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Integrating Genomics and Metabolomic...

Teh, Soon Li.

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Integrating Genomics and Metabolomics to Inform Breeding for Powdery Mildew Resistance in Grapevine.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Integrating Genomics and Metabolomics to Inform Breeding for Powdery Mildew Resistance in Grapevine./
作者:	Teh, Soon Li.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	148 p.
附註:	Source: Dissertation Abstracts International, Volume: 80-03(E), Section: B.
Contained By:	Dissertation Abstracts International80-03B(E).
標題:	Plant sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10929180
ISBN:	9780438565562

Integrating Genomics and Metabolomics to Inform Breeding for Powdery Mildew Resistance in Grapevine.
Teh, Soon Li.

Integrating Genomics and Metabolomics to Inform Breeding for Powdery Mildew Resistance in Grapevine. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 148 p.

Source: Dissertation Abstracts International, Volume: 80-03(E), Section: B.

Thesis (Ph.D.)--University of Minnesota, 2018.

Two powdery mildew resistance loci have been identified using pedigree-connected F1 mapping families at the University of Minnesota grape breeding program. A consensus linkage map of the resistant parent (MN1264) was developed for genetic mapping. The resistance loci were mapped on chromosomes 2 and 15, with additive effects accounting for over 30% phenotypic variation. Marker haplotypes, hap+chr2 and hap+chr15, were constructed to trace the inheritance of resistance loci in grandparent-parent-progeny relationships. Both hap+chr2 and hap+chr15 in the resistant F1 progeny were inherited from parent MN1264, that originated from grandparent 'Seyval blanc'. Additionally, two microsatellites markers (i.e., UDV-015b and VViv67) were identified to be associated with hap+chr15, and can be applied for marker-assisted selection. In a follow-up study to characterize metabolic changes attributed to hap+chr2 and hap+chr15, a metabolomic experiment was conducted on whole-plant propagated grapes in a time-course response to in vivo inoculation. The use of several multivariate analyses systematically identified 52 biomarkers that were associated with hap+chr2, and 12 biomarkers with hap+chr15. In a temporal assessment of biomarkers, the discriminating metabolic changes distinguishing resistant and susceptible individuals appeared to be occurring from 24 to 48 hours after inoculation.

ISBN: 9780438565562Subjects--Topical Terms:

3173832
Plant sciences.

Integrating Genomics and Metabolomics to Inform Breeding for Powdery Mildew Resistance in Grapevine.
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