Literature DB >> 30609316

Developmental pathways for shaping spike inflorescence architecture in barley and wheat.

Ravi Koppolu1, Thorsten Schnurbusch1,2.   

Abstract

Grass species display a wide array of inflorescences ranging from highly branched compound/panicle inflorescences to unbranched spike inflorescences. The unbranched spike is a characteristic feature of the species of tribe Triticeae, including economically important crops, such as wheat and barley. In this review, we describe two important developmental genetic mechanisms regulating spike inflorescence architecture in barley and wheat. These include genetic regulation of (i) row-type pathway specific to Hordeum species and (ii) unbranched spike development in barley and wheat. For a comparative understanding, we describe the branched inflorescence phenotypes of rice and maize along with unbranched Triticeae inflorescences. In the end, we propose a simplified model describing a probable mechanism leading to unbranched spike formation in Triticeae species.
© 2019 Institute of Botany, Chinese Academy of Sciences.

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Mesh:

Year:  2019        PMID: 30609316     DOI: 10.1111/jipb.12771

Source DB:  PubMed          Journal:  J Integr Plant Biol        ISSN: 1672-9072            Impact factor:   7.061


  20 in total

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7.  Genome-wide identification of loci modifying spike-branching in tetraploid wheat.

Authors:  Gizaw M Wolde; Mona Schreiber; Corinna Trautewig; Axel Himmelbach; Shun Sakuma; Martin Mascher; Thorsten Schnurbusch
Journal:  Theor Appl Genet       Date:  2021-05-07       Impact factor: 5.574

8.  High expression of the MADS-box gene VRT2 increases the number of rudimentary basal spikelets in wheat.

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9.  Comprehensive 3D phenotyping reveals continuous morphological variation across genetically diverse sorghum inflorescences.

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10.  Identification and validation of two major QTLs for spike compactness and length in bread wheat (Triticum aestivum L.) showing pleiotropic effects on yield-related traits.

Authors:  Tao Li; Guangbing Deng; Yan Su; Zhao Yang; Yanyan Tang; Jinhui Wang; Xvebing Qiu; Xi Pu; Jun Li; Zehou Liu; Haili Zhang; Junjun Liang; Wuyun Yang; Maoqun Yu; Yuming Wei; Hai Long
Journal:  Theor Appl Genet       Date:  2021-07-26       Impact factor: 5.699

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