The Promoter Signatures in Rice LEA Genes Can Be Used to Build a Co-expressing LEA Gene Network

作者
Stuart Meier,Chris Gehring,Cameron Ross MacPherson,Mandeep Kaur,Monique Maqungo,Sheela Reuben,M. Samson,Ming-Der Shih,Fu‐Jin Wei,Samart Wanchana,Ramil Mauleon,Aleksandar Radovanović,Richard Bruskiewich,Tsuyoshi Tanaka,Bijayalaxmi Mohanty,Takeshi Itoh,Rod A. Wing,Takashi Gojobori,Takuji Sasaki,Sanjay Swarup
出处
期刊:Rice [Springer Science+Business Media]
卷期号:1 (2): 177-187 被引量:15
标识
DOI:10.1007/s12284-008-9017-4
摘要

Coordinated transcriptional modulation of large gene sets depends on the combinatorial use of cis -regulatory motifs in promoters. We postulate that promoter content similarities are diagnostic for co-expressing genes that function coherently during specific cellular responses. To find the co-expressing genes we propose an ab initio method that identifies motif families in promoters of target gene groups, map these families to the promoters of all genes in the genome, and determine the best matches of each of the target group gene promoters with all other promoters. When the method was tested in rice starting from a group of co-expressing Late Embryogenesis Abundant (LEA) genes, we obtained a promoter similarity-based network that contained candidate genes that could plausibly complement the function of LEA genes. Importantly, 73.36% of 244 genes predicted by our method were experimentally confirmed to co-express with the LEA genes in maturing rice embryos, making this methodology a promising tool for biological systems analyses.

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