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reproduction_of_microorganisms.R
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reproduction_of_microorganisms.R
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# ==================================================================== #
# TITLE: #
# AMR: An R Package for Working with Antimicrobial Resistance Data #
# #
# SOURCE CODE: #
# https://github.com/msberends/AMR #
# #
# PLEASE CITE THIS SOFTWARE AS: #
# Berends MS, Luz CF, Friedrich AW, et al. (2022). #
# AMR: An R Package for Working with Antimicrobial Resistance Data. #
# Journal of Statistical Software, 104(3), 1-31. #
# https://doi.org/10.18637/jss.v104.i03 #
# #
# Developed at the University of Groningen and the University Medical #
# Center Groningen in The Netherlands, in collaboration with many #
# colleagues from around the world, see our website. #
# #
# This R package is free software; you can freely use and distribute #
# it for both personal and commercial purposes under the terms of the #
# GNU General Public License version 2.0 (GNU GPL-2), as published by #
# the Free Software Foundation. #
# We created this package for both routine data analysis and academic #
# research and it was publicly released in the hope that it will be #
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
# #
# Visit our website for the full manual and a complete tutorial about #
# how to conduct AMR data analysis: https://msberends.github.io/AMR/ #
# ==================================================================== #
# ! THIS SCRIPT REQUIRES AT LEAST 16 GB RAM !
# (at least 12 GB will be used by the R session for the size of the files)
# GBIF:
# 1. Go to https://doi.org/10.15468/39omei and find the download link for the
# latest GBIF backbone taxonony under "Endpoints" and unpack "Taxon.tsv" from it (~1.0 GB)
# ALSO BE SURE to get the date of release and update R/aa_globals.R later!
# LPSN:
# 2. Go to https://lpsn.dsmz.de/downloads (register first) and download the latest
# CSV file (~12,5 MB) and rename to "taxonomy.csv"
# ALSO BE SURE to get the date of release and update R/aa_globals.R later!
# MycoBank:
# 3. Go to https://www.mycobank.org/ and find the download link of all entries
# (last time https://www.mycobank.org/images/MBList.zip) and unpack
# "MBList.xlsx" from it (~120 MB)
# ALSO BE SURE to get the date of release and update R/aa_globals.R later!
# Bartlett:
# 4. For data about human pathogens, we use Bartlett et al. (2022),
# https://doi.org/10.1099/mic.0.001269. Their latest supplementary material
# can be found here: https://github.com/padpadpadpad/bartlett_et_al_2022_human_pathogens.
# Download their latest xlsx file in the `data` folder and save it to our
# `data-raw` folder.
# 5. Set these locations to the paths where the files are:
folder_location <- "~/Downloads/"
file_gbif <- paste0(folder_location, "/backbone/Taxon.tsv")
file_lpsn <- paste0(folder_location, "taxonomy.csv")
file_mycobank <- paste0(folder_location, "MBList.xlsx")
file_bartlett <- "data-raw/bartlett_et_al_2022_human_pathogens.xlsx"
# 4. Run the rest of this script line by line and check everything :)
if (!file.exists(file_gbif)) stop("GBIF file not found")
if (!file.exists(file_lpsn)) stop("LPSN file not found")
if (!file.exists(file_mycobank)) stop("MB file not found")
if (!file.exists(file_bartlett)) stop("Bartlett et al. Excel file not found")
library(dplyr)
library(tidyr)
library(vroom) # to import files
library(rvest) # to scape LPSN website
library(progress) # to show progress bars
library(readxl) # for reading the Bartlett Excel file
devtools::load_all(".") # load AMR package
# Helper functions --------------------------------------------------------
get_author_year <- function(ref) {
# Only keep first author, e.g. transform 'Smith, Jones, 2011' to 'Smith et al., 2011'
authors2 <- iconv(ref, from = "UTF-8", to = "ASCII//TRANSLIT")
authors2 <- gsub(" ?\\(Approved Lists [0-9]+\\) ?", " () ", authors2)
authors2 <- gsub(" [)(]+ $", "", authors2)
# remove leading and trailing brackets
authors2 <- trimws(gsub("^[(](.*)[)]$", "\\1", authors2))
# only take part after brackets if there's a name
authors2 <- ifelse(grepl(".*[)] [a-zA-Z]+.*", authors2),
gsub(".*[)] (.*)", "\\1", authors2),
authors2
)
# replace parentheses with emend. to get the latest authors
authors2 <- gsub("(", " emend. ", authors2, fixed = TRUE)
authors2 <- gsub(")", "", authors2, fixed = TRUE)
authors2 <- gsub(" +", " ", authors2)
authors2 <- trimws(authors2)
# get year from last 4 digits
lastyear <- as.integer(gsub(".*([0-9]{4})$", "\\1", authors2))
# can never be later than now
lastyear <- ifelse(lastyear > as.integer(format(Sys.Date(), "%Y")),
