diff --git a/Pipfile b/Pipfile
index f1970c17c..9429ca1b8 100644
--- a/Pipfile
+++ b/Pipfile
@@ -28,6 +28,7 @@ coverage = "==7.2.2"
 pytest-cov = "==4.0.0"
 ipython = "==8.12.0"
 pytest-asyncio = "==0.21.0"
+rpy2 = "==3.5.10"
 
 [requires]
 python_version = "3.11"
diff --git a/Pipfile.lock b/Pipfile.lock
index 99f385408..8d82498c3 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "11e65d9c76894b9062b2cc30eec1a2a4901e589848352aee5081772158b88a10"
+            "sha256": "acc2b553bf31a96eaa3187ee8354aa7686ff7b139c7ae1c73502fa77f252340f"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -1173,78 +1173,78 @@
         },
         "websockets": {
             "hashes": [
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-                "sha256:19d638549c470f5fd3b67b52b2a08f2edba5a04e05323a706937e35f5f19d056",
-                "sha256:1d5bc68cec8269b4b52ab6d1d8690f56dba35f7bcb83a5487518406300f81cf1",
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-                "sha256:269d33f1573a31130da9afd63a2558f60131522d3fe86d0aa2d1612ad065d27c",
-                "sha256:269e3547877a6ca55f62acdf291b256b01bc3469535e892af36afd3e17de284a",
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-            "version": "==11.0"
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+            "version": "==11.0.1"
         },
         "xmltodict": {
             "hashes": [
@@ -1366,6 +1366,75 @@
             ],
             "version": "==0.2.0"
         },
+        "cffi": {
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+                "sha256:470c103ae716238bbe698d67ad020e1db9d9dba34fa5a899b5e21577e6d52ed2",
+                "sha256:4f2c9f67e9821cad2e5f480bc8d83b8742896f1242dba247911072d4fa94c192",
+                "sha256:50a74364d85fd319352182ef59c5c790484a336f6db772c1a9231f1c3ed0cbd7",
+                "sha256:54a2db7b78338edd780e7ef7f9f6c442500fb0d41a5a4ea24fff1c929d5af585",
+                "sha256:5635bd9cb9731e6d4a1132a498dd34f764034a8ce60cef4f5319c0541159392f",
+                "sha256:59c0b02d0a6c384d453fece7566d1c7e6b7bae4fc5874ef2ef46d56776d61c9e",
+                "sha256:5d598b938678ebf3c67377cdd45e09d431369c3b1a5b331058c338e201f12b27",
+                "sha256:5df2768244d19ab7f60546d0c7c63ce1581f7af8b5de3eb3004b9b6fc8a9f84b",
+                "sha256:5ef34d190326c3b1f822a5b7a45f6c4535e2f47ed06fec77d3d799c450b2651e",
+                "sha256:6975a3fac6bc83c4a65c9f9fcab9e47019a11d3d2cf7f3c0d03431bf145a941e",
+                "sha256:6c9a799e985904922a4d207a94eae35c78ebae90e128f0c4e521ce339396be9d",
+                "sha256:70df4e3b545a17496c9b3f41f5115e69a4f2e77e94e1d2a8e1070bc0c38c8a3c",
+                "sha256:7473e861101c9e72452f9bf8acb984947aa1661a7704553a9f6e4baa5ba64415",
+                "sha256:8102eaf27e1e448db915d08afa8b41d6c7ca7a04b7d73af6514df10a3e74bd82",
+                "sha256:87c450779d0914f2861b8526e035c5e6da0a3199d8f1add1a665e1cbc6fc6d02",
+                "sha256:8b7ee99e510d7b66cdb6c593f21c043c248537a32e0bedf02e01e9553a172314",
+                "sha256:91fc98adde3d7881af9b59ed0294046f3806221863722ba7d8d120c575314325",
+                "sha256:94411f22c3985acaec6f83c6df553f2dbe17b698cc7f8ae751ff2237d96b9e3c",
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+                "sha256:a0b71b1b8fbf2b96e41c4d990244165e2c9be83d54962a9a1d118fd8657d2045",
+                "sha256:a0f100c8912c114ff53e1202d0078b425bee3649ae34d7b070e9697f93c5d52d",
+                "sha256:a591fe9e525846e4d154205572a029f653ada1a78b93697f3b5a8f1f2bc055b9",
+                "sha256:a5c84c68147988265e60416b57fc83425a78058853509c1b0629c180094904a5",
+                "sha256:a66d3508133af6e8548451b25058d5812812ec3798c886bf38ed24a98216fab2",
