Utility of different gene enrichment approaches toward identifying and sequencing the maize gene space

• Published in: Plant physiology (Bethesda) 2004-10, Vol.136 (2), p.3023-3033
• Main Authors: Springer, N.M, Xu, X, Barbazuk, W.B
• Format: Article
• Language: English
• Subjects: Base Sequence; Biological and medical sciences; Blasts; Complementary DNA; Computational Biology; Corn; Databases, Genetic; Datasets; DNA, Plant - chemistry; Expressed Sequence Tags; Fundamental and applied biological sciences. Psychology; Genes; Genes. Genome; genome; Genome Analysis; Genome, Plant; Genomes; Genomic Library; Genomics; Genomics - methods; Libraries; Molecular and cellular biology; Molecular genetics; Nucleotides; plant proteins; promoter regions; Promoter Regions, Genetic; sequence analysis; Sequence Analysis, DNA; Sequence Homology, Nucleic Acid; Sequencing; Zea mays; Zea mays - genetics
• ISSN: 0032-0889; 1532-2548
• DOI: 10.1104/pp.104.043323

Maize (Zea mays) possesses a large, highly repetitive genome, and subsequently a number of reduced-representation sequencing approaches have been used to try and enrich for gene space while eluding difficulties associated with repetitive DNA. This article documents the ability of publicly available maize expressed sequence tag and Genome Survey Sequences (GSSs; many of which were isolated through the use of reduced representation techniques) to recognize and provide coverage of 78 maize full-length cDNAs (FLCs). All 78 FLCs in the dataset were identified by at least three GSSs, indicating that the majority of maize genes have been identified by at least one currently available GSS. Both methyl-filtration and high-Cot enrichment methods provided a 7- to 8-fold increase in gene discovery rates as compared to random sequencing. The available maize GSSs aligned to 75% of the FLC nucleotides used to perform searches, while the expressed sequence tag sequences aligned to 73% of the nucleotides. Our data suggest that at least approximately 95% of maize genes have been tagged by at least one GSS. While the GSSs are very effective for gene identification, relatively few (18%) of the FLCs are completely represented by GSSs. Analysis of the overlap of coverage and bias due to position within a gene suggest that RescueMu, methyl-filtration, and high-Cot methods are at least partially nonredundant.