Abstract

BackgroundSalinity, as one of the main abiotic stresses, critically threatens growth and fertility of main food crops including rice in the world. To get insight into the molecular mechanisms by which tolerant genotypes responds to the salinity stress, we propose an integrative meta-analysis approach to find the key genes involved in salinity tolerance. Herein, a genome-wide meta-analysis, using microarray and RNA-seq data was conducted which resulted in the identification of differentially expressed genes (DEGs) under salinity stress at tolerant rice genotypes. DEGs were then confirmed by meta-QTL analysis and literature review.ResultsA total of 3449 DEGs were detected in 46 meta-QTL positions, among which 1286, 86, 1729 and 348 DEGs were observed in root, shoot, seedling, and leaves tissues, respectively. Moreover, functional annotation of DEGs located in the meta-QTLs suggested some involved biological processes (e.g., ion transport, regulation of transcription, cell wall organization and modification as well as response to stress) and molecular function terms (e.g., transporter activity, transcription factor activity and oxidoreductase activity). Remarkably, 23 potential candidate genes were detected in Saltol and hotspot-regions overlying original QTLs for both yield components and ion homeostasis traits; among which, there were many unreported salinity-responsive genes. Some promising candidate genes were detected such as pectinesterase, peroxidase, transcription regulator, high-affinity potassium transporter, cell wall organization, protein serine/threonine phosphatase, and CBS domain cotaining protein.ConclusionsThe obtained results indicated that, the salt tolerant genotypes use qualified mechanisms particularly in sensing and signalling of the salt stress, regulation of transcription, ionic homeostasis, and Reactive Oxygen Species (ROS) scavenging in response to the salt stress.

Highlights

  • Salinity, as one of the main abiotic stresses, critically threatens growth and fertility of main food crops including rice in the world

  • Salinity tolerance associated Meta-Quantitative trait locus (QTL) in rice A total of 265 QTLs related to 32 traits were collected in this study using the Simple Sequence Repeats (SSR) markers (Table S1, S2) among which, 126 and 139 QTLs were selected for further analysis in normal and salinity conditions (Table S3)

  • It is intersting to note that, 81 genes were identified on Chr1: M-QTL2 which were located in Saltol region

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Summary

Introduction

As one of the main abiotic stresses, critically threatens growth and fertility of main food crops including rice in the world. A genome-wide meta-analysis, using microarray and RNA-seq data was conducted which resulted in the identification of differentially expressed genes (DEGs) under salinity stress at tolerant rice genotypes. Many QTLs have been found but there is still limited knowledge regarding the salinity tolerance-related gene networks in rice Technologies such as microarray and gene expression profiling based on sequencing approaches accelerate the progress toward a comprehensive understanding of the genetic mechanisms related to responses to environmental stresses [19, 20]. Several studies have identified the accurate meta-QTLs of with various traits for mining the candidate genes in rice and other crop plants [26,27,28,29,30]. Findings of this study provide valuable information on the genes and pathways involved in salinity tolerance in rice

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