+                "sha256:a8c4917bd7ad33e8eb21e9a5bbba979b49d9a97acb3a803092cbc1133e20343c",
+                "sha256:b3bbeb01c2b273cca1e1e0c5df57f12dce9a4dd331b4fa1635b8bec26350bde3",
+                "sha256:cba9d6b9a7d64d4bd46167096fc9d2f835e25d7e4c121fb2ddfc6528fb0413b2",
+                "sha256:cc4d65aeeaa04136a12677d3dd0b1c0c94dc43abac5860ab33cceb42b801c1e8",
+                "sha256:ce4bcc037df4fc5e3d184794f27bdaab018943698f4ca31630bc7f84a7b69c6d",
+                "sha256:cec7d9412a9102bdc577382c3929b337320c4c4c4849f2c5cdd14d7368c5562d",
+                "sha256:d400bfb9a37b1351253cb402671cea7e89bdecc294e8016a707f6d1d8ac934f9",
+                "sha256:d61f4695e6c866a23a21acab0509af1cdfd2c013cf256bbf5b6b5e2695827162",
+                "sha256:db0fbb9c62743ce59a9ff687eb5f4afbe77e5e8403d6697f7446e5f609976f76",
+                "sha256:dd86c085fae2efd48ac91dd7ccffcfc0571387fe1193d33b6394db7ef31fe2a4",
+                "sha256:e00b098126fd45523dd056d2efba6c5a63b71ffe9f2bbe1a4fe1716e1d0c331e",
+                "sha256:e229a521186c75c8ad9490854fd8bbdd9a0c9aa3a524326b55be83b54d4e0ad9",
+                "sha256:e263d77ee3dd201c3a142934a086a4450861778baaeeb45db4591ef65550b0a6",
+                "sha256:ed9cb427ba5504c1dc15ede7d516b84757c3e3d7868ccc85121d9310d27eed0b",
+                "sha256:fa6693661a4c91757f4412306191b6dc88c1703f780c8234035eac011922bc01",
+                "sha256:fcd131dd944808b5bdb38e6f5b53013c5aa4f334c5cad0c72742f6eba4b73db0"
+            ],
+            "version": "==1.15.1"
+        },
         "coverage": {
             "hashes": [
                 "sha256:006ed5582e9cbc8115d2e22d6d2144a0725db542f654d9d4fda86793832f873d",
@@ -1462,6 +1531,70 @@
             "markers": "python_version >= '3.6'",
             "version": "==0.18.2"
         },
+        "jinja2": {
+            "hashes": [
+                "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852",
+                "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==3.1.2"
+        },
+        "markupsafe": {
+            "hashes": [
+                "sha256:0576fe974b40a400449768941d5d0858cc624e3249dfd1e0c33674e5c7ca7aed",
+                "sha256:085fd3201e7b12809f9e6e9bc1e5c96a368c8523fad5afb02afe3c051ae4afcc",
+                "sha256:090376d812fb6ac5f171e5938e82e7f2d7adc2b629101cec0db8b267815c85e2",
+                "sha256:0b462104ba25f1ac006fdab8b6a01ebbfbce9ed37fd37fd4acd70c67c973e460",
+                "sha256:137678c63c977754abe9086a3ec011e8fd985ab90631145dfb9294ad09c102a7",
+                "sha256:1bea30e9bf331f3fef67e0a3877b2288593c98a21ccb2cf29b74c581a4eb3af0",
+                "sha256:22152d00bf4a9c7c83960521fc558f55a1adbc0631fbb00a9471e097b19d72e1",
+                "sha256:22731d79ed2eb25059ae3df1dfc9cb1546691cc41f4e3130fe6bfbc3ecbbecfa",
+                "sha256:2298c859cfc5463f1b64bd55cb3e602528db6fa0f3cfd568d3605c50678f8f03",
+                "sha256:28057e985dace2f478e042eaa15606c7efccb700797660629da387eb289b9323",
+                "sha256:2e7821bffe00aa6bd07a23913b7f4e01328c3d5cc0b40b36c0bd81d362faeb65",
+                "sha256:2ec4f2d48ae59bbb9d1f9d7efb9236ab81429a764dedca114f5fdabbc3788013",
+                "sha256:340bea174e9761308703ae988e982005aedf427de816d1afe98147668cc03036",
+                "sha256:40627dcf047dadb22cd25ea7ecfe9cbf3bbbad0482ee5920b582f3809c97654f",
+                "sha256:40dfd3fefbef579ee058f139733ac336312663c6706d1163b82b3003fb1925c4",
+                "sha256:4cf06cdc1dda95223e9d2d3c58d3b178aa5dacb35ee7e3bbac10e4e1faacb419",
+                "sha256:50c42830a633fa0cf9e7d27664637532791bfc31c731a87b202d2d8ac40c3ea2",
