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(v3.0.1.9059) Update taxonomy of microorganisms

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Matthijs Berends
2026-06-23 01:38:13 +02:00
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commit 3f9f931777
123 changed files with 121928 additions and 94162 deletions
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@@ -47,7 +47,7 @@ This excludes \emph{Staphylococcus aureus} at default, use \code{Becker = "all"}
This excludes enterococci at default (who are in group D), use \code{Lancefield = "all"} to also categorise all enterococci as group D.}
\item{minimum_matching_score}{A numeric value to set as the lower limit for the \link[=mo_matching_score]{MO matching score}. When left blank, this will be determined automatically based on the character length of \code{x}, its \link[=microorganisms]{taxonomic kingdom} and \link[=mo_matching_score]{human pathogenicity}.}
\item{minimum_matching_score}{A numeric value to set as the lower limit for the \link[=mo_matching_score]{MO matching score}. When left blank, this will be determined automatically based on the character length of \code{x}, its \link[=microorganisms]{taxonomic domain} and \link[=mo_matching_score]{human pathogenicity}.}
\item{keep_synonyms}{A \link{logical} to indicate if outdated, previously valid taxonomic names must be preserved and not be corrected to currently accepted names. Do note that the term "synonym" is in this case jargon from the field of microbial taxonomy - it is not in place to denote that e.g. "Streptococcus Group A" is a synonym of \emph{S. pyogenes}. Though this is practically the case, taxonomically it is not as "Streptococcus Group A" is not even a valid taxonomic name.
@@ -59,7 +59,7 @@ The default is \code{FALSE}, which will return a note if outdated taxonomic name
\item{cleaning_regex}{A Perl-compatible \link[base:regex]{regular expression} (case-insensitive) to clean the input of \code{x}. Every matched part in \code{x} will be removed. At default, this is the outcome of \code{\link[=mo_cleaning_regex]{mo_cleaning_regex()}}, which removes texts between brackets and texts such as "species" and "serovar". The default can be set with the package option \code{\link[=AMR-options]{AMR_cleaning_regex}}.}
\item{only_fungi}{A \link{logical} to indicate if only fungi must be found, making sure that e.g. misspellings always return records from the kingdom of Fungi. This can be set globally for \link[=mo_property]{all microorganism functions} with the package option \code{\link[=AMR-options]{AMR_only_fungi}}, i.e. \code{options(AMR_only_fungi = TRUE)}.}
\item{only_fungi}{A \link{logical} to indicate if only fungi must be found, making sure that e.g. misspellings always return records from the domain of Fungi. This can be set globally for \link[=mo_property]{all microorganism functions} with the package option \code{\link[=AMR-options]{AMR_only_fungi}}, i.e. \code{options(AMR_only_fungi = TRUE)}.}
\item{language}{Language to translate text like "no growth", which defaults to the system language (see \code{\link[=get_AMR_locale]{get_AMR_locale()}}).}
@@ -71,7 +71,7 @@ The default is \code{FALSE}, which will return a note if outdated taxonomic name
A \link{character} \link{vector} with additional class \code{\link{mo}}
}
\description{
Use this function to get a valid microorganism code (\code{\link{mo}}) based on arbitrary user input. Determination is done using intelligent rules and the complete taxonomic tree of the kingdoms Animalia, Archaea, Bacteria, Chromista, and Protozoa, and most microbial species from the kingdom Fungi (see \emph{Source}). The input can be almost anything: a full name (like \code{"Staphylococcus aureus"}), an abbreviated name (such as \code{"S. aureus"}), an abbreviation known in the field (such as \code{"MRSA"}), or just a genus. See \emph{Examples}.
Use this function to get a valid microorganism code (\code{\link{mo}}) based on arbitrary user input. Determination is done using intelligent rules and the complete taxonomic tree of the domains Animalia, Archaea, Bacteria, Chromista, Plantae, and Protozoa, and most microbial species from the domain Fungi (see \emph{Source}). The input can be almost anything: a full name (like \code{"Staphylococcus aureus"}), an abbreviated name (such as \code{"S. aureus"}), an abbreviation known in the field (such as \code{"MRSA"}), or just a genus. See \emph{Examples}.
