Blooming balloons: Searching for mechanisms of the inflated calyx

IF 8.3 2区 生物学 Q1 PLANT SCIENCES
Jia He , Joyce Van Eck , Zachary B. Lippman
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引用次数: 0

Abstract

Studying morphological novelties offers special insights into developmental biology and evolution. The inflated calyx syndrome (ICS) is a largely unrecognized but fascinating feature of flower development, where sepals form balloon-like husks that encapsulate fruits. Despite its independent emergence in many lineages of flowering plants, the genetic and molecular mechanisms of ICS remain unknown. Early studies in the Solanaceae genus Physalis put forth key roles of MADS-box genes in ICS. However, recent work suggests these classical floral identity transcription factors were false leads. With newfound capabilities that allow rapid development of genetic systems through genomics and genome editing, Physalis has re-emerged as the most tractable model species for dissecting ICS. This review revisits current understanding of ICS and highlights how recent advancements enable a reset in the search for genetic and molecular mechanisms using unbiased, systematic approaches.

盛开的气球寻找充气花萼的机理。
研究形态学上的新奇现象可以为发育生物学和进化提供特殊的见解。膨大花萼综合征(ICS)是花卉发育过程中的一个基本未被认识但却引人入胜的特征,在这种情况下,萼片会形成气球状的外壳,将果实包裹起来。尽管胀萼综合征在有花植物的许多品系中独立出现,但其遗传和分子机制仍不为人知。对茄科 Physalis 属的早期研究提出了 MADS-box 基因在 ICS 中的关键作用。然而,最近的研究表明,这些经典的花特征转录因子是错误的线索。通过基因组学和基因组编辑技术,新发现的能力使基因系统得以快速发展, Physalis 已重新成为剖析 ICS 的最易研究的模式物种。本综述重新审视了目前对 ICS 的认识,并重点介绍了最近的进展如何使人们能够利用无偏见的系统方法重新寻找遗传和分子机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current opinion in plant biology
Current opinion in plant biology 生物-植物科学
CiteScore
16.30
自引率
3.20%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Current Opinion in Plant Biology builds on Elsevier's reputation for excellence in scientific publishing and long-standing commitment to communicating high quality reproducible research. It is part of the Current Opinion and Research (CO+RE) suite of journals. All CO+RE journals leverage the Current Opinion legacy - of editorial excellence, high-impact, and global reach - to ensure they are a widely read resource that is integral to scientists' workflow.
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