diff --git a/.github/workflows/check-old.yaml b/.github/workflows/check-old.yaml
index b4293492..77b7e59c 100644
--- a/.github/workflows/check-old.yaml
+++ b/.github/workflows/check-old.yaml
@@ -47,7 +47,7 @@ jobs:
       matrix:
         config:
           # Test all old versions of R >= 3.0, we support them all!
-          # For these old versions, dependencies will not be installed and checked.
+          # For these old versions, dependencies and vignettes will not be checked.
           # For recent R versions, see check-recent.yaml (r-lib and tidyverse support the latest 5 major R versions).
           - {os: ubuntu-22.04, r: '3.4', allowfail: false, rspm: "https://packagemanager.rstudio.com/cran/__linux__/jammy/latest"}
           - {os: ubuntu-22.04, r: '3.3', allowfail: false, rspm: "https://packagemanager.rstudio.com/cran/__linux__/jammy/latest"}
@@ -82,8 +82,8 @@ jobs:
           as.data.frame(utils::installed.packages())[, "Version", drop = FALSE]
         shell: Rscript {0}
 
-      - name: Remove vignettes on R without knitr support
-        if: matrix.config.r == '3.0' || matrix.config.r == '3.1' || matrix.config.r == '3.2' || matrix.config.r == '3.3'
+      - name: Remove vignettes
+        if: always() # matrix.config.r == '3.0' || matrix.config.r == '3.1' || matrix.config.r == '3.2' || matrix.config.r == '3.3'
         # writing to DESCRIPTION2 and then moving to DESCRIPTION is required for R <= 3.3 as writeLines() cannot overwrite
         run: |
           rm -rf vignettes
@@ -101,7 +101,7 @@ jobs:
           _R_CHECK_LENGTH_1_CONDITION_: verbose
           _R_CHECK_LENGTH_1_LOGIC2_: verbose
           # no check for old R versions - these packages require higher R versions
-          _R_CHECK_RD_XREFS_: ${{ matrix.config.r != '3.0' && matrix.config.r != '3.1' && matrix.config.r != '3.2' && matrix.config.r != '3.3' && matrix.config.r != '3.4' }}
+          _R_CHECK_RD_XREFS_: false
           _R_CHECK_FORCE_SUGGESTS_: false
           R_CHECK_CONSTANTS: 5
           R_JIT_STRATEGY: 3
diff --git a/.github/workflows/check-recent.yaml b/.github/workflows/check-recent.yaml
index 48d6c23e..4775ad33 100644
--- a/.github/workflows/check-recent.yaml
+++ b/.github/workflows/check-recent.yaml
@@ -99,6 +99,5 @@ jobs:
       - name: Show tinytest output
         if: always()
         run: |
-          ls -lh
           find . -name 'tinytest.Rout*' -exec cat '{}' \; || true
         shell: bash
diff --git a/DESCRIPTION b/DESCRIPTION
index baf24f44..adbb10cd 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,5 +1,5 @@
 Package: AMR
-Version: 1.8.2.9083
+Version: 1.8.2.9084
 Date: 2023-01-06
 Title: Antimicrobial Resistance Data Analysis
 Description: Functions to simplify and standardise antimicrobial resistance (AMR)
diff --git a/NAMESPACE b/NAMESPACE
index 2dbd4df3..77232b4f 100755
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -313,6 +313,7 @@ export(mo_lpsn)
 export(mo_matching_score)
 export(mo_name)
 export(mo_order)
+export(mo_pathogenicity)
 export(mo_phylum)
 export(mo_property)
 export(mo_rank)
diff --git a/NEWS.md b/NEWS.md
index 37191378..63d53705 100755
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# AMR 1.8.2.9083
+# AMR 1.8.2.9084
 
