Literature DB >> 24828307

Floral Transcriptomes in Woodland Strawberry Uncover Developing Receptacle and Anther Gene Networks.

Courtney A Hollender1, Chunying Kang1, Omar Darwish1, Aviva Geretz1, Benjamin F Matthews1, Janet Slovin1, Nadim Alkharouf1, Zhongchi Liu2.   

Abstract

Flowers are reproductive organs and precursors to fruits and seeds. While the basic tenets of the ABCE model of flower development are conserved in angiosperms, different flowering plants exhibit different and sometimes unique characteristics. A distinct feature of strawberry (Fragaria spp.) flowers is the development of several hundreds of individual apocarpous (unfused) carpels. These individual carpels are arranged in a spiral pattern on the subtending stem tip, the receptacle. Therefore, the receptacle is an integral part of the strawberry flower and is of significant agronomic importance, being the precursor to strawberry fruit. Taking advantage of next-generation sequencing and laser capture microdissection, we generated different tissue- and stage-transcriptomic profiling of woodland strawberry (Fragaria vesca) flower development. Using pairwise comparisons and weighted gene coexpression network analysis, we identified modules of coexpressed genes and hub genes of tissue-specific networks. Of particular importance is the discovery of a developing receptacle-specific module exhibiting similar molecular features to those of young floral meristems. The strawberry homologs of a number of meristem regulators, including LOST MERISTEM and WUSCHEL, are identified as hub genes operating in the developing receptacle network. Furthermore, almost 25% of the F-box genes in the genome are transiently induced in developing anthers at the meiosis stage, indicating active protein degradation. Together, this work provides important insights into the molecular networks underlying strawberry's unique reproductive developmental processes. This extensive floral transcriptome data set is publicly available and can be readily queried at the project Web site, serving as an important genomic resource for the plant biology research community.
© 2014 American Society of Plant Biologists. All Rights Reserved.

Entities:  

Year:  2014        PMID: 24828307      PMCID: PMC4081322          DOI: 10.1104/pp.114.237529

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  37 in total

1.  Transcriptome profiling of maize anthers using genetic ablation to analyze pre-meiotic and tapetal cell types.

Authors:  Jiong Ma; David Duncan; Darren J Morrow; John Fernandes; Virginia Walbot
Journal:  Plant J       Date:  2007-04-05       Impact factor: 6.417

2.  Arabidopsis homologs of the petunia hairy meristem gene are required for maintenance of shoot and root indeterminacy.

Authors:  Eric M Engstrom; Carl M Andersen; Juliann Gumulak-Smith; John Hu; Evguenia Orlova; Rosangela Sozzani; John L Bowman
Journal:  Plant Physiol       Date:  2010-12-20       Impact factor: 8.340

3.  SKP1 connects cell cycle regulators to the ubiquitin proteolysis machinery through a novel motif, the F-box.

Authors:  C Bai; P Sen; K Hofmann; L Ma; M Goebl; J W Harper; S J Elledge
Journal:  Cell       Date:  1996-07-26       Impact factor: 41.582

4.  AMR1, an Arabidopsis gene that coordinately and negatively regulates the mannose/l-galactose ascorbic acid biosynthetic pathway.

Authors:  Wenyan Zhang; Argelia Lorence; Hope A Gruszewski; Boris I Chevone; Craig L Nessler
Journal:  Plant Physiol       Date:  2009-04-24       Impact factor: 8.340

5.  MAPMAN: a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes.

Authors:  Oliver Thimm; Oliver Bläsing; Yves Gibon; Axel Nagel; Svenja Meyer; Peter Krüger; Joachim Selbig; Lukas A Müller; Seung Y Rhee; Mark Stitt
Journal:  Plant J       Date:  2004-03       Impact factor: 6.417

6.  Analysis of anther transcriptomes to identify genes contributing to meiosis and male gametophyte development in rice.

Authors:  Priyanka Deveshwar; William D Bovill; Rita Sharma; Jason A Able; Sanjay Kapoor
Journal:  BMC Plant Biol       Date:  2011-05-09       Impact factor: 4.215

7.  Differential expression analysis for sequence count data.

Authors:  Simon Anders; Wolfgang Huber
Journal:  Genome Biol       Date:  2010-10-27       Impact factor: 13.583

Review 8.  The F-box protein family.

