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

• Published in: International journal of molecular sciences Vol. 21; no. 7; p. 2461
• Main Authors: Yuan, Xiao-Long, Cao, Min, Shen, Guo-Ming, Zhang, Huai-Bao, Du, Yong-Mei, Zhang, Zhong-Feng, Li, Qian, Gao, Jia-Ming, Xue, Lin, Wang, Zhi-Peng, Zhang, Peng
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 02.04.2020; MDPI
• Subjects: Abiotic stress; Ascomycota - classification; Ascomycota - genetics; Ascomycota - isolation & purification; Classification; Curvularia trifolii; Datasets; Endophytes; endophytic fungi of tobacco; Evolution, Molecular; Fungi; Genes; Genome, Fungal; Genome, Mitochondrial; Genomes; Genomics - methods; High-Throughput Nucleotide Sequencing; Metabolites; Mitochondria; mitogenome; Nicotiana - microbiology; nuclear genes; Parasites; Phylogenetics; Phylogeny; Proteins; Sequence Analysis, DNA; Tobacco; Topology; phylogeny; nuclear genes; endophytic fungi of tobacco; mitogenome
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms21072461

The symbiont endophytic fungi in tobacco are highly diverse and difficult to classify. Here, we sequenced the genomes of and isolated from tobacco plants. Finally, 41.68 Mb and 37.95 Mb nuclear genomes were sequenced for and 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 and , 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.