 *(this beta version will eventually become v2.0! We're happy to reach a new major milestone soon!)*
 
diff --git a/R/mo_property.R b/R/mo_property.R
index 09148905..192490fa 100755
--- a/R/mo_property.R
+++ b/R/mo_property.R
@@ -45,17 +45,19 @@
 #'
 #' Since the top-level of the taxonomy is sometimes referred to as 'kingdom' and sometimes as 'domain', the functions [mo_kingdom()] and [mo_domain()] return the exact same results.
 #'
-#' Determination of the Gram stain - [mo_gramstain()] - will be based on the taxonomic kingdom and phylum. Originally, Cavalier-Smith defined the so-called subkingdoms Negibacteria and Posibacteria (2002, [PMID 11837318](https://pubmed.ncbi.nlm.nih.gov/11837318/)), and only considered these phyla as Posibacteria: Actinobacteria, Chloroflexi, Firmicutes, and Tenericutes. These phyla were renamed to Actinomycetota, Chloroflexota, Bacillota, and Mycoplasmatota (2021, [PMID 34694987](https://pubmed.ncbi.nlm.nih.gov/34694987/)). Bacteria in these phyla are considered Gram-positive in this `AMR` package, except for members of the class Negativicutes (within phylum Bacillota) which are Gram-negative. All other bacteria are considered Gram-negative. Species outside the kingdom of Bacteria will return a value `NA`. Functions [mo_is_gram_negative()] and [mo_is_gram_positive()] always return `TRUE` or `FALSE` (or `NA` when the input is `NA` or the MO code is `UNKNOWN`), thus always return `FALSE` for species outside the taxonomic kingdom of Bacteria.
+#' Determination of human pathogenicity ([mo_pathogenicity()]) is strongly based on Bartlett *et al.* (2022, \doi{10.1099/mic.0.001269}). This function returns a [factor] with the levels *Pathogenic*, *Potentially pathogenic*, *Non-pathogenic*, and *Unknown*.
 #'
-#' Determination of yeasts - [mo_is_yeast()] - will be based on the taxonomic kingdom and class. *Budding yeasts* are fungi of the phylum Ascomycota, class Saccharomycetes (also called Hemiascomycetes). *True yeasts* are aggregated into the underlying order Saccharomycetales. Thus, for all microorganisms that are member of the taxonomic class Saccharomycetes, the function will return `TRUE`. It returns `FALSE` otherwise (or `NA` when the input is `NA` or the MO code is `UNKNOWN`).
+#' Determination of the Gram stain ([mo_gramstain()]) will be based on the taxonomic kingdom and phylum. Originally, Cavalier-Smith defined the so-called subkingdoms Negibacteria and Posibacteria (2002, [PMID 11837318](https://pubmed.ncbi.nlm.nih.gov/11837318/)), and only considered these phyla as Posibacteria: Actinobacteria, Chloroflexi, Firmicutes, and Tenericutes. These phyla were renamed to Actinomycetota, Chloroflexota, Bacillota, and Mycoplasmatota (2021, [PMID 34694987](https://pubmed.ncbi.nlm.nih.gov/34694987/)). Bacteria in these phyla are considered Gram-positive in this `AMR` package, except for members of the class Negativicutes (within phylum Bacillota) which are Gram-negative. All other bacteria are considered Gram-negative. Species outside the kingdom of Bacteria will return a value `NA`. Functions [mo_is_gram_negative()] and [mo_is_gram_positive()] always return `TRUE` or `FALSE` (or `NA` when the input is `NA` or the MO code is `UNKNOWN`), thus always return `FALSE` for species outside the taxonomic kingdom of Bacteria.
 #'
-#' Determination of intrinsic resistance - [mo_is_intrinsic_resistant()] - will be based on the [intrinsic_resistant] data set, which is based on `r format_eucast_version_nr(3.3)`. The [mo_is_intrinsic_resistant()] function can be vectorised over both argument `x` (input for microorganisms) and `ab` (input for antibiotics).
+#' Determination of yeasts ([mo_is_yeast()]) will be based on the taxonomic kingdom and class. *Budding yeasts* are fungi of the phylum Ascomycota, class Saccharomycetes (also called Hemiascomycetes). *True yeasts* are aggregated into the underlying order Saccharomycetales. Thus, for all microorganisms that are member of the taxonomic class Saccharomycetes, the function will return `TRUE`. It returns `FALSE` otherwise (or `NA` when the input is `NA` or the MO code is `UNKNOWN`).
+#'
+#' Determination of intrinsic resistance ([mo_is_intrinsic_resistant()]) will be based on the [intrinsic_resistant] data set, which is based on `r format_eucast_version_nr(3.3)`. The [mo_is_intrinsic_resistant()] function can be vectorised over both argument `x` (input for microorganisms) and `ab` (input for antibiotics).
 #'