NA,
lastyear
)
# get authors without last year
authors <- gsub("(.*)[0-9]{4}$", "\\1", authors2)
# not sure what this is
authors <- gsub("(Saito)", "", authors, fixed = TRUE)
authors <- gsub("(Oudem.)", "", authors, fixed = TRUE)
# remove nonsense characters from names
authors <- gsub("[^a-zA-Z,'&. -]", "", authors)
# no initials, only surname
authors <- gsub("[A-Z-][.]", "", authors, ignore.case = FALSE)
# remove trailing and leading spaces
authors <- trimws(authors)
# keep only the part after last 'emend.' to get the latest authors
authors <- gsub(".*emend[.] ?", "", authors)
# only keep first author and replace all others by 'et al'
authors <- gsub("(,| and| et| &| ex| emend\\.?) .*", " et al.", authors)
# et al. always with ending dot
authors <- gsub(" et al\\.?", " et al.", authors)
authors <- gsub(" ?,$", "", authors)
# don't start with 'sensu' or 'ehrenb'
authors <- gsub("^(sensu|Ehrenb.?|corrig.?) ", "", authors, ignore.case = TRUE)
# no initials, only surname
authors <- trimws(authors)
authors <- gsub("^([A-Z-][.])+( & ?)?", "", authors, ignore.case = FALSE)
authors <- gsub("^([A-Z-]+ )+", "", authors, ignore.case = FALSE)
# remove dots
authors <- gsub(".", "", authors, fixed = TRUE)
authors <- gsub("et al", "et al.", authors, fixed = TRUE)
authors[nchar(authors) <= 3] <- ""
# combine author and year if year is available
ref <- ifelse(!is.na(lastyear),
paste0(authors, ", ", lastyear),
authors
)
# fix beginning and ending
ref <- gsub(", $", "", ref)
ref <- gsub("^, ", "", ref)
ref <- gsub("^(emend|et al.,?)", "", ref)
ref <- trimws(ref)
ref <- gsub("'", "", ref)
# a lot start with a lowercase character - fix that
ref[!grepl("^d[A-Z]", ref)] <- gsub("^([a-z])", "\\U\\1", ref[!grepl("^d[A-Z]", ref)], perl = TRUE)
# specific one for the French that are named dOrbigny
ref[grepl("^d[A-Z]", ref)] <- gsub("^d", "d'", ref[grepl("^d[A-Z]", ref)])
ref <- gsub(" +", " ", ref)
ref[ref == ""] <- NA_character_
ref
}
df_remove_nonASCII <- function(df) {
# Remove non-ASCII characters (these are not allowed by CRAN)
df %>%
mutate_if(is.character, iconv, from = "UTF-8", to = "ASCII//TRANSLIT") %>%
# also remove invalid characters
mutate_if(is.character, ~ gsub("[\"'`]+", "", .)) %>%
AMR:::dataset_UTF8_to_ASCII()
}
# to retrieve LPSN and authors from LPSN website
# e.g., get_lpsn_and_author("genus", "Klebsiella")
get_lpsn_and_author <- function(rank, name) {
name <- gsub("^Candidatus ", "", name)
url <- paste0("https://lpsn.dsmz.de/", tolower(rank), "/", tolower(name))
page_txt <- tryCatch(read_html(url), error = function(e) NULL)
if (is.null(page_txt)) {
warning("No LPSN found for ", tolower(rank), " '", name, "'")
lpsn <- NA_character_
ref <- NA_character_
status <- "unknown"
} else {
page_txt <- page_txt %>%
html_element("#detail-page") %>%
html_text()
lpsn <- gsub(".*Record number:[\r\n\t ]*([0-9]+).*", "\\1", page_txt, perl = FALSE)
ref <- page_txt %>%
gsub(".*?Name: (.*[0-9]{4}?).*", "\\1", ., perl = FALSE) %>%
gsub(name, "", ., fixed = TRUE) %>%
gsub("^\"?Candidatus ?\"?", "", .) %>%
trimws()
status <- trimws(gsub(".*Nomenclatural status:[\r\n\t ]*([a-zA-Z, ]+)[\r\n\t].*", "\\1", page_txt, perl = FALSE))
if ((status %like% "validly published" & status %unlike% "not valid") | status %like% "[\r\n\t]") {
# we used to take "accepted" for every LPSN record, also candidates. Now only for missing values and explicit accepted ones.
status <- "accepted"
} else {
status <- "not validly published"
}
}
c("lpsn" = lpsn, "ref" = ref, "status" = status)
}
# this will e.g. take the family from the root genus record, and gives all species of that family
get_top_lvl <- function(current, rank, source, rank_target, target) {
current.bak <- current
current <- current[target != ""]
rank <- rank[target != ""]
source <- source[target != ""]
target <- target[target != ""]
if (length(current) == 0) {
current.bak
} else if (!rank_target %in% rank) {
current.bak[1]
} else {
if (n_distinct(source) > 1 && "GBIF" %in% source) {
# prefer LPSN and MycoBank over GBIF, which is often not up-to-date at all
current <- current[source != "GBIF"]
rank <- rank[source != "GBIF"]
source <- source[source != "GBIF"]
}
out <- current[rank == rank_target][1]
if (out %in% c("", NA)) {
out <- names(sort(table(current[which(!current %in% c("", NA))]), decreasing = TRUE)[1])
if (is.null(out)) {
out <- ""
}
}
out
}
}
# MB/ June 2024: after years still useless, does not contain full taxonomy, e.g. LPSN::request(cred, category = "family") is empty.
# get_from_lpsn <- function (user, pw) {
# if (!"LPSN" %in% rownames(utils::installed.packages())) {
# stop("Install the official LPSN package for R using: install.packages('LPSN', repos = 'https://r-forge.r-project.org')")