+                "sha256:55f44b440d491028addb3b88f72207d71eeebfb7b5dbf0643f7c023ae1fba619",
+                "sha256:608e7073dfa9e38a85d38474c082d4281f4ce276ac0010224eaba11e929dd53a",
+                "sha256:63ba06c9941e46fa389d389644e2d8225e0e3e5ebcc4ff1ea8506dce646f8c8a",
+                "sha256:65608c35bfb8a76763f37036547f7adfd09270fbdbf96608be2bead319728fcd",
+                "sha256:665a36ae6f8f20a4676b53224e33d456a6f5a72657d9c83c2aa00765072f31f7",
+                "sha256:6d6607f98fcf17e534162f0709aaad3ab7a96032723d8ac8750ffe17ae5a0666",
+                "sha256:7313ce6a199651c4ed9d7e4cfb4aa56fe923b1adf9af3b420ee14e6d9a73df65",
+                "sha256:7668b52e102d0ed87cb082380a7e2e1e78737ddecdde129acadb0eccc5423859",
+                "sha256:7df70907e00c970c60b9ef2938d894a9381f38e6b9db73c5be35e59d92e06625",
+                "sha256:7e007132af78ea9df29495dbf7b5824cb71648d7133cf7848a2a5dd00d36f9ff",
+                "sha256:835fb5e38fd89328e9c81067fd642b3593c33e1e17e2fdbf77f5676abb14a156",
+                "sha256:8bca7e26c1dd751236cfb0c6c72d4ad61d986e9a41bbf76cb445f69488b2a2bd",
+                "sha256:8db032bf0ce9022a8e41a22598eefc802314e81b879ae093f36ce9ddf39ab1ba",
+                "sha256:99625a92da8229df6d44335e6fcc558a5037dd0a760e11d84be2260e6f37002f",
+                "sha256:9cad97ab29dfc3f0249b483412c85c8ef4766d96cdf9dcf5a1e3caa3f3661cf1",
+                "sha256:a4abaec6ca3ad8660690236d11bfe28dfd707778e2442b45addd2f086d6ef094",
+                "sha256:a6e40afa7f45939ca356f348c8e23048e02cb109ced1eb8420961b2f40fb373a",
+                "sha256:a6f2fcca746e8d5910e18782f976489939d54a91f9411c32051b4aab2bd7c513",
+                "sha256:a806db027852538d2ad7555b203300173dd1b77ba116de92da9afbc3a3be3eed",
+                "sha256:abcabc8c2b26036d62d4c746381a6f7cf60aafcc653198ad678306986b09450d",
+                "sha256:b8526c6d437855442cdd3d87eede9c425c4445ea011ca38d937db299382e6fa3",
+                "sha256:bb06feb762bade6bf3c8b844462274db0c76acc95c52abe8dbed28ae3d44a147",
+                "sha256:c0a33bc9f02c2b17c3ea382f91b4db0e6cde90b63b296422a939886a7a80de1c",
+                "sha256:c4a549890a45f57f1ebf99c067a4ad0cb423a05544accaf2b065246827ed9603",
+                "sha256:ca244fa73f50a800cf8c3ebf7fd93149ec37f5cb9596aa8873ae2c1d23498601",
+                "sha256:cf877ab4ed6e302ec1d04952ca358b381a882fbd9d1b07cccbfd61783561f98a",
+                "sha256:d9d971ec1e79906046aa3ca266de79eac42f1dbf3612a05dc9368125952bd1a1",
+                "sha256:da25303d91526aac3672ee6d49a2f3db2d9502a4a60b55519feb1a4c7714e07d",
+                "sha256:e55e40ff0cc8cc5c07996915ad367fa47da6b3fc091fdadca7f5403239c5fec3",
+                "sha256:f03a532d7dee1bed20bc4884194a16160a2de9ffc6354b3878ec9682bb623c54",
+                "sha256:f1cd098434e83e656abf198f103a8207a8187c0fc110306691a2e94a78d0abb2",
+                "sha256:f2bfb563d0211ce16b63c7cb9395d2c682a23187f54c3d79bfec33e6705473c6",
+                "sha256:f8ffb705ffcf5ddd0e80b65ddf7bed7ee4f5a441ea7d3419e861a12eaf41af58"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==2.1.2"
+        },
         "matplotlib-inline": {
             "hashes": [
                 "sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311",
@@ -1472,11 +1605,11 @@
         },
         "packaging": {
             "hashes": [
-                "sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2",
-                "sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97"
+                "sha256:994793af429502c4ea2ebf6bf664629d07c1a9fe974af92966e4b8d2df7edc61",
+                "sha256:a392980d2b6cffa644431898be54b0045151319d1e7ec34f0cfed48767dd334f"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==23.0"
