Literature DB >> 33407121

Identification and characterization of regulatory pathways involved in early flowering in the new leaves of alfalfa (Medicago sativa L.) by transcriptome analysis.

Dongmei Ma1, Bei Liu2, Lingqiao Ge2, Yinyin Weng2, Xiaohui Cao2, Fang Liu3, Peisheng Mao2, Xiqing Ma4.   

Abstract

BACKGROUND: Alfalfa (Medicago sativa L.) is a perennial legume extensively planted throughout the world as a high nutritive value livestock forage. Flowering time is an important agronomic trait that contributes to the production of alfalfa hay and seeds. However, the underlying molecular mechanisms of flowering time regulation in alfalfa are not well understood.
RESULTS: In this study, an early-flowering alfalfa genotype 80 and a late-flowering alfalfa genotype 195 were characterized for the flowering phenotype. Our analysis revealed that the lower jasmonate (JA) content in new leaves and the downregulation of JA biosynthetic genes (i.e. lipoxygenase, the 12-oxophytodienoate reductase-like protein, and salicylic acid carboxyl methyltransferase) may play essential roles in the early-flowering phenotype of genotype 80. Further research indicated that genes encode pathogenesis-related proteins [e.g. leucine rich repeat (LRR) family proteins, receptor-like proteins, and toll-interleukin-like receptor (TIR)-nucleotide-binding site (NBS)-LRR class proteins] and members of the signaling receptor kinase family [LRR proteins, kinases domain of unknown function 26 (DUF26) and wheat leucine-rich repeat receptor-like kinase10 (LRK10)-like kinases] are related to early flowering in alfalfa. Additionally, those involved in secondary metabolism (2-oxoglutarate/Fe (II)-dependent dioxygenases and UDP-glycosyltransferase) and the proteasome degradation pathway [really interesting new gene (RING)/U-box superfamily proteins and F-box family proteins] are also related to early flowering in alfalfa.
CONCLUSIONS: Integrated phenotypical, physiological, and transcriptomic analyses demonstrate that hormone biosynthesis and signaling pathways, pathogenesis-related genes, signaling receptor kinase family genes, secondary metabolism genes, and proteasome degradation pathway genes are responsible for the early flowering phenotype in alfalfa. This will provide new insights into future studies of flowering time in alfalfa and inform genetic improvement strategies for optimizing this important trait.

Entities:  

Keywords:  Alfalfa; Flowering time; Hormone; New leaves; Transcriptome

Year:  2021        PMID: 33407121     DOI: 10.1186/s12870-020-02775-9

Source DB:  PubMed          Journal:  BMC Plant Biol        ISSN: 1471-2229            Impact factor:   4.215


  43 in total

1.  SnapShot: Control of flowering in Arabidopsis.

Authors:  Fabio Fornara; Amaury de Montaigu; George Coupland
Journal:  Cell       Date:  2010-04-30       Impact factor: 41.582

Review 2.  The genetic basis of flowering responses to seasonal cues.

Authors:  Fernando Andrés; George Coupland
Journal:  Nat Rev Genet       Date:  2012-09       Impact factor: 53.242

Review 3.  Regulation of flowering time by the miR156-mediated age pathway.

Authors:  Jia-Wei Wang
Journal:  J Exp Bot       Date:  2014-06-22       Impact factor: 6.992

Review 4.  Epigenetic processes in flowering plant reproduction.

Authors:  Guifeng Wang; Claudia Köhler
Journal:  J Exp Bot       Date:  2017-02-01       Impact factor: 6.992

Review 5.  Molecular improvement of alfalfa for enhanced productivity and adaptability in a changing environment.

Authors:  Stacy D Singer; Abdelali Hannoufa; Surya Acharya
Journal:  Plant Cell Environ       Date:  2017-11-10       Impact factor: 7.228

Review 6.  Flowering time regulation in crops—what did we learn from Arabidopsis?

Authors:  Martina Blümel; Nadine Dally; Christian Jung
Journal:  Curr Opin Biotechnol       Date:  2014-12-30       Impact factor: 9.740

7.  The Arabidopsis RNA-binding protein FCA requires a lysine-specific demethylase 1 homolog to downregulate FLC.

Authors:  Fuquan Liu; Victor Quesada; Pedro Crevillén; Isabel Bäurle; Szymon Swiezewski; Caroline Dean
Journal:  Mol Cell       Date:  2007-11-09       Impact factor: 17.970

8.  Investigating the Association between Flowering Time and Defense in the Arabidopsis thaliana-Fusarium oxysporum Interaction.

Authors:  Rebecca Lyons; Anca Rusu; Jiri Stiller; Jonathan Powell; John M Manners; Kemal Kazan
Journal:  PLoS One       Date:  2015-06-02       Impact factor: 3.240

9.  QTL mapping of flowering time and biomass yield in tetraploid alfalfa (Medicago sativa L.).

Authors:  Laxman Adhikari; Shiva Om Makaju; Ali M Missaoui
Journal:  BMC Plant Biol       Date:  2019-08-16       Impact factor: 4.215

10.  Proteomics integrated with metabolomics: analysis of the internal causes of nutrient changes in alfalfa at different growth stages.

Authors:  Wenqiang Fan; Gentu Ge; Yinghao Liu; Wei Wang; Liying Liu; Yushan Jia
Journal:  BMC Plant Biol       Date:  2018-05-04       Impact factor: 4.215

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  5 in total

1.  Integrative Analyses of Transcriptomes and Metabolomes Reveal Associated Genes and Metabolites with Flowering Regulation in Common Vetch (Vicia sativa L.).

Authors:  Qiang Zhou; Yue Cui; Rui Dong; Dong Luo; Longfa Fang; Zhibiao Nan; Zhipeng Liu
Journal:  Int J Mol Sci       Date:  2022-06-19       Impact factor: 6.208

2.  Identification and Characterization of Regulatory Pathways Controlling Dormancy Under Lower Temperature in Alfalfa (Medicago sativa L.).

Authors:  Jingfu Liu; Tiemei Wang; Yinyin Weng; Bei Liu; Qiu Gao; Wei Ji; Zhuanling Wang; Yingwei Wang; Xiqing Ma
Journal:  Front Plant Sci       Date:  2022-06-02       Impact factor: 6.627

3.  Identification of Flowering Regulatory Networks and Hub Genes Expressed in the Leaves of Elymus sibiricus L. Using Comparative Transcriptome Analysis.

Authors:  Yuying Zheng; Na Wang; Zongyu Zhang; Wenhui Liu; Wengang Xie
Journal:  Front Plant Sci       Date:  2022-05-16       Impact factor: 6.627

4.  Genome-wide identification, characterization, and expression analysis of UDP-glycosyltransferase genes associated with secondary metabolism in alfalfa (Medicago sativa L.).

Authors:  Andong Yu; Xueqian Jiang; Yan Sun; Qiannan Hu; Xiaoxi Zhu; Junmei Kang; Lin Chen; Lin Liu; Linfeng Hao; Qingchuan Yang; Ruicai Long; Mingna Li
Journal:  Front Plant Sci       Date:  2022-09-30       Impact factor: 6.627

5.  Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development.

Authors:  Xueqian Jiang; Xijiang Yang; Fan Zhang; Tianhui Yang; Changfu Yang; Fei He; Ting Gao; Chuan Wang; Qingchuan Yang; Zhen Wang; Junmei Kang
Journal:  BMC Plant Biol       Date:  2022-10-11       Impact factor: 5.260

  5 in total

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