Rapid cyanobacteria species identification with high sensitivity using native mass spectrometry

Jaspreet K. Sound; Anna Peters; Jeddidiah Bellamy-Carter; Cecilia Rad-Menéndez; Karen MacKechnie; David H. Green; Aneika C. Leney

doi:10.1021/acs.analchem.1c03412

Rapid cyanobacteria species identification with high sensitivity using native mass spectrometry

Jaspreet K. Sound, Anna Peters, Jeddidiah Bellamy-Carter, Cecilia Rad-Menéndez, Karen MacKechnie, David H. Green, Aneika C. Leney

Biosciences

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Abstract

Cyanobacteria have evolved over billions of years to adapt and survive in diverse climates. Environmentally, this presents a huge challenge because cyanobacteria can now rapidly form algae blooms that are detrimental to aquatic life. In addition, many cyanobacteria produce toxins, making them hazardous to animals and humans that they encounter. Rapid identification of cyanobacteria is essential to monitor and prevent toxic algae blooms. Here, we show for the first time how native mass spectrometry can quickly and precisely identify cyanobacteria from diverse aquatic environments. By monitoring phycobiliproteins, abundant protein complexes within cyanobacteria, simple, easy-to-understand mass spectral "fingerprints"were created that were unique to each species. Moreover, our method is 10-fold more sensitive than the current MALDI-TOF mass spectrometric methods, meaning that cyanobacteria can be monitored using this technology prior to bloom formation. Together, the data show great promise for the simultaneous detection and identification of co-existing cyanobacteria in situ.

Original language	English
Pages (from-to)	14293-14299
Number of pages	7
Journal	Analytical Chemistry
Volume	93
Issue number	42
Early online date	17 Oct 2021
DOIs	https://doi.org/10.1021/acs.analchem.1c03412
Publication status	Published - 26 Oct 2021

Bibliographical note

Funding Information:
We thank the Advanced Mass Spectrometry Facility at the University of Birmingham for housing and maintaining the mass spectrometers used in the study. We thank Alexandra Munro-Clark for performing the preliminary native MS experiments. J.K.S., J.B.C., and A.C.L. were funded through a BBSRC grant (BB/T015640/1). Funding for reagents and consumables was provided jointly by the BBSRC (BB/T015640/1), the Royal Society of Chemistry (RGS\R1\201411), and the University of Birmingham. The Eclipse mass spectrometer used in this research was funded by the BBSRC (BB/S019456/1). C.R.M. and K.M. were funded by the NERC (NERC Scientific support & Facilities, project NE/R017050/1). We thank Thermo Fisher Scientific for access to modified software that enabled native MS analysis on the Q-Exactive HF mass spectrometer.

Publisher Copyright:
© 2021 The Authors. Published by American Chemical Society.

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10.1021/acs.analchem.1c03412Licence: Creative Commons: Attribution (CC BY)

SoundJK2021RapidFinal published version, 1.71 MBLicence: Creative Commons: Attribution (CC BY)

A new mass spectrometer for structural proteomics and protein imaging
Thomas, C., Grant, M., Lovering, A., Alderwick, L., Tomlinson, M., Winn, P., Knowles, T., Cooper, H., Styles, I., Gibbs, D., Huber, D., Bhatt, A. & Leney, A.
Biotechnology & Biological Sciences Research Council
1/07/19 → 30/06/20
Project: Research

Rapid cyanobacteria species identification with high sensitivity using native mass spectrometry
Sound, J. (Creator), Peters, A. (Creator), Bellamy-Carter, J. (Creator), Rad-Menendez, C. (Creator), MacKechnie, K. (Creator), Green, D. (Creator) & Leney, A. (Creator), University of Birmingham, 29 Sept 2021
DOI: https://doi.org/10.25500/edata.bham.00000722
Dataset

Cite this

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abstract = "Cyanobacteria have evolved over billions of years to adapt and survive in diverse climates. Environmentally, this presents a huge challenge because cyanobacteria can now rapidly form algae blooms that are detrimental to aquatic life. In addition, many cyanobacteria produce toxins, making them hazardous to animals and humans that they encounter. Rapid identification of cyanobacteria is essential to monitor and prevent toxic algae blooms. Here, we show for the first time how native mass spectrometry can quickly and precisely identify cyanobacteria from diverse aquatic environments. By monitoring phycobiliproteins, abundant protein complexes within cyanobacteria, simple, easy-to-understand mass spectral {"}fingerprints{"}were created that were unique to each species. Moreover, our method is 10-fold more sensitive than the current MALDI-TOF mass spectrometric methods, meaning that cyanobacteria can be monitored using this technology prior to bloom formation. Together, the data show great promise for the simultaneous detection and identification of co-existing cyanobacteria in situ.",

author = "Sound, {Jaspreet K.} and Anna Peters and Jeddidiah Bellamy-Carter and Cecilia Rad-Men{\'e}ndez and Karen MacKechnie and Green, {David H.} and Leney, {Aneika C.}",

note = "Funding Information: We thank the Advanced Mass Spectrometry Facility at the University of Birmingham for housing and maintaining the mass spectrometers used in the study. We thank Alexandra Munro-Clark for performing the preliminary native MS experiments. J.K.S., J.B.C., and A.C.L. were funded through a BBSRC grant (BB/T015640/1). Funding for reagents and consumables was provided jointly by the BBSRC (BB/T015640/1), the Royal Society of Chemistry (RGS\R1\201411), and the University of Birmingham. The Eclipse mass spectrometer used in this research was funded by the BBSRC (BB/S019456/1). C.R.M. and K.M. were funded by the NERC (NERC Scientific support & Facilities, project NE/R017050/1). We thank Thermo Fisher Scientific for access to modified software that enabled native MS analysis on the Q-Exactive HF mass spectrometer. Publisher Copyright: {\textcopyright} 2021 The Authors. Published by American Chemical Society.",

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AU - Green, David H.

AU - Leney, Aneika C.

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Rapid cyanobacteria species identification with high sensitivity using native mass spectrometry

Abstract

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A new mass spectrometer for structural proteomics and protein imaging

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Rapid cyanobacteria species identification with high sensitivity using native mass spectrometry

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