Patterns and drivers of genome-wide codon usage bias in the fungal order Sordariales.

IF 2.9 2区 生物学 Q1 GENETICS & HEREDITY
Noah Hensen, Markus Hiltunen Thorén, Hanna Johannesson
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引用次数: 0

Abstract

We present a study on amino acid composition, codon usage bias (CUB), and levels of selection driving codon usage in Sordariales fungi. We found that GC-ending codons are used more often than AT-ending codons in all Sordariales genomes, but the strength of CUB differs amongst families. The families Podosporaceae and Sordariaceae contain relatively low genome-wide levels of CUB, while the highest levels of CUB are found in Chaetomiaceae and the "BLLNS" group, a monophyletic group of 5 other Sordariales families. Based on genomic clustering, we show that Podosporaceae and Sordariaceae are more similar to each other than either of them are to any of the other groups. Comparatively, the Chaetomiaceae and BLLNS show increased natural selection driving use of specific codons, resulting in higher genome-wide CUB. We hypothesize that the higher levels of CUB in Chaetomiaceae genomes might have been caused by ecological niche specialization, versus the more generalist nature of many Sordariaceae and Podosporaceae species.

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真菌目Sordariales中全基因组密码子使用偏向的模式和驱动因素。
本文研究了Sordariales真菌的氨基酸组成、密码子使用偏差(CUB)和选择驱动密码子使用的水平。结果表明,GC端密码子的使用频率高于AT端密码子,但不同家系间CUB的使用强度不同。Podosporaceae和Sordariaceae在全基因组的CUB水平相对较低,而chetomiaceae和“BLLNS”-类群(一个由其他5个Sordariales科组成的单系类群)的CUB水平最高。基于基因组聚类,我们发现Podosporaceae和Sordariaceae彼此之间的相似性大于它们与任何其他类群之间的相似性。相比之下,毛羽科和BLLNS表现出更多的自然选择驱动特定密码子的使用,导致更高的全基因组CUB。我们假设毛藻科基因组中较高水平的CUB可能是由生态位特化引起的,而不是许多Sordariaceae和Podosporaceae物种的更通用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
DNA Research
DNA Research 生物-遗传学
CiteScore
6.00
自引率
4.90%
发文量
39
审稿时长
4.5 months
期刊介绍: DNA Research is an internationally peer-reviewed journal which aims at publishing papers of highest quality in broad aspects of DNA and genome-related research. Emphasis will be made on the following subjects: 1) Sequencing and characterization of genomes/important genomic regions, 2) Comprehensive analysis of the functions of genes, gene families and genomes, 3) Techniques and equipments useful for structural and functional analysis of genes, gene families and genomes, 4) Computer algorithms and/or their applications relevant to structural and functional analysis of genes and genomes. The journal also welcomes novel findings in other scientific disciplines related to genomes.
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