2021
DOI: 10.3389/fmicb.2021.765733
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The Gene Rearrangement, Loss, Transfer, and Deep Intronic Variation in Mitochondrial Genomes of Conidiobolus

Abstract: The genus Conidiobolus s.s. was newly delimited from Conidiobolus s.l. In order to gain insight into its mitochondrial genetic background, this study sequenced six mitochondrial genomes of the genus Conidiobolus s.s. These mitogenomes were all composed of circular DNA molecules, ranging from 29,253 to 48,417 bp in size and from 26.61 to 27.90% in GC content. The order and direction for 14 core protein-coding genes (PCGs) were identical, except for the atp8 gene lost in Conidiobolus chlamydosporus, Conidiobolus… Show more

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Cited by 5 publications
(2 citation statements)
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“…Phylogenetic reconstruction suggests polyphyletic origins of conidiobolus-like fungi, and not a single origin. The polyphyletic origin of this composite fungal group was already suggested by our previous works [ 7 , 21 , 22 , 23 , 24 ], and one of the tasks of this study was to determine the corresponding taxonomic levels of the main branches. Alternatively, the whole group should be treated as a single family (the Entomophthoraceae), and all genera could be subsumed into it.…”
Section: Discussionmentioning
confidence: 89%
“…Phylogenetic reconstruction suggests polyphyletic origins of conidiobolus-like fungi, and not a single origin. The polyphyletic origin of this composite fungal group was already suggested by our previous works [ 7 , 21 , 22 , 23 , 24 ], and one of the tasks of this study was to determine the corresponding taxonomic levels of the main branches. Alternatively, the whole group should be treated as a single family (the Entomophthoraceae), and all genera could be subsumed into it.…”
Section: Discussionmentioning
confidence: 89%
“…The quality of the assembled genome was evaluated by Quast v. 5.0.2 and BUSCO v. 5.3.2 ( Simão et al 2015 ). The mitochondrial DNA analyses followed the method of previous studies ( Yang et al 2016 , 2021 ; Nie et al 2021 ). In brief, the software NOVOPlasty v. 4.2.1 ( Dierckxsens et al 2017 ) and GetOrganelle v. 1.7.6.1 ( Jin et al 2020 ) were used to assemble the mitogenome with clean data.…”
Section: Materials and Methodsmentioning
confidence: 99%