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酿酒酵母S288C和粟酒裂殖酵母972h中酒精生成相关基因启动子区域及调控元件(基序和CpG岛)的计算机模拟分析

In silico analysis of promoter regions and regulatory elements (motifs and CpG islands) of the genes encoding for alcohol production in Saccharomyces cerevisiaea S288C and Schizosaccharomyces pombe 972h.

作者信息

Aman Beshir Jemal, Kebede Mulugeta

机构信息

Department of Applied Biology, School of Applied Natural Science, Adama Science and Technology University, P.O. Box 1888, Adama, Ethiopia.

Ethiopian Sugar Corporation, Sugar Academy, Wonji, Ethiopia.

出版信息

J Genet Eng Biotechnol. 2021 Jan 11;19(1):8. doi: 10.1186/s43141-020-00097-9.

Abstract

BACKGROUND

The crucial factor in the production of bio-fuels is the choice of potent microorganisms used in fermentation processes. Despite the evolving trend of using bacteria, yeast is still the primary choice for fermentation. Molecular characterization of many genes from baker's yeast (Saccharomyces cerevisiaea), and fission yeast (Schizosaccharomyces pombe), have improved our understanding in gene structure and the regulation of its expression. This in silico study was done with the aim of analyzing the promoter regions, transcription start site (TSS), and CpG islands of genes encoding for alcohol production in S. cerevisiaea S288C and S. pombe 972h-.

RESULTS

The analysis revealed the highest promoter prediction scores (1.0) were obtained in five sequences (AAD4, SFA1, GRE3, YKL071W, and YPR127W) for S. cerevisiaea S288C TSS while the lowest (0.8) were found in three sequences (AAD6, ADH5, and BDH2). Similarly, in S. pombe 972h-, the highest (0.99) and lowest (0.88) prediction scores were obtained in five (Adh1, SPBC8E4.04, SPBC215.11c, SPAP32A8.02, and SPAC19G12.09) and one (erg27) sequences, respectively. Determination of common motifs revealed that S. cerevisiaea S288C had 100% coverage at MSc1 with an E value of 3.7e-007 while S. pombe 972h- had 95.23% at MSp1 with an E value of 2.6e+002. Furthermore, comparison of identified transcription factor proteins indicated that 88.88% of MSp1 were exactly similar to MSc1. It also revealed that only 21.73% in S. cerevisiaea S288C and 28% in S. pombe 972h- of the gene body regions had CpG islands. A combined phylogenetic analysis indicated that all sequences from both S. cerevisiaea S288C and S. pombe 972h- were divided into four subgroups (I, II, III, and IV). The four clades are respectively colored in blue, red, green, and violet.

CONCLUSION

This in silico analysis of gene promoter regions and transcription factors through the actions of regulatory structure such as motifs and CpG islands of genes encoding alcohol production could be used to predict gene expression profiles in yeast species.

摘要

背景

生物燃料生产中的关键因素是发酵过程中所用高效微生物的选择。尽管使用细菌的趋势不断发展,但酵母仍是发酵的主要选择。对面包酵母(酿酒酵母)和裂殖酵母(粟酒裂殖酵母)中许多基因的分子特征分析,增进了我们对基因结构及其表达调控的理解。这项计算机模拟研究旨在分析酿酒酵母S288C和粟酒裂殖酵母972h -中编码酒精生产的基因的启动子区域、转录起始位点(TSS)和CpG岛。

结果

分析显示,酿酒酵母S288C的五个序列(AAD4、SFA1、GRE3、YKL071W和YPR127W)的启动子预测得分最高(1.0),而三个序列(AAD6、ADH5和BDH2)的得分最低(0.8)。同样,在粟酒裂殖酵母972h -中,五个序列(Adh1、SPBC8E4.04、SPBC215.11c、SPAP32A8.02和SPAC19G12.09)和一个序列(erg27)的预测得分分别最高(0.99)和最低(0.88)。共同基序的测定表明,酿酒酵母S288C在MSc1处的覆盖率为100%,E值为3.7e - 007,而粟酒裂殖酵母972h -在MSp1处的覆盖率为95.23%,E值为2.6e + 002。此外,对鉴定出的转录因子蛋白的比较表明,88.88%的MSp1与MSc1完全相似。还发现,酿酒酵母S288C基因体区域中只有21.73%、粟酒裂殖酵母972h -中只有28%具有CpG岛。综合系统发育分析表明,酿酒酵母S288C和粟酒裂殖酵母972h -的所有序列都分为四个亚组(I、II、III和IV)。这四个进化枝分别用蓝色、红色、绿色和紫色表示。

结论

通过对编码酒精生产的基因的基序和CpG岛等调控结构的作用,对基因启动子区域和转录因子进行的这项计算机模拟分析,可用于预测酵母物种中的基因表达谱。

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