An integrated research framework combining genomics, systems biology, physiology, modelling and breeding for legume improvement in response to elevated CO2 under climate change scenario.

How unprecedented changes in climatic conditions will impact yield and productivity of some crops and their response to existing stresses, abiotic and biotic interactions is a key global concern. Climate change can also alter natural species' abundance and distribution or favor invasive species, which in turn can modify ecosystem dynamics and the provisioning of ecosystem services. Basic anatomical differences in C3 and C4 plants lead to their varied responses to climate variations. In plants having a C3 pathway of photosynthesis, increased atmospheric carbon dioxide (CO2) positively regulates photosynthetic carbon (C) assimilation and depresses photorespiration. Legumes being C3 plants, they may be in a favorable position to increase biomass and yield through various strategies. This paper comprehensively presents recent progress made in the physiological and molecular attributes in plants with special emphasis on legumes under elevated CO2 conditions in a climate change scenario. A strategic research framework for future action integrating genomics, systems biology, physiology and crop modelling approaches to cope with changing climate is also discussed. Advances in sequencing and phenotyping methodologies make it possible to use vast genetic and genomic resources by deploying high resolution phenotyping coupled with high throughput multi-omics approaches for trait improvement. Integrated crop modelling studies focusing on farming systems design and management, prediction of climate impacts and disease forecasting may also help in planning adaptation. Hence, an integrated research framework combining genomics, plant molecular physiology, crop breeding, systems biology and integrated crop-soil-climate modelling will be very effective to cope with climate change.

Molecular and Physiological Alterations in Chickpea under Elevated CO2 Concentrations.

The present study reports profiling of the elevated carbon dioxide (CO2) concentration responsive global transcriptome in chickpea, along with a combinatorial approach for exploring interlinks between physiological and transcriptional changes, important for the climate change scenario. Various physiological parameters were recorded in two chickpea cultivars (JG 11 and KAK 2) grown in open top chambers under ambient [380 parts per million (ppm)] and two stressed/elevated CO2 concentrations (550 and 700 ppm), at different stages of plant growth. The elevated CO2 concentrations altered shoot and root length, nodulation (number of nodules), total chlorophyll content and nitrogen balance index, significantly. RNA-Seq from 12 tissues representing vegetative and reproductive growth stages of both cultivars under ambient and elevated CO2 concentrations identified 18,644 differentially expressed genes including 9,687 transcription factors (TF). The differential regulations in genes, gene networks and quantitative real-time polymerase chain reaction (qRT-PCR) -derived expression dynamics of stress-responsive TFs were observed in both cultivars studied. A total of 138 pathways, mainly involved in sugar/starch metabolism, chlorophyll and secondary metabolites biosynthesis, deciphered the crosstalk operating behind the responses of chickpea to elevated CO2 concentration.

Proteomic and transcriptomic approaches to identify resistance and susceptibility related proteins in contrasting rice genotypes infected with fungal pathogen Rhizoctonia solani.

The devastating sheath blight disease caused by Rhizoctonia solani Kuhn (teleomorph: Thanatephorus cucumeris) causes major yield loss in most rice growing regions of the world. In this study, two moderately tolerant and four susceptible genotypes of rice were selected for R. solani induced proteome analysis using two-dimensional polyacrylamide gel electrophoresis. Forty five differentially expressed proteins (DEPs) were identified and analyzed by Mass Spectrometry. Based on their functions, these proteins were classified into different groups, viz., photosynthesis, resistance and pathogenesis, stress, cell wall metabolism and cytoskeleton development associated proteins, and hypothetical or uncharacterized proteins. Expression of 14 genes encoding DEPs was analyzed by quantitative PCR which showed consistency in transcripts and genes expression pattern. Furthermore, the expression of 16 other genes involved in diverse biological functions was analyzed. Up-regulation of these genes in the tolerant genotype Pankaj during sheath blight disease suggested efficient genetic regulation of this cultivar under stress. Also, expression analysis of conserved microRNAs (miRNAs) and their target genes revealed important role of miRNAs in post-transcriptional gene regulation during development of rice sheath blight disease. Genome-wide discovery of miRNAs and further characterization of DEPs and genes will help in better understanding of the molecular events during sheath blight disease development in rice.

Identification of heat-related ESTs in moth bean through suppression subtraction hybridization.

Moth bean (Vigna aconitifolia (Jacq.) Marechal), an important grain-legume crop grown in hot desert regions of Thar, under scorching sun rays, was investigated for heat tolerance at molecular level. In the present study, we constructed a forward suppression subtractive hybridization (SSH) cDNA library of heat tolerant genotype RMO-40 to identify genes expressing under delayed response to elevated temperature. Heat induction was carried out by exposing 14-day-old seedlings to elevated temperature of 42 °C for 30 min. A total of 125 unigenes (33 contigs and 92 singletons) were derived by cluster assembly and sequence alignment of 200 ESTs; out of 125 unigenes, 21 (16 %) were found to be novel to moth bean. Gene ontology functional classification terms were retrieved for 98 (78.4 %) unigenes of which 73 (58.4 %) ESTs were functionally annotated (GO consensus) where 19 unigenes were annotated with 11 enzyme commission (EC) codes and were mapped to 25 different KEGG pathways. We have identified a majority of heat-shock proteins (constituting 35 % of the present library) aiding heat stress tolerance to moth bean. An expression level of 22 ESTs generated from the above SSH cDNA library was studied through semiquantitative RT-PCR assay simultaneously under 5 and 30 min of heat stress at 42 °C.

Construction and analysis of an SSH cDNA library of early heat-induced genes of Vigna aconitifolia variety RMO-40.

Moth bean ( Vigna aconitifolia (Jacq.) Marechal) is an important grain legume crop grown in rain fed areas of hot desert regions of Thar, India, under scorching sun rays with very little supplementation of water. An SSH cDNA library was generated from leaf tissues of V. aconitifolia var. RMO-40 exposed to an elevated temperature of 42 °C for 5 min to identify early-induced genes. A total of 488 unigenes (114 contigs and 374 singletons) were derived by cluster assembly and sequence alignment of 738 ESTs; out of 206 ESTs (28%) of unknown proteins, 160 ESTs (14%) were found to be novel to moth bean. Only 578 ESTs (78%) showed significant BLASTX similarity (<1 × 10(-6)) in the NCBI non-redundant database. Gene ontology functional classification terms were retrieved for 479 (65%) sequences, and 339 sequences were annotated with 165 EC codes and mapped to 68 different KEGG pathways. Four hundred and fifty-two ESTs were further annotated with InterProScan (IPS), and no IPS was assigned to 153 ESTs. In addition, the expression level of 27 ESTs in response to heat stress was evaluated through semiquantitative RT-PCR assay. Approximately 20 different signaling genes and 16 different transcription factors have been shown to be associated with heat stress in moth bean for the first time.

Detection of Corchorus golden mosaic virus Associated with Yellow Mosaic Disease of Jute (Corchorus capsularis).

Yellow mosaic disease, caused by a whitefly transmitted New World Begomovirus, named Corchorus golden mosaic virus (CoGMV), is emerging as a serious biotic constraint for jute fibre production in Asia. For rapid and sensitive diagnosis of the Begomovirus associated with this disease, a non-radiolabelled diagnostic probe, developed against the DNA A component of the east Indian isolate of CoGMV, detected the presence of the virus in infected plants and viruliferous whiteflies following Southern hybridization and nucleic acid spot hybridization tests. Presence of the virus was also confirmed when polymerase chain reaction amplification was performed using virus-specific primers on DNA templates isolated from infected plants and viruliferous whiteflies.