Yeast Diversity in Honey and Pollen Samples from Stingless Bees in the State of Bahia, Brazil: Use of the MALDI-TOF MS/Genbank Proteomic Technique

da Silva, Raquel Nunes Almeida; Magalhães-Guedes, Karina Teixeira; de Oliveira Alves, Rogério Marcos; Souza, Angélica Cristina; Schwan, Rosane Freitas; Umsza-Guez, Marcelo Andrés

doi:10.3390/microorganisms12040678

Open AccessArticle

Yeast Diversity in Honey and Pollen Samples from Stingless Bees in the State of Bahia, Brazil: Use of the MALDI-TOF MS/Genbank Proteomic Technique

by

Raquel Nunes Almeida da Silva

¹,

Karina Teixeira Magalhães-Guedes

^1,*

,

Rogério Marcos de Oliveira Alves

²,

Angélica Cristina Souza

³,

Rosane Freitas Schwan

³

and

Marcelo Andrés Umsza-Guez

^1,4,*

¹

Food Science Postgraduate Program, Faculty of Pharmacy, Federal University of Bahia, Salvador 40170-100, Brazil

²

Federal Institute of Education, Science and Technology of Bahia—IFBaiano, Catu 48110-000, Brazil

³

Department of Biology, Microbiology Sector, Federal University of Lavras, Lavras 37200-900, Brazil

⁴

Biotechnology Department, Federal University of Bahia, Salvador 40110-902, Brazil

^*

Authors to whom correspondence should be addressed.

Microorganisms 2024, 12(4), 678; https://doi.org/10.3390/microorganisms12040678

Submission received: 30 January 2024 / Revised: 26 February 2024 / Accepted: 27 February 2024 / Published: 28 March 2024

(This article belongs to the Section Microbial Biotechnology)

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Abstract

(1) Background: The identification of microorganisms includes traditional biochemical methods, molecular biology methods evaluating the conserved regions of rRNA, and the molecular biology of proteins (proteomics), such as MALDI-TOF MS mass spectrometry. This work aimed to identify the biodiversity of yeasts associated with stingless bee species’ honey and pollen, Melipona scutellaris, Nannotrigona testaceicornes, and Tetragonisca angustula, from the region of São Gonçalo dos Campos-Bahia (BA) state, Brazil. (2) Methods: Cellular proteins were extracted from 2837 microbial isolates (pollen and honey) and identified via MALDI-TOF MS. The identified yeast species were also compared to the mass spectra of taxonomically well-characterized reference strains, available from the National Center of Biotechnology Information (NCBI) database. (3) Results: Nine yeast species were identified: Candida maltosa, Candida norvegica, Kazachstania telluris, Schizosaccharomyces pombe, Scheffersomyces insectosus, Meyerozyma guilliermondii, Brettanomyces bruxellensis, Kazachstania exigua, and Starmerella lactis-condensi. Nannotrigona testaceicornes pollen had the highest number of yeast colonies. The yeasts Brettanomyces bruxellensis and Kazachstania telluris showed high populations in the samples of Nannotrigona testaceicornes and Melipona scutellaris, respectively. This work shows that there is some sharing of the same species of yeast between honey and pollen from the same beehive. (4) Conclusions: A total of 71.84% of the identified species present a high level of confidence at the species level. Eight yeast species (Candida maltosa, Candida norvegica, Kazachstania telluris, Schizosaccharomyces pombe, Scheffersomyces insectosus, Meyerozyma guilliermondii, Kazachstania exigua, and Starmerella lactis-condensi) were found for the first time in the samples that the authors inspected. This contributes to the construction of new knowledge about the diversity of yeasts associated with stingless bee products, as well as to the possibility of the biotechnological application of some yeast species.

Keywords: Candida maltosa; Candida norvegica; Kazachstania telluris; Schizosaccharomyces pombe; Scheffersomyces insectosus; Meyerozyma guilliermondii; Brettanomyces bruxellensis; Kazachstania exigua; Starmerella lactis-condensi

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MDPI and ACS Style

da Silva, R.N.A.; Magalhães-Guedes, K.T.; de Oliveira Alves, R.M.; Souza, A.C.; Schwan, R.F.; Umsza-Guez, M.A. Yeast Diversity in Honey and Pollen Samples from Stingless Bees in the State of Bahia, Brazil: Use of the MALDI-TOF MS/Genbank Proteomic Technique. Microorganisms 2024, 12, 678. https://doi.org/10.3390/microorganisms12040678

AMA Style

da Silva RNA, Magalhães-Guedes KT, de Oliveira Alves RM, Souza AC, Schwan RF, Umsza-Guez MA. Yeast Diversity in Honey and Pollen Samples from Stingless Bees in the State of Bahia, Brazil: Use of the MALDI-TOF MS/Genbank Proteomic Technique. Microorganisms. 2024; 12(4):678. https://doi.org/10.3390/microorganisms12040678

Chicago/Turabian Style

da Silva, Raquel Nunes Almeida, Karina Teixeira Magalhães-Guedes, Rogério Marcos de Oliveira Alves, Angélica Cristina Souza, Rosane Freitas Schwan, and Marcelo Andrés Umsza-Guez. 2024. "Yeast Diversity in Honey and Pollen Samples from Stingless Bees in the State of Bahia, Brazil: Use of the MALDI-TOF MS/Genbank Proteomic Technique" Microorganisms 12, no. 4: 678. https://doi.org/10.3390/microorganisms12040678

APA Style

da Silva, R. N. A., Magalhães-Guedes, K. T., de Oliveira Alves, R. M., Souza, A. C., Schwan, R. F., & Umsza-Guez, M. A. (2024). Yeast Diversity in Honey and Pollen Samples from Stingless Bees in the State of Bahia, Brazil: Use of the MALDI-TOF MS/Genbank Proteomic Technique. Microorganisms, 12(4), 678. https://doi.org/10.3390/microorganisms12040678

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Yeast Diversity in Honey and Pollen Samples from Stingless Bees in the State of Bahia, Brazil: Use of the MALDI-TOF MS/Genbank Proteomic Technique

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