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Population transcriptomics reveals a potentially positive role of expression diversity in adaptation

摘要While it is widely accepted that genetic diversity determines the potential of adaptation, the role that gene expression variation plays in adaptation remains poorly known. Here we show that gene expression diversity could have played a positive role in the adaptation of Miscanthus lutarioriparius. RNA‐seq was conducted for 80 individuals of the species, with half planted in the energy crop domestication site and the other half planted in the control site near native habitats. A leaf reference transcriptome consisting of 18,503 high‐quality tran-scripts was obtained using a pipeline developed for de novo assembling with population RNA‐seq data. The population structure and genetic diversity of M. lutarioriparius were estimated based on 30,609 genic single nucleotide polymor-phisms. Population expression (Ep) and expression diversity (Ed) were defined to measure the average level and the magnitude of variation of a gene expression in the population, respectively. It was found that expression diversity increased while genetic diversity decreased after the species was transplanted from the native habitats to the harsh domestication site, especial y for genes involved in abiotic stress resistance, histone methylation, and biomass synthesis under water limitation. The increased expression diversity could have enriched phenotypic variation directly subject to selections in the new environment.

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作者单位 State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, the Chinese Academy of Sciences, Beijing 100093, China [1] Key Laboratory of Plant Resources and Beijing Botanical Garden, Institute of Botany, the Chinese Academy of Sciences, Beijing 100093, China [2] Key Laboratory of Plant Germplasm Enhancement and Speciality Agriculture, Wuhan Botanical Garden, the Chinese Academy of Sciences, Wuhan 430074, China [3]
DOI 10.1111/jipb.12287
发布时间 2015-03-25
基金项目
We thank the Beijing Center for Physical and Chemical Analysis for generating the sequencing data, the Beijing Computing Center for assisting with computational infrastructure for data analysis. The work was supported by grants from the Key Program of the National Natural Science Foundation of China the Knowledge Innovation Program of the Chinese Academy of Sciences
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植物学报(英文版)

植物学报(英文版)

2015年3期

284-299页

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