Applications of Bioinformatics in Rice Research
Editat de Manoj Kumar Gupta, Lambodar Beheraen Limba Engleză Hardback – 24 sep 2021
This book summarizes the advanced computational methods for mapping high-density linkages and quantitative trait loci in the rice genome. It also discusses the tools for analyzing metabolomics, identifying complex polyploidy genomes, and decoding the extrachromosomal genome in rice.
Further, the book highlights the application of CRISPR-Cas technology and methods for understanding the evolutionary development and the de novo evolution of genes in rice.
Lastly, it discusses the role of artificial intelligence and machine learning in rice research and computational tools to analyze plant-pathogen co-evolution in rice crops.
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Specificații
ISBN-13: 9789811639968
ISBN-10: 9811639965
Pagini: 359
Ilustrații: XV, 359 p. 21 illus., 16 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.77 kg
Ediția:1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9811639965
Pagini: 359
Ilustrații: XV, 359 p. 21 illus., 16 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.77 kg
Ediția:1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore
Cuprins
Chapter-1 Possibility of Uncoding Structural Organization of Genome in Rice: Prospects and Approaches By 3D Genome Sequencing.- Chapter-2 Bioinformatics Approaches for High Density Linkage Mapping in Rice Research.- Chapter-3 Quantitative Trait Locus Mapping in Rice.- Chapter-4 Metabolomics in Rice Improvement.- Chapter-5 Computational Approaches Towards Decoding the Extra Chromosomal Genome of Rice.- Chapter-6 Computational Epigenetics in Rice Research.- Chapter-7 Computational Approaches Towards Understanding Stress in Rice.- Chapter-8 Identifying Complex Polyploidy Genomes Using Bioinformatics Approaches.- Chapter-9 Perspectives and Challenges of Phenotyping in Rice.- Chapter-10 The CRISPR Technology and Application in Rice.- Chapter-11 De Novo Evolution of Genes in Rice.- Chapter-12 Artificial intelligence and machine learning in rice research.- Chapter-13 Intellectual Property and Rice Research.- Chapter-14 Plant Pathogen Co-Evolution in Rice .- Chapter-15 Conservation of Rice Germplasm by Bioinformatics Strategy.- Chapter-16 Recent Advances in Multi-Omics and Breeding Approaches Towards Drought Tolerance in Crops.
Notă biografică
Dr. Manoj Kumar Gupta has completed his B.Sc. (Botany (Honours)) from the Calcutta University, Kolkata in the year 2007, MCA (distance course) from ICFAI University Tripura in the year 2010, M.SC. (Biotechnology) from Berhampur University, Odisha in the year 2011, and Ph.D. (Biotechnology and Bioinformatics), Yogi Vemana University, Andhra Pradesh in the year 2019. During his Ph.D., he did an internship at Max Planck Institute of Evolutionary Biology, Germany. He is working as a Research Associate in the Crop Improvement Division under Dr. Lambodar Behera, Principal Scientist, ICAR-National Rice Research Institute, India. The central theme of his research is the application and development of computational tools and techniques to understand how specific biological functions emerge from the dynamics of biological networks. He has expertise in molecular biology, bioinformatics, structural biology, and evolutionary medicine. He has successfully guided/co-guided 3 postgraduate students for M.Sc. (Biotechnology and Bioinformatics) degrees. He has also published over 30 research articles in peer-reviewed international journal and authored or co-authored many book chapters.
Dr. LAMBODAR BEHERA has completed his B.Sc. (Agriculture) from the Orissa University of Agriculture and Technology, Bhubaneswar in the year 1989, M.Sc. (Biotechnology) from Tamil Nadu Agricultural University, Coimbatore in the year 1992, and Ph.D. (Genetics) from Osmania University, Hyderabad, India in the year 2000. He is presently working as Principal Scientist (Biotechnology) in ICAR-National Rice Research Institute, Cuttack, Odisha, India. He has significantly contributed in the field of rice molecular breeding, molecular biology, and genomics. He has significantly contributed to the development of 14 rice varieties suitable for different ecosystems of India. He has worked on the identification of QTLs/genes for resistance to BPH, gall midge, root-knot nematode and sheath blight disease, yield and related traits, tolerance to cold and drought; pyramiding of genes for BLB, submergence and drought resistance/tolerance, yield-related traits in the background of HYVs; assessment of the diversity of rice germplasm, insects, nematodes; molecular mechanism of low light tolerance; GWAS for identification of QTLs for drought tolerance, grain yield and related traits, and whole-genome sequencing of elite rice cultivars and donors, computational approach towards understanding the structural and functional role of different genes related to yield, and abiotic and biotic stress tolerance/resistance. He has developed a marker-assisted selection kit for gall midge resistance gene, Gm4 which is presently used in the incorporation of gall midge resistance gene, Gm4 into high yielding cultivars, Kavya, Lalat, Tapaswini, Swarna and Sambha Mahsuri. He has published 85 research articles in reputed National and International journals. He has written 11 book chapters, 2 popular articles, 11 technical bulletins, 2 practical manuals and handled over 12 research projects financed by DBT, DST, ICAR, BIRAC, PPV and FRA of India, and BBSRC, UK. He has successfully guided/co-guided 8 research students for Ph.D., and 35 for M.Sc. (Biotechnology and Bioinformatics) degrees. He has evaluated thesis for Ph.D., M.Phil. and M.Sc. (Biotechnology and Bioinformatics) of OUAT, Bhubaneswar; Sambalpur, University, Odisha; BAU, Ranchi, Jharkhand; BCKV, Mohanpur, West Bengal; JNTU, Osmania and PJTS Agricultural University, Hyderabad, India. Besides, he has set questions and evaluated answer papers for B.Sc. (Ag), M.Sc. (Ag), M.Sc. (Biotechnology), Ph.D. students, OUAT, BBSR, Odisha, India in the Biotechnology and Bioinformatics courses. He has received Fellow of the ISGPG-2018 from The Indian Society of Genetics and Plant Breeding, New Delhi, Rashtriya Gaurav Award-2019 from India International Friendship Society (IIFS), New Delhi, and Leading Educationalist of India in 2020 by Friendship Forum, New Delhi.
