Use these functions to return a specific property of a microorganism. All input values will be evaluated internally with as.mo()
, which makes it possible to use microbial abbreviations, codes and names as input. Please see Examples.
mo_name(x, language = get_locale(), ...) mo_fullname(x, language = get_locale(), ...) mo_shortname(x, language = get_locale(), ...) mo_subspecies(x, language = get_locale(), ...) mo_species(x, language = get_locale(), ...) mo_genus(x, language = get_locale(), ...) mo_family(x, language = get_locale(), ...) mo_order(x, language = get_locale(), ...) mo_class(x, language = get_locale(), ...) mo_phylum(x, language = get_locale(), ...) mo_kingdom(x, language = get_locale(), ...) mo_type(x, language = get_locale(), ...) mo_gramstain(x, language = get_locale(), ...) mo_snomed(x, ...) mo_ref(x, ...) mo_authors(x, ...) mo_year(x, ...) mo_rank(x, ...) mo_taxonomy(x, language = get_locale(), ...) mo_synonyms(x, ...) mo_info(x, language = get_locale(), ...) mo_url(x, open = FALSE, ...) mo_property(x, property = "fullname", language = get_locale(), ...)
x | any (vector of) text that can be coerced to a valid microorganism code with |
---|---|
language | language of the returned text, defaults to system language (see |
... | other parameters passed on to |
open | browse the URL using |
property | one of the column names of the microorganisms data set or |
An integer
in case of mo_year()
A list
in case of mo_taxonomy()
and mo_info()
A named character
in case of mo_url()
A double
in case of mo_snomed()
A character
in all other cases
All functions will return the most recently known taxonomic property according to the Catalogue of Life, except for mo_ref()
, mo_authors()
and mo_year()
. This leads to the following results:
mo_name("Chlamydia psittaci")
will return "Chlamydophila psittaci"
(with a warning about the renaming)
mo_ref("Chlamydia psittaci")
will return "Page, 1968"
(with a warning about the renaming)
mo_ref("Chlamydophila psittaci")
will return "Everett et al., 1999"
(without a warning)
The Gram stain - mo_gramstain()
- will be determined on the taxonomic kingdom and phylum. According to Cavalier-Smith (2002) who defined subkingdoms Negibacteria and Posibacteria, only these phyla are Posibacteria: Actinobacteria, Chloroflexi, Firmicutes and Tenericutes. These bacteria are considered Gram-positive - all other bacteria are considered Gram-negative. Species outside the kingdom of Bacteria will return a value NA
.
All output will be translated where possible.
The function mo_url()
will return the direct URL to the online database entry, which also shows the scientific reference of the concerned species.
This package contains the complete taxonomic tree of almost all microorganisms (~70,000 species) from the authoritative and comprehensive Catalogue of Life (http://www.catalogueoflife.org). The Catalogue of Life is the most comprehensive and authoritative global index of species currently available.
Click here for more information about the included taxa. Check which version of the Catalogue of Life was included in this package with catalogue_of_life_version()
.
Becker K et al. Coagulase-Negative Staphylococci. 2014. Clin Microbiol Rev. 27(4): 870–926. https://dx.doi.org/10.1128/CMR.00109-13
Becker K et al. Implications of identifying the recently defined members of the S. aureus complex, S. argenteus and S. schweitzeri: A position paper of members of the ESCMID Study Group for staphylococci and Staphylococcal Diseases (ESGS). 2019. Clin Microbiol Infect. https://doi.org/10.1016/j.cmi.2019.02.028
Lancefield RC A serological differentiation of human and other groups of hemolytic streptococci. 1933. J Exp Med. 57(4): 571–95. https://dx.doi.org/10.1084/jem.57.4.571
Catalogue of Life: Annual Checklist (public online taxonomic database), http://www.catalogueoflife.org (check included annual version with catalogue_of_life_version()
).
