DNA methylation and gene expression in Mimulus guttatus

被引:27
作者
Colicchio, Jack M. [1 ]
Miura, Fumihito [2 ]
Kelly, John K. [1 ]
Ito, Takashi [2 ]
Hileman, Lena C. [1 ]
机构
[1] Univ Kansas, Dept Ecol & Evolutionary Biol, Lawrence, KS 66045 USA
[2] Dept Biochem, Dept Med Biochem, Fukuoka 8128581, Japan
来源
BMC GENOMICS | 2015年 / 16卷
关键词
EPIGENETIC INHERITANCE; PHENOTYPIC PLASTICITY; TRANSPOSABLE ELEMENTS; MEIOTIC RECOMBINATION; CYTOSINE METHYLATION; TRICHOME DENSITY; CG METHYLATION; SMALL RNAS; PATTERNS; PLANTS;
D O I
10.1186/s12864-015-1668-0
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: The presence of methyl groups on cytosine nucleotides across an organism's genome (methylation) is a major regulator of genome stability, crossing over, and gene regulation. The capacity for DNA methylation to be altered by environmental conditions, and potentially passed between generations, makes it a prime candidate for transgenerational epigenetic inheritance. Here we conduct the first analysis of the Mimulus guttatus methylome, with a focus on the relationship between DNA methylation and gene expression. Results: We present a whole genome methylome for the inbred line Iron Mountain 62 (IM62). DNA methylation varies across chromosomes, genomic regions, and genes. We develop a model that predicts gene expression based on DNA methylation (R-2 = 0.2). Post hoc analysis of this model confirms prior relationships, and identifies novel relationships between methylation and gene expression. Additionally, we find that DNA methylation is significantly depleted near gene transcriptional start sites, which may explain the recently discovered elevated rate of recombination in these same regions. Conclusions: The establishment here of a reference methylome will be a useful resource for the continued advancement of M. guttatus as a model system. Using a model-based approach, we demonstrate that methylation patterns are an important predictor of variation in gene expression. This model provides a novel approach for differential methylation analysis that generates distinct and testable hypotheses regarding gene expression.
引用
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页数:15
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