Literature DB >> 26043067

An evolutionarily conserved gene, FUWA, plays a role in determining panicle architecture, grain shape and grain weight in rice.

Jun Chen1, He Gao2, Xiao-Ming Zheng1, Mingna Jin1, Jian-Feng Weng1, Jin Ma1, Yulong Ren1, Kunneng Zhou2, Qi Wang2, Jie Wang1, Jiu-Lin Wang1, Xin Zhang1, Zhijun Cheng1, Chuanyin Wu1, Haiyang Wang1, Jian-Min Wan1,2.   

Abstract

Plant breeding relies on creation of novel allelic combinations for desired traits. Identification and utilization of beneficial alleles, rare alleles and evolutionarily conserved genes in the germplasm (referred to as 'hidden' genes) provide an effective approach to achieve this goal. Here we show that a chemically induced null mutation in an evolutionarily conserved gene, FUWA, alters multiple important agronomic traits in rice, including panicle architecture, grain shape and grain weight. FUWA encodes an NHL domain-containing protein, with preferential expression in the root meristem, shoot apical meristem and inflorescences, where it restricts excessive cell division. Sequence analysis revealed that FUWA has undergone a bottleneck effect, and become fixed in landraces and modern cultivars during domestication and breeding. We further confirm a highly conserved role of FUWA homologs in determining panicle architecture and grain development in rice, maize and sorghum through genetic transformation. Strikingly, knockdown of the FUWA transcription level by RNA interference results in an erect panicle and increased grain size in both indica and japonica genetic backgrounds. This study illustrates an approach to create new germplasm with improved agronomic traits for crop breeding by tapping into evolutionary conserved genes.
© 2015 The Authors The Plant Journal © 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  FUWA; cell division; domestication; grain size; panicle architecture; rice

Mesh:

Substances:

Year:  2015        PMID: 26043067     DOI: 10.1111/tpj.12895

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  22 in total

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9.  Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization.

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Journal:  Plant Methods       Date:  2017-11-28       Impact factor: 4.993

10.  Identification, pyramid and candidate genes of QTLs for associated traits based on a dense erect panicle rice CSSL-Z749 and five SSSLs, three DSSLs and one TSSL.

Authors:  Dachuan Wang; Kai Zhou; Siqian Xiang; Qiuli Zhang; Ruxiang Li; Miaomiao Li; Peixuan Liang; Naz Farkhanda; Guanghua He; Yinghua Ling; Fangming Zhao
Journal:  Rice (N Y)       Date:  2021-06-16       Impact factor: 4.783

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