Characterization of Nuclear and Mitochondrial Genomes of Two Tobacco Endophytic Fungi Leptosphaerulina chartarum and Curvularia trifolii and Their Contributions to Phylogenetic Implications in the Pleosporales

Characterization of Nuclear and Mitochondrial Genomes of Two Tobacco Endophytic Fungi Leptosphaerulina chartarum and Curvularia trifolii and Their Contributions to Phylogenetic Implications in the Pleosporales
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两种烟草内生真菌 Leptosphaerulina Chartarum 和 Curvularia trifolii 的核和线粒体基因组特征及其对侧孢菌目系统发育意义的贡献

DOI:
10.3390/ijms21072461
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发表时间:
2020-04-01
影响因子:
5.6
通讯作者:
Zhang,Peng
Zhang,Peng
中科院分区:
生物学2区
文献类型:
--
作者:
Yuan,Xiao-Long;Cao,Min;Zhang,Peng

文献摘要

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烟草共生内生真菌种类繁多,分类困难。在这里,我们对从烟草植物中分离的弯孢菌和马铃薯细球腔菌的基因组进行了测序。最后测定了C. trifolii和L. chartarum与骨架N50的同源性分别为638.94 Kb和284.12 Kb。同时,我们获得了68,926 bp和59,100 bp的线粒体基因组。为了更准确地将C. trifolii和L. chartarum,我们从这两个基因组及其近缘物种中提取了7个核基因和12个线粒体基因。然后,这些基因被用于计算进化速率和进行系统发育分析。结果表明,由于单个基因的进化速率不同,很难得到一致的结果,而通过组合数据集得到的系统发育树具有稳定的拓扑结构。因此,基于多基因数据集构建内生真菌系统发育关系更为准确。本研究为烟草内生真菌的分布和特性提供了新的认识。
The symbiont endophytic fungi in tobacco are highly diverse and difficult to classify. Here, we sequenced the genomes of Curvularia trifolii and Leptosphaerulina chartarum isolated from tobacco plants. Finally, 41.68 Mb and 37.95 Mb nuclear genomes were sequenced for C. trifolii and L. chartarum with the scaffold N50, accounting for 638.94 Kb and 284.12 Kb, respectively. Meanwhile, we obtained 68,926 bp and 59,100 bp for their mitochondrial genomes. To more accurately classify C. trifolii and L. chartarum, we extracted seven nuclear genes and 12 mitochondrial genes from these two genomes and their closely related species. The genes were then used for calculation of evolutionary rates and for phylogenetic analysis. Results showed that it was difficult to achieve consistent results using a single gene due to their different evolutionary rates, while the phylogenetic trees obtained by combining datasets showed stable topologies. It is, therefore, more accurate to construct phylogenetic relationships for endophytic fungi based on multi-gene datasets. This study provides new insights into the distribution and characteristics of endophytic fungi in tobacco.