}
\details{
A microorganism (MO) code from this package (class: \code{\link{mo}}) is human-readable and typically looks like these examples:
@@ -86,7 +86,7 @@ A microorganism (MO) code from this package (class: \code{\link{mo}}) is human-r
| | | \\---> subspecies, a 3-5 letter acronym
| | \\----> species, a 3-6 letter acronym
| \\----> genus, a 4-8 letter acronym
\\----> kingdom: A (Archaea), AN (Animalia), B (Bacteria),
\\----> domain: A (Archaea), AN (Animalia), B (Bacteria),
C (Chromista), F (Fungi), PL (Plantae),
P (Protozoa)
}\if{html}{\out{</div>}}
@@ -98,7 +98,7 @@ Use the \code{\link[=mo_property]{mo_*}} functions to get properties based on th
The \code{\link[=as.mo]{as.mo()}} function uses a novel and scientifically validated (\doi{10.18637/jss.v104.i03}) matching score algorithm (see \emph{Matching Score for Microorganisms} below) to match input against the \link[=microorganisms]{available microbial taxonomy} in this package. This implicates that e.g. \code{"E. coli"} (a microorganism highly prevalent in humans) will return the microbial ID of \emph{Escherichia coli} and not \emph{Entamoeba coli} (a microorganism less prevalent in humans), although the latter would alphabetically come first.
\subsection{Coping with Uncertain Results}{
Results of non-exact taxonomic input are based on their \link[=mo_matching_score]{matching score}. The lowest allowed score can be set with the \code{minimum_matching_score} argument. At default this will be determined based on the character length of the input, the \link[=microorganisms]{taxonomic kingdom}, and the \link[=mo_matching_score]{human pathogenicity} of the taxonomic outcome. If values are matched with uncertainty, a message will be shown to suggest the user to inspect the results with \code{\link[=mo_uncertainties]{mo_uncertainties()}}, which returns a \link{data.frame} with all specifications.
Results of non-exact taxonomic input are based on their \link[=mo_matching_score]{matching score}. The lowest allowed score can be set with the \code{minimum_matching_score} argument. At default this will be determined based on the character length of the input, the \link[=microorganisms]{taxonomic domain}, and the \link[=mo_matching_score]{human pathogenicity} of the taxonomic outcome. If values are matched with uncertainty, a message will be shown to suggest the user to inspect the results with \code{\link[=mo_uncertainties]{mo_uncertainties()}}, which returns a \link{data.frame} with all specifications.
To increase the quality of matching, the \code{cleaning_regex} argument is used to clean the input. This must be a \link[base:regex]{regular expression} that matches parts of the input that should be removed before the input is matched against the \link[=microorganisms]{available microbial taxonomy}. It will be matched Perl-compatible and case-insensitive. The default value of \code{cleaning_regex} is the outcome of the helper function \code{\link[=mo_cleaning_regex]{mo_cleaning_regex()}}.
@@ -124,8 +124,8 @@ This will make sure that no bacteria or other 'non-fungi' will be returned by \c
With \code{Becker = TRUE}, the following staphylococci will be converted to their corresponding coagulase group:
\itemize{
