Literature DB >> 26132509

Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower.

Sebastián Moschen1,2, Sofía Bengoa Luoni3, Julio A Di Rienzo4, María Del Pilar Caro5, Takayuki Tohge6, Mutsumi Watanabe6, Julien Hollmann7, Sergio González1,2, Máximo Rivarola1,2, Francisco García-García8,9, Joaquin Dopazo8,9, Horacio Esteban Hopp1,10, Rainer Hoefgen6, Alisdair R Fernie6, Norma Paniego1,2, Paula Fernández1,2,3, Ruth A Heinz1,2,10.   

Abstract

Leaf senescence is a complex process, which has dramatic consequences on crop yield. In sunflower, gap between potential and actual yields reveals the economic impact of senescence. Indeed, sunflower plants are incapable of maintaining their green leaf area over sustained periods. This study characterizes the leaf senescence process in sunflower through a systems biology approach integrating transcriptomic and metabolomic analyses: plants being grown under both glasshouse and field conditions. Our results revealed a correspondence between profile changes detected at the molecular, biochemical and physiological level throughout the progression of leaf senescence measured at different plant developmental stages. Early metabolic changes were detected prior to anthesis and before the onset of the first senescence symptoms, with more pronounced changes observed when physiological and molecular variables were assessed under field conditions. During leaf development, photosynthetic activity and cell growth processes decreased, whereas sucrose, fatty acid, nucleotide and amino acid metabolisms increased. Pathways related to nutrient recycling processes were also up-regulated. Members of the NAC, AP2-EREBP, HB, bZIP and MYB transcription factor families showed high expression levels, and their expression level was highly correlated, suggesting their involvement in sunflower senescence. The results of this study thus contribute to the elucidation of the molecular mechanisms involved in the onset and progression of leaf senescence in sunflower leaves as well as to the identification of candidate genes involved in this process.
© 2015 Society for Experimental Biology, Association of Applied Biologists and John Wiley & Sons Ltd.

Entities:  

Keywords:  candidate genes; data integration; leaf senescence; metabolomics; sunflower; transcriptomics

Mesh:

Substances:

Year:  2015        PMID: 26132509     DOI: 10.1111/pbi.12422

Source DB:  PubMed          Journal:  Plant Biotechnol J        ISSN: 1467-7644            Impact factor:   9.803


  23 in total

1.  A sunflower WRKY transcription factor stimulates the mobilization of seed-stored reserves during germination and post-germination growth.

Authors:  Jesica Raineri; Matías D Hartman; Raquel L Chan; Alberto A Iglesias; Karina F Ribichich
Journal:  Plant Cell Rep       Date:  2016-06-01       Impact factor: 4.570

2.  Metabolite signatures of grasspea suspension-cultured cells illustrate the complexity of dehydration response.

Authors:  Divya Rathi; Akanksha Pareek; Tong Zhang; Qiuying Pang; Sixue Chen; Subhra Chakraborty; Niranjan Chakraborty
Journal:  Planta       Date:  2019-06-15       Impact factor: 4.116

3.  Opposite fates of the purine metabolite allantoin under water and nitrogen limitations in bread wheat.

Authors:  Alberto Casartelli; Vanessa J Melino; Ute Baumann; Matteo Riboni; Radoslaw Suchecki; Nirupama S Jayasinghe; Himasha Mendis; Mutsumi Watanabe; Alexander Erban; Ellen Zuther; Rainer Hoefgen; Ute Roessner; Mamoru Okamoto; Sigrid Heuer
Journal:  Plant Mol Biol       Date:  2019-02-05       Impact factor: 4.076

4.  Intergrative metabolomic and transcriptomic analyses unveil nutrient remobilization events in leaf senescence of tobacco.

Authors:  Wei Li; Hailiang Zhang; Xiaoxu Li; Fengxia Zhang; Cheng Liu; Yongmei Du; Xiaoming Gao; Zenglin Zhang; Xiaobing Zhang; Zhihui Hou; Hui Zhou; Xiaofei Sheng; Guodong Wang; Yongfeng Guo
Journal:  Sci Rep       Date:  2017-09-21       Impact factor: 4.379

5.  Excessive nitrogen application dampens antioxidant capacity and grain filling in wheat as revealed by metabolic and physiological analyses.

Authors:  Lingan Kong; Yan Xie; Ling Hu; Jisheng Si; Zongshuai Wang
Journal:  Sci Rep       Date:  2017-02-24       Impact factor: 4.379

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

Authors:  Sebastián Moschen; Julio A Di Rienzo; Janet Higgins; Takayuki Tohge; Mutsumi Watanabe; Sergio González; Máximo Rivarola; Francisco García-García; Joaquin Dopazo; H Esteban Hopp; Rainer Hoefgen; Alisdair R Fernie; Norma Paniego; Paula Fernández; Ruth A Heinz
Journal:  Plant Mol Biol       Date:  2017-06-21       Impact factor: 4.076

7.  Comparative Transcriptome Analysis of Salt Stress-Induced Leaf Senescence in Medicago truncatula.

Authors:  Shuwei Dong; Lijun Sang; Hongli Xie; Maofeng Chai; Zeng-Yu Wang
Journal:  Front Plant Sci       Date:  2021-07-09       Impact factor: 5.753

Review 8.  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

9.  Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower.

Authors:  Sebastián Moschen; Janet Higgins; Julio A Di Rienzo; Ruth A Heinz; Norma Paniego; Paula Fernandez
Journal:  BMC Bioinformatics       Date:  2016-06-06       Impact factor: 3.169

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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