+            "version": "==23.1"
         },
         "parso": {
             "hashes": [
@@ -1531,13 +1664,20 @@
             ],
             "version": "==0.2.2"
         },
+        "pycparser": {
+            "hashes": [
+                "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9",
+                "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"
+            ],
+            "version": "==2.21"
+        },
         "pygments": {
             "hashes": [
-                "sha256:b3ed06a9e8ac9a9aae5a6f5dbe78a8a58655d17b43b93c078f094ddc476ae297",
-                "sha256:fa7bd7bd2771287c0de303af8bfdfc731f51bd2c6a47ab69d117138893b82717"
+                "sha256:77a3299119af881904cd5ecd1ac6a66214b6e9bed1f2db16993b54adede64094",
+                "sha256:f7e36cffc4c517fbc252861b9a6e4644ca0e5abadf9a113c72d1358ad09b9500"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==2.14.0"
+            "markers": "python_version >= '3.7'",
+            "version": "==2.15.0"
         },
         "pytest": {
             "hashes": [
@@ -1571,6 +1711,30 @@
             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
             "version": "==2.8.2"
         },
+        "pytz": {
+            "hashes": [
+                "sha256:1d8ce29db189191fb55338ee6d0387d82ab59f3d00eac103412d64e0ebd0c588",
+                "sha256:a151b3abb88eda1d4e34a9814df37de2a80e301e68ba0fd856fb9b46bfbbbffb"
+            ],
+            "version": "==2023.3"
+        },
+        "pytz-deprecation-shim": {
+            "hashes": [
+                "sha256:8314c9692a636c8eb3bda879b9f119e350e93223ae83e70e80c31675a0fdc1a6",
+                "sha256:af097bae1b616dde5c5744441e2ddc69e74dfdcb0c263129610d85b87445a59d"
+            ],
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
+            "version": "==0.1.0.post0"
+        },
+        "rpy2": {
+            "hashes": [
+                "sha256:798350c4faaebaccacf92c1c7e3619aa049e9bdaf3265822eefdeae1f3d7becb",
+                "sha256:a524d09a85ffda275985919bf1e1f850e83036fbadda5fd0c46959b486c21841",
+                "sha256:f81f0afb01e3c6f515c09573bc585c0e1c7e385ec81415ce0a62268c605ec7fc"
+            ],
+            "index": "pypi",
+            "version": "==3.5.10"
+        },
         "six": {
             "hashes": [
                 "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
@@ -1594,6 +1758,22 @@
             "markers": "python_version >= '3.7'",
             "version": "==5.9.0"
         },
+        "tzdata": {
+            "hashes": [
+                "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a",
+                "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==2023.3"
+        },
+        "tzlocal": {
+            "hashes": [
+                "sha256:3f21d09e1b2aa9f2dacca12da240ca37de3ba5237a93addfd6d593afe9073355",
+                "sha256:b44c4388f3d34f25862cfbb387578a4d70fec417649da694a132f628a23367e2"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==4.3"
+        },
         "wcwidth": {
             "hashes": [
                 "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e",
diff --git a/src/loaders/genome_collection/compute_genome_attribs.py b/src/loaders/genome_collection/compute_genome_attribs.py
index 635cbde29..b161ebaf7 100644
--- a/src/loaders/genome_collection/compute_genome_attribs.py
+++ b/src/loaders/genome_collection/compute_genome_attribs.py
@@ -56,15 +56,18 @@
 e.g. export GTDBTK_DATA_PATH=/global/cfs/cdirs/kbase/collections/libraries/gtdb_tk/release207_v2
 """
 import argparse
+import gzip
 import math
 import multiprocessing
 import os
+import shutil
 import subprocess
 import sys
 import time
 import uuid
 
