April 5, 2002
Here, GNN highlights six papers on crop genomics related to the feature Two Groups Sequence Rice: Combining draft sequences may accelerate completion of finished genome
In the past few years, approaches such as molecular cytogenetics and the use of molecular markers have permitted significant advances in the establishment of the evolutionary origin and genome structure of sugarcane, an important polyploid crop. The availability of new resources, such as a bacterial artificial chromosome library and a huge collection of expressed sequence tags, has opened the gateway to promising functional analyses on a genomic scale.
Curr Opin Plant Biol 2002 Apr;5(2):122-7.
Although concerted efforts to understand selected botanical models have been made, the resulting basic knowledge varies in its applicability to other diverse species including the major crops. Recent advances in high-throughput genomics are offering new avenues through which to exploit model systems for the study of botanical diversity, providing prospects for crop improvement. In particular, whole-genome sequencing has provided opportunities for the broader application of reverse genetics, expression profiling, and molecular mapping in diverse species.
Curr Opin Plant Biol 2002 Apr;5(2):141-5.
Rice was chosen as a model organism for genome sequencing because of its economic importance, small genome size, and syntenic relationship with other cereal species. We have constructed a bacterial artificial chromosome fingerprint-based physical map of the rice genome to facilitate the whole-genome sequencing of rice. Most of the rice genome (approximately 90.6%) was anchored genetically by overgo hybridization, DNA gel blot hybridization, and in silico anchoring. Genome sequencing data also were integrated into the rice physical map. Comparison of the genetic and physical maps reveals that recombination is suppressed severely in centromeric regions as well as on the short arms of chromosomes 4 and 10. This integrated high-resolution physical map of the rice genome will greatly facilitate whole-genome sequencing by helping to identify a minimum tiling path of clones to sequence. Furthermore, the physical map will aid map-based cloning of agronomically important genes and will provide an important tool for the comparative analysis of grass genomes.
Plant Cell 2002 Mar;14(3):537-545.
Gramene (http://www.gramene.org) is a comparative genome mapping database for grasses and a community resource for rice. Rice, in addition to being an economically important crop, is also a model monocot for understanding other agronomically important grass genomes. Gramene replaces the existing AceDB database 'RiceGenes' with a relational database based on Oracle. Gramene provides curated and integrative information about maps, sequence, genes, genetic markers, mutants, QTLs, controlled vocabularies and publications. Its aims are to use the rice genetic, physical and sequence maps as fundamental organizing units, to provide a common denominator for moving from one crop grass to another and is to serve as a portal for interconnecting with other web-based crop grass resources. This paper describes the initial steps we have taken towards realizing these goals.
Nucleic Acids Res 2002 Jan 1;30(1):103-5.
Much of our most basic understanding of genetics has its roots in plant genetics and crop breeding. The study of plants has led to important insights into highly conserved biological process and a wealth of knowledge about development. Agriculture is now well positioned to take its share benefit from genomics. The primary sequences of most plant genes will be determined over the next few years. Informatics and functional genomics will help identify those genes that can be best utilized to crop production and quality through genetic engineering and plant breeding. Recent developments in plant genomics are reviewed.
Biotechnol Annu Rev 2001;7:195-238.
As rice genomics data continue to accumulate at a rapid rate, are becoming more valuable to warehouse and access large and rigorous data sets. This article gives an overview of available resources on rice bioinformatics and their role in elucidating and propagating biological and genomic information in rice. Of particular focus here is the informatics infrastructure developed at the Rice Genome Research Program (RGP) following an extensive rice genome analysis. The database named INE (Integrated Rice Genome Explorer) integrates the genetic and physical mapping information with the genome sequence being generated in collaboration with the International Rice Genome Sequencing Project (IRGSP). Database links are initially evaluated using an interoperable query tool to explore and compare data across the rice and maize genome databases and potential application to multiple crop database querying. A proposed logistics for interlinking these resources is presented to integrate, manipulate and analyze information on the rice genome. One of the biggest challenges of rice bioinformatics lies in the emerging role of rice as a model system among grass crop species. In view of the importance of comparative genetics in the formulation of new knowledge on plant genomes and genes, comparative bioinformatics remains an essential strategy to gain new insights on the needs and expectations on rice genomics.
Genome Inform Ser Workshop Genome Inform 2000;11:3-11.
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