An Integrated Physical and Genetic Map of the Rice Genome
Author(s) -
Mingsheng Chen,
Gernot G. Presting,
W. Brad Barbazuk,
José Luis Goicoechea,
Barbara P Blackmon,
GuangChen Fang,
HyeRan Kim,
David Frisch,
Yeisoo Yu,
Shouhong Sun,
Stephanie Higingbottom,
John Phimphilai,
Dao Phimphilai,
Scheen Thurmond,
Brian T. Gaudette,
Ping Li,
Jingdong Liu,
Jamie Hatfield,
Dorrie Main,
Kasey Farrar,
Caroline Henderson,
Laura Barnett,
Ravi Mario Costa,
Brian Williams,
Suzanne Walser,
Michael B. Atkins,
Caroline R. Hall,
Muhammad Arief Budiman,
Jeffery P. Tomkins,
Meizhong Luo,
Ian Bancroft,
Jérôme Salse,
Farid Regad,
Trilochan Mohapatra,
Nagendra K. Singh,
Akhilesh K. Tyagi,
Carol Soderlund,
Ralph A. Dean,
Rod A. Wing
Publication year - 2002
Publication title -
the plant cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.324
H-Index - 341
eISSN - 1532-298X
pISSN - 1040-4651
DOI - 10.1105/tpc.010485
Subject(s) - biology , genome , synteny , genetics , genome project , genome size , dna sequencing , chromosome , bacterial artificial chromosome , gene mapping , whole genome sequencing , contig , gene , computational biology
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.
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