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- Metasolibacillus is a genus of Gram-Positive rod-shaped bacteria in the family Caryophanaceae from the order Caryophanales. The type species of this genus is Metasolibacillus meyeri. Members of Metasolibacillus are previously species belonging to Lysinibacillus and Bacillus. Instead of branching with species from their respective genus, these four species formed a monophyletic branch in various phylogenetic trees constructed based on conserved genome sequences, indicating their phylogenetic relatedness. The family Caryophanaceae encompassed many branching anomalies such as this one, partially due to the reliance on 16S rRNA sequences as a method for classification, which is known to have low resolution power and give differing results depending on the algorithm used. In 2020, a comparative genomic study emended the family, resulting in the establishment of three new genera, including Metasolibacillus. The name Metasolibacillus is derived from the Greek adjective meta, translating into "besides" and the Latin term Solibacillus, referring the genus name. Together, Metasolibacillus can be translated as a genus besides Solibacillus. (en)
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- 4509 (xsd:nonNegativeInteger)
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- Metasolibacillus (Gupta and Patel 2020) (en)
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- *"M. fluoroglycofeniltyicus"
*"M. louembei"
*M. meyeri
*"M. ndiopicus"
(based on LPSN 2021) (en)
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- Metasolibacillus is a genus of Gram-Positive rod-shaped bacteria in the family Caryophanaceae from the order Caryophanales. The type species of this genus is Metasolibacillus meyeri. Members of Metasolibacillus are previously species belonging to Lysinibacillus and Bacillus. Instead of branching with species from their respective genus, these four species formed a monophyletic branch in various phylogenetic trees constructed based on conserved genome sequences, indicating their phylogenetic relatedness. The family Caryophanaceae encompassed many branching anomalies such as this one, partially due to the reliance on 16S rRNA sequences as a method for classification, which is known to have low resolution power and give differing results depending on the algorithm used. In 2020, a comparative (en)
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