Literature DB >> 35104310

Molecular genetic insights into orchid reproductive development.

Yan Li1, Bin Zhang2, Hao Yu1,2.   

Abstract

Orchids are members of the Orchidaceae, one of the largest families of flowering plants, and occupy a wide range of ecological habitats with highly specialized reproductive features. They exhibit unique developmental characteristics, such as generation of storage organs during flowering and spectacular floral morphological features, which contribute to their reproductive success in different habitats in response to various environmental cues. Here we review current understanding of the molecular genetic basis of orchid reproductive development, including flowering time control, floral patterning and flower color, with a focus on the orchid genes that have been functionally validated in plants. Furthermore, we summarize recent progress in annotating orchid genomes, and discuss how integration of high-quality orchid genome sequences with other advanced tools, such as the ever-improving multi-omics approaches and genome editing technologies as well as orchid-specific technical platforms, could open up new avenues to elucidate the molecular genetic basis of highly specialized reproductive organs and strategies in orchids.
© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Floral patterning; Orchidaceae; flower color; flowering time; genome editing; genome sequencing; orchid; reproductive development

Mesh:

Year:  2022        PMID: 35104310     DOI: 10.1093/jxb/erac016

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  2 in total

1.  Flowering Newsletter 2022.

Authors:  Rainer Melzer
Journal:  J Exp Bot       Date:  2022-08-11       Impact factor: 7.298

Review 2.  In-depth analysis of genomes and functional genomics of orchid using cutting-edge high-throughput sequencing.

Authors:  Cheng Song; Yan Wang; Muhammad Aamir Manzoor; Di Mao; Peipei Wei; Yunpeng Cao; Fucheng Zhu
Journal:  Front Plant Sci       Date:  2022-09-23       Impact factor: 6.627

  2 in total

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