Structural and functional analysis of rice genome.
Rice is an excellent system for plant genomics as it represents a modest size genome of 430 Mb. It feeds more than half the population of the world. Draft sequences of the rice genome, derived by whole-genome shotgun approach at relatively low coverage (4-6 X), were published and the International Rice Genome Sequencing Project (IRGSP) declared high quality (>10 X), genetically anchored, phase 2 level sequence in 2002. In addition, phase 3 level finished sequence of chromosomes 1, 4 and 10 (out of 12 chromosomes of rice) has already been reported by scientists from IRGSP consortium. Various estimates of genes in rice place the number at >50,000. Already, over 28,000 full-length cDNAs have been sequenced, most of which map to genetically anchored genome sequence. Such information is very useful in revealing novel features of macro- and micro-level synteny of rice genome with other cereals. Microarray analysis is unraveling the identity of rice genes expressing in temporal and spatial manner and should help target candidate genes useful for improving traits of agronomic importance. Simultaneously, functional analysis of rice genome has been initiated by marker-based characterization of useful genes and employing functional knock-outs created by mutation or gene tagging. Integration of this enormous information is expected to catalyze tremendous activity on basic and applied aspects of rice genomics.
Tyagi
Akhilesh K
AK
Department of Plant Molecular Biology, University of Delhi South Campus, Benito Juarez Road, New Delhi 110 021, India. akhilesh@genomeindia.org
Khurana
Jitendra P
JP
Khurana
Paramjit
P
Raghuvanshi
Saurabh
S
Gaur
Anumapa
A
Kapur
Anita
A
Gupta
Vikrant
V
Kumar
Dibyendu
D
Ravi
V
V
Vij
Shubha
S
Khurana
Parul
P
Sharma
Sulabha
S
D032461:Chromosomes, Plant; D019295:Computational Biology; D018744:DNA, Plant; D017353:Gene Deletion; D017343:Genes, Plant; D018745:Genome, Plant; D023281:Genomics; D016254:Mutagenesis, Insertional; D012275:Oryza / Q000235:genetics* / Q000378:metabolism / Q000502:physiology; D020161:Physical Chromosome Mapping
D018744:DNA, Plant