diff --git a/q2_vsearch/_cluster_sequences.py b/q2_vsearch/_cluster_sequences.py
index a8cbafa..8419bae 100644
--- a/q2_vsearch/_cluster_sequences.py
+++ b/q2_vsearch/_cluster_sequences.py
@@ -17,30 +17,47 @@
 from ._cluster_features import run_command
 
 
-def dereplicate_sequences(sequences: QIIME1DemuxDirFmt,
-                          derep_prefix: bool = False,
-                          min_seq_length: int = 1,
-                          min_unique_size: int = 1
-                          ) -> (biom.Table, DNAFASTAFormat):
+def dereplicate_sequences(
+    sequences: QIIME1DemuxDirFmt,
+    derep_prefix: bool = False,
+    min_seq_length: int = 1,
+    min_unique_size: int = 1,
+) -> (biom.Table, DNAFASTAFormat):
     dereplicated_sequences = DNAFASTAFormat()
+
     with tempfile.NamedTemporaryFile(mode='w+') as out_uc:
         seqs_fp = '%s/seqs.fna' % str(sequences)
-        cmd = ['vsearch',
-               '--derep_prefix' if derep_prefix else '--derep_fulllength',
-               seqs_fp,
-               '--output', str(dereplicated_sequences),
-               '--relabel_sha1', '--relabel_keep',
-               '--uc', out_uc.name,
-               '--xsize',
-               '--minseqlength', str(min_seq_length),
-               '--minuniquesize', str(min_unique_size),
-               '--fasta_width', '0']
+        cmd = [
+            'vsearch',
+            '--derep_prefix' if derep_prefix else '--derep_fulllength',
+            seqs_fp,
+            '--output', str(dereplicated_sequences),
+            '--relabel_sha1',
+            '--relabel_keep',
+            '--uc', out_uc.name,
+            '--xsize',
+            '--minseqlength', str(min_seq_length),
+            '--minuniquesize', str(min_unique_size),
+            '--fasta_width', '0'
+        ]
         run_command(cmd)
+
         out_uc.seek(0)
         table = parse_uc(out_uc)
-    id_map = {e.metadata['description']: e.metadata['id']
-              for e in skbio.io.read(str(dereplicated_sequences),
-                                     constructor=skbio.DNA,
-                                     format='fasta')}
-    table.update_ids(id_map=id_map, axis='observation')
+
+    id_map = {
+        e.metadata['description']: e.metadata['id'] for e in skbio.io.read(
+            str(dereplicated_sequences),
+            constructor=skbio.DNA,
+            format='fasta'
+        )
+    }
+
+    # keep only sequence ids that are in the dereplicated sequences
+    dereplicated_ids = list(id_map.keys())
+    table = table.filter(dereplicated_ids, axis='observation')
+
+    # rename feature ids to sha1 sequence hashes
+    table = table.update_ids(id_map=id_map, axis='observation')
+
     return table, dereplicated_sequences
diff --git a/q2_vsearch/tests/test_cluster_sequences.py b/q2_vsearch/tests/test_cluster_sequences.py
index 50395b0..b6840cc 100644
--- a/q2_vsearch/tests/test_cluster_sequences.py
+++ b/q2_vsearch/tests/test_cluster_sequences.py
@@ -95,6 +95,56 @@ def test_dereplicate_sequences_min_length(self):
                           'description': 's2_42'})]
         self.assertEqual(obs_seqs, exp_seqs)
 
+    def test_dereplicate_sequences_min_unique_size(self):
+        input_sequences_fp = self.get_data_path('seqs-1')
+        input_sequences = QIIME1DemuxDirFmt(input_sequences_fp, 'r')
+
+        exp_table = biom.Table(
+            np.array([[2, 1], [0, 2]]),
+            [
+                '4574b947a0159c0da35a1f30f989681a1d9f64ef',
+                '16a1263bde4f2f99422630d1bb87935c4236d1ba'
+            ],
+            ['sample1', 's2']
+        )
+
+        with redirected_stdio(stderr=os.devnull):
+            obs_table, obs_sequences = dereplicate_sequences(
+                sequences=input_sequences,
+                min_unique_size=2
+            )
+
+        # order of identifiers is important for biom.Table equality
+        obs_table = obs_table.sort_order(
+            exp_table.ids(axis='observation'), axis='observation'
+        )
+        self.assertEqual(obs_table, exp_table)
+
+        # sequences are reverse-sorted by abundance in output
+        # sequence s2_2 is missing from output because it has an abundance of 1
+        obs_seqs = list(
+            skbio.io.read(
+                str(obs_sequences), constructor=skbio.DNA, format='fasta'
+            )
+        )
+        exp_seqs = [
+            skbio.DNA(
+                'AAACGTTACGGTTAACTATACATGCAGAAGACTAATCGG',
+                metadata={
+                    'id': ('4574b947a0159c0da35a1f30f989681a1d9f64ef'),
+                    'description': 'sample1_1'
+                }
+            ),
+            skbio.DNA(
+                'ACGTACGTACGTACGTACGTACGTACGTACGTGCATGGTGCGACCG',
+                metadata={
+                    'id': ('16a1263bde4f2f99422630d1bb87935c4236d1ba'),
+                    'description': 's2_42'
+                }
+            )
+        ]
+        self.assertEqual(obs_seqs, exp_seqs)
+
     def test_dereplicate_sequences_underscores_in_ids(self):
         input_sequences_fp = self.get_data_path('seqs-2')
         input_sequences = QIIME1DemuxDirFmt(input_sequences_fp, 'r')