 #' All output [will be translated][translate] 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.
 #'
-#' SNOMED codes - [mo_snomed()] - are from the version of `r documentation_date(TAXONOMY_VERSION$SNOMED$accessed_date)`. See *Source* and the [microorganisms] data set for more info.
+#' SNOMED codes ([mo_snomed()]) are from the version of `r documentation_date(TAXONOMY_VERSION$SNOMED$accessed_date)`. See *Source* and the [microorganisms] data set for more info.
 #'
 #' Old taxonomic names (so-called 'synonyms') can be retrieved with [mo_synonyms()], the current taxonomic name can be retrieved with [mo_current()]. Both functions return full names.
 #' @inheritSection mo_matching_score Matching Score for Microorganisms
@@ -64,6 +66,7 @@
 #' @name mo_property
 #' @return
 #' - An [integer] in case of [mo_year()]
+#' - An [ordered factor][factor] in case of [mo_pathogenicity()]
 #' - A [list] in case of [mo_taxonomy()], [mo_synonyms()] and [mo_info()]
 #' - A named [character] in case of [mo_url()]
 #' - A [numeric] in case of [mo_snomed()]
@@ -73,6 +76,7 @@
 #' @inheritSection AMR Reference Data Publicly Available
 #' @examples
 #' # taxonomic tree -----------------------------------------------------------
+#'
 #' mo_kingdom("Klebsiella pneumoniae")
 #' mo_phylum("Klebsiella pneumoniae")
 #' mo_class("Klebsiella pneumoniae")
@@ -82,27 +86,37 @@
 #' mo_species("Klebsiella pneumoniae")
 #' mo_subspecies("Klebsiella pneumoniae")
 #'
-#' # colloquial properties ----------------------------------------------------
+#'
+#' # full names and short names -----------------------------------------------
+#'
 #' mo_name("Klebsiella pneumoniae")
 #' mo_fullname("Klebsiella pneumoniae")
 #' mo_shortname("Klebsiella pneumoniae")
 #'
+#'
 #' # other properties ---------------------------------------------------------
+#'
+#' mo_pathogenicity("Klebsiella pneumoniae")
 #' mo_gramstain("Klebsiella pneumoniae")
 #' mo_snomed("Klebsiella pneumoniae")
 #' mo_type("Klebsiella pneumoniae")
 #' mo_rank("Klebsiella pneumoniae")
 #' mo_url("Klebsiella pneumoniae")
-#' mo_synonyms("Klebsiella pneumoniae")
+#' mo_is_yeast(c("Candida", "Trichophyton", "Klebsiella"))
+#'
 #'
 #' # scientific reference -----------------------------------------------------
+#'
 #' mo_ref("Klebsiella pneumoniae")
 #' mo_authors("Klebsiella pneumoniae")
 #' mo_year("Klebsiella pneumoniae")
 #' mo_lpsn("Klebsiella pneumoniae")
 #' mo_gbif("Klebsiella pneumoniae")
+#' mo_synonyms("Klebsiella pneumoniae")
+#'
 #'
 #' # abbreviations known in the field -----------------------------------------
+#'
 #' mo_genus("MRSA")
 #' mo_species("MRSA")
 #' mo_shortname("VISA")
@@ -111,18 +125,24 @@
 #' mo_genus("EHEC")
 #' mo_species("EHEC")
 #'
+#'
 #' # known subspecies ---------------------------------------------------------
+#'
 #' mo_fullname("K. pneu rh")
 #' mo_shortname("K. pneu rh")
 #'
+#'
 #' \donttest{
 #' # Becker classification, see ?as.mo ----------------------------------------
+#'
 #' mo_fullname("Staph. epidermidis")
 #' mo_fullname("Staph. epidermidis", Becker = TRUE)
 #' mo_shortname("Staph. epidermidis")
 #' mo_shortname("Staph. epidermidis", Becker = TRUE)
 #'
+#'
 #' # Lancefield classification, see ?as.mo ------------------------------------
+#'
 #' mo_fullname("S. pyo")
 #' mo_fullname("S. pyo", Lancefield = TRUE)
 #' mo_shortname("S. pyo")
@@ -130,6 +150,7 @@
 #'
 #'
 #' # language support  --------------------------------------------------------
+#'
 #' mo_gramstain("Klebsiella pneumoniae", language = "de") # German
 #' mo_gramstain("Klebsiella pneumoniae", language = "nl") # Dutch
 #' mo_gramstain("Klebsiella pneumoniae", language = "es") # Spanish
@@ -148,8 +169,6 @@
 #'
 #' # other --------------------------------------------------------------------
 #'
-#' mo_is_yeast(c("Candida", "Trichophyton", "Klebsiella"))
-#'
 #' # gram stains and intrinsic resistance can be used as a filter in dplyr verbs
 #' if (require("dplyr")) {
 #'   example_isolates %>%
@@ -162,7 +181,6 @@
 #'     count(mo_genus(), sort = TRUE)
 #' }
 #'
-#'
 #' # get a list with the complete taxonomy (from kingdom to subspecies)
 #' mo_taxonomy("Klebsiella pneumoniae")
 #'
@@ -386,6 +404,40 @@ mo_status <- function(x, language = get_AMR_locale(), keep_synonyms = getOption(
   translate_into_language(mo_validate(x = x, property = "status", language = language, keep_synonyms = keep_synonyms, ...), language = language, only_unknown = TRUE)
 }
 