# }
# cred <- LPSN::open_lpsn(user, pw)
#
# lpsn_genus <- LPSN::request(cred, category = "genus")
# message("Downloading genus data (n = ", lpsn_genus$count, ") from LPSN API...")
# lpsn_genus <- as.data.frame(LPSN::retrieve(cred, category = "genus"))
#
# lpsn_species <- LPSN::request(cred, category = "species")
# message("Downloading species data (n = ", lpsn_species$count, ") from LPSN API...")
# lpsn_species <- as.data.frame(LPSN::retrieve(cred, category = "species"))
#
# lpsn_subspecies <- LPSN::request(cred, category = "subspecies")
# message("Downloading subspecies data (n = ", lpsn_subspecies$count, ") from LPSN API...")
# lpsn_subspecies <- as.data.frame(LPSN::retrieve(cred, category = "subspecies"))
#
# message("Binding rows...")
# lpsn_total <- bind_rows(lpsn_genus, lpsn_species, lpsn_subspecies)
# message("Done.")
# lpsn_total
# }
# Read LPSN data ----------------------------------------------------------
taxonomy_lpsn.bak <- vroom(file_lpsn, guess_max = 1e5)
taxonomy_lpsn <- taxonomy_lpsn.bak %>%
transmute(
genus = genus_name,
species = sp_epithet,
subspecies = subsp_epithet,
rank = case_when(
!is.na(subsp_epithet) ~ "subspecies",
!is.na(sp_epithet) ~ "species",
TRUE ~ "genus"
),
status = ifelse(is.na(record_lnk), "accepted", "synonym"),
ref = authors,
lpsn = as.character(record_no),
lpsn_parent = NA_character_,
lpsn_renamed_to = as.character(record_lnk)
) %>%
mutate(source = "LPSN")
# integrity tests
sort(table(taxonomy_lpsn$rank))
sort(table(taxonomy_lpsn$status))
taxonomy_lpsn
# download additional taxonomy to the domain/kingdom level (their API is not sufficient...)
taxonomy_lpsn_missing <- tibble(
kingdom = character(0),
phylum = character(0),
class = character(0),
order = character(0),
family = character(0),
genus = character(0)
)
for (page in LETTERS) {
# this will not alter `taxonomy_lpsn` yet
message("Downloading page ", page, "...", appendLF = TRUE)
url <- paste0("https://lpsn.dsmz.de/genus?page=", page)
x <- tryCatch(read_html(url),
error = function(e) {
message("Waiting 10 seconds because of error: ", e$message)
Sys.sleep(10)
read_html(url)
})
x <- x %>%
# class "main-list" is the main table
html_element(".main-list") %>%
# get every list element with a set <id> attribute
html_elements("li[id]")
pb <- progress_bar$new(total = length(x), format = "[:bar] :current/:total :eta")
for (i in seq_len(length(x))) {
pb$tick()
elements <- x[[i]] %>% html_elements("a")
hrefs <- elements %>% html_attr("href")
ranks <- hrefs %>% gsub(".*/(.*?)/.*", "\\1", .)
names <- elements %>%
html_text() %>%
gsub('"', "", ., fixed = TRUE)
# no species, this must be until genus level
hrefs <- hrefs[ranks != "species"]
names <- names[ranks != "species"]
ranks <- ranks[ranks != "species"]
ranks[ranks == "domain"] <- "kingdom"
suppressMessages(
df <- names %>%
tibble() %>%
t() %>%
as_tibble(.name_repair = "unique") %>%
setNames(ranks) %>%
# no candidates please
filter(genus %unlike% "^(Candidatus|\\[)")
)
taxonomy_lpsn_missing <- taxonomy_lpsn_missing %>%
bind_rows(df)
}
message(" => ", length(x), " entries incl. candidates (cleaned total: ", nrow(taxonomy_lpsn_missing), ")")
}
taxonomy_lpsn_missing <- taxonomy_lpsn_missing %>% distinct()
saveRDS(taxonomy_lpsn_missing, "data-raw/taxonomy_lpsn_missing.rds")
# had to pick the right genus/family combination here:
taxonomy_lpsn_missing <- taxonomy_lpsn_missing %>% filter(!(genus == "Pusillimonas" & family == "Oscillospiraceae"))
taxonomy_lpsn.bak2 <- taxonomy_lpsn.bak
taxonomy_lpsn <- taxonomy_lpsn %>%
left_join(taxonomy_lpsn_missing, by = "genus") %>%
select(kingdom:family, everything()) %>%
# remove entries like "[Bacteria, no family]" and "[Bacteria, no class]"
mutate_all(function(x) ifelse(x %like_case% " no ", NA_character_, x))
taxonomy_lpsn.bak2 <- taxonomy_lpsn
# download family directly from LPSN website using scraping, by using get_lpsn_and_author()
# try it first:
# get_lpsn_and_author("genus", "Escherichia")
# get_lpsn_and_author("family", "Enterobacteriaceae")
pb <- progress_bar$new(total = length(unique(taxonomy_lpsn$family)), format = "[:bar] :current/:total :eta")
for (f in unique(taxonomy_lpsn$family)) {
pb$tick()
if (is.na(f)) next
tax_info <- get_lpsn_and_author("Family", f)
taxonomy_lpsn <- taxonomy_lpsn %>%
bind_rows(tibble(
kingdom = taxonomy_lpsn$kingdom[which(taxonomy_lpsn$family == f)[1]],
phylum = taxonomy_lpsn$phylum[which(taxonomy_lpsn$family == f)[1]],
class = taxonomy_lpsn$class[which(taxonomy_lpsn$family == f)[1]],
order = taxonomy_lpsn$order[which(taxonomy_lpsn$family == f)[1]],
family = f,
rank = "family",
status = unname(tax_info["status"]),
source = "LPSN",
lpsn = unname(tax_info["lpsn"]),
ref = unname(tax_info["ref"])
))
}
# download order directly from LPSN website using scraping
# try it first:
# get_lpsn_and_author("order", "Enterobacterales")
pb <- progress_bar$new(total = length(unique(taxonomy_lpsn$order)), format = "[:bar] :current/:total :eta")
for (o in unique(taxonomy_lpsn$order)) {
pb$tick()
if (is.na(o)) next
tax_info <- get_lpsn_and_author("Order", o)
taxonomy_lpsn <- taxonomy_lpsn %>%
bind_rows(tibble(
kingdom = taxonomy_lpsn$kingdom[which(taxonomy_lpsn$order == o)[1]],
phylum = taxonomy_lpsn$phylum[which(taxonomy_lpsn$order == o)[1]],
class = taxonomy_lpsn$class[which(taxonomy_lpsn$order == o)[1]],
order = o,
rank = "order",
