Dissection of genetic architecture of intermediate phenotypes and predictions in plants:
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
Potsdam
2019
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis Inhaltsverzeichnis |
| Physical Description: | 127 Seiten Illustrationen 30 cm |
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| 100 | 1 | |a Tong, Hao |e Verfasser |0 (DE-588)1206212578 |4 aut | |
| 245 | 1 | 0 | |a Dissection of genetic architecture of intermediate phenotypes and predictions in plants |c Hao Tong |
| 264 | 1 | |a Potsdam |c 2019 | |
| 300 | |a 127 Seiten |b Illustrationen |c 30 cm | ||
| 336 | |b txt |2 rdacontent | ||
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| 502 | |b Dissertation |c Universität Potsdam |d 2019 | ||
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Record in the Search Index
| _version_ | 1804182764210094080 |
|---|---|
| adam_text | CONTENTS
1.
INTRODUCTION
.........................................................................................................................
1
1.1
QUANTITATIVE
GENETIC
BASIS
............................................................................................
1
1.1.1
PHENOTYPES
OF
INVESTIGATION
..................................................................................
1
1.1.2
PHENOTYPIC
VARIANCE
..............................................................................................
2
1.1.3
GENETIC
INFORMATION
AS
MARKERS
...........................................................................
4
1.1.4
POPULATION
OF
INVESTIGATION
..................................................................................
6
1.2
GENETIC
MAPPING
APPROACHES
......................................................................................
7
1.2.1
GENETIC
MAPPING
PROCESS
.....................................................................................
7
1.2.2
SINGLE-LOCUS
GENETIC
MAPPING
MODELS
...............................................................
10
1.2.3
MULTIPLE-LOCUS
GENETIC
MAPPING
MODELS
............................................................
11
1.2.4
PROBLEMS
AND
QUESTIONS
OF
GENETIC
MAPPING
......................................................
13
1.3
GENOMIC
SELECTION
......................................................................................................
14
1.3.1
DEFINITION
OF
GENOMIC
SELECTION
..........................................................................
14
1.3.2
GENOMIC
SELECTION
STATISTICAL
MODELS
.................................................................
16
1.3.3
DISADVANTAGE
AND
PROBLEMS
OF
GENOMIC
SELECTION
.............................................
17
1.4
GENOME-SCALE
METABOLIC
NETWORK
..............................................................................
18
1.4.1
DEFINITION
OF
METABOLIC
NETWORK
........................................................................
18
1.4.2
CONSTRAINT-BASED
APPROACHES
..............................................................................
19
1.4.3
PREDICTION
FROM
METABOLIC
NETWORK
...................................................................
21
1.5
THESIS
OUTLINE
.............................................................................................................
23
2.
INTEGRATING
MOLECULAR
MARKERS
INTO
METABOLIC
MODELS
IMPROVES
GENOMIC
SELECTION
FOR
PLANT
GROWTH
.........................................................................................................................
25
2.1
INTRODUCTION
................................................................................................................
26
2.2
MATERIALS
AND
METHODS
...............................................................................................
27
2.2.1
PLANT
MATERIALS
AND
DATA
SETS
..............................................................................27
2.2.2
REFERENCE
FLUX DISTRIBUTION
OF
COLO
...................................................................
29
2.2.3
FLUX
DISTRIBUTION
OF
OTHER
GENOTYPES
..................................................................
30
2.2.4
FROM
STATISTICAL
MODELS
OF
FLUXES
TO
PREDICTED
BIOMASS
.....................................
31
2.2.5
TRANSFERABILITY
OF
THE
APPROACH
TO
AN
UNSEEN
ENVIRONMENT
...............................
32
2.2.6
ROBUSTNESS
OF
REFERENCE
FLUX
DISTRIBUTIONS
.......................................................
34
2.3
RESULTS
AND
DISCUSSIONS
..............................................................................................
35
2.4
CONCLUSIONS
.................................................................................................................
43
3.
METABOLIC-NETWORK-GUIDED
MULTIPLE-LOCUS
GENOME-WIDE
ASSOCIATION
STUDIES
FOR
PREDICTING
METABOLIC
TRAITS
IN
ZEA
MAYS
L
............................................................................
45
3.1
INTRODUCTION
.................................................................................................................
46
3.2
MATERIALS
AND
METHODS
...............................................................................................
48
3.2.1
PLANT
MATERIALS
AND
DATA
SETS
...............................................................................
