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您的检索式：作者名="Sunil Archak"
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| 1 | Computational Prediction of Rice (Oryza sativa) miRNA Targets显示文摘Bioinformatic approaches have complemented experimental efforts to inventorize plant miRNA targets. We carried out global computational analysis of rice (Oryza sativa) transcriptome to generate a comprehensive list of putative miRNA targets. Our predictions (684 unique transcripts) showed that rice miRNAs mediate regu-lation of diverse functions including transcription (41%),catalysis (28%),binding (18%),and transporter activity (11%). Among the predicted targets,61.7% hits were in coding regions and nearly 72% targets had a solitary miRNA hit. The study predicted more than 70 novel targets of 34 miRNAs putatively regulating functions like stress-response,catalysis,and binding. It was observed that more than half (55%) of the targets were conserved between O. sativa indica and O. sativa japonica. Members of 31 miRNA families were found to possess conserved targets between rice and at least one of other grass family members. About 44% of the unique targets were common between two dissimilar miRNA prediction al-gorithms. Such an extent of cross-species conservation and algorithmic consensus confers confidence in the list of rice miRNA targets predicted in this study. | Sunil Archak J.Nagaraju | 2007 | Genomics, Proteomics & Bioinformatics2007，5，3： | 8 |
| 2 | Characterization of chickpea germplasm conserved in the Indian National Genebank and development of a core set using qualitative and quantitative trait data显示文摘Chickpea is the third most important pulse crop as a source of dietary protein. Ever-increasing demand in Asian countries calls for breeding superior desi-type varieties, in turn necessitating the availability of characterized germplasm to breeders. The Indian National Genebank,located at the National Bureau of Plant Genetic Resources, New Delhi, conserves 14,651 accessions of chickpea. The entire set was characterized in a single large-scale experiment.High variation was observed for eight quantitative and 12 qualitative agro-morphological traits. Allelic richness procedure was employed to assemble a core set comprising 1103 accessions, 70.0% of which were of Indian origin. Comparable values of total variation explained by the first three principal components in the entire collection(51.1%) and the core(52.4%)together with conservation of nine pairwise r values among quantitative traits in the core collection and a coincidence rate around 99.7% indicated that the chickpea core was indeed an excellent representation of the entire chickpea collection in the National Genebank. The chickpea core exhibited greater diversity than the entire collection in agro-morphological traits, as assessed by higher variance and Shannon–Weaver diversity indices, indicating that the chickpea core maximized the phenotypic diversity available in the Indian chickpea germplasm. The chickpea core, comprising mainly indigenous desi genotypes, is expected to be an excellent resource for chickpea breeders. Information on the chickpea core can be accessed at http://gffzz905398e276204fc7hovcwuonu6vuo6c0v.ffgz.tsg.suse.edu.cn/pgrportal. | Sunil Archak Rishi K.Tyagi P.N.Harer L.B.Mahase Neeta Singh Om P.Dahiya M.Abdul Nizar Mohar Singh Vrushali Tilekar Vikas Kumar Manoranjan Dutta Narendra P.Singh Kailash C.Bansal | 2016 | The Crop Journal2016，4，5： | 7 |
| 3 | Analysis of genetic diversity of Indian mango cultivars using RAPD markers显示文摘 | Karihaloo JL Dwived YK Sunil Archak | 2003 | The Journal of Horticultural Science & Biotechnology2003，78，3： | 1 |
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