Dr. LAMBODAR BEHERA has completed his B.Sc. (Agriculture) from the Orissa University of Agriculture and Technology, Bhubaneswar in the year 1989, M.Sc. (Biotechnology) from Tamil Nadu Agricultural University, Coimbatore in the year 1992, and Ph.D. (Genetics) from Osmania University, Hyderabad, India in the year 2000. He is presently working as Principal Scientist (Biotechnology) in ICAR-National Rice Research Institute, Cuttack, Odisha, India. He has significantly contributed in the field of rice molecular breeding, molecular biology, and genomics. He has significantly contributed to the development of 14 rice varieties suitable for different ecosystems of India. He has worked on the identification of QTLs/genes for resistance to BPH, gall midge, root-knot nematode and sheath blight disease, yield and related traits, tolerance to cold and drought; pyramiding of genes for BLB, submergence and drought resistance/tolerance, yield-related traits in the background of HYVs; assessment of the diversity of rice germplasm, insects, nematodes; molecular mechanism of low light tolerance; GWAS for identification of QTLs for drought tolerance, grain yield and related traits, and whole-genome sequencing of elite rice cultivars and donors, computational approach towards understanding the structural and functional role of different genes related to yield, and abiotic and biotic stress tolerance/resistance. He has developed a marker-assisted selection kit for gall midge resistance gene, Gm4 which is presently used in the incorporation of gall midge resistance gene, Gm4 into high yielding cultivars, Kavya, Lalat, Tapaswini, Swarna and Sambha Mahsuri. He has published 85 research articles in reputed National and International journals. He has written 11 book chapters, 2 popular articles, 11 technical bulletins, 2 practical manuals and handled over 12 research projects financed by DBT, DST, ICAR, BIRAC, PPV and FRA of India, and BBSRC, UK. He has successfully guided/co-guided 8 research students for Ph.D., and 35 for M.Sc. (Biotechnology and Bioinformatics) degrees. He has evaluated thesis for Ph.D., M.Phil. and M.Sc. (Biotechnology and Bioinformatics) of OUAT, Bhubaneswar; Sambalpur, University, Odisha; BAU, Ranchi, Jharkhand; BCKV, Mohanpur, West Bengal; JNTU, Osmania and PJTS Agricultural University, Hyderabad, India. Besides, he has set questions and evaluated answer papers for B.Sc. (Ag), M.Sc. (Ag), M.Sc. (Biotechnology), Ph.D. students, OUAT, BBSR, Odisha, India in the Biotechnology and Bioinformatics courses. He has received Fellow of the ISGPG-2018 from The Indian Society of Genetics and Plant Breeding, New Delhi, Rashtriya Gaurav Award-2019 from India International Friendship Society (IIFS), New Delhi, and Leading Educationalist of India in 2020 by Friendship Forum, New Delhi.
Textul de pe ultima copertă
This book summarizes the advanced computational methods for mapping high-density linkages and quantitative trait loci in the rice genome. It also discusses the tools for analyzing metabolomics, identifying complex polyploidy genomes, and decoding the extrachromosomal genome in rice.
Further, the book highlights the application of CRISPR-Cas technology and methods for understanding the evolutionary development and the de novo evolution of genes in rice.
Lastly, it discusses the role of artificial intelligence and machine learning in rice research and computational tools to analyze plant-pathogen co-evolution in rice crops.
Caracteristici
Summarizes bioinformatics tools for analyzing the metabolomics, polyploidy genome, and extra-chromosomal genome in rice
Highlights the use of artificial intelligence and machine learning in rice research
Discusses the applications of genome editing using CRISPR-Cas 9 in rice breeding
Highlights the use of artificial intelligence and machine learning in rice research
Discusses the applications of genome editing using CRISPR-Cas 9 in rice breeding