status = unname(tax_info["status"]),
source = "LPSN",
lpsn = unname(tax_info["lpsn"]),
ref = unname(tax_info["ref"])
))
}
# download class directly from LPSN website using scraping
# try it first:
# get_lpsn_and_author("class", "Gammaproteobacteria")
pb <- progress_bar$new(total = length(unique(taxonomy_lpsn$class)), format = "[:bar] :current/:total :eta")
for (cc in unique(taxonomy_lpsn$class)) {
pb$tick()
if (is.na(cc)) next
tax_info <- get_lpsn_and_author("Class", cc)
taxonomy_lpsn <- taxonomy_lpsn %>%
bind_rows(tibble(
kingdom = taxonomy_lpsn$kingdom[which(taxonomy_lpsn$class == cc)[1]],
phylum = taxonomy_lpsn$phylum[which(taxonomy_lpsn$class == cc)[1]],
class = cc,
rank = "class",
status = unname(tax_info["status"]),
source = "LPSN",
lpsn = unname(tax_info["lpsn"]),
ref = unname(tax_info["ref"])
))
}
# download phylum directly from LPSN website using scraping
# try it first:
# get_lpsn_and_author("phylum", "Pseudomonadota")
pb <- progress_bar$new(total = length(unique(taxonomy_lpsn$phylum)), format = "[:bar] :current/:total :eta")
for (p in unique(taxonomy_lpsn$phylum)) {
pb$tick()
if (is.na(p)) next
tax_info <- get_lpsn_and_author("Phylum", p)
taxonomy_lpsn <- taxonomy_lpsn %>%
bind_rows(tibble(
kingdom = taxonomy_lpsn$kingdom[which(taxonomy_lpsn$phylum == p)[1]],
phylum = p,
rank = "phylum",
status = unname(tax_info["status"]),
source = "LPSN",
lpsn = unname(tax_info["lpsn"]),
ref = unname(tax_info["ref"])
))
}
# download kingdom directly from LPSN website using scraping
# try it first:
# get_lpsn_and_author("kingdom", "Bacteria")
pb <- progress_bar$new(total = length(unique(taxonomy_lpsn$kingdom)), format = "[:bar] :current/:total :eta")
for (k in unique(taxonomy_lpsn$kingdom)) {
pb$tick()
if (is.na(k)) next
tax_info <- get_lpsn_and_author("Domain", k)
taxonomy_lpsn <- taxonomy_lpsn %>%
bind_rows(tibble(
kingdom = k,
rank = "kingdom",
status = unname(tax_info["status"]),
source = "LPSN",
lpsn = unname(tax_info["lpsn"]),
ref = unname(tax_info["ref"])
))
}
taxonomy_lpsn <- taxonomy_lpsn |>
filter(status != "not validly published")
# integrity tests
sort(table(taxonomy_lpsn$rank))
# should only be 'accepted' and 'synonym':
sort(table(taxonomy_lpsn$status))
# Read MycoBank data ------------------------------------------------------
taxonomy_mycobank <- readxl::read_excel(file_mycobank, guess_max = 1e5)
taxonomy_mycobank.bak <- taxonomy_mycobank
taxonomy_mycobank <- taxonomy_mycobank %>%
transmute(mycobank = `MycoBank #`,
fullname = gsub(" +", " ", `Taxon name`),
current = `Current name.Taxon name`,
ref = paste0(Authors, ", ", `Year of effective publication`),
rank = `Rank.Rank name`,
status = `Name status`,
mycobank_renamed_to = taxonomy_mycobank.bak$`MycoBank #`[match(`Current name.Taxon name`, taxonomy_mycobank.bak$`Taxon name`)],
Classification
) %>%
separate(Classification, sep = ", ", into = paste0("tax_", letters[1:20]), remove = TRUE) %>%
mutate(rank = case_when(
fullname %like_case% "^[A-Z][a-z]+ .+ .+" ~ "subsp.",
rank == "-" & fullname %like_case% "^[A-Z][a-z]+ [a-z-]+$" ~ "sp.",
rank == "-" & paste0(fullname, " ") %in% gsub("(^[A-Z][a-z]+ ).*", "\\1", trimws(taxonomy_mycobank.bak$`Taxon name`), perl = TRUE) ~ "gen.",
# we take a leap here for the family and order
rank == "-" & fullname %like% "ceae$" ~ "fam.",
rank == "-" & fullname %like% "ales$" ~ "ordo",
# tax_d and tax_e are the subdivision/class columns, kind of; prefer e over d
rank == "-" & fullname %in% tax_e ~ "cl.",
rank == "-" & fullname %in% tax_d ~ "cl.",
TRUE ~ rank
)) %>%
filter(rank %unlike% "sub" & !tolower(rank) %in% c("var.", "sect.", "ser.", "tr.", "f.", "race", "stirps", "*", "-"),
# we also remove orthographic variants here, because our algorithms will give valid results based on misspelling
!tolower(status) %in% c("invalid", "deleted", "uncertain", "illegitimate", "orthographic variant", "unavailable")) %>%
mutate(mycobank_renamed_to = if_else(mycobank_renamed_to == mycobank, NA_character_, mycobank_renamed_to)) %>%
# only keep 1 entry for the kingdom (regnum)
filter(fullname == "Fungi" | rank != "regn.") %>%
# no other kingdoms than fungi
filter(fullname == "Fungi" | tax_a == "Fungi") %>%
select_if(function(x) !all(is.na(x)))
taxonomy_mycobank %>% count(rank, sort = TRUE)
unique(taxonomy_mycobank$status)
taxonomy_mycobank <- taxonomy_mycobank %>%
mutate(status = if_else(!is.na(mycobank_renamed_to), "synonym", "accepted"))
taxonomy_mycobank2 <- taxonomy_mycobank
taxonomy_mycobank <- taxonomy_mycobank %>%
mutate(rank = case_match(rank,
"sp." ~ "species",
"gen." ~ "genus",
"fam." ~ "family",
"ordo" ~ "order",
"cl." ~ "class",
"div." ~ "phylum",
"regn." ~ "kingdom",
.default = paste0("#", rank)))
taxonomy_mycobank %>% filter(rank %like% "#")
taxonomy_mycobank %>% count(rank, sort = TRUE)
taxonomy_mycobank3 <- taxonomy_mycobank
# MycoBank just pasted their taxonomy together into 1 field, and now some classes are in the division (tax_b) column, it's horrible
# so we decide based on the fullname and rank column per record
# use this to determine how far to go:
any(taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "class"] %in% taxonomy_mycobank$tax_e) # replace tax_e with tax_f, etc
taxonomy_mycobank <- taxonomy_mycobank %>%
mutate(kingdom = "Fungi", # we already filtered everything else, and MycoBank 90157 has '-' as current name...
