首页> 外文期刊>Gene: An International Journal Focusing on Gene Cloning and Gene Structure and Function >Upstream open reading frames and Kozak regions of assembled transcriptome sequences from the spider Cupiennius salei. Selection or chance?
【24h】

Upstream open reading frames and Kozak regions of assembled transcriptome sequences from the spider Cupiennius salei. Selection or chance?

机译:蜘蛛Cupiennius salei组装的转录组序列的上游开放阅读框和Kozak区域。选择还是机会?

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

We assembled a new set of mRNA sequences from the leg hypodermis transcriptome of the wandering spider, Cupiennius salei. Each sequence was assembled to exhaustion in the 5' direction to detect all upstream open reading frames (uORFs) both in-frame and out-of-frame with the main open reading frame (mORF). We also counted nucleotide probabilities before and after the START codon of the mORF to establish the optimum Kozak consensus sequence. More than 80% of 5' sequences had uORFs before the mORF with a range of 1-16 uORFs. Kozak consensus strengths of uORFs were significantly weaker than mORFs. Random scrambling of 5' nucleotide positions did not give significantly different numbers, sizes, or Kozak consensus strengths of uORFs. Random simulations of 5' sequences using either equal or experimental distributions of nucleotides gave similar numbers of uORFs, with similar sizes and Kozak consensus strengths to experimental data. Abundance of mRNA for each gene was estimated by counting matching Illumina reads to assembled genes. Abundance was negatively correlated with numbers of uORFs, but not with 5' length. Our data are compatible with a random model of 5' mRNA sequence structure.
机译:我们从流浪蜘蛛Cupiennius salei的腿下皮转录组中组装了一组新的mRNA序列。将每个序列沿5'方向组装到穷尽状态,以检测所有带有主开放阅读框(mORF)的框内和框外的上游开放阅读框(uORF)。我们还计算了mORF起始密码子之前和之后的核苷酸概率,以建立最佳的Kozak共有序列。超过80%的5'序列在mORF之前具有uORF,范围为1-16 uORF。 uORF的Kozak共识强度显着弱于mORF。 5'核苷酸位置的随机加扰没有给出uORF的数量,大小或Kozak共有强度的显着不同。使用核苷酸的相等或实验分布对5'序列进行的随机模拟给出了相似数量的uORF,具有与实验数据相似的大小和Kozak共有强度。通过计数与组装的基因匹配的Illumina读数,可以估算每个基因的mRNA丰度。丰度与uORF数量呈负相关,但与5'长度无关。我们的数据与5'mRNA序列结构的随机模型兼容。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号