ABSTRACT
BACKGROUND: Genetic control of gene transcription is a key component in genome evolution. To understand the transcriptional basis of natural variation, we have studied genome-wide variations in transcription and characterized the genetic variations in regulatory elements among Arabidopsis accessions. RESULTS: Among five accessions (Col-0, C24, Ler, WS-2, and NO-0) 7,508 probe sets with no detectable genomic sequence variations were identified on the basis of the comparative genomic hybridization to the Arabidopsis GeneChip microarray, and used for accession-specific transcriptome analysis. Two-way ANOVA analysis has identified 60 genes whose mRNA levels differed in different accession backgrounds in an organ-dependent manner. Most of these genes were involved in stress responses and late stages of plant development, such as seed development. Correlation analysis of expression patterns of these 7,508 genes between pairs of accessions identified a group of 65 highly plastic genes with distinct expression patterns in each accession. CONCLUSION: Genes that show substantial genetic variation in mRNA level are those with functions in signal transduction, transcription and stress response, suggesting the existence of variations in the regulatory mechanisms for these genes among different accessions. This is in contrast to those genes with significant polymorphisms in the coding regions identified by genomic hybridization, which include genes encoding transposon-related proteins, kinases and disease-resistance proteins. While relatively fewer sequence variations were detected on average in the coding regions of these genes, a number of differences were identified from the upstream regions, several of which alter potential cis-regulatory elements. Our results suggest that nucleotide polymorphisms in regulatory elements of genes encoding controlling factors could be primary targets of natural selection and a driving force behind the evolution of Arabidopsis accessions.
Subject(s)
Arabidopsis/genetics , Gene Expression Regulation, Plant , Genetic Variation/genetics , Transcription, Genetic/genetics , Flowers/genetics , Gene Expression Profiling , Gene Expression Regulation, Developmental , Microarray Analysis , Polymorphism, Genetic , RNA, Messenger/genetics , RNA, Messenger/metabolism , Regression Analysis , Regulatory Sequences, Nucleic Acid/genetics , Reproducibility of Results , Species SpecificityABSTRACT
A capillary gel electrophoresis based automated DNA fraction collection technique was developed to support a novel DNA fragment-pooling strategy for expressed sequence tag (EST) library construction. The cDNA population is first cleaved by BsaJ I and EcoR I restriction enzymes, and then subpooled by selective ligation with specific adapters followed by polymerase chain reaction (PCR) amplification and labeling. Combination of this cDNA fingerprinting method with high-resolution capillary gel electrophoresis separation and precise fractionation of individual cDNA transcript representatives avoids redundant fragment selection and concomitant repetitive sequencing of abundant transcripts. Using a computer-controlled capillary electrophoresis device the transcript representatives were separated by their size and fractions were automatically collected in every 30 s into 96-well plates. The high resolving power of the sieving matrix ensured sequencing grade separation of the DNA fragments (i.e., single-base resolution) and successful fraction collection. Performance and precision of the fraction collection procedure was validated by PCR amplification of the collected DNA fragments followed by capillary electrophoresis analysis for size and purity verification. The collected and PCR-amplified transcript representatives, ranging up to several hundred base pairs, were then sequenced to create an EST library.
Subject(s)
DNA/genetics , DNA/isolation & purification , Electrophoresis, Capillary/methods , Expressed Sequence Tags , Animals , Base Sequence , DNA Fingerprinting , Deoxyribonuclease EcoRI , Deoxyribonucleases, Type II Site-Specific , Fluorescent Dyes , Mice , Polymerase Chain Reaction , RNA, Messenger/geneticsABSTRACT
An open architecture mRNA profiling technology, LEAD (Ligation specificity-based Expression Analysis Display), was developed for studying differential gene expression. This method utilizes restriction enzymes with N(m) degeneracy in their recognition/cleavage sequences to fractionate cDNA population (N represents any one of the four possible bases; while m > or = 1, represents the number of degenerate bases). The fractionated cDNAs are subpooled by selective ligation with specific adapters, and then amplified and labeled by PCR. Fluorescent-labeled cDNA fingerprints are separated by electrophoresis as distinct bands with unique size and sequence, and quantified electronically by using the LEAD Finder program. The specificity of ligation and the uniform efficiency of PCR reaction allow precise quantification of differential gene expression among samples. Transcripts of low abundance (1/100,000 copies) can be detected, allowing the status of nearly all mRNA to be monitored. Because of its sequence independence, this technology can be used to monitor gene expression in both model and nonmodel systems lacking whole genome information. It can also be applied to separate and collect different cDNA species fingerprints to build a nonredundant EST library for microarray and other applications.
