TY - JOUR
T1 - Characterization of the transcriptional divergence between the subspecies of cultivated rice (Oryza sativa)
AU - Campbell, Malachy T.
AU - Campbell, Malachy T.
AU - Du, Qian
AU - Liu, Kan
AU - Sharma, Sandeep
AU - Sharma, Sandeep
AU - Zhang, Chi
AU - Walia, Harkamal
N1 - Publisher Copyright:
© 2020 The Author(s).
PY - 2020/6/8
Y1 - 2020/6/8
N2 - Background: Cultivated rice consists of two subspecies, Indica and Japonica, that exhibit well-characterized differences at the morphological and genetic levels. However, the differences between these subspecies at the transcriptome level remains largely unexamined. Here, we provide a comprehensive characterization of transcriptome divergence and cis-regulatory variation within rice using transcriptome data from 91 accessions from a rice diversity panel (RDP1). Results: The transcriptomes of the two subspecies of rice are highly divergent. Japonica have significantly lower expression and genetic diversity relative to Indica, which is likely a consequence of a population bottleneck during Japonica domestication. We leveraged high-density genotypic data and transcript levels to identify cis-regulatory variants that may explain the genetic divergence between the subspecies. We identified significantly more eQTL that were specific to the Indica subspecies compared to Japonica, suggesting that the observed differences in expression and genetic variability also extends to cis-regulatory variation. Conclusions: Using RNA sequencing data for 91diverse rice accessions and high-density genotypic data, we show that the two species are highly divergent with respect to gene expression levels, as well as the genetic regulation of expression. The data generated by this study provide, to date, the largest collection of genome-wide transcriptional levels for rice, and provides a community resource to accelerate functional genomic studies in rice.
AB - Background: Cultivated rice consists of two subspecies, Indica and Japonica, that exhibit well-characterized differences at the morphological and genetic levels. However, the differences between these subspecies at the transcriptome level remains largely unexamined. Here, we provide a comprehensive characterization of transcriptome divergence and cis-regulatory variation within rice using transcriptome data from 91 accessions from a rice diversity panel (RDP1). Results: The transcriptomes of the two subspecies of rice are highly divergent. Japonica have significantly lower expression and genetic diversity relative to Indica, which is likely a consequence of a population bottleneck during Japonica domestication. We leveraged high-density genotypic data and transcript levels to identify cis-regulatory variants that may explain the genetic divergence between the subspecies. We identified significantly more eQTL that were specific to the Indica subspecies compared to Japonica, suggesting that the observed differences in expression and genetic variability also extends to cis-regulatory variation. Conclusions: Using RNA sequencing data for 91diverse rice accessions and high-density genotypic data, we show that the two species are highly divergent with respect to gene expression levels, as well as the genetic regulation of expression. The data generated by this study provide, to date, the largest collection of genome-wide transcriptional levels for rice, and provides a community resource to accelerate functional genomic studies in rice.
KW - Expression quantitative trait loci
KW - Gene expression
KW - Natural variation
KW - Oryza sativa
KW - Population genetics
KW - RNA sequencing
KW - Regulatory variation
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U2 - 10.1186/s12864-020-06786-6
DO - 10.1186/s12864-020-06786-6
M3 - Article
C2 - 32513103
AN - SCOPUS:85086298078
SN - 1471-2164
VL - 21
JO - BMC genomics
JF - BMC genomics
IS - 1
M1 - 394
ER -