Literature DB >> 28537741

Optimized Extraction Method To Remove Humic Acid Interferences from Soil Samples Prior to Microbial Proteome Measurements.

Chen Qian1, Robert L Hettich2.   

Abstract

The microbial composition and their activities in soil environments play a critical role in organic matter transformation and nutrient cycling. Liquid chromatography coupled to high-performance mass spectrometry provides a powerful approach to characterize soil microbiomes; however, the limited microbial biomass and the presence of abundant interferences in soil samples present major challenges to proteome extraction and subsequent MS measurement. To this end, we have designed an experimental method to improve microbial proteome measurement by removing the soil-borne humic substances coextraction from soils. Our approach employs an in situ detergent-based microbial lysis/TCA precipitation coupled to an additional cleanup step involving acidified precipitation and filtering at the peptide level to remove most of the humic acid interferences prior to proteolytic peptide measurement. The novelty of this approach is an integration to exploit two different characteristics of humic acids: (1) Humic acids are insoluble in acidic solution but should not be removed at the protein level, as undesirable protein removal may also occur. Rather it is better to leave the humics acids in the samples until the peptide level, at which point the significant differential solubility of humic acids versus peptides at low pH can be exploited very efficiently. (2) Most of the humic acids have larger molecule weights than the peptides. Therefore, filtering a pH 2 to 3 peptide solution with a 10 kDa filter will remove most of the humic acids. This method is easily interfaced with normal proteolytic processing approaches and provides a reliable and straightforward protein extraction method that efficiently removes soil-borne humic substances without inducing proteome sample loss or biasing protein identification in mass spectrometry. In general, this humic acid removal step is universal and can be adopted by any workflow to effectively remove humic acids to avoid them negatively competing with peptides for binding with reversed-phase resin or ionization in the electrospray.

Entities:  

Keywords:  humic acid removal; proteome extraction; shotgun proteomics; soil metaproteomics

Mesh:

Substances:

Year:  2017        PMID: 28537741     DOI: 10.1021/acs.jproteome.7b00103

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  5 in total

Review 1.  Addressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and Future.

Authors:  Sharon A Huws; Christopher J Creevey; Linda B Oyama; Itzhak Mizrahi; Stuart E Denman; Milka Popova; Rafael Muñoz-Tamayo; Evelyne Forano; Sinead M Waters; Matthias Hess; Ilma Tapio; Hauke Smidt; Sophie J Krizsan; David R Yáñez-Ruiz; Alejandro Belanche; Leluo Guan; Robert J Gruninger; Tim A McAllister; C Jamie Newbold; Rainer Roehe; Richard J Dewhurst; Tim J Snelling; Mick Watson; Garret Suen; Elizabeth H Hart; Alison H Kingston-Smith; Nigel D Scollan; Rodolpho M do Prado; Eduardo J Pilau; Hilario C Mantovani; Graeme T Attwood; Joan E Edwards; Neil R McEwan; Steven Morrisson; Olga L Mayorga; Christopher Elliott; Diego P Morgavi
Journal:  Front Microbiol       Date:  2018-09-25       Impact factor: 5.640

2.  Proteomic method to extract, concentrate, digest and enrich peptides from fossils with coloured (humic) substances for mass spectrometry analyses.

Authors:  Elena R Schroeter; Kevin Blackburn; Michael B Goshe; Mary H Schweitzer
Journal:  R Soc Open Sci       Date:  2019-08-21       Impact factor: 2.963

Review 3.  Soil Metaproteomics for the Study of the Relationships Between Microorganisms and Plants: A Review of Extraction Protocols and Ecological Insights.

Authors:  Maria Tartaglia; Felipe Bastida; Rosaria Sciarrillo; Carmine Guarino
Journal:  Int J Mol Sci       Date:  2020-11-11       Impact factor: 5.923

Review 4.  Considerations for constructing a protein sequence database for metaproteomics.

Authors:  J Alfredo Blakeley-Ruiz; Manuel Kleiner
Journal:  Comput Struct Biotechnol J       Date:  2022-01-21       Impact factor: 7.271

5.  Methodological bias associated with soluble protein recovery from soil.

Authors:  Lucy M Greenfield; Paul W Hill; Eric Paterson; Elizabeth M Baggs; Davey L Jones
Journal:  Sci Rep       Date:  2018-07-25       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.