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Ascribing Functions to Genes: Journey Towards Genetic Improvement of Rice Via Functional Genomics

Rice, one of the most important cereal crops for mankind, feeds more than half the world population. Rice has been heralded as a model cereal owing to its small genome size, amenability to easy transformation, high synteny to other cereal crops and availability of complete genome sequence. Moreover,...

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Autores principales: Mustafiz, Ananda, Kumari, Sumita, Karan, Ratna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869004/
https://www.ncbi.nlm.nih.gov/pubmed/27252584
http://dx.doi.org/10.2174/1389202917666160202215135
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author Mustafiz, Ananda
Kumari, Sumita
Karan, Ratna
author_facet Mustafiz, Ananda
Kumari, Sumita
Karan, Ratna
author_sort Mustafiz, Ananda
collection PubMed
description Rice, one of the most important cereal crops for mankind, feeds more than half the world population. Rice has been heralded as a model cereal owing to its small genome size, amenability to easy transformation, high synteny to other cereal crops and availability of complete genome sequence. Moreover, sequence wealth in rice is getting more refined and precise due to resequencing efforts. This humungous resource of sequence data has confronted research fraternity with a herculean challenge as well as an excellent opportunity to functionally validate expressed as well as regulatory portions of the genome. This will not only help us in understanding the genetic basis of plant architecture and physiology but would also steer us towards developing improved cultivars. No single technique can achieve such a mammoth task. Functional genomics through its diverse tools viz. loss and gain of function mutants, multifarious omics strategies like transcriptomics, proteomics, metabolomics and phenomics provide us with the necessary handle. A paradigm shift in technological advances in functional genomics strategies has been instrumental in generating considerable amount of information w.r.t functionality of rice genome. We now have several databases and online resources for functionally validated genes but despite that we are far from reaching the desired milestone of functionally characterizing each and every rice gene. There is an urgent need for a common platform, for information already available in rice, and collaborative efforts between researchers in a concerted manner as well as healthy public-private partnership, for genetic improvement of rice crop better able to handle the pressures of climate change and exponentially increasing population.
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spelling pubmed-48690042016-12-01 Ascribing Functions to Genes: Journey Towards Genetic Improvement of Rice Via Functional Genomics Mustafiz, Ananda Kumari, Sumita Karan, Ratna Curr Genomics Article Rice, one of the most important cereal crops for mankind, feeds more than half the world population. Rice has been heralded as a model cereal owing to its small genome size, amenability to easy transformation, high synteny to other cereal crops and availability of complete genome sequence. Moreover, sequence wealth in rice is getting more refined and precise due to resequencing efforts. This humungous resource of sequence data has confronted research fraternity with a herculean challenge as well as an excellent opportunity to functionally validate expressed as well as regulatory portions of the genome. This will not only help us in understanding the genetic basis of plant architecture and physiology but would also steer us towards developing improved cultivars. No single technique can achieve such a mammoth task. Functional genomics through its diverse tools viz. loss and gain of function mutants, multifarious omics strategies like transcriptomics, proteomics, metabolomics and phenomics provide us with the necessary handle. A paradigm shift in technological advances in functional genomics strategies has been instrumental in generating considerable amount of information w.r.t functionality of rice genome. We now have several databases and online resources for functionally validated genes but despite that we are far from reaching the desired milestone of functionally characterizing each and every rice gene. There is an urgent need for a common platform, for information already available in rice, and collaborative efforts between researchers in a concerted manner as well as healthy public-private partnership, for genetic improvement of rice crop better able to handle the pressures of climate change and exponentially increasing population. Bentham Science Publishers 2016-06 2016-06 /pmc/articles/PMC4869004/ /pubmed/27252584 http://dx.doi.org/10.2174/1389202917666160202215135 Text en ©2016 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Mustafiz, Ananda
Kumari, Sumita
Karan, Ratna
Ascribing Functions to Genes: Journey Towards Genetic Improvement of Rice Via Functional Genomics
title Ascribing Functions to Genes: Journey Towards Genetic Improvement of Rice Via Functional Genomics
title_full Ascribing Functions to Genes: Journey Towards Genetic Improvement of Rice Via Functional Genomics
title_fullStr Ascribing Functions to Genes: Journey Towards Genetic Improvement of Rice Via Functional Genomics
title_full_unstemmed Ascribing Functions to Genes: Journey Towards Genetic Improvement of Rice Via Functional Genomics
title_short Ascribing Functions to Genes: Journey Towards Genetic Improvement of Rice Via Functional Genomics
title_sort ascribing functions to genes: journey towards genetic improvement of rice via functional genomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869004/
https://www.ncbi.nlm.nih.gov/pubmed/27252584
http://dx.doi.org/10.2174/1389202917666160202215135
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