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Differentiation and Identification of Endophytic Bacteria from Populus Based on Mass Fingerprints and Gene Sequences

Plant endophytic bacteria play important roles in plants’ growth and resistance to stress. It is important to characterize endophytic bacteria to be able to understand their benefits. Matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) has become a powerful te...

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Autores principales: Wang, Xia, Wu, Guanqi, Han, Shuo, Yang, Jingjing, He, Xiangwei, Li, Haifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10487577/
https://www.ncbi.nlm.nih.gov/pubmed/37686254
http://dx.doi.org/10.3390/ijms241713449
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author Wang, Xia
Wu, Guanqi
Han, Shuo
Yang, Jingjing
He, Xiangwei
Li, Haifang
author_facet Wang, Xia
Wu, Guanqi
Han, Shuo
Yang, Jingjing
He, Xiangwei
Li, Haifang
author_sort Wang, Xia
collection PubMed
description Plant endophytic bacteria play important roles in plants’ growth and resistance to stress. It is important to characterize endophytic bacteria to be able to understand their benefits. Matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) has become a powerful technique for bacterial identification due to its high throughput and simple procedures. In this study, the endophytic bacteria separated from Populus (the leaves, roots and stems of Populus tomentosa Carrière; stems of Populus nigra Linn. var. nigra; and stems of Populus canadensis Moench) were identified and classified based on MALDI-TOF MS data and 16S rRNA gene sequencing. The sampling and preparation of bacteria were optimized to obtain meaningful protein mass fingerprints. The composite correlation index (CCI) values of the inter-genera and inter-species protein mass fingerprints demonstrated sufficient differences between the strains. In the CCI value matrix for ten species in the same genus, all the CCI values were less than 0.5. Among the species, 95.6% of all the CCI values were less than 0.5. After data processing, the classification capacity of the protein mass fingerprints was verified using inter-specific and inter-generic PCoA. To compare different methods’ potential for differentiation and phylogenetic analysis, a dendrogram of the MS profiles and a phylogenetic tree based on the 16S rRNA gene sequences were constructed using 61 endophytic bacteria found in Populus. The clustering and grouping results show that the phylogenetic analysis based on MALDI-TOF MS is similar to that based on 16S rRNA gene sequencing. This study provides a valuable reference for differentiating and identifying endophytic bacteria according to their protein mass fingerprints.
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spelling pubmed-104875772023-09-09 Differentiation and Identification of Endophytic Bacteria from Populus Based on Mass Fingerprints and Gene Sequences Wang, Xia Wu, Guanqi Han, Shuo Yang, Jingjing He, Xiangwei Li, Haifang Int J Mol Sci Article Plant endophytic bacteria play important roles in plants’ growth and resistance to stress. It is important to characterize endophytic bacteria to be able to understand their benefits. Matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) has become a powerful technique for bacterial identification due to its high throughput and simple procedures. In this study, the endophytic bacteria separated from Populus (the leaves, roots and stems of Populus tomentosa Carrière; stems of Populus nigra Linn. var. nigra; and stems of Populus canadensis Moench) were identified and classified based on MALDI-TOF MS data and 16S rRNA gene sequencing. The sampling and preparation of bacteria were optimized to obtain meaningful protein mass fingerprints. The composite correlation index (CCI) values of the inter-genera and inter-species protein mass fingerprints demonstrated sufficient differences between the strains. In the CCI value matrix for ten species in the same genus, all the CCI values were less than 0.5. Among the species, 95.6% of all the CCI values were less than 0.5. After data processing, the classification capacity of the protein mass fingerprints was verified using inter-specific and inter-generic PCoA. To compare different methods’ potential for differentiation and phylogenetic analysis, a dendrogram of the MS profiles and a phylogenetic tree based on the 16S rRNA gene sequences were constructed using 61 endophytic bacteria found in Populus. The clustering and grouping results show that the phylogenetic analysis based on MALDI-TOF MS is similar to that based on 16S rRNA gene sequencing. This study provides a valuable reference for differentiating and identifying endophytic bacteria according to their protein mass fingerprints. MDPI 2023-08-30 /pmc/articles/PMC10487577/ /pubmed/37686254 http://dx.doi.org/10.3390/ijms241713449 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Xia
Wu, Guanqi
Han, Shuo
Yang, Jingjing
He, Xiangwei
Li, Haifang
Differentiation and Identification of Endophytic Bacteria from Populus Based on Mass Fingerprints and Gene Sequences
title Differentiation and Identification of Endophytic Bacteria from Populus Based on Mass Fingerprints and Gene Sequences
title_full Differentiation and Identification of Endophytic Bacteria from Populus Based on Mass Fingerprints and Gene Sequences
title_fullStr Differentiation and Identification of Endophytic Bacteria from Populus Based on Mass Fingerprints and Gene Sequences
title_full_unstemmed Differentiation and Identification of Endophytic Bacteria from Populus Based on Mass Fingerprints and Gene Sequences
title_short Differentiation and Identification of Endophytic Bacteria from Populus Based on Mass Fingerprints and Gene Sequences
title_sort differentiation and identification of endophytic bacteria from populus based on mass fingerprints and gene sequences
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10487577/
https://www.ncbi.nlm.nih.gov/pubmed/37686254
http://dx.doi.org/10.3390/ijms241713449
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