48
3.2.2
NEIGHBORHOOD
SNP
DATA
SETS
BASED
ON
GEM
....................................................49
3.2.3
ELASTIC
NET
MODEL
FOR
MULTIPLE-LOCUS
GWAS
.....................................................
50
3.2.4
RANDOM
SNPS
MODEL
..........................................................................................
51
3.2.5
NON-ENZYMATIC
SNPS
MODEL
...............................................................................
52
3.2.6
SINGLE-LOCUS
METABOLISM
GWAS
........................................................................
52
3.3
RESULTS
.........................................................................................................................
53
3.3.1
NETWORK-BASED
GROUPING
OF
SNPS
......................................................................
53
3.3.2
PARAMETERS
ESTIMATION
FOR
THE
MODEL
BASED
ON
FIRST
NEIGHBORHOOD
SNPS
.........
54
3.3.3
THE
SECOND
AND
THIRD
NEIGHBORHOOD
SNPS
MODELS
............................................
56
3.3.4
THE
ENZYMATIC
SNPS
AND
GENOME-WIDE
SNPS
MODELS
......................................
58
3.3.5
THE
DIFFERENCE
BETWEEN
ENZYMATIC
AND
GENOME-WIDE
SNPS
.............................
59
3.3.6
COMPARISON
TO
SINGLE-LOCUS
GWAS
....................................................................
61
3.4
DISCUSSIONS
.................................................................................................................
62
4.
INHERITANCE
PATTERNS
IN
METABOLISM
AND
GROWTH
IN
DIALLEI
CROSSES
OF
ARABIDOPSIS
THALIANA
FROM
A
SINGLE
GROWTH
HABITAT
................................................................................................
65
4.1
INTRODUCTION
.................................................................................................................
66
4.2
MATERIALS
AND
METHODS
...............................................................................................
67
4.2.1
GROWTH
CONDITIONS,
PHENOTYPING
AND
METABOLIC
PROFILING
.................................
67
4.2.2
CORRELATION
ANALYSES
............................................................................................
68
4.2.3
ANALYSIS
OF
METABOLIC
VARIATION
WITHIN
HYBRIDS
AND
PARENTS
..............................
69
4.2.4
ANALYSIS
OF
INHERITANCE
PATTERNS
..........................................................................
70
4.2.5
BROAD-SENSE
AND
NARROW-SENSE
HERITABILITY
........................................................
70
4.2.6
DIALLEL
ANALYSIS
....................................................................................................
70
4.3
RESULTS
.........................................................................................................................
71
4.3.1
ANALYSED
GENOTYPES
AND
PHENOTYPES
.................................................................
71
4.3.2
SIMILARITY
BETWEEN
GENOTYPE
AND
METABOLISM
...................................................
72
4.3.3
VARIABILITY
OF
METABOLIC
PROFILES
OF
PARENTS
AND
HYBRIDS
..................................
73
4.3.4
METABOLIC
PHENOTYPES
OF
HYBRIDS
VARY
MORE
THAN
THOSE
OF
THE
PARENTS
...........
74
4.3.5
THE
METABOLIC
TRAITS
IN
HYBRIDS
DIFFER
IN
THE
DEVIATION
FROM
THE
MID-PARENT
VALUE
75
4.3.6
NON-ADDITIVE
VARIANCE
IS
A
DETERMINANT
OF
SECONDARY
METABOLISM
...................
77
4.3.7
CONTRIBUTION
OF
DOMINANCE
AND
EPISTASIS
IN
NON-ADDITIVE
VARIANCE
...................
78
4.3.8
RELATIONSHIP
BETWEEN
GROWTH
AND
METABOLISM
..................................................
79
4.4
DISCUSSIONS
.................................................................................................................
80
5.
DISCUSSION
AND
OUTLOOK
..................................................................................................
85
APPENDIX
A
...........................................................................................................................
91
APPENDIX
B
...........................................................................................................................
95
APPENDIX
C
.........................................................................................................................
107
BIBLIOGRAPHY
.......................................................................................................................
113
ACKNOWLEDGEMENTS
.............................................................................................................
125
SELBSTANDIGKEITSERKLDRUNG
..................................................................................................
127
|
| adam_txt |
CONTENTS
1.
INTRODUCTION
.
1
1.1
QUANTITATIVE
GENETIC
BASIS
.
1
1.1.1
PHENOTYPES
OF
INVESTIGATION
.
1
1.1.2
PHENOTYPIC
VARIANCE
.
2
1.1.3
GENETIC
INFORMATION
AS
MARKERS
.
4
1.1.4
POPULATION
OF
INVESTIGATION
.
