Genome-wide profiling of miRNAs during seed development reveals their functional relevance in seed size/weight determination in chickpea.

MicroRNAs (miRNAs) are non-coding small RNAs that regulate gene expression at transcriptional and post-transcriptional levels. The role of miRNAs in seed development and seed size/weight determination is poorly understood in legumes. In this study, we profiled miRNAs at seven successive stages of seed development in a small-seeded and a large-seeded chickpea cultivar via small RNA sequencing.

Opening the dialogue: Research networks between high- and low-income countries further understanding of global agro-climatic challenges.

Societal Impact Statement In the modern world it has become increasingly urgent to balance human food security needs with environmental needs. These needs are not necessarily mutually exclusive, and can be synergistic. The Cambridge-India Network for Translational Research in Nitrogen (CINTRIN) seeks to reduce nitrogen fertilizer overapplication (and the resulting environmental pollution) in Indian agriculture: a situation with various scientific and sociopolitical drivers, which equally have various sociopolitical and scientific solutions.

An Efficient Strategy Combining SSR Markers- and Advanced QTL-seq-driven QTL Mapping Unravels Candidate Genes Regulating Grain Weight in Rice.

Development and use of genome-wide informative simple sequence repeat (SSR) markers and novel integrated genomic strategies are vital to drive genomics-assisted breeding applications and for efficient dissection of quantitative trait loci (QTLs) underlying complex traits in rice. The present study developed 6244 genome-wide informative SSR markers exhibiting fragment length polymorphism based on repeat-unit variations among genomic sequences of 11 , and wild rice accessions. These markers were mapped on diverse coding and non-coding sequence components of known cloned/candidate genes annotated from 12 chromosomes and revealed a much higher amplification (97%) and polymorphic potential (88%) along with wider genetic/functional diversity level (16-74% with a mean 53%) especially among accessions belonging to cultivar group, suggesting their utility in large-scale genomics-assisted breeding applications in rice.