 import pandas as pd
+from rpy2 import robjects
 
 from src.loaders.common import loader_common_names
 
@@ -272,14 +275,72 @@ def _prepare_tool(tool_name, work_dir, batch_number, size, node_id, genome_ids,
     return batch_dir, genome_meta
 
 
-def _run_microtrait(genome_id, fna_file, debug):
-    microtrait_result_dict = {'genome_id': genome_id, 'source_file': fna_file}
+def _get_r_list_element(r_list, element_name):
+    # retrieve the element from the R list
+    pos = r_list.names.index(element_name)
+    return r_list[pos]
 
-    # Load the microtrait package
-    # importr("microtrait")
-    # TODO: implement the Rscript to run microtrait, potentially an isolated Rscript and get rid of the rpy2 dependency
 
-    return microtrait_result_dict
+def _unpack_gz_file(gz_file):
+    # unpack the gz file
+
+    output_file_path = os.path.splitext(gz_file)[0]
+    if os.path.exists(output_file_path):
+        print(f'file {output_file_path} already exists. Skipping unpacking {gz_file}')
+        return output_file_path
+
+    print(f'unpacking {gz_file}')
+    with gzip.open(gz_file, 'rb') as f_in, open(output_file_path, 'wb') as f_out:
+        shutil.copyfileobj(f_in, f_out)
+
+    return output_file_path
+
+
+def _run_microtrait(genome_id, fna_file, batch_dir):
+    # run microtrait.extract_traits on the genome file
+    # https://github.com/ukaraoz/microtrait
+
+    # result files:
+    #   * An RDS file created by the microtrait.extract_traits function. The RDS files from all genomes can be
+    # used to build the trait matrices and hmm matrix.
+    #   * A genes_detected_table file (CSV format) retrieved from the result microtrait_result object returned by the
+    #   extract_traits function.
+
+    genome_dir = os.path.join(batch_dir, genome_id)
+    os.makedirs(genome_dir, exist_ok=True)
+
+    # Load the R script as an R function
+    r_script = """
+    library(microtrait)
+    extract_traits <- function(genome_file, out_dir) {
+      genome_file <- file.path(genome_file)
+      microtrait_result <- extract.traits(in_file = genome_file, out_dir = out_dir)
+      return(microtrait_result)
+    }
+    """
+    r_func = robjects.r(r_script)
+
+    remove_gz_file = False
+    if fna_file.endswith('.gz'):
+        remove_gz_file = True
+        fna_file = _unpack_gz_file(fna_file)
+    r_result = r_func(fna_file, genome_dir)
+
+    # retrieve genes_detected_table from microtrait_result and save it as a csv file
+    # genes_detected_table includes the following columns:
+    # gene_name, gene_len, hmm_name, gene_score, gene_from, gene_to, cov_gene, hmm_from, hmm_to, cov_domain
+    microtrait_result = _get_r_list_element(r_result, 'microtrait_result')
+    genes_detected_table = _get_r_list_element(microtrait_result, 'genes_detected_table')
+    data = dict()
+    for idx, name in enumerate(genes_detected_table.names):
+        data.update({name: list(genes_detected_table[idx])})
+    genes_detected_df = pd.DataFrame(data=data)
+    genes_detected_df.to_csv(os.path.join(genome_dir, 'genes_detected_table.csv'), index=False)
+
+    # remove the unpacked assembly file to save space
+    if remove_gz_file:
+        print(f'removing {fna_file}')
+        os.remove(fna_file)
 