On our website https://msberends.gitlab.io/AMR you can find a comprehensive tutorial about how to conduct AMR analysis, the complete documentation of all functions (which reads a lot easier than here in R) and an example analysis using WHONET data.
# taxonomic tree ----------------------------------------------------------- mo_kingdom("E. coli") # "Bacteria" mo_phylum("E. coli") # "Proteobacteria" mo_class("E. coli") # "Gammaproteobacteria" mo_order("E. coli") # "Enterobacterales" mo_family("E. coli") # "Enterobacteriaceae" mo_genus("E. coli") # "Escherichia" mo_species("E. coli") # "coli" mo_subspecies("E. coli") # "" # colloquial properties ---------------------------------------------------- mo_name("E. coli") # "Escherichia coli" mo_fullname("E. coli") # "Escherichia coli" - same as mo_name() mo_shortname("E. coli") # "E. coli" # other properties --------------------------------------------------------- mo_gramstain("E. coli") # "Gram-negative" mo_snomed("E. coli") # 112283007, 116395006, ... (SNOMED codes) mo_type("E. coli") # "Bacteria" (equal to kingdom, but may be translated) mo_rank("E. coli") # "species" mo_url("E. coli") # get the direct url to the online database entry mo_synonyms("E. coli") # get previously accepted taxonomic names # scientific reference ----------------------------------------------------- mo_ref("E. coli") # "Castellani et al., 1919" mo_authors("E. coli") # "Castellani et al." mo_year("E. coli") # 1919 # abbreviations known in the field ----------------------------------------- mo_genus("MRSA") # "Staphylococcus" mo_species("MRSA") # "aureus" mo_shortname("VISA") # "S. aureus" mo_gramstain("VISA") # "Gram-positive" mo_genus("EHEC") # "Escherichia" mo_species("EHEC") # "coli" # known subspecies --------------------------------------------------------- mo_name("doylei") # "Campylobacter jejuni doylei" mo_genus("doylei") # "Campylobacter" mo_species("doylei") # "jejuni" mo_subspecies("doylei") # "doylei" mo_fullname("K. pneu rh") # "Klebsiella pneumoniae rhinoscleromatis" mo_shortname("K. pneu rh") # "K. pneumoniae" # \donttest{ # Becker classification, see ?as.mo ---------------------------------------- mo_fullname("S. epi") # "Staphylococcus epidermidis" mo_fullname("S. epi", Becker = TRUE) # "Coagulase-negative Staphylococcus (CoNS)" mo_shortname("S. epi") # "S. epidermidis" mo_shortname("S. epi", Becker = TRUE) # "CoNS" # Lancefield classification, see ?as.mo ------------------------------------ mo_fullname("S. pyo") # "Streptococcus pyogenes" mo_fullname("S. pyo", Lancefield = TRUE) # "Streptococcus group A" mo_shortname("S. pyo") # "S. pyogenes" mo_shortname("S. pyo", Lancefield = TRUE) # "GAS" (='Group A Streptococci') # language support for German, Dutch, Spanish, Portuguese, Italian and French mo_gramstain("E. coli", language = "de") # "Gramnegativ" mo_gramstain("E. coli", language = "nl") # "Gram-negatief" mo_gramstain("E. coli", language = "es") # "Gram negativo" # mo_type is equal to mo_kingdom, but mo_kingdom will remain official mo_kingdom("E. coli") # "Bacteria" on a German system mo_type("E. coli") # "Bakterien" on a German system mo_type("E. coli") # "Bacteria" on an English system mo_fullname("S. pyogenes", Lancefield = TRUE, language = "de") # "Streptococcus Gruppe A" mo_fullname("S. pyogenes", Lancefield = TRUE, language = "nl") # "Streptococcus groep A" # get a list with the complete taxonomy (from kingdom to subspecies) mo_taxonomy("E. coli") # get a list with the taxonomy, the authors, Gram-stain and URL to the online database mo_info("E. coli") # }