東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Morphological diversity and quantita...

Leiboff, Samuel Allen.

FindBook

Google Book

Amazon

博客來

Morphological diversity and quantitative genetics of the maize shoot apical meristem.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Morphological diversity and quantitative genetics of the maize shoot apical meristem./
作者:	Leiboff, Samuel Allen.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	134 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-03(E), Section: B.
Contained By:	Dissertation Abstracts International78-03B(E).
標題:	Plant sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10168950
ISBN:	9781369231731

Morphological diversity and quantitative genetics of the maize shoot apical meristem.
Leiboff, Samuel Allen.

Morphological diversity and quantitative genetics of the maize shoot apical meristem. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 134 p.

Source: Dissertation Abstracts International, Volume: 78-03(E), Section: B.

Thesis (Ph.D.)--Cornell University, 2017.

The maize shoot apical meristem (SAM) comprises a small pool of stem cells that generate all the organs in the above ground plant. Mutational analyses have identified genetic networks regulating SAM function, although little is known about the genetic determinants of SAM morphological variation in natural populations. We utilized high-throughput image processing to capture rich variation in SAM size for a diverse panel of maize inbred varieties, wild teosinte isolates, and a domesticated maize x wild progenitor teosinte backcross population. Focusing on diverse maize inbred lines, we identified significant correlations between seedling SAM size and agronomically-important adult plant traits such as flowering time, stem size, and leaf node number. Combining SAM phenotype data with a 1.2-million-SNP dataset in a genome-wide association study (GWAS) revealed unexpected SAM morphology candidate genes. We further confirmed correlations between SAM morphology and trait-associated SNP (TAS) alleles of several GWAS-derived SAM candidate genes through in situ hybridization and cell number and size estimation via image segmentation. Our data illustrate that the microscopic seedling SAM is predictive of adult phenotypes and that SAM morphometric variation is associated with genes that were not previously predicted to regulate SAM size. In further exploration of natural variation of SAM shape and size, we implemented rapid and complex morphometric modeling approaches to quantify SAM morphology. Quantitative trait loci (QTL) mapping results suggest that a majority of genetically-attributable SAM shape and size variation can be captured by estimating the SAM as a paraboloid, which has several advantages for high-throughput phenotyping methods. Further application of this model to a broad sampling of evolutionarily-distant plant species suggests that a parabolic SAM may be a universal trait of plant meristems. Future investigations into the mechanisms that orchestrate parabolic SAM parameters may reveal additional correlations between SAM architecture and adult plant morphology that transcend phylogenetic determinants.

ISBN: 9781369231731Subjects--Topical Terms:

3173832
Plant sciences.

Morphological diversity and quantitative genetics of the maize shoot apical meristem.
LDR:03160nmm a2200325 4500 001 2123999
005 20171023101703.5
008 180830s2017 ||||||||||||||||| ||eng d
020 $a 9781369231731
035 $a (MiAaPQ)AAI10168950
035 $a AAI10168950
040 $a MiAaPQ $c MiAaPQ
100 1 $a Leiboff, Samuel Allen. $3 3285959
245 1 0 $a Morphological diversity and quantitative genetics of the maize shoot apical meristem.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 134 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-03(E), Section: B.
500 $a Includes supplementary digital materials.
500 $a Adviser: Michael J. Scanlon.
502 $a Thesis (Ph.D.)--Cornell University, 2017.
520 $a The maize shoot apical meristem (SAM) comprises a small pool of stem cells that generate all the organs in the above ground plant. Mutational analyses have identified genetic networks regulating SAM function, although little is known about the genetic determinants of SAM morphological variation in natural populations. We utilized high-throughput image processing to capture rich variation in SAM size for a diverse panel of maize inbred varieties, wild teosinte isolates, and a domesticated maize x wild progenitor teosinte backcross population. Focusing on diverse maize inbred lines, we identified significant correlations between seedling SAM size and agronomically-important adult plant traits such as flowering time, stem size, and leaf node number. Combining SAM phenotype data with a 1.2-million-SNP dataset in a genome-wide association study (GWAS) revealed unexpected SAM morphology candidate genes. We further confirmed correlations between SAM morphology and trait-associated SNP (TAS) alleles of several GWAS-derived SAM candidate genes through in situ hybridization and cell number and size estimation via image segmentation. Our data illustrate that the microscopic seedling SAM is predictive of adult phenotypes and that SAM morphometric variation is associated with genes that were not previously predicted to regulate SAM size. In further exploration of natural variation of SAM shape and size, we implemented rapid and complex morphometric modeling approaches to quantify SAM morphology. Quantitative trait loci (QTL) mapping results suggest that a majority of genetically-attributable SAM shape and size variation can be captured by estimating the SAM as a paraboloid, which has several advantages for high-throughput phenotyping methods. Further application of this model to a broad sampling of evolutionarily-distant plant species suggests that a parabolic SAM may be a universal trait of plant meristems. Future investigations into the mechanisms that orchestrate parabolic SAM parameters may reveal additional correlations between SAM architecture and adult plant morphology that transcend phylogenetic determinants.
590 $a School code: 0058.
650 4 $a Plant sciences. $3 3173832
650 4 $a Genetics. $3 530508
650 4 $a Molecular biology. $3 517296
650 4 $a Biophysics. $3 518360
690 $a 0479
690 $a 0369
690 $a 0307
690 $a 0786
710 2 $a Cornell University. $b Plant Biology. $3 3285960
773 0 $t Dissertation Abstracts International $g 78-03B(E).
790 $a 0058
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10168950