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Whole Genome Methylation Patterns in Mungbean : 녹두의 전장유전체 메틸레이션 패턴

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dc.contributor.advisor이석하-
dc.contributor.author배아라-
dc.date.accessioned2017-07-14T06:29:55Z-
dc.date.available2017-07-14T06:29:55Z-
dc.date.issued2014-02-
dc.identifier.other000000017106-
dc.identifier.urihttps://hdl.handle.net/10371/125638-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 식물생산과학부(작물생명과학전공), 2014. 2. 이석하.-
dc.description.abstractMethylome analysis which includes DNA methylation
information in whole genome level gives lots of inheritable epigenetic
information. Whole genome DNA methylation analysis in plants have
been conducted in Arabidopsis Thaliana, Oryza sativa (rice), Populus
trichocarpa (poplar) and Glycine max (soybean). Among these, only
rice and soybean are edible crops so it is needed to study various
plants methylome. In this reason, we conducted DNA methylome
analysis of mungbean which is an important legume crop widely
cultivated in Asia. And we established the foundation of epigenetic
study of mungbean. For this, we selected two mungbean cultivars-
VC1973A (Seonhwanogdu), V2984 (Kyung-Ki Jaerae#5) and
conducted BS-seq with Sodium Bisulfite treatment. And also, we did
transcriptome analysis to see methylation information and correlation
of gene expression level and methylation. In the result, The VC1973A methylome contains 107,313,781 methylated CGs (mCG- 54.1% of all
CGs), 116,306,461 mCHG (44.3% of all CHGs) and 95,774,535
mCHH (5.5% of all CHHs) which represents a greater proportion of
methylated cytosines compared with DNA methylome for Arabidopsis
thaliana, but it is similar with soybeans
Detailed methylation status of VC1973A and V2984, data over
90 percent of methylation level with supporting depth over 10, shows
methylcytosines of VC1973A and V2984 were distributed by similar
patterns overall but ratio of mCG, mCHG and mCHH was slightly
different as 57.16%, 42.03%, 0.81% in VC1973A and 56.10%,
43.25%, 0.65% in V2984. Based this result, we made methylation
map combined with each methylation level and gene density. It
revealed that sites having higher density of methylcytosines show low
gene density of each chromosome compared with the bulk
methylcytosines regions.
In comparison of two cultivars, among total 1,244,837
methylation sites, 1,226,791 sites were conserved between two
cultivars. It means 98.6% of methylation between two cultivars is
conserved and we considered the rest 18,046 sites (1.4%) as
epiallelic sites. We did gene annotation and ontology analysis with these epialleic sites. In the results of gene ontology analysis, these
epiallelic genes are involved in various organelle, DNA polymerase
activity or biological processes like vitamin metabolic process etc.
To see relation between duplicated genes and methylation, we
compared methylation level distribution in two paralogs. 2,917
identified duplicated gene pairs show dispersed shape regardless of
methylation context. In all methylation contexts, dots are distributed
along the axis. We assume that this pattern results from character of
mungbenan genome which has only one time of ancient duplication
event and after that methylation of duplicated genes has been divided
depending on its use.
Keywords: Epigenetics, Epigenome, DNA methylation, Epiallele,
Genome duplication
Student number: 2012-21094
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dc.description.tableofcontentsCONTENTS
ABSTRACT ······················································································· i
CONTENTS ····················································································· iv
LIST OF TABLES ············································································ vi
LIST OF FIGURES ········································································· vii
INTRODUCTION ············································································· 1
LITERATURE REVIEW
Epigenetics and Epigenome ············································· 4
DNA methylation ····························································· 5
Epiallele ········································································· 6
Gene duplication ····························································· 8
MATERIALS AND METHODS
Whole Genome Bisulfite Sequencing ································ 11
RNA sequencing ··························································· 12
Sequencing analysis ······················································ 14
Methylation Circos ························································· 15
Identification of duplicated genes and paralogs··················· 15

RESULTS
Bisulfite Sequencing of the Mungbean Genome ················ 16
Distribution of methylation on chromosomes ····················· 24
Epiallelic map between VC1973A and V2984 ······················ 26
Gene annotation and ontology analysis of epiallele sites····· 31
Pairwise methylation levels between duplicated genes in VC1973A ············································································· 35
DISCUSSION ················································································ 39
REFERENCE ················································································ 43
ABSTRACT IN KOREAN ·····························································46
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dc.formatapplication/pdf-
dc.format.extent3859173 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectEpigenetics-
dc.subjectEpigenome-
dc.subjectDNA methylation-
dc.subjectEpiallele-
dc.subject.ddc633-
dc.titleWhole Genome Methylation Patterns in Mungbean-
dc.title.alternative녹두의 전장유전체 메틸레이션 패턴-
dc.typeThesis-
dc.contributor.AlternativeAuthorAhra Bae-
dc.description.degreeMaster-
dc.citation.pagesvii,48-
dc.contributor.affiliation농업생명과학대학 식물생산과학부(작물생명과학전공)-
dc.date.awarded2014-02-
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