phylum = case_when(rank == "phylum" ~ fullname,
tax_b %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "phylum"] ~ tax_b,
tax_c %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "phylum"] ~ tax_c,
TRUE ~ ""),
class = case_when(rank == "class" ~ fullname,
tax_c %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "class"] ~ tax_c,
tax_d %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "class"] ~ tax_d,
tax_e %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "class"] ~ tax_e,
TRUE ~ ""),
order = case_when(rank == "order" ~ fullname,
tax_c %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "order"] ~ tax_c,
tax_d %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "order"] ~ tax_d,
tax_e %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "order"] ~ tax_e,
tax_f %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "order"] ~ tax_f,
tax_g %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "order"] ~ tax_g,
TRUE ~ ""),
family = case_when(rank == "family" ~ fullname,
tax_c %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "family"] ~ tax_c,
tax_d %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "family"] ~ tax_d,
tax_e %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "family"] ~ tax_e,
tax_f %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "family"] ~ tax_f,
tax_g %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "family"] ~ tax_g,
tax_h %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "family"] ~ tax_h,
tax_i %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "family"] ~ tax_i,
TRUE ~ ""),
genus = case_when(rank == "genus" ~ fullname,
tax_b %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "genus"] ~ tax_b,
tax_c %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "genus"] ~ tax_c,
tax_d %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "genus"] ~ tax_d,
tax_e %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "genus"] ~ tax_e,
tax_f %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "genus"] ~ tax_f,
tax_g %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "genus"] ~ tax_g,
tax_h %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "genus"] ~ tax_h,
tax_i %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "genus"] ~ tax_i,
tax_k %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "genus"] ~ tax_j,
tax_k %in% taxonomy_mycobank$fullname[taxonomy_mycobank$rank == "genus"] ~ tax_k,
TRUE ~ ""),
species = case_when(rank == "species" & fullname %like% " " ~ gsub(".* (.*)", "\\1", fullname, perl = TRUE),
TRUE ~ "")
)
# FOR 2025: use this to get all the genera with updated names from MO_PREVALENT_GENERA:
# AMR::microorganisms %>% filter(genus %in% MO_PREVALENT_GENERA) %>% pull(fullname) %>% mo_current() %>% mo_genus() %>% unique() %>% sort()
# keep only the relevant ones
taxonomy_mycobank <- taxonomy_mycobank %>%
filter(order %in% include_fungal_orders |
genus %in% AMR:::MO_PREVALENT_GENERA |
!rank %in% c("genus", "species")) %>%
filter(!(genus == "" & rank %in% c("genus", "species")))
# clean up authors and add last columns
taxonomy_mycobank <- taxonomy_mycobank %>%
mutate(subspecies = "",
source = "MycoBank",
mycobank_parent = NA_character_)
# select final set
taxonomy_mycobank <- taxonomy_mycobank %>%
select(fullname, kingdom, phylum, class, order, family, genus, species, subspecies,
rank, status, ref, mycobank, mycobank_parent, mycobank_renamed_to, source)
# not all 'renamed to' records are available, some were even just orthographic variants (that have an invalid status)
taxonomy_mycobank$status[!is.na(taxonomy_mycobank$mycobank_renamed_to) & !taxonomy_mycobank$mycobank_renamed_to %in% taxonomy_mycobank$mycobank] <- "accepted"
taxonomy_mycobank$mycobank_renamed_to[taxonomy_mycobank$status == "accepted"] <- NA
taxonomy_mycobank %>% count(status)
# Read GBIF data ----------------------------------------------------------
taxonomy_gbif.bak <- vroom(file_gbif, guess_max = 1e5)
include_fungal_orders <- unique(taxonomy_mycobank$order[!taxonomy_mycobank$order %in% c("", NA)])
# get latest taxonomic names of these fungal orders
include_fungal_orders_ids <- taxonomy_gbif.bak %>%
filter(order %in% include_fungal_orders)
include_fungal_orders <- taxonomy_gbif.bak %>%
filter(taxonID %in% c(include_fungal_orders_ids$taxonID, include_fungal_orders_ids$acceptedNameUsageID)) %>%
distinct(order) %>%