\item Coagulase-negative: \emph{S. americanisciuri}, \emph{S. argensis}, \emph{S. arlettae}, \emph{S. auricularis}, \emph{S. borealis}, \emph{S. brunensis}, \emph{S. caeli}, \emph{S. caledonicus}, \emph{S. canis}, \emph{S. capitis}, \emph{S. capitis capitis}, \emph{S. capitis urealyticus}, \emph{S. capitis ureolyticus}, \emph{S. caprae}, \emph{S. carnosus}, \emph{S. carnosus carnosus}, \emph{S. carnosus utilis}, \emph{S. casei}, \emph{S. caseolyticus}, \emph{S. chromogenes}, \emph{S. cohnii}, \emph{S. cohnii cohnii}, \emph{S. cohnii urealyticum}, \emph{S. cohnii urealyticus}, \emph{S. condimenti}, \emph{S. croceilyticus}, \emph{S. debuckii}, \emph{S. devriesei}, \emph{S. durrellii}, \emph{S. edaphicus}, \emph{S. epidermidis}, \emph{S. equorum}, \emph{S. equorum equorum}, \emph{S. equorum linens}, \emph{S. felis}, \emph{S. fleurettii}, \emph{S. gallinarum}, \emph{S. haemolyticus}, \emph{S. hominis}, \emph{S. hominis hominis}, \emph{S. hominis novobiosepticus}, \emph{S. jettensis}, \emph{S. kloosii}, \emph{S. lentus}, \emph{S. lloydii}, \emph{S. lugdunensis}, \emph{S. marylandisciuri}, \emph{S. massiliensis}, \emph{S. microti}, \emph{S. muscae}, \emph{S. nepalensis}, \emph{S. pasteuri}, \emph{S. petrasii}, \emph{S. petrasii croceilyticus}, \emph{S. petrasii jettensis}, \emph{S. petrasii petrasii}, \emph{S. petrasii pragensis}, \emph{S. pettenkoferi}, \emph{S. piscifermentans}, \emph{S. pragensis}, \emph{S. pseudoxylosus}, \emph{S. pulvereri}, \emph{S. ratti}, \emph{S. rostri}, \emph{S. saccharolyticus}, \emph{S. saprophyticus}, \emph{S. saprophyticus bovis}, \emph{S. saprophyticus saprophyticus}, \emph{S. schleiferi}, \emph{S. schleiferi schleiferi}, \emph{S. sciuri}, \emph{S. sciuri carnaticus}, \emph{S. sciuri lentus}, \emph{S. sciuri rodentium}, \emph{S. sciuri sciuri}, \emph{S. shinii}, \emph{S. simulans}, \emph{S. stepanovicii}, \emph{S. succinus}, \emph{S. succinus casei}, \emph{S. succinus succinus}, \emph{S. taiwanensis}, \emph{S. urealyticus}, \emph{S. ureilyticus}, \emph{S. veratri}, \emph{S. vitulinus}, \emph{S. vitulus}, \emph{S. warneri}, and \emph{S. xylosus}
\item Coagulase-positive: \emph{S. agnetis}, \emph{S. argenteus}, \emph{S. coagulans}, \emph{S. cornubiensis}, \emph{S. delphini}, \emph{S. hyicus}, \emph{S. hyicus chromogenes}, \emph{S. hyicus hyicus}, \emph{S. intermedius}, \emph{S. lutrae}, \emph{S. pseudintermedius}, \emph{S. roterodami}, \emph{S. schleiferi coagulans}, \emph{S. schweitzeri}, \emph{S. simiae}, and \emph{S. singaporensis}
\item Coagulase-negative: \emph{S. americanisciuri}, \emph{S. argensis}, \emph{S. arlettae}, \emph{S. auricularis}, \emph{S. borealis}, \emph{S. brunensis}, \emph{S. caeli}, \emph{S. caledonicus}, \emph{S. canis}, \emph{S. capitis}, \emph{S. capitis capitis}, \emph{S. capitis urealyticus}, \emph{S. capitis ureolyticus}, \emph{S. caprae}, \emph{S. carnosus}, \emph{S. carnosus carnosus}, \emph{S. carnosus utilis}, \emph{S. casei}, \emph{S. caseolyticus}, \emph{S. caseorum}, \emph{S. chromogenes}, \emph{S. cohnii}, \emph{S. cohnii cohnii}, \emph{S. cohnii urealyticum}, \emph{S. cohnii urealyticus}, \emph{S. cohnii ureilyticus}, \emph{S. condimenti}, \emph{S. croceilyticus}, \emph{S. debuckii}, \emph{S. devriesei}, \emph{S. durrellii}, \emph{S. edaphicus}, \emph{S. epidermidis}, \emph{S. equorum}, \emph{S. equorum equorum}, \emph{S. equorum linens}, \emph{S. felis}, \emph{S. fleurettii}, \emph{S. gallinarum}, \emph{S. haemolyticus}, \emph{S. halotolerans}, \emph{S. hominis}, \emph{S. hominis hominis}, \emph{S. hominis