Plant metabolomics is a rapidly advancing field of plant sciences and systems biology. It involves comprehensive analyses of small molecules (metabolites) in plant tissues and cells. These metabolites include a wide range of compounds, such as sugars, amino acids, organic acids, secondary metabolites (e.g., alkaloids and flavonoids), lipids, and more. Metabolomics allows an understanding of the functional roles of specific metabolites in plants’ physiology, development, and responses to biotic and abiotic stresses. It can lead to the identification of metabolites linked with specific traits or functions. Plant metabolic networks and pathways can be better understood with the help of metabolomics. Researchers can determine how plants react to environmental cues or genetic modifications by examining how metabolite profiles change under various crop stages. Metabolomics plays a major role in crop improvement and biotechnology. Integrating metabolomics data with other omics data (genomics, transcriptomics, and proteomics) provides a more comprehensive perspective of plant biology. This systems biology approach enables researchers to understand the complex interactions within organisms.

Seventy-eight mungbean genotypes were grown in the field and 28 genotypes were found to be resistant to Mungbean yellow mosaic virus, while the remainder were susceptible. All genotypes were further subjected to agroinoculation to confirm their resistance/susceptibility against MYMV using two different MYMV strains, namely VA 221 and VA 239. The results showed that only three genotypes, namely ML 1108, KMG 189 and SP 84, exhibited resistance to the VA 221 strain while 77 genotypes were found to be susceptible to strain VA 239. Only one genotype, namely ML 818, showed resistance to strain VA 239, but it was susceptible to strain VA 221. The accumulation of the viral genome in the host was confirmed by PCR amplification of the coat protein gene of MYMV using gene-specific primers.

Stomata regulates conductance, transpiration and photosynthetic traits in plants. Increased stomatal density may contribute to enhanced water loss and thereby help improve the transpirational cooling process and mitigate the high temperature-induced yield losses. However, genetic manipulation of stomatal traits through conventional breeding still remains a challenge due to problems involved in phenotyping and the lack of suitable genetic materials. Recent advances in functional genomics in rice identified major effect genes determining stomatal traits, including its number and size. Widespread applications of CRISPR/Cas9 in creating targeted mutations paved the way for fine tuning the stomatal traits for enhancing climate resilience in crops. In the current study, attempts were made to create novel alleles of OsEPF1 (Epidermal Patterning Factor), a negative regulator of stomatal frequency/density in a popular rice variety, ASD 16, using the CRISPR/Cas9 approach. Evaluation of 17 T₀ progenies identified varying mutations (seven multiallelic, seven biallelic and three monoallelic mutations). T₀ mutant lines showed a 3.7–44.3% increase in the stomatal density, and all the mutations were successfully inherited into the T₁ generation. Evaluation of T₁ progenies through sequencing identified three homozygous mutants for one bp insertion. Overall, T₁ plants showed 54–95% increased stomatal density. The homozygous T₁ lines (# E1-1-4, # E1-1-9 and # E1-1-11) showed significant increase in the stomatal conductance (60–65%), photosynthetic rate (14–31%) and the transpiration rate (58–62%) compared to the nontransgenic ASD 16. Results demonstrated that the genetic alterations in OsEPF1 altered the stomatal density, stomatal conductance and photosynthetic efficiency in rice. Further experiments are needed to associate this technology with canopy cooling and high temperature tolerance.

The aim of this study was to identify the molecular markers (SSR, RAPD and SCAR) associated with Mungbean yellow mosaic virus resistance in an interspecific cross between a mungbean variety, VRM (Gg) 1 X a ricebean variety, TNAU RED. The parental survey was carried out by using 118 markers (including 106 azuki bean primers, seven mungbean primers and five ricebean primers). This study revealed that 42 azuki bean markers (39.62%) and four mungbean markers (54.07%) showed parental polymorphism. These polymorphic markers were surveyed among the 187 F₂ plants and the results showed distorted segregation or chromosomal elimination at all the marker loci (thus, deviating from the expected 1:2:1 segregation). None of the plants harboured the homozygous ricebean allele for the markers surveyed and all of them were skewed towards mungbean, VRM (Gg) 1, allele, except a few plants which were found to be heterozygous for few markers. Among the 42 azuki bean SSR markers surveyed, only 10 markers produced heterozygotic pattern in six F₂ lines viz. 3, 121, 122, 123, 185 and 186. These markers were surveyed in the corresponding F₃ individuals, which too skewed towards the mungbean allele. In this study, one species-specific SCAR marker was developed for ricebean by designing primers from the sequenced putatively species-specific RAPD bands. A single, distinct and brightly resolved band of 400 bp was found amplified only in the resistant parent, TNAU RED, and not in any other six species or in the resistant or the susceptible bulks of the mapping population clearly indicated the identification of SCAR marker specific to the ricebean.

Rice (Oryza sativa L.) is the staple food of the majority of the population, particularly in Asia and Africa. Enriching rice with nutritional and therapeutic contents can improve its benefits for patients with lifestyle disorders. This study aimed to profile the phytochemical contents of the therapeutically known traditional rice Mappillai Samba against white rice CBMAS 14065 using non-targeted gas chromatography–mass spectrometry (GC-MS/MS). An analysis of the data using a mass spectrometry–data independent analysis (MS-DIAL) and MetaboAnalyst identified 113 metabolites belonging to 21 different classes of metabolites. A partial least square-discriminant analysis (PLS-DA) revealed 43 variable importance in projection (VIP) metabolites. This study identified therapeutically important metabolites, including phenylpropanoids, phytosterols, flavonoids, and polyamines, in the grains of Mappillai Samba. Three significant metabolic pathways, viz., phenylpropanoid biosynthesis, ubiquinone and other terpenoid-quinone biosynthesis, and steroid biosynthesis, were responsible for the grain metabolome variation between CBMAS 14065 and Mappillai Samba. Overall, the results of this study unravelled the biochemical complexity of Mappillai Samba, paving the way for the genetic mapping of the therapeutic compound accumulation in rice and the development of similar therapeutic rice varieties through molecular breeding.