Next Article in Journal
Multi-Year N and P Removal of a 10-Year-Old Surface Flow Constructed Wetland Treating Agricultural Drainage Waters
Previous Article in Journal
Analysis of Distribution of Selected Bioactive Compounds in Camelina sativa from Seeds to Pomace and Oil
Article Menu

Export Article

Open AccessArticle
Agronomy 2019, 9(4), 169; https://doi.org/10.3390/agronomy9040169

Transcriptome Analysis of Banana (Musa acuminate L.) in Response to Low-Potassium Stress

Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources, Institute of Tropical Agriculture and Forestry, Hainan University, No.58 Renmin Avenue, Haikou 570228, China
*
Author to whom correspondence should be addressed.
Received: 1 March 2019 / Revised: 23 March 2019 / Accepted: 27 March 2019 / Published: 29 March 2019
  |  
PDF [3855 KB, uploaded 29 March 2019]
  |  

Abstract

Potassium (K+) is an abundant and important macronutrient for plants. It plays crucial roles in many growth and developmental processes, and growth is inhibited under low −K+ conditions. The molecular mechanisms operating under K+ starvation have been little reported in banana, which is a non-model plant. We conducted a transcriptome analysis of banana (Musa acuminata L. AAA group, cv. Cavendish) in response to low −K+ stress. The phenotypic traits and transcriptomic profiles of banana leaves and roots were compared between low −K+ (LK) and normal −K+ (NK) groups. The phenotypic parameters for the LK group, including fresh and dry weight, were lower than those for the NK group, which suggested that low −K+ stress may inhibit some important metabolic and biosynthetic processes. K+ content and biomass were both decreased in the LK group compared to the NK group. Following ribonucleic acid sequencing (RNA-Seq), a total of 26,796 expressed genes were detected in normal −K+ leaves (NKL), 27,014 were detected in low −K+ leaves (LKL), 29,158 were detected in normal −K+ roots (NKR), and 28,748 were detected in low −K+ roots (LKR). There were 797 up-regulated differentially expressed genes (DEGs) and 386 down-regulated DEGs in NKL versus LKL, while there were 1917 up-regulated DEGs and 2830 down-regulated DEGs in NKR versus LKR. This suggested that the roots were more sensitive to low −K+ stress than the leaves. DEGs related to K+ transport and uptake were analyzed in detail. Gene functional classification showed that the expression of genes regarding ABC transporters, protein kinases, transcription factors, and ion transporters were also detected, and may play important roles during K+ deficiency. View Full-Text
Keywords: banana; differentially expressed genes; K+ transporter; low-potassium stress; transcriptome banana; differentially expressed genes; K+ transporter; low-potassium stress; transcriptome
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Xu, M.; Zeng, C.-B.; He, R.; Yan, Z.; Qi, Z.; Xiong, R.; Cheng, Y.; Wei, S.-S.; Tang, H. Transcriptome Analysis of Banana (Musa acuminate L.) in Response to Low-Potassium Stress. Agronomy 2019, 9, 169.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Agronomy EISSN 2073-4395 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top