Transcriptome and methylome interactions in rice hybrids.
DNA methylation is a heritable epigenetic mark that controls gene expression, is responsive to environmental stresses, and, in plants, may also play a role in heterosis. To determine the degree to which DNA methylation is inherited in rice, and how it both influences and is affected by transcription, we performed genome-wide measurements of these patterns through an integrative analysis of bisulfite-sequencing, RNA-sequencing, and siRNA-sequencing data in two inbred parents of the Nipponbare (NPB) and indica (93-11) varieties of rice and their hybrid offspring. We show that SNPs occur at a rate of about 1/253 bp between the two parents and that these are faithfully transmitted into the hybrids. We use the presence of these SNPs to reconstruct the two chromosomes in the hybrids according to their parental origin. We found that, unlike genetic inheritance, epigenetic heritability is quite variable. Cytosines were found to be differentially methylated (epimutated) at a rate of 7.48% (1/15 cytosines) between the NPB and 93-11 parental strains. We also observed that 0.79% of cytosines were epimutated between the parent and corresponding hybrid chromosome. We found that these epimutations are often clustered on the chromosomes, with clusters representing 20% of all epimutations between parental ecotypes, and 2-5% in F1 plants. Epimutation clusters are also strongly associated with regions where the production of siRNA differs between parents. Finally, we identified genes with both allele-specific expression patterns that were strongly inherited as well as those differentially expressed between hybrids and the corresponding parental chromosome. We conclude that much of the misinheritance of expression levels is likely caused by epimutations and trans effects.
Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA 90095, USA.
Ramakrishna K
RK
Chodavarapu
Suhua
S
Feng
Bo
B
Ding
Stacey A
SA
Simon
David
D
Lopez
Yulin
Y
Jia
Guo-Liang
GL
Wang
Blake C
BC
Meyers
Steven E
SE
Jacobsen
Matteo
M
Pellegrini
D001483:Base Sequence; D019295:Computational Biology; D019175:DNA Methylation / Q000235:genetics*; D015723:Gene Library; D023281:Genomics / Q000379:methods; D006824:Hybridization, Genetic / Q000235:genetics*; D040582:Inheritance Patterns / Q000235:genetics*; D008969:Molecular Sequence Data; D059645:Mutation Rate; D012275:Oryza / Q000235:genetics* / Q000378:metabolism; D020641:Polymorphism, Single Nucleotide / Q000235:genetics; D034741:RNA, Small Interfering / Q000235:genetics; D017422:Sequence Analysis, DNA; D059467:Transcriptome / Q000235:genetics*
D034741:RNA, Small Interfering