Authors:  E T Kipreos; M Pagano
Journal:  Genome Biol       Date:  2000-11-10       Impact factor: 13.583

9.  Global gene expression analysis of the shoot apical meristem of maize (Zea mays L.).

Authors:  Kazuhiro Ohtsu; Marianne B Smith; Scott J Emrich; Lisa A Borsuk; Ruilian Zhou; Tianle Chen; Xiaolan Zhang; Marja C P Timmermans; Jon Beck; Brent Buckner; Diane Janick-Buckner; Dan Nettleton; Michael J Scanlon; Patrick S Schnable
Journal:  Plant J       Date:  2007-08-23       Impact factor: 6.417

10.  MYB97, MYB101 and MYB120 function as male factors that control pollen tube-synergid interaction in Arabidopsis thaliana fertilization.

Authors:  Yan Liang; Ze-Min Tan; Lei Zhu; Qian-Kun Niu; Jing-Jing Zhou; Meng Li; Li-Qun Chen; Xue-Qin Zhang; De Ye
Journal:  PLoS Genet       Date:  2013-11-21       Impact factor: 5.917

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  72 in total

Review 1.  Floral Organogenesis: When Knowing Your ABCs Is Not Enough.

Authors:  Bennett Thomson; Beibei Zheng; Frank Wellmer
Journal:  Plant Physiol       Date:  2016-10-27       Impact factor: 8.340

2.  Identification of Woodland Strawberry Gene Coexpression Networks.

Authors:  Lisa M Smith
Journal:  Plant Physiol       Date:  2018-09       Impact factor: 8.340

3.  Bioinformatic and expression analyses on carotenoid dioxygenase genes in fruit development and abiotic stress responses in Fragaria vesca.

Authors:  Yong Wang; Guanqun Ding; Tingting Gu; Jing Ding; Yi Li
Journal:  Mol Genet Genomics       Date:  2017-04-25       Impact factor: 3.291

Review 4.  Bioinformatics resources for pollen.

Authors:  Luca Ambrosino; Hamed Bostan; Valentino Ruggieri; Maria Luisa Chiusano
Journal:  Plant Reprod       Date:  2016-06-08       Impact factor: 3.767

5.  Novel and Recently Evolved MicroRNA Clusters Regulate Expansive F-BOX Gene Networks through Phased Small Interfering RNAs in Wild Diploid Strawberry.

Authors:  Rui Xia; Songqing Ye; Zongrang Liu; Blake C Meyers; Zhongchi Liu
Journal:  Plant Physiol       Date:  2015-07-04       Impact factor: 8.340

6.  Allelic Variation of MYB10 Is the Major Force Controlling Natural Variation in Skin and Flesh Color in Strawberry (Fragaria spp.) Fruit.

Authors:  Cristina Castillejo; Veronika Waurich; Henning Wagner; Rubén Ramos; Nicolás Oiza; Pilar Muñoz; Juan C Triviño; Julie Caruana; Zhongchi Liu; Nicolás Cobo; Michael A Hardigan; Steven J Knapp; José G Vallarino; Sonia Osorio; Carmen Martín-Pizarro; David Posé; Tuomas Toivainen; Timo Hytönen; Youngjae Oh; Christopher R Barbey; Vance M Whitaker; Seonghee Lee; Klaus Olbricht; José F Sánchez-Sevilla; Iraida Amaya
Journal:  Plant Cell       Date:  2020-09-30       Impact factor: 11.277

7.  EXO70A2 Is Critical for Exocyst Complex Function in Pollen Development.

Authors:  Vedrana Marković; Fatima Cvrčková; Martin Potocký; Ivan Kulich; Přemysl Pejchar; Eva Kollárová; Lukáš Synek; Viktor Žárský
Journal:  Plant Physiol       Date:  2020-10-13       Impact factor: 8.340

8.  Consensus Coexpression Network Analysis Identifies Key Regulators of Flower and Fruit Development in Wild Strawberry.

Authors:  Rachel Shahan; Christopher Zawora; Haley Wight; John Sittmann; Wanpeng Wang; Stephen M Mount; Zhongchi Liu
Journal:  Plant Physiol       Date:  2018-07-10       Impact factor: 8.340

9.  Transcriptomic analysis reveals potential genes involved in tanshinone biosynthesis in Salvia miltiorrhiza.

Authors:  Yujie Chang; Meizhen Wang; Jiang Li; Shanfa Lu
Journal:  Sci Rep       Date:  2019-10-17       Impact factor: 4.379

10.  Transcriptome and hormone analyses provide insights into hormonal regulation in strawberry ripening.

Authors:  Tingting Gu; Shufen Jia; Xiaorong Huang; Lei Wang; Weimin Fu; Guotao Huo; Lijun Gan; Jing Ding; Yi Li
Journal:  Planta       Date:  2019-04-04       Impact factor: 4.116

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