+#' @rdname mo_property
+#' @export
+mo_pathogenicity <- function(x, language = get_AMR_locale(), keep_synonyms = getOption("AMR_keep_synonyms", FALSE), ...) {
+  if (missing(x)) {
+    # this tries to find the data and an 'mo' column
+    x <- find_mo_col(fn = "mo_pathogenicity")
+  }
+  meet_criteria(x, allow_NA = TRUE)
+  language <- validate_language(language)
+  meet_criteria(keep_synonyms, allow_class = "logical", has_length = 1)
+
+  x.mo <- as.mo(x, language = language, keep_synonyms = keep_synonyms, ...)
+  metadata <- get_mo_uncertainties()
+
+  prev <- AMR_env$MO_lookup$prevalence[match(x.mo, AMR_env$MO_lookup$mo)]
+  kngd <- AMR_env$MO_lookup$kingdom[match(x.mo, AMR_env$MO_lookup$mo)]
+  rank <- AMR_env$MO_lookup$rank[match(x.mo, AMR_env$MO_lookup$mo)]
+
+  out <- factor(ifelse(prev == 1 & kngd == "Bacteria" & rank != "genus",
+                       "Pathogenic",
+                       ifelse(prev < 2 & kngd == "Fungi",
+                              "Potentially pathogenic",
+                              ifelse(prev == 2 & kngd == "Bacteria",
+                                     "Non-pathogenic",
+                                     ifelse(kngd == "Bacteria",
+                                            "Potentially pathogenic",
+                                            "Unknown")))),
+                levels = c("Pathogenic", "Potentially pathogenic", "Non-pathogenic", "Unknown"),
+                ordered = TRUE)
+
+  load_mo_uncertainties(metadata)
+  out
+}
+
 #' @rdname mo_property
 #' @export
 mo_gramstain <- function(x, language = get_AMR_locale(), keep_synonyms = getOption("AMR_keep_synonyms", FALSE), ...) {
diff --git a/inst/tinytest/test-mo_property.R b/inst/tinytest/test-mo_property.R
index 5fc27749..7b1f7680 100644
--- a/inst/tinytest/test-mo_property.R
+++ b/inst/tinytest/test-mo_property.R
@@ -102,6 +102,9 @@ expect_equal(names(mo_info("Escherichia coli")), c(
 ))
 expect_inherits(mo_info(c("Escherichia coli", "Staphylococcus aureus")), "list")
 