novobiosepticus}, \emph{S. hsinchuensis}, \emph{S. jettensis}, \emph{S. kloosii}, \emph{S. lentus}, \emph{S. lloydii}, \emph{S. lugdunensis}, \emph{S. marylandisciuri}, \emph{S. massiliensis}, \emph{S. microti}, \emph{S. muscae}, \emph{S. nepalensis}, \emph{S. pasteuri}, \emph{S. petrasii}, \emph{S. petrasii croceilyticus}, \emph{S. petrasii jettensis}, \emph{S. petrasii petrasii}, \emph{S. petrasii pragensis}, \emph{S. pettenkoferi}, \emph{S. piscifermentans}, \emph{S. pragensis}, \emph{S. pseudoxylosus}, \emph{S. pulvereri}, \emph{S. ratti}, \emph{S. rostri}, \emph{S. saccharolyticus}, \emph{S. saprophyticus}, \emph{S. saprophyticus bovis}, \emph{S. saprophyticus saprophyticus}, \emph{S. schleiferi}, \emph{S. schleiferi schleiferi}, \emph{S. sciuri}, \emph{S. sciuri carnaticus}, \emph{S. sciuri lentus}, \emph{S. sciuri rodentium}, \emph{S. sciuri sciuri}, \emph{S. shinii}, \emph{S. simulans}, \emph{S. stepanovicii}, \emph{S. succinus}, \emph{S. succinus casei}, \emph{S. succinus succinus}, \emph{S. taiwanensis}, \emph{S. urealyticus}, \emph{S. ureilyticus}, \emph{S. veratri}, \emph{S. vitulinus}, \emph{S. vitulus}, \emph{S. warneri}, and \emph{S. xylosus}
\item Coagulase-positive: \emph{S. agnetis}, \emph{S. argenteus}, \emph{S. coagulans}, \emph{S. cornubiensis}, \emph{S. delphini}, \emph{S. hyicus}, \emph{S. hyicus chromogenes}, \emph{S. hyicus hyicus}, \emph{S. intermedius}, \emph{S. lutrae}, \emph{S. pseudintermedius}, \emph{S. roterodami}, \emph{S. schleiferi coagulans}, \emph{S. schweitzeri}, \emph{S. simiae}, \emph{S. singaporensis}, and \emph{S. ursi}
}
This is based on:
@@ -164,10 +164,10 @@ This is based on:
\itemize{
\item Berends MS \emph{et al.} (2022). \strong{AMR: An R Package for Working with Antimicrobial Resistance Data}. \emph{Journal of Statistical Software}, 104(3), 1-31; \doi{10.18637/jss.v104.i03}
\item Parte, AC \emph{et al.} (2020). \strong{List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ.} International Journal of Systematic and Evolutionary Microbiology, 70, 5607-5612; \doi{10.1099/ijsem.0.004332}. Accessed from \url{https://lpsn.dsmz.de} on June 24th, 2024.
\item Vincent, R \emph{et al} (2013). \strong{MycoBank gearing up for new horizons.} IMA Fungus, 4(2), 371-9; \doi{10.5598/imafungus.2013.04.02.16}. Accessed from \url{https://www.mycobank.org} on June 24th, 2024.
\item GBIF Secretariat (2023). GBIF Backbone Taxonomy. Checklist dataset \doi{10.15468/39omei}. Accessed from \url{https://www.gbif.org} on June 24th, 2024.
\item Reimer, LC \emph{et al.} (2022). \strong{\emph{BacDive} in 2022: the knowledge base for standardized bacterial and archaeal data.} Nucleic Acids Res., 50(D1):D741-D74; \doi{10.1093/nar/gkab961}. Accessed from \url{https://bacdive.dsmz.de} on July 16th, 2024.
\item Freese, HM \emph{et al.} (2026). \strong{TYGS and LPSN in 2025: a Global Core Biodata Resource for genome-based classification and nomenclature of prokaryotes within DSMZ Digital Diversity.} Nucleic Acids Research, 54, D884–D891; \doi{10.1093/nar/gkaf1110}. Accessed from \url{https://lpsn.dsmz.de} on 7th of May, 2026.
\item Vincent, R \emph{et al} (2013). \strong{MycoBank gearing up for new horizons.} IMA Fungus, 4(2), 371-9; \doi{10.5598/imafungus.2013.04.02.16}. Accessed from \url{https://www.mycobank.org} on 7th of May, 2026.
\item Banki, O. \emph{et al.} (2026). Catalogue of Life (2026-04-18 XR). Catalogue of Life Foundation, Amsterdam, Netherlands. \doi{10.48580/dgxjw}. Accessed from \url{https://www.gbif.org} on 7th of May, 2026.
