Literature DB >> 23795675

Nitrogen deprivation promotes Populus root growth through global transcriptome reprogramming and activation of hierarchical genetic networks.

Hairong Wei1,2,3, Yordan S Yordanov1, Tatyana Georgieva1, Xiang Li3, Victor Busov1,2.   

Abstract

We show a distinct and previously poorly characterized response of poplar (Populus tremula × Populus alba) roots to low nitrogen (LN), which involves activation of root growth and significant transcriptome reprogramming. Analysis of the temporal patterns of enriched ontologies among the differentially expressed genes revealed an ordered assembly of functionally cohesive biological events that aligned well with growth and morphological responses. A core set of 28 biological processes was significantly enriched across the whole studied period and 21 of these were also enriched in the roots of Arabidopsis thaliana during the LN response. More than half (15) of the 28 processes belong to gene ontology (GO) terms associated with signaling and signal transduction pathways, suggesting the presence of conserved signaling mechanisms triggered by LN. A reconstruction of genetic regulatory network analysis revealed a sub-network centered on a PtaNAC1 (P. tremula × alba NAM, ATAF, CUC 1) transcription factor. PtaNAC1 root-specific up-regulation increased root biomass and significantly changed the expression of the connected hub genes specifically under LN. Our results provide evidence that the root response to LN involves hierarchically structured genetic networks centered on key regulatory factors. Targeting these factors via genetic engineering or breeding approaches can allow dynamic adjustment of root architecture in response to variable nitrogen availabilities in the soil.
© 2013 The Authors. New Phytologist © 2013 New Phytologist Trust.

Entities:  

Keywords:  Populus; abiotic stress; hierarchical genetic networks; nitrogen deprivation; root architecture; root development

Mesh:

Substances:

Year:  2013        PMID: 23795675     DOI: 10.1111/nph.12375

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  22 in total

1.  Genetic networks involved in poplar root response to low nitrogen.

Authors:  Hairong Wei; Yordan Yordanov; Sapna Kumari; Tatyana Georgieva; Victor Busov
Journal:  Plant Signal Behav       Date:  2013-12-03

2.  Transcriptome analysis for identifying possible gene regulations during maize root emergence and formation at the initial growth stage.

Authors:  Sun-Goo Hwang; Kyung-Hee Kim; Byung-Moo Lee; Jun-Cheol Moon
Journal:  Genes Genomics       Date:  2018-04-07       Impact factor: 1.839

3.  A network of genes associated with poplar root development in response to low nitrogen.

Authors:  Madhumita Dash; Yordan S Yordanov; Tatyana Georgieva; Sapna Kumari; Hairong Wei; Victor Busov
Journal:  Plant Signal Behav       Date:  2016-08-02

4.  Genome-wide identification and characterization of novel lncRNAs in Populus under nitrogen deficiency.

Authors:  Min Chen; Chenlu Wang; Hai Bao; Hui Chen; Yanwei Wang
Journal:  Mol Genet Genomics       Date:  2016-05-02       Impact factor: 3.291

5.  MicroRNA expression profiles from eggs of different qualities associated with post-ovulatory ageing in rainbow trout (Oncorhynchus mykiss).

Authors:  Hao Ma; Gregory M Weber; Mark A Hostuttler; Hairong Wei; Lei Wang; Jianbo Yao
Journal:  BMC Genomics       Date:  2015-03-17       Impact factor: 3.969

6.  Metabolic and co-expression network-based analyses associated with nitrate response in rice.

Authors:  Viktoriya Coneva; Caitlin Simopoulos; José A Casaretto; Ashraf El-Kereamy; David R Guevara; Jonathan Cohn; Tong Zhu; Lining Guo; Danny C Alexander; Yong-Mei Bi; Paul D McNicholas; Steven J Rothstein
Journal:  BMC Genomics       Date:  2014-12-03       Impact factor: 3.969

7.  Tissue- and Cell-Specific Cytokinin Activity in Populus × canescens Monitored by ARR5::GUS Reporter Lines in Summer and Winter.

Authors:  Shanty Paul; Henning Wildhagen; Dennis Janz; Thomas Teichmann; Robert Hänsch; Andrea Polle
Journal:  Front Plant Sci       Date:  2016-05-13       Impact factor: 5.753

8.  RNA-SEQ Reveals Transcriptional Level Changes of Poplar Roots in Different Forms of Nitrogen Treatments.

Authors:  Chun-Pu Qu; Zhi-Ru Xu; Yan-Bo Hu; Yao Lu; Cheng-Jun Yang; Guang-Yu Sun; Guan-Jun Liu
Journal:  Front Plant Sci       Date:  2016-02-02       Impact factor: 5.753

Review 9.  Learning from Co-expression Networks: Possibilities and Challenges.

Authors:  Elise A R Serin; Harm Nijveen; Henk W M Hilhorst; Wilco Ligterink
Journal:  Front Plant Sci       Date:  2016-04-08       Impact factor: 5.753

10.  Bottom-up GGM algorithm for constructing multilayered hierarchical gene regulatory networks that govern biological pathways or processes.

Authors:  Sapna Kumari; Wenping Deng; Chathura Gunasekara; Vincent Chiang; Huann-Sheng Chen; Hao Ma; Xin Davis; Hairong Wei
Journal:  BMC Bioinformatics       Date:  2016-03-18       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.