Literature DB >> 31985072

Stomatal development in the grasses: lessons from models and crops (and crop models).

Katelyn H McKown1, Dominique C Bergmann2,3.   

Abstract

When plants emerged from their aquatic origins to colonise land, they needed to avoid desiccation while still enabling gas and water exchange with the environment. The solution was the development of a waxy cuticle interrupted by epidermal pores, known as stomata. Despite the importance of stomata in plant physiology and their contribution to global water and carbon cycles, our knowledge of the genetic basis of stomatal development is limited mostly to the model dicot, Arabidopsis thaliana. This limitation is particularly troublesome when evaluating grasses, whose members represent our most agriculturally significant crops. Grass stomatal development follows a trajectory strikingly different from Arabidopsis and their uniquely shaped four-celled stomatal complexes are especially responsive to environmental inputs. Thus, understanding the development and regulation of these efficient complexes is of particular interest for the purposes of crop engineering. This review focuses on genetic regulation of grass stomatal development and prospects for the future, highlighting discoveries enabled by parallel comparative investigations in cereal crops and related genetic model species such as Brachypodium distachyon.
© 2020 The Authors. New Phytologist © 2020 New Phytologist Trust.

Entities:  

Keywords:  zzm321990Brachypodiumzzm321990; bHLH protein; guard cells; signalling; stomata; subsidiary cells; water use efficiency

Mesh:

Substances:

Year:  2020        PMID: 31985072     DOI: 10.1111/nph.16450

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  11 in total

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Authors:  Guillaume Dubeaux; Po-Kai Hsu; Paulo H O Ceciliato; Kelsey J Swink; Wouter-Jan Rappel; Julian I Schroeder
Journal:  Plant Physiol       Date:  2021-12-04       Impact factor: 8.005

3.  The maize single-nucleus transcriptome comprehensively describes signaling networks governing movement and development of grass stomata.

Authors:  Guiling Sun; Mingzhang Xia; Jieping Li; Wen Ma; Qingzeng Li; Jinjin Xie; Shenglong Bai; Shanshan Fang; Ting Sun; Xinlei Feng; Guanghui Guo; Yanli Niu; Jingyi Hou; Wenling Ye; Jianchao Ma; Siyi Guo; Hongliang Wang; Yu Long; Xuebin Zhang; Junli Zhang; Hui Zhou; Baozhu Li; Jiong Liu; Changsong Zou; Hai Wang; Jinling Huang; David W Galbraith; Chun-Peng Song
Journal:  Plant Cell       Date:  2022-04-26       Impact factor: 12.085

4.  Evaluation of the Anti-transpirant Activity of ABA Receptor Agonists in Monocot and Eudicot Plants.

Authors:  Daniel Franco-Aragón; Irene García-Maquilón; Alfredo Manicardi; Pedro L Rodríguez; Jorge Lozano-Juste
Journal:  Methods Mol Biol       Date:  2022

5.  A comprehensive RNA-Seq-based gene expression atlas of the summer squash (Cucurbita pepo) provides insights into fruit morphology and ripening mechanisms.

Authors:  Aliki Xanthopoulou; Javier Montero-Pau; Belén Picó; Panagiotis Boumpas; Eleni Tsaliki; Harry S Paris; Athanasios Tsaftaris; Apostolos Kalivas; Ifigeneia Mellidou; Ioannis Ganopoulos
Journal:  BMC Genomics       Date:  2021-05-12       Impact factor: 3.969

6.  RSD1 Is Essential for Stomatal Patterning and Files in Rice.

Authors:  Qi Yu; Liang Chen; Wenqi Zhou; Yanhuang An; Tengxiao Luo; Zhongliang Wu; Yuqi Wang; Yunfeng Xi; Longfeng Yan; Suiwen Hou
Journal:  Front Plant Sci       Date:  2020-11-30       Impact factor: 5.753

7.  A simple method for the application of exogenous phytohormones to the grass leaf base protodermal zone to improve grass leaf epidermis development research.

Authors:  Jieping Li; Xinlei Feng; Jinjin Xie
Journal:  Plant Methods       Date:  2021-12-13       Impact factor: 4.993

8.  Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for maize QTL mapping.

Authors:  Jiayang Xie; Samuel B Fernandes; Dustin Mayfield-Jones; Gorka Erice; Min Choi; Alexander E Lipka; Andrew D B Leakey
Journal:  Plant Physiol       Date:  2021-11-03       Impact factor: 8.340

9.  SCARECROW is deployed in distinct contexts during rice and maize leaf development.

Authors:  Thomas E Hughes; Jane A Langdale
Journal:  Development       Date:  2022-03-30       Impact factor: 6.862

10.  Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions.

Authors:  John N Ferguson; Samuel B Fernandes; Brandon Monier; Nathan D Miller; Dylan Allen; Anna Dmitrieva; Peter Schmuker; Roberto Lozano; Ravi Valluru; Edward S Buckler; Michael A Gore; Patrick J Brown; Edgar P Spalding; Andrew D B Leakey
Journal:  Plant Physiol       Date:  2021-11-03       Impact factor: 8.005

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