Li Lei, Wang Xiangfeng, Xia Mian, Stolc Viktor, Su Ning, Peng Zhiyu, Li Songgang, Wang Jun, Wang Xiping, Deng Xing Wang
Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520, USA.
Genome Biol. 2005;6(6):R52. doi: 10.1186/gb-2005-6-6-r52. Epub 2005 May 27.
Sequencing and annotation of the genome of rice (Oryza sativa) have generated gene models in numbers that top all other fully sequenced species, with many lacking recognizable sequence homology to known genes. Experimental evaluation of these gene models and identification of new models will facilitate rice genome annotation and the application of this knowledge to other more complex cereal genomes.
We report here an analysis of the chromosome 10 transcriptome of the two major rice subspecies, japonica and indica, using oligonucleotide tiling microarrays. This analysis detected expression of approximately three-quarters of the gene models without previous experimental evidence in both subspecies. Cloning and sequence analysis of the previously unsupported models suggests that the predicted gene structure of nearly half of those models needs improvement. Coupled with comparative gene model mapping, the tiling microarray analysis identified 549 new models for the japonica chromosome, representing an 18% increase in the annotated protein-coding capacity. Furthermore, an asymmetric distribution of genome elements along the chromosome was found that coincides with the cytological definition of the heterochromatin and euchromatin domains. The heterochromatin domain appears to associate with distinct chromosome level transcriptional activities under normal and stress conditions.
These results demonstrated the utility of genome tiling microarray in evaluating annotated rice gene models and in identifying novel transcriptional units. The tiling microarray sanalysis further revealed a chromosome-wide transcription pattern that suggests a role for transposable element-enriched heterochromatin in shaping global transcription in response to environmental changes in rice.
水稻(Oryza sativa)基因组的测序和注释产生了数量超过其他所有已全序列物种的基因模型,其中许多与已知基因缺乏可识别的序列同源性。对这些基因模型进行实验评估并鉴定新模型将有助于水稻基因组注释,并将这些知识应用于其他更复杂的谷物基因组。
我们在此报告使用寡核苷酸平铺微阵列对两个主要水稻亚种粳稻和籼稻的10号染色体转录组进行的分析。该分析在两个亚种中检测到了约四分之三之前无实验证据的基因模型的表达。对之前未得到支持的模型进行克隆和序列分析表明,其中近一半模型的预测基因结构需要改进。结合比较基因模型定位,平铺微阵列分析为粳稻染色体鉴定出549个新模型,使注释的蛋白质编码能力增加了18%。此外,还发现了基因组元件沿染色体的不对称分布,这与异染色质和常染色质结构域的细胞学定义一致。异染色质结构域在正常和胁迫条件下似乎与不同的染色体水平转录活性相关。
这些结果证明了基因组平铺微阵列在评估注释的水稻基因模型和鉴定新转录单元方面的实用性。平铺微阵列分析进一步揭示了全染色体转录模式,表明富含转座元件的异染色质在塑造水稻响应环境变化的全局转录中发挥作用。