| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T1 |
0-108 |
Sentence |
denotes |
Characterization of the transcriptional divergence between the subspecies of cultivated rice (Oryza sativa). |
| T2 |
109-120 |
Sentence |
denotes |
BACKGROUND: |
| T3 |
121-270 |
Sentence |
denotes |
Cultivated rice consists of two subspecies, Indica and Japonica, that exhibit well-characterized differences at the morphological and genetic levels. |
| T4 |
271-375 |
Sentence |
denotes |
However, the differences between these subspecies at the transcriptome level remains largely unexamined. |
| T5 |
376-574 |
Sentence |
denotes |
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). |
| T6 |
575-583 |
Sentence |
denotes |
RESULTS: |
| T7 |
584-654 |
Sentence |
denotes |
The transcriptomes of the two subspecies of rice are highly divergent. |
| T8 |
655-829 |
Sentence |
denotes |
Japonica have significantly lower expression and genetic diversity relative to Indica, which is likely a consequence of a population bottleneck during Japonica domestication. |
| T9 |
830-992 |
Sentence |
denotes |
We leveraged high-density genotypic data and transcript levels to identify cis-regulatory variants that may explain the genetic divergence between the subspecies. |
| T10 |
993-1217 |
Sentence |
denotes |
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. |
| T11 |
1218-1230 |
Sentence |
denotes |
CONCLUSIONS: |
| T12 |
1231-1458 |
Sentence |
denotes |
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. |
| T13 |
1459-1664 |
Sentence |
denotes |
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. |
