diff --git a/.travis.yml b/.travis.yml
index 5edd71c2..e875754d 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -1,8 +1,8 @@
 sudo: required
 language: python
 python:
-  - "3.5"
   - "3.6"
+  - "3.7"
 
 env:
   matrix:
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 1b1cba7f..60684763 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,3 +1,7 @@
+# Version 0.7.2
+
+* Fixed `KeyError` issue with later versions of pandas (#115, thanks @javiertognarelli).
+
 # Version 0.7.1
 
 * Fix a bug so that the Sequence column in resfinder.tsv uses the isolate sequence instead of the reference sequence
diff --git a/README.md b/README.md
index eeb8e950..dec7b1db 100644
--- a/README.md
+++ b/README.md
@@ -232,6 +232,8 @@ staramr db restore-default
 * Git
 * MLST
 
+**Note: if you wish to use Python 3.5 you will have to install BioPython <= 1.76 as later versions no longer support Python 3.5.**
+
 # Input
 
 ## List of genes to exclude
diff --git a/staramr/__init__.py b/staramr/__init__.py
index f0788a87..fb9b668f 100644
--- a/staramr/__init__.py
+++ b/staramr/__init__.py
@@ -1 +1 @@
-__version__ = '0.7.1'
+__version__ = '0.7.2'
diff --git a/staramr/results/AMRDetectionSummary.py b/staramr/results/AMRDetectionSummary.py
index 885d9a12..3ff6d25c 100644
--- a/staramr/results/AMRDetectionSummary.py
+++ b/staramr/results/AMRDetectionSummary.py
@@ -37,12 +37,12 @@ def __init__(self, files, resfinder_dataframe: DataFrame, quality_module_datafra
 
     def _compile_results(self, resistance_frame: DataFrame) -> DataFrame:
         df_summary = resistance_frame.sort_values(by=['Gene']).groupby(['Isolate ID']).aggregate(
-            lambda x: {'Gene': (self.SEPARATOR + ' ').join(x['Gene'])})
+            lambda x: {'Gene': (self.SEPARATOR + ' ').join(x.get('Gene'))})
         return df_summary[['Gene']]
 
     def _compile_plasmids(self, plasmid_frame: DataFrame) -> DataFrame:
         ds_summary = plasmid_frame.sort_values(by=['Gene']).groupby(['Isolate ID']).aggregate(
-            lambda x: {'Gene': (self.SEPARATOR + ' ').join(x['Gene'])})
+            lambda x: {'Gene': (self.SEPARATOR + ' ').join(x.get('Gene'))})
 
         ds_frame = ds_summary[['Gene']]
 
diff --git a/staramr/results/AMRDetectionSummaryResistance.py b/staramr/results/AMRDetectionSummaryResistance.py
index 73944347..f4a5ae3d 100644
--- a/staramr/results/AMRDetectionSummaryResistance.py
+++ b/staramr/results/AMRDetectionSummaryResistance.py
@@ -22,7 +22,7 @@ def __init__(self, files, resfinder_dataframe, quality_module_dataframe,pointfin
         super().__init__(files, resfinder_dataframe,quality_module_dataframe, pointfinder_dataframe, plasmidfinder_dataframe, mlst_dataframe)
 
     def _aggregate_gene_phenotype(self, dataframe):
-        flattened_phenotype_list = [y.strip() for x in dataframe['Predicted Phenotype'].tolist() for y in
+        flattened_phenotype_list = [y.strip() for x in dataframe.get('Predicted Phenotype').tolist() for y in
                                     x.split(self.SEPARATOR)]
         uniq_phenotype = OrderedDict.fromkeys(flattened_phenotype_list)