diff --git a/DESCRIPTION b/DESCRIPTION
index 436912be3..46f0fda36 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,5 +1,5 @@
 Package: AMR
-Version: 2.1.1.9155
+Version: 2.1.1.9156
 Date: 2025-02-23
 Title: Antimicrobial Resistance Data Analysis
 Description: Functions to simplify and standardise antimicrobial resistance (AMR)
diff --git a/NEWS.md b/NEWS.md
index 434953dbb..ab955619a 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# AMR 2.1.1.9155
+# AMR 2.1.1.9156
 
 *(this beta version will eventually become v3.0. We're happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using [the instructions here](https://msberends.github.io/AMR/#latest-development-version).)*
 
diff --git a/PythonPackage/AMR/AMR.egg-info/PKG-INFO b/PythonPackage/AMR/AMR.egg-info/PKG-INFO
index 7e2f2d1fd..8ae386eaf 100644
--- a/PythonPackage/AMR/AMR.egg-info/PKG-INFO
+++ b/PythonPackage/AMR/AMR.egg-info/PKG-INFO
@@ -1,6 +1,6 @@
 Metadata-Version: 2.2
 Name: AMR
-Version: 2.1.1.9155
+Version: 2.1.1.9156
 Summary: A Python wrapper for the AMR R package
 Home-page: https://github.com/msberends/AMR
 Author: Matthijs Berends
diff --git a/PythonPackage/AMR/dist/AMR-2.1.1.9155-py3-none-any.whl b/PythonPackage/AMR/dist/AMR-2.1.1.9156-py3-none-any.whl
similarity index 85%
rename from PythonPackage/AMR/dist/AMR-2.1.1.9155-py3-none-any.whl
rename to PythonPackage/AMR/dist/AMR-2.1.1.9156-py3-none-any.whl
index 42baddfc3..b5ad7360c 100644
Binary files a/PythonPackage/AMR/dist/AMR-2.1.1.9155-py3-none-any.whl and b/PythonPackage/AMR/dist/AMR-2.1.1.9156-py3-none-any.whl differ
diff --git a/PythonPackage/AMR/dist/amr-2.1.1.9155.tar.gz b/PythonPackage/AMR/dist/amr-2.1.1.9155.tar.gz
deleted file mode 100644
index 5655fa851..000000000
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diff --git a/PythonPackage/AMR/dist/amr-2.1.1.9156.tar.gz b/PythonPackage/AMR/dist/amr-2.1.1.9156.tar.gz
new file mode 100644
index 000000000..1c47897e5
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diff --git a/PythonPackage/AMR/setup.py b/PythonPackage/AMR/setup.py
index 7caaa3f0a..0e25bbdcf 100644
--- a/PythonPackage/AMR/setup.py
+++ b/PythonPackage/AMR/setup.py
@@ -2,7 +2,7 @@ from setuptools import setup, find_packages
 
 setup(
     name='AMR',
-    version='2.1.1.9155',
+    version='2.1.1.9156',
     packages=find_packages(),
     install_requires=[
         'rpy2',
diff --git a/R/antibiogram.R b/R/antibiogram.R
index b9087166c..0afd42cee 100755
--- a/R/antibiogram.R
+++ b/R/antibiogram.R
@@ -1245,7 +1245,7 @@ knit_print.antibiogram <- function(x, italicise = TRUE, na = getOption("knitr.ka
   meet_criteria(italicise, allow_class = "logical", has_length = 1)
   meet_criteria(na, allow_class = "character", has_length = 1, allow_NA = TRUE)
   
-  if (isTRUE(italicise) && "mo" %in% colnames(attributes(x)$long_numeric)) {
+  if (!isTRUE(attributes(x)$wisca) && isTRUE(italicise) && "mo" %in% colnames(attributes(x)$long_numeric)) {
     # make all microorganism names italic, according to nomenclature
     names_col <- ifelse(isTRUE(attributes(x)$has_syndromic_group), 2, 1)
     x[[names_col]] <- italicise_taxonomy(x[[names_col]], type = "markdown")
diff --git a/data-raw/gpt_training_text_v2.1.1.9155.txt b/data-raw/gpt_training_text_v2.1.1.9156.txt
similarity index 99%
rename from data-raw/gpt_training_text_v2.1.1.9155.txt
rename to data-raw/gpt_training_text_v2.1.1.9156.txt
index ccdfd9f03..6f42d5e7b 100644
--- a/data-raw/gpt_training_text_v2.1.1.9155.txt
+++ b/data-raw/gpt_training_text_v2.1.1.9156.txt
@@ -1,6 +1,6 @@
 This knowledge base contains all context you must know about the AMR package for R. You are a GPT trained to be an assistant for the AMR package in R. You are an incredible R specialist, especially trained in this package and in the tidyverse.
 
-First and foremost, you are trained on version 2.1.1.9155. Remember this whenever someone asks which AMR package version you’re at.
+First and foremost, you are trained on version 2.1.1.9156. Remember this whenever someone asks which AMR package version you’re at.
 
 Below are the contents of the  file, the  file, and all the  files (documentation) in the package. Every file content is split using 100 hypens.
 ----------------------------------------------------------------------------------------------------