Abstract
Natural selection drives species adaptations to biotic and abiotic stresses. Species distributed along a moisture gradient, such as Stipa purpurea, a dominant grass in alpine arid and semi-arid meadows on the Tibetan Plateau, provide an opportunity to evaluate the effects of long-term adaptation to differing degrees of drought stress on gene expression. However, the genetic basis of this divergence remains largely unknown. Next-generation sequencing technologies have provided important genome-wide insights on the evolution of organisms for which genomic information is lacking. To understand how S. purpurea responds to drought stress, we selected five populations distributed along the degressive rainfall line on the northwestern Tibetan Plateau that currently present evolutionary acclimation to localized drought pressure at the physiological and biochemical levels and compared their transcriptome responses. In addition, we performed de novo assembly of the S. purpurea transcriptome using short read sequencing technology and successfully assembled 84,298 unigenes from approximately 51 million sequencing reads. We quantified gene expression level to compare their transcriptome responses using mRNA-Seq and identified differentially expressed transcripts that are involved in primary and secondary plant metabolism, plant hormone synthesis, defense responses, and cell wall synthesis. Furthermore, physiological and biochemical evidence supports that abscisic acid (ABA) accumulation and cell wall strengthening derived from the differential transcripts contribute to the tolerance of S. purpurea to drought stress. The mechanisms by which S. purpurea adapts to drought stress provide new insight into how plants ecologically adapt and evolve.
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This work was financially supported by the National Natural Science Foundation of China (NSFC) (No. 41271058), the Major State Basic Research Development Program of China (No. 2010CB951704).
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Fig. S1
Search of unigenes against the nr database. (A) E-value distribution of BLAST hits for each unique sequence with a cut-off E-value of 1.0E-5. (B) Species distribution is shown as a percentage of the total homologous sequences with an E-value of at least 1.0E-5. (GIF 80 kb)
Fig. S2
COG functional classifications of unigene sequences from the S. purpurea transcriptome data. (GIF 92 kb)
Fig. S3
Classification of RNA-seq raw reads. (GIF 45 kb)
Figure S4
Distribution of gene coverage in the five S. purpurea populations. Gene coverage was the percentage of a gene covered by reads (the number of bases covered by unique mapping reads/the total number of bases in that gene). (GIF 101 kb)
Table S1
Primers used for the semi-quantitative PCR analysis. (PDF 28 kb)
Table S2
Principal components analysis of the contribution of differential climate factors in the field experiments. (PDF 55 kb)
Table S3
Length distribution of assembled contigs and unigenes. (PDF 7 kb)
Table S4
Summary of the unigene BLAST results. (PDF 37 kb)
Table S5
Functional annotation of unigene in S. purpurea. (XLS 28354 kb)
Table S6
Top 30 up- and down-regulated genes in S. purpurea. (PDF 31 kb)
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Yang, Y., Li, X., Kong, X. et al. Transcriptome analysis reveals diversified adaptation of Stipa purpurea along a drought gradient on the Tibetan Plateau. Funct Integr Genomics 15, 295–307 (2015). https://doi.org/10.1007/s10142-014-0419-7
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DOI: https://doi.org/10.1007/s10142-014-0419-7