\item Reimer, LC \emph{et al.} (2022). \strong{\emph{BacDive} in 2022: the knowledge base for standardized bacterial and archaeal data.} Nucleic Acids Res., 50(D1):D741-D74; \doi{10.1093/nar/gkab961}. Accessed from \url{https://bacdive.dsmz.de} on 7th of May, 2026.
\item Public Health Information Network Vocabulary Access and Distribution System (PHIN VADS). US Edition of SNOMED CT from 1 September 2020. Value Set Name 'Microorganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: \url{https://www.cdc.gov/phin/php/phinvads/}
\item Bartlett A \emph{et al.} (2022). \strong{A comprehensive list of bacterial pathogens infecting humans} \emph{Microbiology} 168:001269; \doi{10.1099/mic.0.001269}
}
@@ -186,7 +186,7 @@ where:
\item \eqn{l_n} is the length of \eqn{n};
\item \eqn{lev} is the \href{https://en.wikipedia.org/wiki/Levenshtein_distance}{Levenshtein distance function} (counting any insertion as 1, and any deletion or substitution as 2) that is needed to change \eqn{x} into \eqn{n};
\item \eqn{p_n} is the human pathogenic prevalence group of \eqn{n}, as described below;
\item \eqn{k_n} is the taxonomic kingdom of \eqn{n}, set as Bacteria = 1, Fungi = 1.25, Protozoa = 1.5, Chromista = 1.75, Archaea = 2, others = 3.
\item \eqn{k_n} is the taxonomic domain ('kingdom' until taxonomic reclassification of 2024) of \eqn{n}, set as Bacteria = 1, Fungi = 1.25, Protozoa = 1.5, Chromista = 1.75, Archaea = 2, others = 3.
}
The grouping into human pathogenic prevalence \eqn{p} is based on recent work from Bartlett \emph{et al.} (2022, \doi{10.1099/mic.0.001269}) who extensively studied medical-scientific literature to categorise all bacterial species into these groups:
@@ -201,7 +201,7 @@ Furthermore,
\item Any genus present in the \strong{established} list also has \code{prevalence = 1.15} in the \link{microorganisms} data set;
\item Any other genus present in the \strong{putative} list has \code{prevalence = 1.25} in the \link{microorganisms} data set;
\item Any other species or subspecies of which the genus is present in the two aforementioned groups, has \code{prevalence = 1.5} in the \link{microorganisms} data set;
\item Any \emph{non-bacterial} genus, species or subspecies of which the genus is present in the following list, has \code{prevalence = 1.25} in the \link{microorganisms} data set: \emph{Absidia}, \emph{Acanthamoeba}, \emph{Acremonium}, \emph{Actinomucor}, \emph{Aedes}, \emph{Alternaria}, \emph{Amoeba}, \emph{Ancylostoma}, \emph{Angiostrongylus}, \emph{Anisakis}, \emph{Anopheles}, \emph{Apophysomyces}, \emph{Arthroderma}, \emph{Aspergillus}, \emph{Aureobasidium}, \emph{Basidiobolus}, \emph{Beauveria}, \emph{Bipolaris}, \emph{Blastobotrys}, \emph{Blastocystis}, \emph{Blastomyces}, \emph{Candida}, \emph{Capillaria}, \emph{Chaetomium}, \emph{Chilomastix}, \emph{Chrysonilia}, \emph{Chrysosporium}, \emph{Cladophialophora}, \emph{Cladosporium}, \emph{Clavispora}, \emph{Coccidioides}, \emph{Cokeromyces}, \emph{Conidiobolus}, \emph{Coniochaeta}, \emph{Contracaecum}, \emph{Cordylobia}, \emph{Cryptococcus}, \emph{Cryptosporidium}, \emph{Cunninghamella}, \emph{Curvularia}, \emph{Cyberlindnera}, \emph{Debaryozyma}, \emph{Demodex}, \emph{Dermatobia}, \emph{Dientamoeba}, \emph{Diphyllobothrium}, \emph{Dirofilaria}, \emph{Echinostoma}, \emph{Entamoeba}, \emph{Enterobius}, \emph{Epidermophyton}, \emph{Exidia}, \emph{Exophiala}, \emph{Exserohilum}, \emph{Fasciola}, \emph{Fonsecaea}, \emph{Fusarium}, \emph{Geotrichum}, \emph{Giardia}, \emph{Graphium}, \emph{Haloarcula}, \emph{Halobacterium}, \emph{Halococcus}, \emph{Hansenula}, \emph{Hendersonula}, \emph{Heterophyes}, \emph{Histomonas}, \emph{Histoplasma}, \emph{Hortaea}, \emph{Hymenolepis}, \emph{Hypomyces}, \emph{Hysterothylacium}, \emph{Kloeckera}, \emph{Kluyveromyces}, \emph{Kodamaea}, \emph{Lacazia}, \emph{Leishmania}, \emph{Lichtheimia}, \emph{Lodderomyces}, \emph{Lomentospora}, \emph{Madurella}, \emph{Malassezia}, \emph{Malbranchea}, \emph{Metagonimus}, \emph{Meyerozyma}, \emph{Microsporidium}, \emph{Microsporum}, \emph{Millerozyma}, \emph{Mortierella}, \emph{Mucor}, \emph{Mycocentrospora}, \emph{Nannizzia}, \emph{Necator}, \emph{Nectria}, \emph{Ochroconis}, \emph{Oesophagostomum}, \emph{Oidiodendron}, \emph{Opisthorchis}, \emph{Paecilomyces}, \emph{Paracoccidioides}, \emph{Pediculus}, \emph{Penicillium}, \emph{Phaeoacremonium}, \emph{Phaeomoniella}, \emph{Phialophora}, \emph{Phlebotomus}, \emph{Phoma}, \emph{Pichia}, \emph{Piedraia}, \emph{Pithomyces}, \emph{Pityrosporum}, \emph{Pneumocystis}, \emph{Pseudallescheria}, \emph{Pseudoscopulariopsis}, \emph{Pseudoterranova}, \emph{Pulex}, \emph{Purpureocillium}, \emph{Quambalaria}, \emph{Rhinocladiella}, \emph{Rhizomucor}, \emph{Rhizopus}, \emph{Rhodotorula}, \emph{Saccharomyces}, \emph{Saksenaea}, \emph{Saprochaete}, \emph{Sarcoptes}, \emph{Scedosporium}, \emph{Schistosoma}, \emph{Schizosaccharomyces}, \emph{Scolecobasidium}, \emph{Scopulariopsis}, \emph{Scytalidium}, \emph{Spirometra}, \emph{Sporobolomyces}, \emph{Sporopachydermia}, \emph{Sporothrix}, \emph{Sporotrichum}, \emph{Stachybotrys}, \emph{Strongyloides}, \emph{Syncephalastrum}, \emph{Syngamus}, \emph{Taenia}, \emph{Talaromyces}, \emph{Teleomorph}, \emph{Toxocara}, \emph{Trichinella}, \emph{Trichobilharzia}, \emph{Trichoderma}, \emph{Trichomonas}, \emph{Trichophyton}, \emph{Trichosporon}, \emph{Trichostrongylus}, \emph{Trichuris}, \emph{Tritirachium}, \emph{Trombicula}, \emph{Trypanosoma}, \emph{Tunga}, \emph{Ulocladium}, \emph{Ustilago}, \emph{Verticillium}, \emph{Wallemia}, \emph{Wangiella}, \emph{Wickerhamomyces}, \emph{Wuchereria}, \emph{Yarrowia}, or \emph{Zygosaccharomyces};
\item Any \emph{non-bacterial} genus, species or subspecies of which the genus is present in the following list, has \code{prevalence = 1.25} in the \link{microorganisms} data set: \emph{Absidia}, \emph{Acanthamoeba}, \emph{Acremonium}, \emph{Actinomucor}, \emph{Aedes}, \emph{Alternaria}, \emph{Amoeba}, \emph{Ancylostoma}, \emph{Angiostrongylus}, \emph{Anisakis}, \emph{Anopheles}, \emph{Apophysomyces}, \emph{Arthroderma}, \emph{Aspergillus}, \emph{Aureobasidium}, \emph{Basidiobolus}, \emph{Beauveria}, \emph{Bipolaris}, \emph{Blastobotrys}, \emph{Blastocystis}, \emph{Blastomyces}, \emph{Candida}, \emph{Capillaria}, \emph{Chaetomium}, \emph{Chilomastix}, \emph{Chrysonilia}, \emph{Chrysosporium}, \emph{Cladophialophora}, \emph{Cladosporium}, \emph{Clavispora}, \emph{Coccidioides}, \emph{Cokeromyces}, \emph{Conidiobolus}, \emph{Coniochaeta}, \emph{Contracaecum}, \emph{Cordylobia}, \emph{Cryptococcus}, \emph{Cryptosporidium}, \emph{Cunninghamella}, \emph{Curvularia}, \emph{Cyberlindnera}, \emph{Debaryozyma}, \emph{Demodex}, \emph{Dermatobia}, \emph{Dientamoeba}, \emph{Diphyllobothrium}, \emph{Dirofilaria}, \emph{Echinostoma}, \emph{Entamoeba}, \emph{Enterobius}, \emph{Epidermophyton}, \emph{Exidia}, \emph{Exophiala}, \emph{Exserohilum}, \emph{Fasciola}, \emph{Fonsecaea}, \emph{Fusarium}, \emph{Geotrichum}, \emph{Giardia}, \emph{Graphium}, \emph{Haloarcula}, \emph{Halobacterium}, \emph{Halococcus}, \emph{Hansenula}, \emph{Hendersonula}, \emph{Heterophyes}, \emph{Histomonas}, \emph{Histoplasma}, \emph{Hortaea}, \emph{Hymenolepis}, \emph{Hypomyces}, \emph{Hysterothylacium}, \emph{Kloeckera}, \emph{Kluyveromyces}, \emph{Kodamaea}, \emph{Lacazia}, \emph{Leishmania}, \emph{Lichtheimia}, \emph{Lodderomyces}, \emph{Lomentospora}, \emph{Madurella}, \emph{Malassezia}, \emph{Malbranchea}, \emph{Metagonimus}, \emph{Meyerozyma}, \emph{Microascus}, \emph{Microsporidium}, \emph{Microsporum}, \emph{Millerozyma}, \emph{Mortierella}, \emph{Mucor}, \emph{Mycocentrospora}, \emph{Nannizzia}, \emph{Necator}, \emph{Nectria}, \emph{Ochroconis}, \emph{Oesophagostomum}, \emph{Oidiodendron}, \emph{Opisthorchis}, \emph{Paecilomyces}, \emph{Paracoccidioides}, \emph{Pediculus}, \emph{Penicillium}, \emph{Phaeoacremonium}, \emph{Phaeomoniella}, \emph{Phialophora}, \emph{Phlebotomus}, \emph{Phoma}, \emph{Pichia}, \emph{Piedraia}, \emph{Pithomyces}, \emph{Pityrosporum}, \emph{Plasmodium}, \emph{Pneumocystis}, \emph{Pseudallescheria}, \emph{Pseudoscopulariopsis}, \emph{Pseudoterranova}, \emph{Pulex}, \emph{Purpureocillium}, \emph{Quambalaria}, \emph{Rhinocladiella}, \emph{Rhizomucor}, \emph{Rhizopus}, \emph{Rhodotorula}, \emph{Saccharomyces}, \emph{Saksenaea}, \emph{Saprochaete}, \emph{Sarcoptes}, \emph{Scedosporium}, \emph{Schistosoma}, \emph{Schizophyllum}, \emph{Schizosaccharomyces}, \emph{Scolecobasidium}, \emph{Scopulariopsis}, \emph{Scytalidium}, \emph{Spirometra}, \emph{Sporobolomyces}, \emph{Sporopachydermia}, \emph{Sporothrix}, \emph{Sporotrichum}, \emph{Stachybotrys}, \emph{Strongyloides}, \emph{Syncephalastrum}, \emph{Syngamus}, \emph{Taenia}, \emph{Talaromyces}, \emph{Teleomorph}, \emph{Toxocara}, \emph{Trichinella}, \emph{Trichobilharzia}, \emph{Trichoderma}, \emph{Trichomonas}, \emph{Trichophyton}, \emph{Trichosporon}, \emph{Trichostrongylus}, \emph{Trichuris}, \emph{Tritirachium}, \emph{Trombicula}, \emph{Trypanosoma}, \emph{Tunga}, \emph{Ulocladium}, \emph{Ustilago}, \emph{Verticillium}, \emph{Wallemia}, \emph{Wangiella}, \emph{Wickerhamomyces}, \emph{Wuchereria}, \emph{Yarrowia}, or \emph{Zygosaccharomyces};
\item All other records have \code{prevalence = 2.0} in the \link{microorganisms} data set.
}