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Author: search.filters.author.Sonah, HumiraSubject: search.filters.subject.Rice

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    A CRISPR-Cas9 library to target putative redundant gene sets facilitates their functional exploration in grain development in rice
    (Springer Nature Publishing AG, 2025) Yadav, Banita; Sardar, Shaswati; Yadav, Anil; Kumari, Annapurna; Gautam, Mohini; Mandlik, Rushil; Arora, Simran; Kumar, Shailesh; Jewaria, Pawan Kumar; Sonah, Humira; Deshmukh, Rupesh; Chinnusamy, Viswanathan; Ram, Hasthi
    Advent of CRISPR-Cas9 library approach has revolutionized the field of high throughput targeted mutagenesis in plants. By identifying an sgRNA spacer that can target multiple paralogous genes in a genome, higher-order knockout plants can be developed. Using this concept, we developed ten CRISPR-Cas9 pool libraries and generated higher-order knockout plants in rice. Towards this, firstly we identified genome-wide sets of genes which are co-expressed and have high sequence similarity and can be targeted by a single sgRNA. Based on the expression pattern, these genes were divided into ten groups, and subsequently ten CRISPR-Cas9 plasmid libraries were developed. One such library designed against seed-expressed genes was transformed into rice and higher-order knockout plants were developed. Genotyping revealed that around 90% T0 plants had editing, and among the edited plants majority of them were higher-order knockouts. Phenotypic analysis in the next generation discovered functions of several seed specific genes in grain length, width, number and 100-grain weight. By analyzing single and double mutants for two Agenet domain-containing proteins, we have discovered an epistatic interaction between them for grain development. Further application of our approach will help to uncover hidden functions of the targeted genes and accelerate functional genomics research in rice. The CRISPR-Cas9 library is a useful approach to generate higher-order knockout mutants and identify functions of the targeted genes in rice.
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    Identification and molecular characterization of rice bran-specific lipases
    (Springer Nature Publishing AG, 2021) Bansal, Sakshi; Sardar, Shaswati; Sinha, Kshitija; Bhunia, Rupam Kumar; Katoch, Megha; Sonah, Humira; Deshmukh, Rupesh; Ram, Hasthi
    Key message Among the 113 lipases present in rice genome, bran and endosperm-specifc lipases were identifed and lipase activity for one of the selected lipase gene is demonstrated in yeast. Abstract: Rice bran is nutritionally superior than endosperm as it has major reservoirs of various minerals, vitamins, essential mineral oils and other bioactive compounds, however it is often under-utilized as a food product due to bran instability after milling. Various hydrolytic enzymes, such as lipases, present in bran causes degradation of the lipids present and are responsible for the bran instability. Here, in this study, we have systematically analyzed the 113 lipase genes present in rice genome, and identifed 21 seed-specifc lipases. By analyzing the expression of these genes in diferent seed tissues during seed development, we have identifed three bran-specifc and three endosperm-specifc lipases, and one lipase which expresses in both bran and endosperm tissues. Further analysis of these genes during seed maturation and seed germination revealed that their expression increases during seed maturation and decreases during seed germination. Finally, we have shown the lipase activity for one of the selected genes, LOC_Os05g30900, in heterologous system yeast. The bran-specifc lipases identifed in this study would be very valuable for engineering designer rice varieties having increased bran stability in post-milling.
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    Reference gene identification for gene expression analysis in rice under different metal stress
    (Elsevier B.V., 2021) Soni, Praveen; Shivhare, Radha; Kaur, Amandeep; Bansal, Sakshi; Sonah, Humira; Deshmukh, Rupesh; Giri, Jitender; Lata, Charu; Ram, Hasthi
    Real-time quantitative polymerase chain reaction (RT-qPCR) is the most common approach to quantify changes in gene expression. Appropriate internal reference genes are essential for normalization of data of RT-qPCR. In the present study, we identified suitable reference genes for gene expression analysis in rice seedlings subjected to different heavy metal stresses such as deficiencies of iron and zinc and toxicities of cobalt, cadmium and nickel. First, from publically available RNA-Seq data we identified 10 candidate genes having stable expression. We also included commonly used house-keeping gene OsUBQ5 (Ubiquitin 5) in our analysis. Expression stability of all the 11 genes was determined by two independent tools, NormFinder and geNorm. Our results show that selected candidate reference genes have higher stability in their expression compared to that of OsUBQ5. Genes with locus ID LOC_Os03g16690, encoding an oxysterol-binding protein (OsOBP) and LOC_Os01g56580, encoding Casein Kinase_1a.3 (OsCK1a.3) were identified to be the most stably expressed reference genes under most of the conditions tested. Finally, the study reveals that it is better to use a specific reference gene for a specific heavy metal stress condition rather than using a common reference gene for multiple heavy metal stress conditions. The reference genes identified here would be very useful for gene expression studies under heavy metal stresses in rice.