da Silva Raquel Nunes Almeida, Magalhães-Guedes Karina Teixeira, de Oliveira Alves Rogério Marcos, Souza Angélica Cristina, Schwan Rosane Freitas, Umsza-Guez Marcelo Andrés
Food Science Postgraduate Program, Faculty of Pharmacy, Federal University of Bahia, Salvador 40170-100, Brazil.
Federal Institute of Education, Science and Technology of Bahia-IFBaiano, Catu 48110-000, Brazil.
Microorganisms. 2024 Mar 28;12(4):678. doi: 10.3390/microorganisms12040678.
(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, , , and , 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: , , , , , , , , and pollen had the highest number of yeast colonies. The yeasts and showed high populations in the samples of and , 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 (, , , , , , , and ) 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.
(1) 背景：微生物鉴定方法包括传统生化方法、评估rRNA保守区域的分子生物学方法以及蛋白质分子生物学（蛋白质组学），如基质辅助激光解吸电离飞行时间质谱（MALDI-TOF MS）。本研究旨在鉴定来自巴西巴伊亚州圣贡萨洛 - 坎波斯地区无刺蜂蜂蜜和花粉中酵母菌的生物多样性。(2) 方法：从2837个微生物分离株（花粉和蜂蜜）中提取细胞蛋白质，并通过MALDI-TOF MS进行鉴定。将鉴定出的酵母菌种与来自美国国立生物技术信息中心（NCBI）数据库中分类特征明确的参考菌株的质谱图进行比较。(3) 结果：鉴定出9种酵母菌种：，，，，，，，，和。花粉中的酵母菌落数量最多。酵母菌和分别在和的样本中呈现高数量。本研究表明同一蜂巢的蜂蜜和花粉中存在一些相同种类的酵母。(4) 结论：总共71.84%的鉴定菌种在物种水平上具有高度可信度。在作者检测的样本中首次发现了8种酵母菌种（，，，，，，，和）。这有助于构建关于无刺蜂产品相关酵母多样性的新知识，以及某些酵母菌种生物技术应用的可能性。
