Korarchaeum cryptofilum

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Introduction

Candidatus Korarchaeum cryptofilum is a species of the proposed phylum Korarchaeota, or Xenarchaeota of the Archaea. The phylum is notoriously difficult to study given the environment in which it lives.[1] The Archean phylum is found mainly in hydrothermal environments such as hot springs, shallow water, and deep ocean. The organism's genome has mainly been studied to open understanding of Archaean evolution due to its distant detachment on the Archaea phyla.
Korarchaeum cryptofilum is a heterotroph, mostly living through anaerobic metabolism Select a topic about genetics or evolution in a specific organism or ecosystem. Select a topic about genetics or evolution in a specific organism or ecosystem.

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Ca. K. cryptofilum. Notice rod shape of the Archaea. https://sites.google.com/site/chskorarchaeota1


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Genetics and Structure


Korarchaeum cryptofilum is a heterotroph, mostly living through anaerobic metabolism of peptide and amino acids. The organism uses enzymes such as Peptidase, transaminases, and ATPase. [2] The genome of Ca. K. cryptofilum is 1,590,757 base pairs long with an average G+C content of 49%. The arCOG of the archaean phyla crenarchaeota and euryarchaeota when compared with the sequenced genome of Ca. K. cryptofilum, showed that the organism shares its replication, recombination, repair, and cell division genes with that of crenarchaeota while it shares most of its transcription and translation genes with euryarcahaeota. [3]
Ca. K. cryptofilum has three rRNA genes (16S, 23S, and 5S rRNA). The organism has shown to produce 33 23S r-proteins and 27 16S r-proteins on its rRNA operon. The species is also found to have 45 tRNA genes on its genome with one initiator and 45 elongator tRNAs.[4][5]



Information from Korarchaeum cryptofilum's genome reveals it is a




Microbiome

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The population of the Korachaeota is generally minute in its microbiome living in the biome. However in some cases they constitute 7% of all Archaea.[6]

Conclusion

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References


Edited by [Charlie Stutz], student of Joan Slonczewski for BIOL 116 Information in Living Systems, 2019, Kenyon College. Miller-Coleman, Robin L et al. “Korarchaeota diversity, biogeography, and abundance in Yellowstone and Great Basin hot springs and ecological niche modeling based on machine learning.” PloS one vol. 7,5 (2012): e35964. doi:10.1371/journal.pone.0035964