+expect_equal(as.character(table(mo_pathogenicity(example_isolates$mo)))
+             c("1561", "422", "1", "16"))
+
 expect_equal(mo_ref("Escherichia coli"), "Castellani et al., 1919")
 expect_equal(mo_authors("Escherichia coli"), "Castellani et al.")
 expect_equal(mo_year("Escherichia coli"), 1919)
diff --git a/man/mo_property.Rd b/man/mo_property.Rd
index 2770d980..22738e84 100644
--- a/man/mo_property.Rd
+++ b/man/mo_property.Rd
@@ -16,6 +16,7 @@
 \alias{mo_domain}
 \alias{mo_type}
 \alias{mo_status}
+\alias{mo_pathogenicity}
 \alias{mo_gramstain}
 \alias{mo_is_gram_negative}
 \alias{mo_is_gram_positive}
@@ -133,6 +134,13 @@ mo_status(
   ...
 )
 
+mo_pathogenicity(
+  x,
+  language = get_AMR_locale(),
+  keep_synonyms = getOption("AMR_keep_synonyms", FALSE),
+  ...
+)
+
 mo_gramstain(
   x,
   language = get_AMR_locale(),
@@ -275,6 +283,7 @@ mo_property(
 \value{
 \itemize{
 \item An \link{integer} in case of \code{\link[=mo_year]{mo_year()}}
+\item An \link[=factor]{ordered factor} in case of \code{\link[=mo_pathogenicity]{mo_pathogenicity()}}
 \item A \link{list} in case of \code{\link[=mo_taxonomy]{mo_taxonomy()}}, \code{\link[=mo_synonyms]{mo_synonyms()}} and \code{\link[=mo_info]{mo_info()}}
 \item A named \link{character} in case of \code{\link[=mo_url]{mo_url()}}
 \item A \link{numeric} in case of \code{\link[=mo_snomed]{mo_snomed()}}
@@ -296,17 +305,19 @@ The short name - \code{\link[=mo_shortname]{mo_shortname()}} - almost always ret
 
 Since the top-level of the taxonomy is sometimes referred to as 'kingdom' and sometimes as 'domain', the functions \code{\link[=mo_kingdom]{mo_kingdom()}} and \code{\link[=mo_domain]{mo_domain()}} return the exact same results.
 
-Determination of the Gram stain - \code{\link[=mo_gramstain]{mo_gramstain()}} - will be based on the taxonomic kingdom and phylum. Originally, Cavalier-Smith defined the so-called subkingdoms Negibacteria and Posibacteria (2002, \href{https://pubmed.ncbi.nlm.nih.gov/11837318/}{PMID 11837318}), and only considered these phyla as Posibacteria: Actinobacteria, Chloroflexi, Firmicutes, and Tenericutes. These phyla were renamed to Actinomycetota, Chloroflexota, Bacillota, and Mycoplasmatota (2021, \href{https://pubmed.ncbi.nlm.nih.gov/34694987/}{PMID 34694987}). Bacteria in these phyla are considered Gram-positive in this \code{AMR} package, except for members of the class Negativicutes (within phylum Bacillota) which are Gram-negative. All other bacteria are considered Gram-negative. Species outside the kingdom of Bacteria will return a value \code{NA}. Functions \code{\link[=mo_is_gram_negative]{mo_is_gram_negative()}} and \code{\link[=mo_is_gram_positive]{mo_is_gram_positive()}} always return \code{TRUE} or \code{FALSE} (or \code{NA} when the input is \code{NA} or the MO code is \code{UNKNOWN}), thus always return \code{FALSE} for species outside the taxonomic kingdom of Bacteria.
+Determination of human pathogenicity (\code{\link[=mo_pathogenicity]{mo_pathogenicity()}}) is strongly based on Bartlett \emph{et al.} (2022, \doi{10.1099/mic.0.001269}). This function returns a \link{factor} with the levels \emph{Pathogenic}, \emph{Potentially pathogenic}, \emph{Non-pathogenic}, and \emph{Unknown}.
 
