diff --git a/midas2/__init__.py b/midas2/__init__.py
index ae7044e8d11..960ff7b30aa 100644
--- a/midas2/__init__.py
+++ b/midas2/__init__.py
@@ -3,4 +3,4 @@
 import sys
 assert sys.version_info >= (3, 7), "Python version >= 3.7 is required."
 
-version = "1.0.1"
+version = "1.0.2"
\ No newline at end of file
diff --git a/midas2/models/midasdb.py b/midas2/models/midasdb.py
index 9ad1b202e7f..8b79e155afc 100644
--- a/midas2/models/midasdb.py
+++ b/midas2/models/midasdb.py
@@ -174,14 +174,15 @@ def fetch_tarball(self, filename, list_of_species):
                 _fetched_files = [_fetch_file_from_s3(args_list[0])]
 
             fetched_files = dict(zip(list_of_species, _fetched_files))
-            for species_id in list_of_species:
-                fetched_filenames = tarball_mapping[filename]
-                for _filename in fetched_filenames:
-                    genome_id = self.get_repgenome_id(species_id)
-                    _fetched_file = self.get_target_layout(_filename, False, species_id, genome_id)
-                    md5_fetched = file_md5sum(_fetched_file)
-                    md5_lookup = self.md5sum[filename][species_id][_filename]
-                    assert md5_fetched == md5_lookup, f"Error for downloading {_fetched_file} from {filename}. Please delete the folder and redownload."
+            if self.has_md5sum:
+                for species_id in list_of_species:
+                    fetched_filenames = tarball_mapping[filename]
+                    for _filename in fetched_filenames:
+                        genome_id = self.get_repgenome_id(species_id)
+                        _fetched_file = self.get_target_layout(_filename, False, species_id, genome_id)
+                        md5_fetched = file_md5sum(_fetched_file)
+                        md5_lookup = self.md5sum[filename][species_id][_filename]
+                        assert md5_fetched == md5_lookup, f"Error for downloading {_fetched_file} from {filename}. Please delete the folder and redownload."
             return fetched_files
 
         # Single Copy Marker Genes DB
@@ -189,33 +190,36 @@ def fetch_tarball(self, filename, list_of_species):
             fetched_dir = _fetch_file_from_s3(self.construct_file_tuple(filename))
             fetched_files = self.get_target_layout("marker_db", False)
             fetched_files = dict(zip(MARKER_FILE_EXTS, fetched_files))
-            for _ in MARKER_FILE_EXTS:
-                _fetched_file = fetched_files[_]
-                md5_fetched = file_md5sum(_fetched_file)
-                md5_lookup = self.md5sum[filename][_]
-                assert md5_fetched == md5_lookup, f"Error for downloadding {_fetched_file} from {filename}. Please delete the folder and redownload."
+            if self.has_md5sum:
+                for _ in MARKER_FILE_EXTS:
+                    _fetched_file = fetched_files[_]
+                    md5_fetched = file_md5sum(_fetched_file)
+                    md5_lookup = self.md5sum[filename][_]
+                    assert md5_fetched == md5_lookup, f"Error for downloadding {_fetched_file} from {filename}. Please delete the folder and redownload."
             return {filename: fetched_dir}
 
         if filename == "markerdb_models":
             fetched_dir = _fetch_file_from_s3(self.construct_file_tuple(filename))
-            for _ in tarball_mapping[filename]:
-                _fetched_file = self.get_target_layout(f"marker_db_{_}", False)
-                md5_fetched = file_md5sum(_fetched_file)
-                md5_lookup = self.md5sum[filename][_]
-                assert md5_fetched == md5_lookup, f"Error for downloadding {_fetched_file} from {filename}. Please delete the folder and redownload."
+            if self.has_md5sum:
+                for _ in tarball_mapping[filename]:
+                    _fetched_file = self.get_target_layout(f"marker_db_{_}", False)
+                    md5_fetched = file_md5sum(_fetched_file)
+                    md5_lookup = self.md5sum[filename][_]
+                    assert md5_fetched == md5_lookup, f"Error for downloadding {_fetched_file} from {filename}. Please delete the folder and redownload."
             return {filename: fetched_dir}
 
         # Chunks
         if filename == "chunks":
             fetched_dir = _fetch_file_from_s3(self.construct_file_tuple(filename))
-            fetched_filenames = tarball_mapping[filename]
-            rep_genomes = self.uhgg.representatives
-            for sid, gid in rep_genomes.items():
-                for i, ct in enumerate(fetched_filenames):
-                    _fetched_file = self.get_target_layout(ct, False, sid, gid, DEFAULT_CHUNKS[i])
-                    md5_fetched = file_md5sum(_fetched_file)
-                    md5_lookup = self.md5sum[filename][sid][ct]
-                    assert md5_fetched == md5_lookup, f"Error for downloadding {_fetched_file} from {filename}. Please delete the folder and redownload."
+            if self.has_md5sum:
+                fetched_filenames = tarball_mapping[filename]
+                rep_genomes = self.uhgg.representatives
+                for sid, gid in rep_genomes.items():
+                    for i, ct in enumerate(fetched_filenames):
+                        _fetched_file = self.get_target_layout(ct, False, sid, gid, DEFAULT_CHUNKS[i])
+                        md5_fetched = file_md5sum(_fetched_file)
+                        md5_lookup = self.md5sum[filename][sid][ct]
+                        assert md5_fetched == md5_lookup, f"Error for downloadding {_fetched_file} from {filename}. Please delete the folder and redownload."
             return {filename: fetched_dir}
 
         # Single File: key of the tarball layout
diff --git a/midas2/subcommands/build_bowtie2db.py b/midas2/subcommands/build_bowtie2db.py
index 26db8a35991..90526943ca4 100644
--- a/midas2/subcommands/build_bowtie2db.py
+++ b/midas2/subcommands/build_bowtie2db.py
@@ -89,7 +89,7 @@ def build_bowtie2db(args):
 
         if args.bt2_indexes_name == "repgenomes":
             tsprint(f"MIDAS2::build_bowtie2_repgenomes_indexes::start")
-            midas_db.fetch_files("representative_genome", species_ids_of_interest)
+            midas_db.fetch_files("repgenome", species_ids_of_interest)
             contigs_files = midas_db.fetch_files("representative_genome", species_ids_of_interest)
             tsprint(contigs_files)
             build_bowtie2_db(args.bt2_indexes_dir, args.bt2_indexes_name, contigs_files, args.num_cores)