DNA composition dynamics across genomes of diverse taxonomy is a major subject of genome analyses. DNA composition changes are characteristics of both replication and repair machineries. We investigated 3,611,007 single nucleotide polymorphisms (SNPs) generated by comparing two sequenced rice genomes from distant inbred lines (subspecies), including those from 242,811 introns and 45,462 protein-coding sequences (CDSs). Neighboring-nucleotide effects (NNEs) of these SNPs are diverse, depending on structural content-based classifications (genome-wide, intronic, and CDS) and sequence context-based categories (A/C, A/G, A/T, C/G, C/T, and G/T substitutions) of the analyzed SNPs. Strong and evident NNEs and nucleotide proportion biases surrounding the analyzed SNPs were observed in 1-3 bp sequences on both sides of an SNP. Strong biases were observed around neighboring nucleotides of protein-coding SNPs, which exhibit a periodicity of three in nucleotide content, constrained by a combined effect of codon-related rules and DNA repair mechanisms. Unlike a previous finding in the human genome, we found negative correlation between GC contents of chromosomes and the magnitude of corresponding bias of nucleotide C at -1 site and G at +1 site. These results will further our understanding of the mutation mechanism in rice as well as its evolutionary implications.
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http://dx.doi.org/10.1016/s1672-0229(05)03021-4 | DOI Listing |
G3 (Bethesda)
April 2023
Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC, 28223, USA.
The Context-dependent Mutation Analysis Package and Visualization Software (CDMAP/CDVIS) is an automated, modular toolkit used for the analysis and visualization of context-dependent mutation patterns (site-specific variation in mutation rate from neighboring-nucleotide effects). The CDMAP computes context-dependent mutation rates using a Variant Call File (VCF), Genbank file, and reference genome and can generate high-resolution figures to analyze variation in mutation rate across spatiotemporal scales. This algorithm has been benchmarked against mutation accumulation data but can also be used to calculate context-dependent mutation rates for polymorphism or closely related species as long as the input requirements are met.
View Article and Find Full Text PDFMethods Mol Biol
February 2023
Faculty of Agriculture, Saga University, Saga, Japan.
Targeted single-nucleotide polymorphism (SNP) genotyping, especially for functional nucleotide polymorphism, is widely used for current breeding programs in crops. One of the cost- and time-effective approaches for genotyping is high-resolution melting (HRM) analysis for polymerase chain reaction (PCR) amplicons, including target SNP. The reliability of a genotype obtained from an HRM marker depends on the difference in T values between two amplicons.
View Article and Find Full Text PDFBreed Sci
June 2020
The United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-0065, Japan.
Novel mutant alleles related to isoflavone content are useful for breeding programs to improve the disease resistance and nutritional content of soybean. However, identification of mutant alleles from high-density mutant libraries is expensive and time-consuming because soybean has a large, complicated genome. Here, we identified the gene responsible for increased genistein-to-daidzein ratio in seed of the mutant line F333ES017D9.
View Article and Find Full Text PDFPLoS One
July 2020
Program in Bioinformatics and Proteomics/Genomics, University of Toledo, Toledo, OH, United States of America.
We examined seventy million well-characterized human mutations, and their impact on G+C-compositional dynamics, in order to understand the formation and maintenance of major genomic nucleotide sequence patterns. Among novel mutations, those that change a strong (S) base pair G:C/C:G to a weak (W) pair A:T/T:A occur at nearly twice the frequency of the opposite mutations. Such imbalance puts strong downward pressure on overall GC-content.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
May 2013
Graphical representations provide us with a tool allowing visual inspection of the sequences. To visualize and compare different DNA sequences, a novel alignment-free method is proposed in this paper for both graphical representation and similarity analysis of sequences. We introduce a transformation to represent each DNA sequence with neighboring nucleotide matrix.
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