Literature DB >> 28639116

Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.).

Sebastián Moschen1,2, Julio A Di Rienzo3, Janet Higgins4, Takayuki Tohge5, Mutsumi Watanabe5, Sergio González1,2, Máximo Rivarola1,2, Francisco García-García6, Joaquin Dopazo6, H Esteban Hopp1,7, Rainer Hoefgen5, Alisdair R Fernie5, Norma Paniego1,2, Paula Fernández1,2,8, Ruth A Heinz9,10,11.   

Abstract

KEY MESSAGE: By integration of transcriptional and metabolic profiles we identified pathways and hubs transcription factors regulated during drought conditions in sunflower, useful for applications in molecular and/or biotechnological breeding. Drought is one of the most important environmental stresses that effects crop productivity in many agricultural regions. Sunflower is tolerant to drought conditions but the mechanisms involved in this tolerance remain unclear at the molecular level. The aim of this study was to characterize and integrate transcriptional and metabolic pathways related to drought stress in sunflower plants, by using a system biology approach. Our results showed a delay in plant senescence with an increase in the expression level of photosynthesis related genes as well as higher levels of sugars, osmoprotectant amino acids and ionic nutrients under drought conditions. In addition, we identified transcription factors that were upregulated during drought conditions and that may act as hubs in the transcriptional network. Many of these transcription factors belong to families implicated in the drought response in model species. The integration of transcriptomic and metabolomic data in this study, together with physiological measurements, has improved our understanding of the biological responses during droughts and contributes to elucidate the molecular mechanisms involved under this environmental condition. These findings will provide useful biotechnological tools to improve stress tolerance while maintaining crop yield under restricted water availability.

Entities:  

Keywords:  Data integration; Drought; Helianthus annuus L.; Metabolomics; Sunflower; Transcriptomics

Mesh:

Substances:

Year:  2017        PMID: 28639116     DOI: 10.1007/s11103-017-0625-5

Source DB:  PubMed          Journal:  Plant Mol Biol        ISSN: 0167-4412            Impact factor:   4.076


  68 in total

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Authors:  L A Allison
Journal:  Biochimie       Date:  2000 Jun-Jul       Impact factor: 4.079

2.  Comparison of predictive methods and biological validation for qPCR reference genes in sunflower leaf senescence transcript analysis.

Authors:  Paula Fernandez; Julio A Di Rienzo; Sebastián Moschen; Guillermo A A Dosio; Luis A N Aguirrezábal; H Esteban Hopp; Norma Paniego; Ruth A Heinz
Journal:  Plant Cell Rep       Date:  2010-11-13       Impact factor: 4.570

3.  TagFinder for the quantitative analysis of gas chromatography--mass spectrometry (GC-MS)-based metabolite profiling experiments.

Authors:  Alexander Luedemann; Katrin Strassburg; Alexander Erban; Joachim Kopka
Journal:  Bioinformatics       Date:  2008-01-19       Impact factor: 6.937

4.  Hydrogen peroxide produced by NADPH oxidases increases proline accumulation during salt or mannitol stress in Arabidopsis thaliana.

Authors:  Kilani Ben Rejeb; Delphine Lefebvre-De Vos; Isabel Le Disquet; Anne-Sophie Leprince; Marianne Bordenave; Régis Maldiney; Asma Jdey; Chedly Abdelly; Arnould Savouré
Journal:  New Phytol       Date:  2015-07-15       Impact factor: 10.151

5.  Isoprene increases thermotolerance of fosmidomycin-fed leaves.

Authors:  T D Sharkey; X Chen; S Yeh
Journal:  Plant Physiol       Date:  2001-04       Impact factor: 8.340

6.  Betaine Synthesis from Radioactive Precursors in Attached, Water-stressed Barley Leaves.

Authors:  A D Hanson; N A Scott
Journal:  Plant Physiol       Date:  1980-08       Impact factor: 8.340

7.  Co-expression of the stress-inducible zinc finger homeodomain ZFHD1 and NAC transcription factors enhances expression of the ERD1 gene in Arabidopsis.

Authors:  Lam-Son Phan Tran; Kazuo Nakashima; Yoh Sakuma; Yuriko Osakabe; Feng Qin; Sean D Simpson; Kyonoshin Maruyama; Yasunari Fujita; Kazuo Shinozaki; Kazuko Yamaguchi-Shinozaki
Journal:  Plant J       Date:  2007-01       Impact factor: 6.417

8.  The multiple-stress responsive plastid sigma factor, SIG5, directs activation of the psbD blue light-responsive promoter (BLRP) in Arabidopsis thaliana.