pull(order) %>%
sort()
# check some columns to validate below filters
taxonomy_gbif.bak %>% count(taxonomicStatus, sort = TRUE)
taxonomy_gbif.bak %>% count(taxonRank, sort = TRUE)
taxonomy_gbif <- taxonomy_gbif.bak %>%
# immediately filter rows we really never want
filter(
# never doubtful status, only accepted and all synonyms, and only ranked items
taxonomicStatus != "doubtful",
taxonRank != "unranked",
# include these kingdoms (no Chromista)
kingdom %in% c("Archaea", "Bacteria", "Protozoa") |
# include all of these fungal orders
order %in% include_fungal_orders |
# and all of these important genera (see "data-raw/_pre_commit_checks.R")
# (they also contain bacteria and protozoa, but these will get prevalence = 2 later on)
genus %in% AMR:::MO_PREVALENT_GENERA
) %>%
select(
kingdom,
phylum,
class,
order,
family,
genus,
species = specificEpithet,
subspecies = infraspecificEpithet,
rank = taxonRank,
status = taxonomicStatus,
ref = scientificNameAuthorship,
gbif = taxonID,
gbif_parent = parentNameUsageID,
gbif_renamed_to = acceptedNameUsageID
) %>%
mutate(
# do this mutate after the original selection/filtering, as it decreases computing time tremendously
status = ifelse(status == "accepted", "accepted", "synonym"),
# checked taxonRank - the "form" and "variety" always have a subspecies, so:
rank = ifelse(rank %in% c("form", "variety"), "subspecies", rank),
source = "GBIF"
) %>%
filter(
# their data is messy - keep only these:
rank == "kingdom" & !is.na(kingdom) |
rank == "phylum" & !is.na(phylum) |
rank == "class" & !is.na(class) |
rank == "order" & !is.na(order) |
rank == "family" & !is.na(family) |
rank == "genus" & !is.na(genus) |
rank == "species" & !is.na(species) |
rank == "subspecies" & !is.na(subspecies)
) %>%
# some items end with _A or _B... why??
mutate_all(~ gsub("_[A-Z]$", "", .x, perl = TRUE)) %>%
# now we have duplicates, remove these, but prioritise "accepted" status and highest taxon ID
arrange(status, gbif) %>%
distinct(kingdom, phylum, class, order, family, genus, species, subspecies, .keep_all = TRUE) %>%
filter(
kingdom %unlike% "[0-9]",
phylum %unlike% "[0-9]",
class %unlike% "[0-9]",
order %unlike% "[0-9]",
family %unlike% "[0-9]",
genus %unlike% "[0-9]"
)
# integrity tests
sort(table(taxonomy_gbif$rank))
sort(table(taxonomy_gbif$status))
taxonomy_gbif
# Save intermediate results -----------------------------------------------
saveRDS(taxonomy_gbif, "data-raw/taxonomy_gbif.rds", version = 2)
saveRDS(taxonomy_lpsn, "data-raw/taxonomy_lpsn.rds", version = 2)
saveRDS(taxonomy_mycobank, "data-raw/taxonomy_mycobank.rds", version = 2)
# this allows to always get back to this point by simply loading the files from data-raw/.
# Add full names ----------------------------------------------------------
taxonomy_gbif <- taxonomy_gbif %>%
# clean NAs and add fullname
mutate(across(kingdom:subspecies, function(x) ifelse(is.na(x), "", x)),
fullname = trimws(case_when(
rank == "family" ~ family,
rank == "order" ~ order,
rank == "class" ~ class,
rank == "phylum" ~ phylum,
rank == "kingdom" ~ kingdom,
TRUE ~ paste(genus, species, subspecies) # already trimmed 6 lines up
)), .before = 1
) %>%
# keep only one GBIF taxon ID per full name
arrange(fullname, gbif) %>%
distinct(kingdom, rank, fullname, .keep_all = TRUE)
taxonomy_lpsn <- taxonomy_lpsn %>%
# clean NAs and add fullname
mutate(across(kingdom:subspecies, function(x) ifelse(is.na(x), "", x)),
fullname = trimws(case_when(
rank == "family" ~ family,
rank == "order" ~ order,
rank == "class" ~ class,
rank == "phylum" ~ phylum,
rank == "kingdom" ~ kingdom,
TRUE ~ paste(genus, species, subspecies) # already trimmed 6 lines up
)), .before = 1
) %>%
# keep only one LPSN record ID per full name
arrange(fullname, lpsn) %>%
distinct(kingdom, rank, fullname, .keep_all = TRUE)
taxonomy_mycobank <- taxonomy_mycobank %>%
# clean NAs and add fullname
mutate(across(kingdom:subspecies, function(x) ifelse(is.na(x), "", x)),
fullname = trimws(case_when(
rank == "family" ~ family,
rank == "order" ~ order,
rank == "class" ~ class,
rank == "phylum" ~ phylum,
rank == "kingdom" ~ kingdom,
TRUE ~ paste(genus, species, subspecies) # already trimmed 6 lines up
)), .before = 1
) %>%
# keep only one MycoBank record ID per full name
arrange(fullname, mycobank) %>%
distinct(kingdom, rank, fullname, .keep_all = TRUE)
