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Comparative Transcriptome Profiling of Two Tomato Genotypes in Response to Potassium-Deficiency Stress
Tomato is a crop that requires a sufficient supply of potassium (K) for optimal productivity and quality. K(+)-deficiency stress decreases tomato yield and quality. To further delve into the mechanism of the response to K(+)-deficiency and to screen out low-K(+) tolerant genes in tomatoes, BGISEQ-50...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121555/ https://www.ncbi.nlm.nih.gov/pubmed/30110976 http://dx.doi.org/10.3390/ijms19082402 |
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author | Zhao, Xiaoming Liu, Yang Liu, Xin Jiang, Jing |
author_facet | Zhao, Xiaoming Liu, Yang Liu, Xin Jiang, Jing |
author_sort | Zhao, Xiaoming |
collection | PubMed |
description | Tomato is a crop that requires a sufficient supply of potassium (K) for optimal productivity and quality. K(+)-deficiency stress decreases tomato yield and quality. To further delve into the mechanism of the response to K(+)-deficiency and to screen out low-K(+) tolerant genes in tomatoes, BGISEQ-500-based RNA sequencing was performed using two tomato genotypes (low-K(+) tolerant JZ34 and low-K(+) sensitive JZ18). We identified 1936 differentially expressed genes (DEGs) in JZ18 and JZ34 at 12 and 24 h after K(+)-deficiency treatment. According to the Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analyses, the DEGs that changed significantly primarily included transcription factors, transporters, kinases, oxidative stress proteins, and hormone signaling-and glycometabolism-related genes. The experimental results confirmed the induced expression of the responsive genes in the low-K(+) signaling pathway. The largest group of DEGs comprised up to 110 oxidative stress-related genes. In total, 19 ethylene response factors (ERFs) demonstrated differential expression between JZ18 and JZ34 in response to K(+)-deficiency. Furthermore, we confirmed 20 DEGs closely related to K(+)-deficiency stress by quantitative RT-PCR (qRT-PCR), some of which affected the root configuration, these DEGs could be further studied for use as molecular targets to explore novel approaches, and to acquire more effective K acquisition efficiencies for tomatoes. A hypothesis involving possible cross-talk between phytohormone signaling cues and reactive oxygen species (ROS) leading to root growth in JZ34 is proposed. The results provide a comprehensive foundation for the molecular mechanisms involved in the response of tomatoes to low K(+) stress. |
format | Online Article Text |
id | pubmed-6121555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61215552018-09-07 Comparative Transcriptome Profiling of Two Tomato Genotypes in Response to Potassium-Deficiency Stress Zhao, Xiaoming Liu, Yang Liu, Xin Jiang, Jing Int J Mol Sci Article Tomato is a crop that requires a sufficient supply of potassium (K) for optimal productivity and quality. K(+)-deficiency stress decreases tomato yield and quality. To further delve into the mechanism of the response to K(+)-deficiency and to screen out low-K(+) tolerant genes in tomatoes, BGISEQ-500-based RNA sequencing was performed using two tomato genotypes (low-K(+) tolerant JZ34 and low-K(+) sensitive JZ18). We identified 1936 differentially expressed genes (DEGs) in JZ18 and JZ34 at 12 and 24 h after K(+)-deficiency treatment. According to the Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analyses, the DEGs that changed significantly primarily included transcription factors, transporters, kinases, oxidative stress proteins, and hormone signaling-and glycometabolism-related genes. The experimental results confirmed the induced expression of the responsive genes in the low-K(+) signaling pathway. The largest group of DEGs comprised up to 110 oxidative stress-related genes. In total, 19 ethylene response factors (ERFs) demonstrated differential expression between JZ18 and JZ34 in response to K(+)-deficiency. Furthermore, we confirmed 20 DEGs closely related to K(+)-deficiency stress by quantitative RT-PCR (qRT-PCR), some of which affected the root configuration, these DEGs could be further studied for use as molecular targets to explore novel approaches, and to acquire more effective K acquisition efficiencies for tomatoes. A hypothesis involving possible cross-talk between phytohormone signaling cues and reactive oxygen species (ROS) leading to root growth in JZ34 is proposed. The results provide a comprehensive foundation for the molecular mechanisms involved in the response of tomatoes to low K(+) stress. MDPI 2018-08-14 /pmc/articles/PMC6121555/ /pubmed/30110976 http://dx.doi.org/10.3390/ijms19082402 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhao, Xiaoming Liu, Yang Liu, Xin Jiang, Jing Comparative Transcriptome Profiling of Two Tomato Genotypes in Response to Potassium-Deficiency Stress |
title | Comparative Transcriptome Profiling of Two Tomato Genotypes in Response to Potassium-Deficiency Stress |
title_full | Comparative Transcriptome Profiling of Two Tomato Genotypes in Response to Potassium-Deficiency Stress |
title_fullStr | Comparative Transcriptome Profiling of Two Tomato Genotypes in Response to Potassium-Deficiency Stress |
title_full_unstemmed | Comparative Transcriptome Profiling of Two Tomato Genotypes in Response to Potassium-Deficiency Stress |
title_short | Comparative Transcriptome Profiling of Two Tomato Genotypes in Response to Potassium-Deficiency Stress |
title_sort | comparative transcriptome profiling of two tomato genotypes in response to potassium-deficiency stress |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121555/ https://www.ncbi.nlm.nih.gov/pubmed/30110976 http://dx.doi.org/10.3390/ijms19082402 |
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