Authors:  Akitomo Nagashima; Mitsumasa Hanaoka; Toshiharu Shikanai; Makoto Fujiwara; Kengo Kanamaru; Hideo Takahashi; Kan Tanaka
Journal:  Plant Cell Physiol       Date:  2004-04       Impact factor: 4.927

9.  Babelomics 5.0: functional interpretation for new generations of genomic data.

Authors:  Roberto Alonso; Francisco Salavert; Francisco Garcia-Garcia; Jose Carbonell-Caballero; Marta Bleda; Luz Garcia-Alonso; Alba Sanchis-Juan; Daniel Perez-Gil; Pablo Marin-Garcia; Ruben Sanchez; Cankut Cubuk; Marta R Hidalgo; Alicia Amadoz; Rosa D Hernansaiz-Ballesteros; Alejandro Alemán; Joaquin Tarraga; David Montaner; Ignacio Medina; Joaquin Dopazo
Journal:  Nucleic Acids Res       Date:  2015-04-20       Impact factor: 16.971

10.  Identification of candidate genes associated with leaf senescence in cultivated sunflower (Helianthus annuus L.).

Authors:  Sebastian Moschen; Sofia Bengoa Luoni; Norma B Paniego; H Esteban Hopp; Guillermo A A Dosio; Paula Fernandez; Ruth A Heinz
Journal:  PLoS One       Date:  2014-08-11       Impact factor: 3.240

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  19 in total

Review 1.  Crop metabolomics: from diagnostics to assisted breeding.

Authors:  Saleh Alseekh; Luisa Bermudez; Luis Alejandro de Haro; Alisdair R Fernie; Fernando Carrari
Journal:  Metabolomics       Date:  2018-11-03       Impact factor: 4.290

2.  Combined GWAS and Transcriptome Analyses Provide New Insights Into the Response Mechanisms of Sunflower Against Drought Stress.

Authors:  Yang Wu; Huimin Shi; Haifeng Yu; Yu Ma; Haibo Hu; Zhigang Han; Yonghu Zhang; Zilong Zhen; Liuxi Yi; Jianhua Hou
Journal:  Front Plant Sci       Date:  2022-05-03       Impact factor: 6.627

3.  Unravelling Differences in Candidate Genes for Drought Tolerance in Potato (Solanum tuberosum L.) by Use of New Functional Microsatellite Markers.

Authors:  Christina Schumacher; Christoph Tim Krannich; Lisa Maletzki; Karin Köhl; Joachim Kopka; Heike Sprenger; Dirk Karl Hincha; Sylvia Seddig; Rolf Peters; Sadia Hamera; Ellen Zuther; Manuela Haas; Renate Horn
Journal:  Genes (Basel)       Date:  2021-03-28       Impact factor: 4.096

4.  Impact of melatonin and tryptophan on water stress tolerance in white lupine (Lupinus termis L.).

Authors:  Mervat Shamoon Sadak; Amany Abd El-Mohsen Ramadan
Journal:  Physiol Mol Biol Plants       Date:  2021-03-05

5.  Prediction of putative small molecules for manipulation of enriched signalling pathways in hESC-derived early cardiovascular progenitors by bioinformatics analysis.

Authors:  Sadaf Vahdat; Behnaz Bakhshandeh
Journal:  IET Syst Biol       Date:  2019-04       Impact factor: 1.615

6.  Metabolomic characterization of sunflower leaf allows discriminating genotype groups or stress levels with a minimal set of metabolic markers.

Authors:  Olivier Fernandez; Maria Urrutia; Thierry Berton; Stéphane Bernillon; Catherine Deborde; Daniel Jacob; Mickaël Maucourt; Pierre Maury; Harold Duruflé; Yves Gibon; Nicolas B Langlade; Annick Moing
Journal:  Metabolomics       Date:  2019-03-30       Impact factor: 4.290

7.  Transcriptomic and evolutionary analysis of the mechanisms by which P. argentatum, a rubber producing perennial, responds to drought.

Authors:  Andrew D L Nelson; Grisel Ponciano; Colleen McMahan; Daniel C Ilut; N Ace Pugh; Diaa Eldin Elshikha; Douglas J Hunsaker; Duke Pauli
Journal:  BMC Plant Biol       Date:  2019-11-13       Impact factor: 4.215

8.  He-Ne Laser Seed Treatment Improves the Nutraceutical Metabolic Pool of Sunflowers and Provides Better Tolerance Against Water Deficit.

Authors:  Saqib Mahmood; Beenish Afzal; Shagufta Perveen; Abdul Wahid; Muhammad Azeem; Naeem Iqbal
Journal:  Front Plant Sci       Date:  2021-05-17       Impact factor: 5.753

Review 9.  Genetic Improvement in Sunflower Breeding-Integrated Omics Approach.

Authors:  Milan Jocković; Siniša Jocić; Sandra Cvejić; Ana Marjanović-Jeromela; Jelena Jocković; Aleksandra Radanović; Dragana Miladinović
Journal:  Plants (Basel)       Date:  2021-06-04

Review 10.  Sunflower Hybrid Breeding: From Markers to Genomic Selection.

Authors:  Aleksandra Dimitrijevic; Renate Horn
Journal:  Front Plant Sci       Date:  2018-01-17       Impact factor: 5.753

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