6
1.2
GENETIC
MAPPING
APPROACHES
.
7
1.2.1
GENETIC
MAPPING
PROCESS
.
7
1.2.2
SINGLE-LOCUS
GENETIC
MAPPING
MODELS
.
10
1.2.3
MULTIPLE-LOCUS
GENETIC
MAPPING
MODELS
.
11
1.2.4
PROBLEMS
AND
QUESTIONS
OF
GENETIC
MAPPING
.
13
1.3
GENOMIC
SELECTION
.
14
1.3.1
DEFINITION
OF
GENOMIC
SELECTION
.
14
1.3.2
GENOMIC
SELECTION
STATISTICAL
MODELS
.
16
1.3.3
DISADVANTAGE
AND
PROBLEMS
OF
GENOMIC
SELECTION
.
17
1.4
GENOME-SCALE
METABOLIC
NETWORK
.
18
1.4.1
DEFINITION
OF
METABOLIC
NETWORK
.
18
1.4.2
CONSTRAINT-BASED
APPROACHES
.
19
1.4.3
PREDICTION
FROM
METABOLIC
NETWORK
.
21
1.5
THESIS
OUTLINE
.
23
2.
INTEGRATING
MOLECULAR
MARKERS
INTO
METABOLIC
MODELS
IMPROVES
GENOMIC
SELECTION
FOR
PLANT
GROWTH
.
25
2.1
INTRODUCTION
.
26
2.2
MATERIALS
AND
METHODS
.
27
2.2.1
PLANT
MATERIALS
AND
DATA
SETS
.27
2.2.2
REFERENCE
FLUX DISTRIBUTION
OF
COLO
.
29
2.2.3
FLUX
DISTRIBUTION
OF
OTHER
GENOTYPES
.
30
2.2.4
FROM
STATISTICAL
MODELS
OF
FLUXES
TO
PREDICTED
BIOMASS
.
31
2.2.5
TRANSFERABILITY
OF
THE
APPROACH
TO
AN
UNSEEN
ENVIRONMENT
.
32
2.2.6
ROBUSTNESS
OF
REFERENCE
FLUX
DISTRIBUTIONS
.
34
2.3
RESULTS
AND
DISCUSSIONS
.
35
2.4
CONCLUSIONS
.
43
3.
METABOLIC-NETWORK-GUIDED
MULTIPLE-LOCUS
GENOME-WIDE
ASSOCIATION
STUDIES
FOR
PREDICTING
METABOLIC
TRAITS
IN
ZEA
MAYS
L
.
45
3.1
INTRODUCTION
.
46
3.2
MATERIALS
AND
METHODS
.
48
3.2.1
PLANT
MATERIALS
AND
DATA
SETS
.
48
3.2.2
NEIGHBORHOOD
SNP
DATA
SETS
BASED
ON
GEM
.49
3.2.3
ELASTIC
NET
MODEL
FOR
MULTIPLE-LOCUS
GWAS
.
50
3.2.4
RANDOM
SNPS
MODEL
.
51
3.2.5
NON-ENZYMATIC
SNPS
MODEL
.
52
3.2.6
SINGLE-LOCUS
METABOLISM
GWAS
.
52
3.3
RESULTS
.
53
3.3.1
NETWORK-BASED
GROUPING
OF
SNPS
.
53
3.3.2
PARAMETERS
ESTIMATION
FOR
THE
MODEL
BASED
ON
FIRST
NEIGHBORHOOD
SNPS
.
54
3.3.3
THE
SECOND
AND
THIRD
NEIGHBORHOOD
SNPS
MODELS
.
56
3.3.4
THE
ENZYMATIC
SNPS
AND
GENOME-WIDE
SNPS
MODELS
.
58
3.3.5
THE
DIFFERENCE
BETWEEN
ENZYMATIC
AND
GENOME-WIDE
SNPS
.
59
3.3.6
COMPARISON
TO
SINGLE-LOCUS
GWAS
.
61
3.4
DISCUSSIONS
.
62
4.
INHERITANCE
PATTERNS
IN
METABOLISM
AND
GROWTH
IN
DIALLEI
CROSSES
OF
ARABIDOPSIS
THALIANA
FROM
A
SINGLE
GROWTH
HABITAT
.
65
4.1
INTRODUCTION
.
66
4.2
MATERIALS
AND
METHODS
.
67
4.2.1
GROWTH
CONDITIONS,
PHENOTYPING
AND
METABOLIC
PROFILING
.
67
4.2.2
CORRELATION
ANALYSES
.
