Decoding the genome of superior chapatti quality Indian wheat variety 'C 306' unravelled novel genomic variants for chapatti and nutrition quality related genes

Genome-wide identification of microsatellites for mapping, genetic diversity and cross-transferability in wheat (Triticum spp)

Wheat (Triticum aestivum L.) is a crucial global staple crop, and is consistently being improved to enhance yield, disease resistance, and quality traits. However, the development of molecular markers is a challenging task due to its hexaploid genome. Molecular marker system such as simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) are helpful for breeding, but SNP has limitations due to its development cost and its conversion to breeder markers. The study proposed an in-silico approach, by utilizing the low-cost transcriptome sequencing of two parental lines, 'TAC 75' and 'WH 1105', to identify polymorphic SSRs for mapping in a recombinant inbred line (RIL) population. This study introduces a new approach to bridge wheat genetics intricacies and next-generation sequencing potential. It presents a comprehensive genome-wide SSR distribution using IWGSC CS RefSeq v2.1 genome assembly and to identify 189 polymorphic loci through in-silico strategy. Of these, 54.76% showed polymorphism between parents, surpassing the traditional low polymorphic success rate. A RIL population screening validated these markers, demonstrating the fitness of identified markers through chi-square tests. The designed SSRs were also validated for genetic diversity analysis in a subset of 37 Indian wheat genotypes and cross-transferability in the wild/relative wheat species. In diversity analysis, a subset of 38 markers revealed 95 alleles (2.5 allele/locus), indicating substantial genetic variation. Population structure analysis unveiled three distinct groups, supported by phylogenetic and PCoA analyses. Further the polymorphic SSRs were also analyzed for SSR-gene association using gene ontology analysis. By utilizing the developing seed transcriptome data within parental lines, the study has enhanced the polymorphic SSR identification precision and facilitated in the RIL population. The undertaken study pioneers the use of transcriptome sequencing and genetic mapping to overcome challenges posed by the intricate wheat genome. This approach offers a cost-effective, less labour-intensive alternative to conventional methods, providing a platform for advancing wheat breeding research.

Whole genome re-sequencing of indian wheat genotypes for identification of genomic variants for grain iron and zinc content

BACKGROUND

Whole-genome sequencing information which is of abundant significance for genetic evolution, and breeding of crops. Wheat (Triticum spp) is most widely grown and consumed crops globally. Micronutrients are very essential for healthy development of human being and their sufficient consumption in diet is essential for various metabolic functions. Biofortification of wheat grains with iron (Fe) and zinc (Zn) has proved the most reliable and effective way to combat micronutrient associated deficiency. Genetic variability for grain micronutrient could provide insight to dissect the traits.

METHODS AND RESULTS

In the current study, 1300 wheat lines were screened for grain Fe and Zn content, out of which only five important Indian wheat genotypes were selected on the basis of Fe and Zn contents. These lines were multiplied during at the National Agri-Food Biotechnology Institute (NABI) and re-sequenced to identify genomic variants in candidate genes for Fe and Zn between the genotypes. Whole genome sequencing generated ̴ 12 Gb clean data. Comparative genome analysis identified 254 genomic variants in the candidate genes associated with deleterious effect on protein function.

CONCLUSIONS

The present study demonstrated the fundamental in understanding the genomic variations for Fe and Zn enrichment to generate healthier wheat grains.

Physiological and molecular responses to combinatorial iron and phosphate deficiencies in hexaploid wheat seedlings

Iron (Fe) and phosphorus (P) are the essential mineral nutrients for plant growth and development. However, the molecular interaction of the Fe and P pathways in crops remained largely obscure. In this study, we provide a comprehensive physiological and molecular analysis of hexaploid wheat response to single (Fe, P) and its combinatorial deficiencies. Our data showed that inhibition of the primary root growth occurs in response to Fe deficiency; however, growth was rescued when combinatorial deficiencies occurred. Analysis of RNAseq revealed that distinct molecular rearrangements during combined deficiencies with predominance for genes related to metabolic pathways and secondary metabolite biosynthesis primarily include genes for UDP-glycosyltransferase, cytochrome-P450s, and glutathione metabolism. Interestingly, the Fe-responsive cis-regulatory elements in the roots in Fe stress conditions were enriched compared to the combined stress. Our metabolome data also revealed the accumulation of distinct metabolites such as amino-isobutyric acid, arabinonic acid, and aconitic acid in the combined stress environment. Overall, these results are essential in developing new strategies to improve the resilience of crops in limited nutrients.