Original Research ARTICLE
RNA-Seq Profiling Shows Divergent Gene Expression Patterns in Arabidopsis Growth under Different Densities
- 1North China University of Science and Technology, China
Plants growing under high-density conditions experience increased competition for water, nutrients, and light, possibly leading to changes in size, biomass, morphology, and productivity. However, no research has focused on the relationship between whole-genome expression patterns and growth density. Here, we performed whole-genome RNA sequencing to examine the gene expression patterns in Arabidopsis grown under low and high densities. Of the 20,660 detected genes, the expression levels of 98 were enhanced and 107 were repressed under high-density growth. Further analysis revealed that changes in density influenced metabolism- and stimulus-related genes the most. Furthermore, high-density growth led to a shade avoidance phenotype, represented by upward growth and a reduction in rosette leaves. Moreover, a cluster of glutaredoxin genes, GRXS3, 4, 5, 7, and 8, were significantly down-regulated under high density, suggesting that high density affects plant growth mainly by nitrate limitation.
Keywords: Growth density, RNA-Seq, shade avoidance, glutaredoxin, Arabidopsis
Received: 20 Jun 2017;
Accepted: 09 Nov 2017.
Edited by:Xiaowu Wang, Biotechnology Research Institute (CAAS), China
Reviewed by:Jinghua Yang, Zhejiang University, China
Erin E. Sparks, University of Delaware, United States
Kui LIN, Beijing Normal University, China
Copyright: © 2017 Guo, Song, Yuan, Wang, Ge, Wang, Wang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dr. Xiyin Wang, North China University of Science and Technology, Tangshan, China, email@example.com