# Combine the datasets ----------------------------------------------------
# TODO !! check why e.g. Clavispora lusitaniae is gotten from GBIF, not MycoBank !!
taxonomy <- taxonomy_lpsn %>%
# add fungi
bind_rows(taxonomy_mycobank) %>%
# start by adding GBIF to the bottom
bind_rows(taxonomy_gbif) %>%
# group on unique species
group_by(kingdom, fullname) %>%
# fill the NAs in LPSN/GBIF fields and ref with the other source (so LPSN: 123 and GBIF: NA will become LPSN: 123 and GBIF: 123)
mutate(across(matches("^(lpsn|mycobank|gbif|ref)"), function(x) rep(x[!is.na(x)][1], length(x)))) %>%
# ungroup again
ungroup() %>%
# only keep unique species per kingdom
distinct(kingdom, fullname, .keep_all = TRUE) %>%
arrange(fullname)
# get missing entries from existing microorganisms data set
taxonomy.old <- AMR::microorganisms %>%
select(any_of(colnames(taxonomy))) %>%
filter(
!paste(kingdom, fullname) %in% paste(taxonomy$kingdom, taxonomy$fullname),
# these will be added later:
source != "manually added")
taxonomy <- taxonomy %>%
bind_rows(taxonomy.old) %>%
arrange(fullname) %>%
filter(fullname != "")
# fix rank
taxonomy %>% count(rank, sort = TRUE)
taxonomy <- taxonomy %>%
mutate(rank = case_when(
subspecies != "" ~ "subspecies",
species != "" ~ "species",
genus != "" ~ "genus",
family != "" ~ "family",
order != "" ~ "order",
class != "" ~ "class",
phylum != "" ~ "phylum",
kingdom != "" ~ "kingdom",
TRUE ~ NA_character_
))
taxonomy %>% count(rank, sort = TRUE)
# at this point, it happens that some genera within kingdoms have multiple families / orders, etc., see here:
taxonomy %>% filter(genus != "") %>% group_by(kingdom, genus) %>% filter(n_distinct(family) > 1) %>% View()
# so make this universal
taxonomy0 <- taxonomy
taxonomy <- taxonomy0
taxonomy <- taxonomy %>%
group_by(kingdom, genus) %>%
mutate(family = get_top_lvl(family, rank, source, "genus", genus)) %>%
group_by(kingdom, family) %>%
mutate(order = get_top_lvl(order, rank, source, "family", family)) %>%
group_by(kingdom, order) %>%
mutate(class = get_top_lvl(class, rank, source, "order", order)) %>%
group_by(kingdom, class) %>%
mutate(phylum = get_top_lvl(phylum, rank, source, "class", class),
.after = phylum) %>%
ungroup()
# and remove the taxonomy where it must remain empty
taxonomy <- taxonomy %>%
mutate(phylum = ifelse(rank %in% c("kingdom"), "", phylum),
class = ifelse(rank %in% c("kingdom", "phylum"), "", class),
order = ifelse(rank %in% c("kingdom", "phylum", "class"), "", order),
family = ifelse(rank %in% c("kingdom", "phylum", "class", "order"), "", family),
genus = ifelse(rank %in% c("kingdom", "phylum", "class", "order", "family"), "", genus),
species = ifelse(rank %in% c("kingdom", "phylum", "class", "order", "family", "genus"), "", species),
subspecies = ifelse(rank %in% c("kingdom", "phylum", "class", "order", "family", "genus", "species"), "", subspecies))
# Save intermediate results (0) -------------------------------------------
saveRDS(taxonomy, "data-raw/taxonomy0.rds")
# Add missing and fix old taxonomic entries -------------------------------
# this part will make sure that the whole taxonomy of every included species exists, so no missing genera, classes, etc.
current_gbif <- taxonomy_gbif.bak %>%
filter(is.na(acceptedNameUsageID)) %>%
mutate(
taxonID = as.character(taxonID),
parentNameUsageID = as.character(parentNameUsageID)
)
# add missing kingdoms
taxonomy_all_missing <- taxonomy %>%
filter(kingdom != "") %>%
distinct(kingdom) %>%
mutate(
fullname = kingdom,
rank = "kingdom"
) %>%
filter(!paste(kingdom, rank) %in% paste(taxonomy$kingdom, taxonomy$rank)) %>%
left_join(
current_gbif %>%
select(kingdom, rank = taxonRank, ref = scientificNameAuthorship, gbif = taxonID, gbif_parent = parentNameUsageID),
by = c("kingdom", "rank")
) %>%
mutate(source = ifelse(!is.na(gbif), "GBIF", "manually added"),
status = ifelse(!is.na(gbif), "accepted", "unknown"))
# 2 = phylum ... 6 = genus
for (i in 2:6) {
i_name <- colnames(taxonomy)[i + 1]
message("Adding missing: ", i_name, "... ", appendLF = FALSE)
to_add <- taxonomy %>%
filter(.[[i + 1]] != "") %>%
distinct(kingdom, .[[i + 1]], .keep_all = TRUE) %>%
select(kingdom:(i + 1)) %>%
mutate(
fullname = .[[ncol(.)]],
rank = i_name
) %>%
filter(!paste(kingdom, .[[ncol(.) - 2]], rank) %in% paste(taxonomy$kingdom, taxonomy[[i + 1]], taxonomy$rank)) %>%
# get GBIF identifier where available
left_join(
current_gbif %>%
select(kingdom, all_of(i_name), rank = taxonRank, ref = scientificNameAuthorship, gbif = taxonID, gbif_parent = parentNameUsageID),
by = c("kingdom", "rank", i_name)
) %>%
mutate(source = ifelse(!is.na(gbif), "GBIF", "manually added"),
status = ifelse(!is.na(gbif), "accepted", "unknown"))
message("n = ", nrow(to_add))
taxonomy_all_missing <- taxonomy_all_missing %>%
bind_rows(to_add)
}
taxonomy_all_missing %>% View()
taxonomy <- taxonomy %>%
bind_rows(taxonomy_all_missing)
# fix for duplicate fullnames within a kingdom (such as Nitrospira which is the name of the genus AND its class)
taxonomy <- taxonomy %>%
