Abstract
Alternative splicing (AS) of precursor mRNA is often regulated by different developmental stages, environments, and genotypes. Little is known about how AS is regulated between different rice cultivars with distinctive response to certain abiotic stress. This study aimed to elucidate the AS patterns in contrasting rice (Oryza sativa L.) cultivars and examine its role during rice adaptation to drought environment. By comparing AS patterns between IRAT109 and ZS97 rice cultivars under drought stress, drought tolerant and susceptible respectively, 8034 shared, 11,086 ZS97-specific, and 12,057 IRAT109-specific AS events were observed where intron retention is the predominant AS pattern. Gene ontology (GO) as well as Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analyses suggested that the spliceosome and DNA repair represented the most significant functional categories among the genes with genotype-specific AS patterns. Other categories include basal transcription factors, environmental information, adaptation related pathways, oxidative phosphorylation, etc. Through integrating the drought-response related quantitative trait locus (QTLs) from 2006 to 2016 manually and mapping spliceosome and DNA repair genes with different AS patterns on chromosomes, we identified 14 out of 31 genes involved in splicesome and 4 out of 14 genes in DNA repair co-localized in drought stress related QTLs. We therefore propose that during long domestication, genes responsive to drought stress evolved specific AS patterns in upland rice, and spliceosome and DNA repair genes play potential roles in rice tolerance to drought stress. Genes with diversity AS patterns and co-localized with drought QTLs will serve as important resources for genetic improvement of rice adaptation to drought stress.
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Acknowledgements
We thank Dr. Shweta Kalve Kulkarni for her critical reading and comments on the manuscript and Professor Hongyu Zhang (College of informatics in Huazhong Agricultural University) for providing computing support. This work was supported financially by the National Natural Science Foundation of China (Grant Nos. 31000116 and 30800680), the Fundamental Research Fund for the Central Universities (Grant No. 2012ZYTS045), the self-determined research fund of Central China Normal University from the colleges’ basic research and operation of MOE (Grant No. CCNU2015A05033) and the National Special Key Project of China on Transgenic Research (Grant No. 2016ZX 08001-003).
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ZZ conceived the study, performed data analysis, and wrote the manuscript. BX designed the project and wrote the manuscript. All authors read and approved the final manuscript.
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Supplemental Figure 1 The overall alternative splicing events in each replicate
. A represents the AS events in each replicate for lowland rice ZhenShan97. A represents the AS events in each replicate for upland rice IRAT109. Supplementary material 1 (EMF 4540 kb)
Supplemental Figure 2 The distribution of log2FPKM for isoforms with various number of reads between Zhenshan97 and for IRAT109.
A shows isoforms with higher amount of reads support in upland IRAT109 than lowland Zhenshan97; B shows isoforms with higher amount of reads support in Zhenshan97 than in IRAT109. X axis represents the log2 (FPKM) of isoforms in Zhenshan97 and Y axis represents the log2 (FPKM) of isoforms in IRAT109. Supplementary material 2 (WMF 8741 kb)
Supplemental Figure 3 Sequencing for AS PCR products of gene LOC_Os05g32600 in Panel D shown in Figure 2
. A shows the sequence amplified in Zhenshan97 leaf under drought stress. B shows the shorter sequence amplified in IRAT109 leaf under drought stress. The part of exon 3,4 and part of exon 2, 5 were amplified and sequenced using primers designed in exon 2, 5 and with the cDNA sequences as template. The black arrows show the primers and exon 2-5 was shown as light yellow, blue, pink and green, respectively. The sequences underlined with red line in A shows the sequence in the 5’ of exon 3 whereas it was spliced out in B, therefore present as an AA event. Supplementary material 3 (EMF 8135 kb)
Supplemental Figure 4 The GO terms in biological process for genes with changing AS patterns between the present rice genotypes.
The darker the box color, the significant level is higher. Supplementary material 4 (EMF 1956 kb)
Supplemental Figure 5 The GO terms in cell compartment for genes with changing AS patterns between the present rice genotypes.
The darker the box color, the significant level is higher. Supplementary material 5 (EMF 3693 kb)
Supplemental Figure 6 The GO terms in molecular function for genes with changing AS patterns between the present rice genotypes.
The darker the box color, the significant level is higher. Supplementary material 6 (EMF 1956 kb)
Supplemental Table 1.
The primers used for AS validation. Supplementary material 7 (DOCX 13 kb)
Supplemental Table 2.
The annotation for genes with changing AS patterns between Zhenshan97 and IRAT109 and involved in the spliceosome pathways including KO terms in KEGG and encoded proteins. Supplementary material 8 (DOCX 14 kb)
Supplemental Table 3.
The annotation for genes with changing AS patterns between Zhenshan97 and IRAT109 and involved in other pathways including KO terms in KEGG and encoded proteins. Supplementary material 9 (DOCX 18 kb)
Supplemental Table 4.
The drought related QTLs collected from references of 2006 to 2016. Supplementary material 10 (XLSX 18 kb)
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Zhang, Z., Xiao, B. Comparative alternative splicing analysis of two contrasting rice cultivars under drought stress and association of differential splicing genes with drought response QTLs. Euphytica 214, 73 (2018). https://doi.org/10.1007/s10681-018-2152-0
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DOI: https://doi.org/10.1007/s10681-018-2152-0