本文へ移動

論文 ·日本語 ·未確認

Recent advances in flower color variation and patterning of Japanese morning glory and petunia

Yasumasa Morita Atsushi Hoshino

刊行年
2018-01-01
収録
『Ikushugaku zasshi』 68(1) pp. 128-138
出版
Japanese Society of Breeding
言語
英語
OpenAlex
W2790677639
DOI
10.1270/jsbbs.17107
PubMed
29681755
MAG
2790677639
ISSN
0536-3683
URL
https://www.jstage.jst.go.jp/article/jsbbs/68/1/68_17107/_pdf

要旨

The Japanese morning glory (Ipomoea nil) and petunia (Petunia hybrida), locally called “Asagao” and “Tsukubane-asagao”, respectively, are popular garden plants. They have been utilized as model plants for studying the genetic basis of floricultural traits, especially anthocyanin pigmentation in flower petals. In their long history of genetic studies, many mutations affecting flower pigmentation have been characterized, and both structural and regulatory genes for the anthocyanin biosynthesis pathway have been identified. In this review, we will summarize recent advances in the understanding of flower pigmentation in the two species with respect to flower hue and color patterning. Regarding flower hue, we will describe a novel enhancer of flavonoid production that controls the intensity of flower pigmentation, new aspects related to a flavonoid glucosyltransferase that has been known for a long time, and the regulatory mechanisms of vacuolar pH being a key determinant of red and blue coloration. On color patterning, we describe particular flower patterns regulated by epigenetic and RNA-silencing mechanisms. As high-quality whole genome sequences of the Japanese morning glory and petunia wild parents (P. axillaris and P. inflata, respectively) were published in 2016, further study on flower pigmentation will be accelerated.

主題

この書誌の出所

  • openalex— W2790677639(2026-08-14取得)

引用

Yasumasa Morita・Atsushi Hoshino(2018-01-01) Recent advances in flower color variation and patterning of Japanese morning glory and petunia 『Ikushugaku zasshi』 68(1) pp. 128-138 Japanese Society of Breeding

MoritaHoshino2018RecentAdvancesFlower
書誌 67,320件 語別索引 17,251件 資源 113件 研究者 303名 JSON