Ribosomal protein biomarkers provide root nodule bacterial identification by MALDI-TOF MS

被引:0
|
作者
Dominik Ziegler
Joël F. Pothier
Julie Ardley
Romain Kouakou Fossou
Valentin Pflüger
Sofie de Meyer
Guido Vogel
Mauro Tonolla
John Howieson
Wayne Reeve
Xavier Perret
机构
[1] University of Geneva,Department of Botany and Plant Biology, Microbiology Unit, Sciences III
[2] Mabritec,Environmental Genomics and Systems Biology Research Group, Institute for Natural Resources Sciences
[3] Zurich University of Applied Sciences (ZHAW),Center for Rhizobium Studies
[4] Murdoch University,Laboratory of Applied Microbiology, Department of Environment Construction and Design
[5] University of Applied Sciences of Southern Switzerland,undefined
来源
关键词
Bacterial fingerprints; Phylogeny; Cluster analysis; Rhizobia; Legume nodules; GEBA-RNB;
D O I
暂无
中图分类号
学科分类号
摘要
Accurate identification of soil bacteria that form nitrogen-fixing associations with legume crops is challenging given the phylogenetic diversity of root nodule bacteria (RNB). The labor-intensive and time-consuming 16S ribosomal RNA (rRNA) sequencing and/or multilocus sequence analysis (MLSA) of conserved genes so far remain the favored molecular tools to characterize symbiotic bacteria. With the development of mass spectrometry (MS) as an alternative method to rapidly identify bacterial isolates, we recently showed that matrix-assisted laser desorption ionization (MALDI) time-of-flight (TOF) can accurately characterize RNB found inside plant nodules or grown in cultures. Here, we report on the development of a MALDI-TOF RNB-specific spectral database built on whole cell MS fingerprints of 116 strains representing the major rhizobial genera. In addition to this RNB-specific module, which was successfully tested on unknown field isolates, a subset of 13 ribosomal proteins extracted from genome data was found to be sufficient for the reliable identification of nodule isolates to rhizobial species as shown in the putatively ascribed ribosomal protein masses (PARPM) database. These results reveal that data gathered from genome sequences can be used to expand spectral libraries to aid the accurate identification of bacterial species by MALDI-TOF MS.
引用
收藏
页码:5547 / 5562
页数:15
相关论文
共 50 条
  • [1] Ribosomal protein biomarkers provide root nodule bacterial identification by MALDI-TOF MS
    Ziegler, Dominik
    Pothier, Joel F.
    Ardley, Julie
    Fossou, Romain Kouakou
    Pflueger, Valentin
    de Meyer, Sofie
    Vogel, Guido
    Tonolla, Mauro
    Howieson, John
    Reeve, Wayne
    Perret, Xavier
    APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2015, 99 (13) : 5547 - 5562
  • [2] Direct MALDI-TOF MS Identification of Bacterial Mixtures
    Yang, Yi
    Lin, Yu
    Qiao, Liang
    ANALYTICAL CHEMISTRY, 2018, 90 (17) : 10400 - 10408
  • [3] Identification of biomarkers for diagnosis and progression of MS by MALDI-TOF mass spectrometry
    Teunissen, C. E.
    Koel-Simmelink, M. J. A.
    Pham, T. V.
    Knol, J. C.
    Khalil, M.
    Trentini, A.
    Killestein, J.
    Nielsen, J.
    Vrenken, H.
    Popescu, V.
    Dijkstra, C. D.
    Jimenez, C. R.
    MULTIPLE SCLEROSIS JOURNAL, 2011, 17 (07) : 838 - 850
  • [4] Clinical Impact of Rapid Bacterial Microbiological Identification with the MALDI-TOF MS
    Uzuriaga, Miriam
    Leiva, Jose
    Guillen-Grima, Francisco
    Rua, Marta
    Yuste, Jose R.
    ANTIBIOTICS-BASEL, 2023, 12 (12):
  • [5] Effect of gamma radiation on the identification of bacterial pathogens by MALDI-TOF MS
    Tracz, Dobryan M.
    McCorrister, Stuart J.
    Westmacott, Garrett R.
    Corbett, Cindi R.
    JOURNAL OF MICROBIOLOGICAL METHODS, 2013, 92 (02) : 132 - 134
  • [6] MALDI-TOF mass spectrometry for rapid identification of clinical fungal isolates based on ribosomal protein biomarkers
    Panda, Ashutosh
    Ghosh, Anup K.
    Mirdha, Bijay R.
    Xess, Immaculata
    Paul, Saikat
    Samantaray, Jyotish C.
    Srinivasan, Alagiri
    Khalil, Shehla
    Rastogi, Neha
    Dabas, Yubhisha
    JOURNAL OF MICROBIOLOGICAL METHODS, 2015, 109 : 93 - 105
  • [7] MALDI-TOF MS: a diagnostic tool for identification of bacterial fish pathogens
    Jansson, E.
    Haenen, O.
    Nonnemann, B.
    Madsen, L.
    van Gelderen, E.
    Aspan, A.
    Saker, E.
    Boonstra, M.
    Gulla, S.
    Colquhoun, D. J.
    Roozenburg-Hengst, I
    Dalsgaard, I
    BULLETIN OF THE EUROPEAN ASSOCIATION OF FISH PATHOLOGISTS, 2020, 40 (06): : 240 - 248
  • [8] Dirofilarae identification with MALDI-TOF MS database
    Berezinskaya, Iraida
    Nagorny, Sergey
    Aleshukina, Anna
    Ermakova, Larisa
    Martyusheva, Irina
    Chernikova, Evgenia
    INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2025, 152
  • [9] Rapid Identification of Mycobacteria by MALDI-TOF MS
    Kohlmann, V.
    Kehrmann, J.
    Mueller, K. -D.
    Buer, J.
    Rettenmeier, A. W.
    Mosel, F.
    INTERNATIONAL JOURNAL OF MEDICAL MICROBIOLOGY, 2012, 302 : 11 - 12
  • [10] Identification of Photorhabdus symbionts by MALDI-TOF MS
    Hill, Virginia
    Kuhnert, Peter
    Erb, Matthias
    Machado, Ricardo A. R.
    MICROBIOLOGY-SGM, 2020, 166 (06): : 522 - 530