Literature DB >> 31239390

Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize.

Rajandeep S Sekhon1, Christopher Saski2, Rohit Kumar3, Barry S Flinn2, Feng Luo4, Timothy M Beissinger5, Arlyn J Ackerman3, Matthew W Breitzman6, William C Bridges7, Natalia de Leon6, Shawn M Kaeppler6.   

Abstract

Premature senescence in annual crops reduces yield, while delayed senescence, termed stay-green, imposes positive and negative impacts on yield and nutrition quality. Despite its importance, scant information is available on the genetic architecture of senescence in maize (Zea mays) and other cereals. We combined a systematic characterization of natural diversity for senescence in maize and coexpression networks derived from transcriptome analysis of normally senescing and stay-green lines. Sixty-four candidate genes were identified by genome-wide association study (GWAS), and 14 of these genes are supported by additional evidence for involvement in senescence-related processes including proteolysis, sugar transport and signaling, and sink activity. Eight of the GWAS candidates, independently supported by a coexpression network underlying stay-green, include a trehalose-6-phosphate synthase, a NAC transcription factor, and two xylan biosynthetic enzymes. Source-sink communication and the activity of cell walls as a secondary sink emerge as key determinants of stay-green. Mutant analysis supports the role of a candidate encoding Cys protease in stay-green in Arabidopsis (Arabidopsis thaliana), and analysis of natural alleles suggests a similar role in maize. This study provides a foundation for enhanced understanding and manipulation of senescence for increasing carbon yield, nutritional quality, and stress tolerance of maize and other cereals.
© 2019 American Society of Plant Biologists. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31239390      PMCID: PMC6751112          DOI: 10.1105/tpc.18.00930

Source DB:  PubMed          Journal:  Plant Cell        ISSN: 1040-4651            Impact factor:   11.277


  121 in total

1.  Growth stage-based phenotypic analysis of Arabidopsis: a model for high throughput functional genomics in plants.

Authors:  D C Boyes; A M Zayed; R Ascenzi; A J McCaskill; N E Hoffman; K R Davis; J Görlach
Journal:  Plant Cell       Date:  2001-07       Impact factor: 11.277

2.  Quantitative trait loci associated with functional stay-green SNU-SG1 in rice.

Authors:  Soo-Cheul Yoo; Sung-Hwan Cho; Haitao Zhang; Hyo-Chung Paik; Chung-Hee Lee; Jinjie Li; Jeong-Hoon Yoo; Byun-Woo Lee; Hee-Jong Koh; Hak Soo Seo; Nam-Chon Paek
Journal:  Mol Cells       Date:  2007-08-31       Impact factor: 5.034

3.  BES1 accumulates in the nucleus in response to brassinosteroids to regulate gene expression and promote stem elongation.

Authors:  Yanhai Yin; Zhi Yong Wang; Santiago Mora-Garcia; Jianming Li; Shigeo Yoshida; Tadao Asami; Joanne Chory
Journal:  Cell       Date:  2002-04-19       Impact factor: 41.582

4.  A Role for Cytokinins in De-Etiolation in Arabidopsis (det Mutants Have an Altered Response to Cytokinins).

Authors:  J. Chory; D. Reinecke; S. Sim; T. Washburn; M. Brenner
Journal:  Plant Physiol       Date:  1994-02       Impact factor: 8.340

5.  SUGAR-INDUCED SIGNAL TRANSDUCTION IN PLANTS.

Authors:  Sjef Smeekens
Journal:  Annu Rev Plant Physiol Plant Mol Biol       Date:  2000-06

6.  Plant leaf senescence and death - regulation by multiple layers of control and implications for aging in general.

Authors:  Hye Ryun Woo; Hyo Jung Kim; Hong Gil Nam; Pyung Ok Lim
Journal:  J Cell Sci       Date:  2013-10-21       Impact factor: 5.285