68
4.2.3
ANALYSIS
OF
METABOLIC
VARIATION
WITHIN
HYBRIDS
AND
PARENTS
.
69
4.2.4
ANALYSIS
OF
INHERITANCE
PATTERNS
.
70
4.2.5
BROAD-SENSE
AND
NARROW-SENSE
HERITABILITY
.
70
4.2.6
DIALLEL
ANALYSIS
.
70
4.3
RESULTS
.
71
4.3.1
ANALYSED
GENOTYPES
AND
PHENOTYPES
.
71
4.3.2
SIMILARITY
BETWEEN
GENOTYPE
AND
METABOLISM
.
72
4.3.3
VARIABILITY
OF
METABOLIC
PROFILES
OF
PARENTS
AND
HYBRIDS
.
73
4.3.4
METABOLIC
PHENOTYPES
OF
HYBRIDS
VARY
MORE
THAN
THOSE
OF
THE
PARENTS
.
74
4.3.5
THE
METABOLIC
TRAITS
IN
HYBRIDS
DIFFER
IN
THE
DEVIATION
FROM
THE
MID-PARENT
VALUE
75
4.3.6
NON-ADDITIVE
VARIANCE
IS
A
DETERMINANT
OF
SECONDARY
METABOLISM
.
77
4.3.7
CONTRIBUTION
OF
DOMINANCE
AND
EPISTASIS
IN
NON-ADDITIVE
VARIANCE
.
78
4.3.8
RELATIONSHIP
BETWEEN
GROWTH
AND
METABOLISM
.
79
4.4
DISCUSSIONS
.
80
5.
DISCUSSION
AND
OUTLOOK
.
85
APPENDIX
A
.
91
APPENDIX
B
.
95
APPENDIX
C
.
107
BIBLIOGRAPHY
.
113
ACKNOWLEDGEMENTS
.
125
SELBSTANDIGKEITSERKLDRUNG
.
127 |
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| any_adam_object_boolean | 1 |
| author | Tong, Hao |
| author_GND | (DE-588)1206212578 |
| author_facet | Tong, Hao |
| author_role | aut |
| author_sort | Tong, Hao |
| author_variant | h t ht |
| building | Verbundindex |
| bvnumber | BV047459553 |
| ctrlnum | (OCoLC)1157247401 (DE-599)DNB1206563532 |
| discipline | Biologie |
| discipline_str_mv | Biologie |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV047459553 |
| illustrated | Illustrated |
| index_date | 2024-07-03T18:05:53Z |
| indexdate | 2024-07-10T09:12:44Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032861346 |
| oclc_num | 1157247401 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR |
| owner_facet | DE-355 DE-BY-UBR |
| physical | 127 Seiten Illustrationen 30 cm |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| record_format | marc |
| spelling | Tong, Hao Verfasser (DE-588)1206212578 aut Dissection of genetic architecture of intermediate phenotypes and predictions in plants Hao Tong Potsdam 2019 127 Seiten Illustrationen 30 cm txt rdacontent n rdamedia nc rdacarrier Dissertation Universität Potsdam 2019 (DE-588)4113937-9 Hochschulschrift gnd-content B:DE-101 application/pdf https://d-nb.info/1206563532/04 Inhaltsverzeichnis DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032861346&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Tong, Hao Dissection of genetic architecture of intermediate phenotypes and predictions in plants |
| subject_GND | (DE-588)4113937-9 |
| title | Dissection of genetic architecture of intermediate phenotypes and predictions in plants |
| title_auth | Dissection of genetic architecture of intermediate phenotypes and predictions in plants |
| title_exact_search | Dissection of genetic architecture of intermediate phenotypes and predictions in plants |
| title_exact_search_txtP | Dissection of genetic architecture of intermediate phenotypes and predictions in plants |
| title_full | Dissection of genetic architecture of intermediate phenotypes and predictions in plants Hao Tong |
| title_fullStr | Dissection of genetic architecture of intermediate phenotypes and predictions in plants Hao Tong |
| title_full_unstemmed | Dissection of genetic architecture of intermediate phenotypes and predictions in plants Hao Tong |
| title_short | Dissection of genetic architecture of intermediate phenotypes and predictions in plants |
| title_sort | dissection of genetic architecture of intermediate phenotypes and predictions in plants |
| topic_facet | Hochschulschrift |
| url | https://d-nb.info/1206563532/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032861346&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT tonghao dissectionofgeneticarchitectureofintermediatephenotypesandpredictionsinplants |
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