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四倍体切花玫瑰花色决定因素的遗传与QTL分析

Inheritance and QTL analysis of the determinants of flower color in tetraploid cut roses.

作者信息

Gitonga Virginia W, Stolker Robert, Koning-Boucoiran Carole F S, Aelaei Mitra, Visser Richard G F, Maliepaard Chris, Krens Frans A

机构信息

Wageningen UR Plant Breeding, P.O. Box 386, 6700 AJ Wageningen, The Netherlands ; Selecta Kenya GmbH & Co. KG, P.O. Box 64132, Nairobi, 00620 Kenya.

Wageningen UR Plant Breeding, P.O. Box 386, 6700 AJ Wageningen, The Netherlands ; Deliflor Chrysanten b.v., P.O. Box 77, 2676 ZH Maasdijk, The Netherlands.

出版信息

Mol Breed. 2016;36(10):143. doi: 10.1007/s11032-016-0565-9. Epub 2016 Oct 7.

DOI:10.1007/s11032-016-0565-9
PMID:27795693
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5055553/
Abstract

The success of cut rose cultivars is a direct result of their aesthetic value. The rose industry thrives on novelty, and the production of novel flower color has been extensively studied. The most popular color is red, and it is, therefore, important for breeders to produce a good red cultivar. The final visible color of the flower is a combination of a number of factors including the type of anthocyanin accumulating, modifications to the anthocyanidin molecule, co-pigmentation and vacuolar pH. Here, we analyze the quantitative variation of the biochemical constituents of flower color in a tetraploid rose population and combine this with marker information in the segregating rose population to map the chromosomal locations of putative QTLs for flower color traits. Within our tetraploid population, we found a number of QTLs that were mapped on ICM 1, 2, 6 and 7. We were able to show the effect of the different QTLs on the final visible color of the flower from salmon to dark red.

摘要

切花月季品种的成功直接源于其美学价值。玫瑰产业依赖于新奇性,新型花色的培育已得到广泛研究。最受欢迎的颜色是红色,因此,培育出优良的红色品种对育种者来说很重要。花朵最终呈现的可见颜色是多种因素的综合结果,包括积累的花青素类型、花青素分子的修饰、共色素沉着和液泡pH值。在此,我们分析了四倍体玫瑰群体中花色生化成分的数量变异,并将其与分离玫瑰群体中的标记信息相结合,以绘制花色性状假定数量性状位点(QTL)的染色体位置。在我们的四倍体群体中,我们发现了一些定位在ICM 1、2、6和7上的QTL。我们能够展示不同QTL对花朵最终可见颜色从橙红色到深红色的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86fc/5055553/2e8f464e4294/11032_2016_565_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86fc/5055553/700ac5496275/11032_2016_565_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86fc/5055553/76db01062e52/11032_2016_565_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86fc/5055553/2e8f464e4294/11032_2016_565_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86fc/5055553/700ac5496275/11032_2016_565_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86fc/5055553/76db01062e52/11032_2016_565_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86fc/5055553/2e8f464e4294/11032_2016_565_Fig3_HTML.jpg

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