mutate(
rank_index = case_when(
rank == "subspecies" ~ 1,
rank == "species" ~ 2,
rank == "genus" ~ 3,
rank == "family" ~ 4,
rank == "order" ~ 5,
rank == "class" ~ 6,
TRUE ~ 7
),
fullname_rank = paste0(fullname, " {", rank, "}")
) %>%
arrange(kingdom, fullname, rank_index) %>%
group_by(kingdom, fullname) %>%
mutate(fullname = if_else(row_number() > 1, fullname_rank, fullname)) %>%
ungroup() %>%
select(-fullname_rank, -rank_index) %>%
arrange(fullname)
# now also add missing species that have subspecies (requires combination with genus)
missing_species <- taxonomy %>%
filter(species != "") %>%
distinct(kingdom, genus, species, .keep_all = TRUE) %>%
select(kingdom:species) %>%
mutate(
fullname = paste(genus, species),
rank = "species"
) %>%
filter(!paste(kingdom, genus, species, rank) %in% paste(taxonomy$kingdom, taxonomy$genus, taxonomy$species, taxonomy$rank)) %>%
# get GBIF identifier where available
left_join(
current_gbif %>%
select(kingdom, genus, species = specificEpithet, rank = taxonRank, ref = scientificNameAuthorship, gbif = taxonID, gbif_parent = parentNameUsageID),
by = c("kingdom", "rank", "genus", "species")
) %>%
mutate(source = ifelse(!is.na(gbif), "GBIF", "manually added"),
status = ifelse(!is.na(gbif), "accepted", "unknown"))
taxonomy <- taxonomy %>%
bind_rows(missing_species)
# remove NAs from taxonomy again, and keep unique full names
taxonomy <- taxonomy %>%
mutate(across(kingdom:subspecies, function(x) ifelse(is.na(x), "", x))) %>%
arrange(kingdom, fullname, ref) %>%
distinct(kingdom, fullname, .keep_all = TRUE) %>%
filter(kingdom != "")
# Save intermediate results (1) -------------------------------------------
saveRDS(taxonomy, "data-raw/taxonomy1.rds")
# Get previously manually added entries -----------------------------------
manually_added <- AMR::microorganisms %>%
filter(source == "manually added",
!paste(kingdom, fullname) %in% paste(taxonomy$kingdom, taxonomy$fullname),
!rank %in% c("kingdom", "phylum", "class", "order", "family")) %>%
select(fullname:subspecies, ref, source, rank)
# get latest taxonomy for those entries
for (g in unique(manually_added$genus[manually_added$genus != "" & manually_added$genus %in% taxonomy$genus])) {
manually_added$family[which(manually_added$genus == g)] <- taxonomy$family[which(taxonomy$genus == g & is.na(taxonomy$lpsn))][1]
}
for (f in unique(manually_added$family[manually_added$family != "" & manually_added$family %in% taxonomy$family])) {
manually_added$order[which(manually_added$family == f)] <- taxonomy$order[which(taxonomy$family == f & is.na(taxonomy$lpsn))][1]
}
for (o in unique(manually_added$order[manually_added$order != "" & manually_added$order %in% taxonomy$order])) {
manually_added$class[which(manually_added$order == o)] <- taxonomy$class[which(taxonomy$order == o & is.na(taxonomy$lpsn))][1]
}
for (cc in unique(manually_added$class[manually_added$class != "" & manually_added$class %in% taxonomy$class])) {
manually_added$phylum[which(manually_added$class == cc)] <- taxonomy$phylum[which(taxonomy$class == cc & is.na(taxonomy$lpsn))][1]
}
for (p in unique(manually_added$phylum[manually_added$phylum != "" & manually_added$phylum %in% taxonomy$phylum])) {
manually_added$kingdom[which(manually_added$phylum == p)] <- taxonomy$kingdom[which(taxonomy$phylum == p & is.na(taxonomy$lpsn))][1]
}
manually_added <- manually_added %>%
mutate(
status = "unknown",
rank = ifelse(fullname %like% "unknown", "(unknown rank)", rank)
)
manually_added %>% View()
# these are now included in the new taxonomy, check them
manually_added %>% filter(fullname %in% taxonomy$fullname)
taxonomy <- taxonomy %>%
# here also the 'unknowns' are added, such as "(unknown fungus)"
bind_rows(manually_added) %>%
arrange(fullname)
table(taxonomy$rank, useNA = "always")
# Get LPSN data for records missing from `taxonomy_lpsn` ------------------
# Weirdly enough, some LPSN records were lacking from `taxonomy_lpsn`,
# such as family Thiotrichaceae and its order Thiotrichales. When running
# get_lpsn_and_author("family", "Thiotrichaceae") you do get a result, vs. taxonomy_lpsn %>% filter(family == "Thiotrichaceae").
# So check every non-LPSN records from the kingdom of Bacteria and add it
gbif_bacteria <- which(taxonomy$kingdom == "Bacteria" & taxonomy$source == "GBIF" & taxonomy$rank %in% c("phylum", "class", "order", "family"))
added <- 0
pb <- progress_bar$new(total = length(gbif_bacteria), format = "[:bar] :current/:total :eta")
for (record in gbif_bacteria) {
pb$tick()
lpsn <- get_lpsn_and_author(rank = taxonomy$rank[record],
name = taxonomy$fullname[record])
if (is.na(lpsn["lpsn"])) {
next
} else {
added <- added + 1
taxonomy$source[record] <- "LPSN"
taxonomy$lpsn[record] <- unname(lpsn["lpsn"])
taxonomy$ref[record] <- unname(lpsn["ref"])
taxonomy$status[record] <- unname(lpsn["status"])
}
}
warnings()
message(added, " GBIF records altered to latest LPSN")
taxbak <- taxonomy
saveRDS(taxonomy, "data-raw/taxonomy0b.rds")