-Determination of yeasts - \code{\link[=mo_is_yeast]{mo_is_yeast()}} - will be based on the taxonomic kingdom and class. \emph{Budding yeasts} are fungi of the phylum Ascomycota, class Saccharomycetes (also called Hemiascomycetes). \emph{True yeasts} are aggregated into the underlying order Saccharomycetales. Thus, for all microorganisms that are member of the taxonomic class Saccharomycetes, the function will return \code{TRUE}. It returns \code{FALSE} otherwise (or \code{NA} when the input is \code{NA} or the MO code is \code{UNKNOWN}).
+Determination of the Gram stain (\code{\link[=mo_gramstain]{mo_gramstain()}}) will be based on the taxonomic kingdom and phylum. Originally, Cavalier-Smith defined the so-called subkingdoms Negibacteria and Posibacteria (2002, \href{https://pubmed.ncbi.nlm.nih.gov/11837318/}{PMID 11837318}), and only considered these phyla as Posibacteria: Actinobacteria, Chloroflexi, Firmicutes, and Tenericutes. These phyla were renamed to Actinomycetota, Chloroflexota, Bacillota, and Mycoplasmatota (2021, \href{https://pubmed.ncbi.nlm.nih.gov/34694987/}{PMID 34694987}). Bacteria in these phyla are considered Gram-positive in this \code{AMR} package, except for members of the class Negativicutes (within phylum Bacillota) which are Gram-negative. All other bacteria are considered Gram-negative. Species outside the kingdom of Bacteria will return a value \code{NA}. Functions \code{\link[=mo_is_gram_negative]{mo_is_gram_negative()}} and \code{\link[=mo_is_gram_positive]{mo_is_gram_positive()}} always return \code{TRUE} or \code{FALSE} (or \code{NA} when the input is \code{NA} or the MO code is \code{UNKNOWN}), thus always return \code{FALSE} for species outside the taxonomic kingdom of Bacteria.
 
-Determination of intrinsic resistance - \code{\link[=mo_is_intrinsic_resistant]{mo_is_intrinsic_resistant()}} - will be based on the \link{intrinsic_resistant} data set, which is based on \href{https://www.eucast.org/expert_rules_and_expected_phenotypes/}{'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3} (2021). The \code{\link[=mo_is_intrinsic_resistant]{mo_is_intrinsic_resistant()}} function can be vectorised over both argument \code{x} (input for microorganisms) and \code{ab} (input for antibiotics).
+Determination of yeasts (\code{\link[=mo_is_yeast]{mo_is_yeast()}}) will be based on the taxonomic kingdom and class. \emph{Budding yeasts} are fungi of the phylum Ascomycota, class Saccharomycetes (also called Hemiascomycetes). \emph{True yeasts} are aggregated into the underlying order Saccharomycetales. Thus, for all microorganisms that are member of the taxonomic class Saccharomycetes, the function will return \code{TRUE}. It returns \code{FALSE} otherwise (or \code{NA} when the input is \code{NA} or the MO code is \code{UNKNOWN}).
+
+Determination of intrinsic resistance (\code{\link[=mo_is_intrinsic_resistant]{mo_is_intrinsic_resistant()}}) will be based on the \link{intrinsic_resistant} data set, which is based on \href{https://www.eucast.org/expert_rules_and_expected_phenotypes/}{'EUCAST Expert Rules' and 'EUCAST Intrinsic Resistance and Unusual Phenotypes' v3.3} (2021). The \code{\link[=mo_is_intrinsic_resistant]{mo_is_intrinsic_resistant()}} function can be vectorised over both argument \code{x} (input for microorganisms) and \code{ab} (input for antibiotics).
 
 All output \link[=translate]{will be translated} where possible.
 
 The function \code{\link[=mo_url]{mo_url()}} will return the direct URL to the online database entry, which also shows the scientific reference of the concerned species.
 
-SNOMED codes - \code{\link[=mo_snomed]{mo_snomed()}} - are from the version of 1 July, 2021. See \emph{Source} and the \link{microorganisms} data set for more info.
+SNOMED codes (\code{\link[=mo_snomed]{mo_snomed()}}) are from the version of 1 July, 2021. See \emph{Source} and the \link{microorganisms} data set for more info.
 
