cultivars. Keeping this in mind, the present review summarises the molecular-level understanding of the Fusarium pathogen, the mechanism of resistance in bananas, and genetic modification studies for the generation of resistant cultivars.

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.