7.  Novel Loci Underlie Natural Variation in Vitamin E Levels in Maize Grain.

Authors:  Christine H Diepenbrock; Catherine B Kandianis; Alexander E Lipka; Maria Magallanes-Lundback; Brieanne Vaillancourt; Elsa Góngora-Castillo; Jason G Wallace; Jason Cepela; Alex Mesberg; Peter J Bradbury; Daniel C Ilut; Maria Mateos-Hernandez; John Hamilton; Brenda F Owens; Tyler Tiede; Edward S Buckler; Torbert Rocheford; C Robin Buell; Michael A Gore; Dean DellaPenna
Journal:  Plant Cell       Date:  2017-10-02       Impact factor: 11.277

8.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

9.  Overexpression of OsSWEET5 in rice causes growth retardation and precocious senescence.

Authors:  Yong Zhou; Li Liu; Weifeng Huang; Meng Yuan; Fei Zhou; Xianghua Li; Yongjun Lin
Journal:  PLoS One       Date:  2014-04-07       Impact factor: 3.240

10.  Transcriptomic analysis comparing stay-green and senescent Sorghum bicolor lines identifies a role for proline biosynthesis in the stay-green trait.

Authors:  Stephanie M Johnson; Ian Cummins; Fei Ling Lim; Antoni R Slabas; Marc R Knight
Journal:  J Exp Bot       Date:  2015-08-28       Impact factor: 6.992

View more
  22 in total

1.  Senescence: The Genetics behind Stay-Green Corn.

Authors:  Caseys Céline
Journal:  Plant Cell       Date:  2019-06-25       Impact factor: 11.277

2.  Tissue-specific transcriptomics reveal functional differences in floral development.

Authors:  Hailong Yang; Kate Nukunya; Queying Ding; Beth E Thompson
Journal:  Plant Physiol       Date:  2022-02-04       Impact factor: 8.340

3.  Multiomics approach reveals a role of translational machinery in shaping maize kernel amino acid composition.

Authors:  Vivek Shrestha; Abou Yobi; Marianne L Slaten; Yen On Chan; Samuel Holden; Abiskar Gyawali; Sherry Flint-Garcia; Alexander E Lipka; Ruthie Angelovici
Journal:  Plant Physiol       Date:  2022-01-20       Impact factor: 8.005

4.  Diverse maize hybrids are structurally inefficient at resisting wind induced bending forces that cause stalk lodging.

Authors:  Christopher J Stubbs; Kate Seegmiller; Christopher McMahan; Rajandeep S Sekhon; Daniel J Robertson
Journal:  Plant Methods       Date:  2020-05-12       Impact factor: 4.993

5.  Predicting Zea mays Flowering Time, Yield, and Kernel Dimensions by Analyzing Aerial Images.

Authors:  Guosheng Wu; Nathan D Miller; Natalia de Leon; Shawn M Kaeppler; Edgar P Spalding
Journal:  Front Plant Sci       Date:  2019-10-11       Impact factor: 5.753

6.  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

7.  Interaction Between Induced and Natural Variation at oil yellow1 Delays Reproductive Maturity in Maize.

Authors:  Rajdeep S Khangura; Bala P Venkata; Sandeep R Marla; Michael V Mickelbart; Singha Dhungana; David M Braun; Brian P Dilkes; Gurmukh S Johal
Journal:  G3 (Bethesda)       Date:  2020-02-06       Impact factor: 3.154

Review 8.  Signal Transduction in Leaf Senescence: Progress and Perspective.

Authors:  Salman Ahmad; Yongfeng Guo
Journal:  Plants (Basel)       Date:  2019-10-10

9.  Integrating GWAS and Gene Expression Analysis Identifies Candidate Genes for Root Morphology Traits in Maize at the Seedling Stage.

Authors:  Houmiao Wang; Jie Wei; Pengcheng Li; Yunyun Wang; Zhenzhen Ge; Jiayi Qian; Yingying Fan; Jinran Ni; Yang Xu; Zefeng Yang; Chenwu Xu
Journal:  Genes (Basel)       Date:  2019-10-02       Impact factor: 4.096

Review 10.  Stay-Green Trait: A Prospective Approach for Yield Potential, and Drought and Heat Stress Adaptation in Globally Important Cereals.

Authors:  Nasrein Mohamed Kamal; Yasir Serag Alnor Gorafi; Mostafa Abdelrahman; Eltayb Abdellatef; Hisashi Tsujimoto
Journal:  Int J Mol Sci       Date:  2019-11-20       Impact factor: 5.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.