 Old taxonomic names (so-called 'synonyms') can be retrieved with \code{\link[=mo_synonyms]{mo_synonyms()}}, the current taxonomic name can be retrieved with \code{\link[=mo_current]{mo_current()}}. Both functions return full names.
 }
@@ -369,6 +380,7 @@ All data sets in this \code{AMR} package (about microorganisms, antibiotics, R/S
 
 \examples{
 # taxonomic tree -----------------------------------------------------------
+
 mo_kingdom("Klebsiella pneumoniae")
 mo_phylum("Klebsiella pneumoniae")
 mo_class("Klebsiella pneumoniae")
@@ -378,27 +390,37 @@ mo_genus("Klebsiella pneumoniae")
 mo_species("Klebsiella pneumoniae")
 mo_subspecies("Klebsiella pneumoniae")
 
-# colloquial properties ----------------------------------------------------
+
+# full names and short names -----------------------------------------------
+
 mo_name("Klebsiella pneumoniae")
 mo_fullname("Klebsiella pneumoniae")
 mo_shortname("Klebsiella pneumoniae")
 
+
 # other properties ---------------------------------------------------------
+
+mo_pathogenicity("Klebsiella pneumoniae")
 mo_gramstain("Klebsiella pneumoniae")
 mo_snomed("Klebsiella pneumoniae")
 mo_type("Klebsiella pneumoniae")
 mo_rank("Klebsiella pneumoniae")
 mo_url("Klebsiella pneumoniae")
-mo_synonyms("Klebsiella pneumoniae")
+mo_is_yeast(c("Candida", "Trichophyton", "Klebsiella"))
+
 
 # scientific reference -----------------------------------------------------
+
 mo_ref("Klebsiella pneumoniae")
 mo_authors("Klebsiella pneumoniae")
 mo_year("Klebsiella pneumoniae")
 mo_lpsn("Klebsiella pneumoniae")
 mo_gbif("Klebsiella pneumoniae")
+mo_synonyms("Klebsiella pneumoniae")
+
 
 # abbreviations known in the field -----------------------------------------
+
 mo_genus("MRSA")
 mo_species("MRSA")
 mo_shortname("VISA")
@@ -407,18 +429,24 @@ mo_gramstain("VISA")
 mo_genus("EHEC")
 mo_species("EHEC")
 
+
 # known subspecies ---------------------------------------------------------
+
 mo_fullname("K. pneu rh")
 mo_shortname("K. pneu rh")
 
+
 \donttest{
 # Becker classification, see ?as.mo ----------------------------------------
+
 mo_fullname("Staph. epidermidis")
 mo_fullname("Staph. epidermidis", Becker = TRUE)
 mo_shortname("Staph. epidermidis")
 mo_shortname("Staph. epidermidis", Becker = TRUE)
 
+
 # Lancefield classification, see ?as.mo ------------------------------------
+
 mo_fullname("S. pyo")
 mo_fullname("S. pyo", Lancefield = TRUE)
 mo_shortname("S. pyo")
@@ -426,6 +454,7 @@ mo_shortname("S. pyo", Lancefield = TRUE)
 
 
 # language support  --------------------------------------------------------
+
 mo_gramstain("Klebsiella pneumoniae", language = "de") # German
 mo_gramstain("Klebsiella pneumoniae", language = "nl") # Dutch
 mo_gramstain("Klebsiella pneumoniae", language = "es") # Spanish
@@ -444,8 +473,6 @@ mo_fullname("S. pyogenes", Lancefield = TRUE, language = "uk")
 
 # other --------------------------------------------------------------------
 
-mo_is_yeast(c("Candida", "Trichophyton", "Klebsiella"))
-
 # gram stains and intrinsic resistance can be used as a filter in dplyr verbs
 if (require("dplyr")) {
   example_isolates \%>\%
@@ -458,7 +485,6 @@ if (require("dplyr")) {
     count(mo_genus(), sort = TRUE)
 }
 
-
 # get a list with the complete taxonomy (from kingdom to subspecies)
 mo_taxonomy("Klebsiella pneumoniae")