Transposons and non-coding regions drive the intrafamily differences of genome size in insects.
Transposons and non-coding regions drive the intrafamily differences of genome size in insects.
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DOI：
10.1016/j.isci.2022.104873
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发表时间：
2022-09-16
期刊：
影响因子：
5.8
通讯作者：
Li, Fei
中科院分区：
文献类型：
--
作者：
Cong, Yuyang;Ye, Xinhai;Mei, Yang;He, Kang;Li, Fei
基因组大小（GS）可以有很大的差异，在近缘物种，但GS的变化在昆虫的景观在很大程度上仍然不清楚。为了更好地了解决定昆虫GS的特定进化因素，我们研究了来自1，326种昆虫的基于流式细胞术的GS数据，跨越700属，155科，21目。模型拟合结果表明，昆虫纲GS总体上遵循Ornstein-Uhlenbeck适应性进化模型。祖先重建表明可能的GS为1，069 Mb，这表明大多数昆虫分支似乎经历了大规模的基因组扩增或收缩。对来自4个昆虫目9个科56种昆虫基因组成分的定量分析表明，转座因子的增殖导致了近缘种间（如鞘翅目）GS的高度变异。本研究揭示了GS在昆虫中的变异模式，并为更好地理解昆虫GS的进化提供了依据。昆虫基因组大小的变化模式是迄今为止最全面的昆虫基因组大小的变化模式，适应性Ornstein-Uhlenbeck模型反映了昆虫的基因组大小进化，估计昆虫基因组大小的祖先状态为1Gb，最近的转座和非编码区驱动了家族内的基因组大小变化。
Genome size (GS) can vary considerably between phylogenetically close species, but the landscape of GS changes in insects remain largely unclear. To better understand the specific evolutionary factors that determine GS in insects, we examined flow cytometry-based published GS data from 1,326 insect species, spanning 700 genera, 155 families, and 21 orders. Model fitting showed that GS generally followed an Ornstein–Uhlenbeck adaptive evolutionary model in Insecta overall. Ancestral reconstruction indicated a likely GS of 1,069 Mb, suggesting that most insect clades appeared to undergo massive genome expansions or contractions. Quantification of genomic components in 56 species from nine families in four insect orders revealed that the proliferation of transposable elements contributed to high variation in GS between close species, such as within Coleoptera. This study sheds lights on the pattern of GS variation in insects and provides a better understanding of insect GS evolution. The most comprehensive variation pattern of insects genome size (GS) to date GS evolution of the Insecta was reflected by the adaptive Ornstein–Uhlenbeck model Ancestral state of insect GS was estimated to be ∼1 Gb Intrafamily GS variations were driven by recent transpositions and non-coding regions Genomics; Phylogenetics; Evolutionary biology
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影响因子：
4.2
作者：
Cavalier-Smith, T
通讯作者：
Cavalier-Smith, T
DOI：
10.1093/bioinformatics/btp348
发表时间：
2009-08-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Capella-Gutiérrez S;Silla-Martínez JM;Gabaldón T
通讯作者：
Gabaldón T
影响因子：
4.5
作者：
Melo ES;Wallau GL
通讯作者：
Wallau GL
影响因子：
4.8
作者：
Cranston, Peter S.;Hardy, Nate B.;Morse, Geoffrey E.
通讯作者：
Morse, Geoffrey E.
影响因子：
64.8
作者：
Biemont, Christian;Vieira, Cristina
通讯作者：
Vieira, Cristina