Analysis of differentially expressed genes and adaptive mechanisms of Prunus triloba Lindl. under alkaline stress

Abstract Background Prunus triloba Lindl. is a naturally salt-alkaline-tolerant plant with several unique characteristics, and it can be used as the rootstock of Chinese plum (Prunus salicina Lindl.) in saline-alkaline soils. To comprehensively investigate the alkaline acclimation mechanisms in P. t...

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Main Authors: Jia Liu, Yongqing Wang, Qingtian Li
Format: Article
Language:English
Published: BMC 2017-05-01
Series:Hereditas
Subjects:
Online Access:http://link.springer.com/article/10.1186/s41065-017-0031-7
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spelling doaj-040f8b5042eb4e0883db0470e11ccb2d2020-11-24T21:09:02ZengBMCHereditas1601-52232017-05-01154111610.1186/s41065-017-0031-7Analysis of differentially expressed genes and adaptive mechanisms of Prunus triloba Lindl. under alkaline stressJia Liu0Yongqing Wang1Qingtian Li2College of Horticulture, Sichuan Agricultural UniversityCollege of Horticulture, Sichuan Agricultural UniversityState Key Lab of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of SciencesAbstract Background Prunus triloba Lindl. is a naturally salt-alkaline-tolerant plant with several unique characteristics, and it can be used as the rootstock of Chinese plum (Prunus salicina Lindl.) in saline-alkaline soils. To comprehensively investigate the alkaline acclimation mechanisms in P. triloba, a series of analyses were conducted under alkaline stress, including analyses of the kinetics of molecular and physiological changes, and leaf microstructure. Results To understand the kinetics of molecular changes under short-term alkaline stress, we used Illumina HiSeq 2500 platform to identify alkaline stress-related differentially expressed genes (DEGs) in P. triloba. Approximately 53.0 million high-quality clean reads were generated from 59.6 million raw reads, and a total of 124,786 unigenes were obtained after de novo assembly of P. triloba transcriptome data. After alkaline stress treatment, a total of 8948 unigenes were identified as DEGs. Based on these DEGs, a Gene Ontology (GO) enrichment analysis was conducted, suggesting that 28 genes may play an important role in the early alkaline stress response. In addition, analysis of DEGs with the Kyoto Encyclopedia of Genes and Genomes (KEGG) revealed that pathways were significant at different treatment time points. A significant positive correlation was found between the quantitative real-time PCR (qRT-PCR) results and the RNA-Seq data for seven alkaline-related genes, confirming the reliability of the RNA-Seq results. Based on physiological analysis of P. triloba in response to long-term alkaline stress, we found that the internal microstructures of the leaves of P. triloba changed to adapt to long-term alkaline stress. Various physiological indexes indicated that the degree of membrane injury increased with increasing duration of alkaline stress, affecting photosynthesis in P. triloba seedlings. Conclusions This represents the first investigation into the physiology and transcriptome of P. triloba in response to alkaline stress. The results of this study can enrich the genomic resources available for P. triloba, as well as deepening our understanding of molecular and physiological alkaline tolerance mechanisms in P. triloba. This will also provide new insights into our understanding of alkaline acclimation mechanisms in Chinese plum (Prunus salicina) trees.http://link.springer.com/article/10.1186/s41065-017-0031-7Alkaline stressDifferentially expressed genesPrunus triloba LindlPhysiological analysisRNA sequencing
collection DOAJ
language English
format Article
sources DOAJ
author Jia Liu
Yongqing Wang
Qingtian Li
spellingShingle Jia Liu
Yongqing Wang
Qingtian Li
Analysis of differentially expressed genes and adaptive mechanisms of Prunus triloba Lindl. under alkaline stress
Hereditas
Alkaline stress
Differentially expressed genes
Prunus triloba Lindl
Physiological analysis
RNA sequencing
author_facet Jia Liu
Yongqing Wang
Qingtian Li
author_sort Jia Liu
title Analysis of differentially expressed genes and adaptive mechanisms of Prunus triloba Lindl. under alkaline stress
title_short Analysis of differentially expressed genes and adaptive mechanisms of Prunus triloba Lindl. under alkaline stress
title_full Analysis of differentially expressed genes and adaptive mechanisms of Prunus triloba Lindl. under alkaline stress
title_fullStr Analysis of differentially expressed genes and adaptive mechanisms of Prunus triloba Lindl. under alkaline stress
title_full_unstemmed Analysis of differentially expressed genes and adaptive mechanisms of Prunus triloba Lindl. under alkaline stress
title_sort analysis of differentially expressed genes and adaptive mechanisms of prunus triloba lindl. under alkaline stress
publisher BMC
series Hereditas
issn 1601-5223
publishDate 2017-05-01
description Abstract Background Prunus triloba Lindl. is a naturally salt-alkaline-tolerant plant with several unique characteristics, and it can be used as the rootstock of Chinese plum (Prunus salicina Lindl.) in saline-alkaline soils. To comprehensively investigate the alkaline acclimation mechanisms in P. triloba, a series of analyses were conducted under alkaline stress, including analyses of the kinetics of molecular and physiological changes, and leaf microstructure. Results To understand the kinetics of molecular changes under short-term alkaline stress, we used Illumina HiSeq 2500 platform to identify alkaline stress-related differentially expressed genes (DEGs) in P. triloba. Approximately 53.0 million high-quality clean reads were generated from 59.6 million raw reads, and a total of 124,786 unigenes were obtained after de novo assembly of P. triloba transcriptome data. After alkaline stress treatment, a total of 8948 unigenes were identified as DEGs. Based on these DEGs, a Gene Ontology (GO) enrichment analysis was conducted, suggesting that 28 genes may play an important role in the early alkaline stress response. In addition, analysis of DEGs with the Kyoto Encyclopedia of Genes and Genomes (KEGG) revealed that pathways were significant at different treatment time points. A significant positive correlation was found between the quantitative real-time PCR (qRT-PCR) results and the RNA-Seq data for seven alkaline-related genes, confirming the reliability of the RNA-Seq results. Based on physiological analysis of P. triloba in response to long-term alkaline stress, we found that the internal microstructures of the leaves of P. triloba changed to adapt to long-term alkaline stress. Various physiological indexes indicated that the degree of membrane injury increased with increasing duration of alkaline stress, affecting photosynthesis in P. triloba seedlings. Conclusions This represents the first investigation into the physiology and transcriptome of P. triloba in response to alkaline stress. The results of this study can enrich the genomic resources available for P. triloba, as well as deepening our understanding of molecular and physiological alkaline tolerance mechanisms in P. triloba. This will also provide new insights into our understanding of alkaline acclimation mechanisms in Chinese plum (Prunus salicina) trees.
topic Alkaline stress
Differentially expressed genes
Prunus triloba Lindl
Physiological analysis
RNA sequencing
url http://link.springer.com/article/10.1186/s41065-017-0031-7
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AT qingtianli analysisofdifferentiallyexpressedgenesandadaptivemechanismsofprunustrilobalindlunderalkalinestress
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