 
 def gtdb_tk(genome_ids, work_dir, source_data_dir, debug, program_threads, batch_number,
@@ -354,14 +415,12 @@ def microtrait(genome_ids, work_dir, source_data_dir, debug, program_threads, no
     start = time.time()
 
     # RUN MicroTrait in parallel with multiprocessing
-    args_list = [(genome_id, genome_meta['source_file'], debug) for genome_id, genome_meta in genomes_meta.items()]
+    args_list = [(genome_id, genome_meta['source_file'], batch_dir) for genome_id, genome_meta in genomes_meta.items()]
     pool = multiprocessing.Pool(processes=program_threads)
-    results = pool.starmap(_run_microtrait, args_list)
+    pool.starmap(_run_microtrait, args_list)
     pool.close()
     pool.join()
 
-    # TODO process results from _run_microtrait
-
     end_time = time.time()
     print(
         f'Used {round((end_time - start) / 60, 2)} minutes to execute MicroTrait for {size} genomes')
diff --git a/src/loaders/jobs/taskfarmer/task_generator.py b/src/loaders/jobs/taskfarmer/task_generator.py
index acd4fb7be..1c2665214 100644
--- a/src/loaders/jobs/taskfarmer/task_generator.py
+++ b/src/loaders/jobs/taskfarmer/task_generator.py
@@ -49,11 +49,12 @@
 256 cores.
 '''
 
-TOOLS_AVAILABLE = ['gtdb_tk', 'checkm2']
+TOOLS_AVAILABLE = ['gtdb_tk', 'checkm2', 'microtrait']
 
 # estimated execution time (in minutes) for each tool to process a chunk of data
 TASK_META = {'checkm2': {'chunk_size': 5000, 'exe_time': 60},
-             'gtdb_tk': {'chunk_size': 1000, 'exe_time': 65}}
+             'gtdb_tk': {'chunk_size': 1000, 'exe_time': 65},
+             'microtrait': {'chunk_size': 5000, 'exe_time': 60}}
 NODE_TIME_LIMIT = 5  # hours  # TODO: automatically calculate this based on tool execution time and NODE_THREADS
 MAX_NODE_NUM = 100  # maximum number of nodes to use
 # The THREADS variable controls the number of parallel tasks per node
@@ -214,7 +215,7 @@ def _create_task_list(source_data_dir, kbase_collection, load_ver, tool, wrapper
             task_list += f''' --volume={mount_vol}:{docker_vol} '''
 
         for env_var, env_val in env_vars.items():
-            task_list += f'''--env {env_var}={env_val} '''
+            task_list += f''' --env {env_var}={env_val} '''
 
         task_list += f'''--entrypoint\n'''