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Tang H, Ma H, Hou Q, Li W, Xu H, Liu W, Sun Z, Haobisi H, Menghe B. Profiling of koumiss microbiota and organic acids and their effects on koumiss taste. BMC Microbiol 2020; 20:85. [PMID: 32276583 PMCID: PMC7149844 DOI: 10.1186/s12866-020-01773-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 03/29/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Koumiss is a naturally fermented mare's milk. Over recent decades, numerous studies have revealed the diversity of lactic acid bacteria in koumiss. However, there is limited information available regarding its secondary major component yeast profile. RESULTS A total of 119 bacterial and 36 yeast species were identified among the 14 koumiss samples. The dominant bacterial species in koumiss were Lactobacillus helveticus, Lactobacillus kefiranofaciens, Lactococcus lactis, Lactococcus raffinolactis, and Citrobacter freundii. The main yeast species were Dekkera anomala, Kazachstania unispora, Meyerozyma caribbica, Pichia sp.BZ159, Kluyveromyces marxianus, and uncultured Guehomyces. The bacterial and yeast Shannon diversity of the Xilinhaote-urban group were higher than those of the Xilingol-rural group. The most dominant organic acids were lactic, acetic, tartaric, and malic acids. Lactic acid bacteria species were mostly responsible for the accumulation of those organic acids, although Kazachstania unispora, Dekkera anomala, and Meyerozyma caribbica may also have contributed. Redundancy analysis suggested that both bacteria and yeast respond to koumiss flavor, such as Lactobacillus helveticus and Dekkera anomala are associated with sourness, astringency, bitterness, and aftertaste, whereas Lactococcus lactis and Kazachstania unispora are associated with umami. CONCLUSIONS Our results suggest that differences were observed in koumiss microbiota of Xilinhaote-urban and Xilingol-rural samples. The biodiversity of the former was higher than the latter group. Positive or negative correlations between bacteria and yeast species and taste also were found.
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Affiliation(s)
- Hai Tang
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Huimin Ma
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Qiangchuan Hou
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Weicheng Li
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Haiyan Xu
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Wenjun Liu
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Zhihong Sun
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China
| | - Halatu Haobisi
- Inner Mongolia International Mongolian Hospital, Hohhot, 010018, People's Republic of China
| | - Bilige Menghe
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China.
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China.
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Foos KM, May NL, Beach DL, Pomper M, Sheehan KB, Ruch DG. Phylogeny of Pilobolaceae. Mycologia 2010; 103:36-44. [PMID: 20943555 DOI: 10.3852/09-314] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
The three genera traditionally classified as Pilobolaceae have been identified on the basis of morphological characteristics. In the absence of distinctive morphological differences phylogenetic techniques have proven to be superior for developing phylogenies. Molecular techniques have been used primarily for studies of higher fungi; there are few investigations of the Zygomycota using genetic sequences for classification. DNA sequences coding for three regions of rRNA were used to investigate phylogenetic relationships of the three genera traditionally considered within the Pilobolaceae. Evidence indicates that Pilaira should be removed from Pilobolaceae and the family redescribed. Sporangiospore size is the morphological characteristic that most closely correlates with rDNA clades of phylogenetic trees. This study demonstrates that traditional morphological characteristics alone are not adequate to differentiate species of Pilobolus.
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Affiliation(s)
- K Michael Foos
- School of Natural Science and Mathematics, Indiana University East, Richmond, Indiana 47374, USA.
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Cherkaoui A, Emonet S, Ceroni D, Candolfi B, Hibbs J, Francois P, Schrenzel J. Development and validation of a modified broad-range 16S rDNA PCR for diagnostic purposes in clinical microbiology. J Microbiol Methods 2009; 79:227-31. [PMID: 19782706 DOI: 10.1016/j.mimet.2009.09.014] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2009] [Revised: 09/15/2009] [Accepted: 09/17/2009] [Indexed: 10/20/2022]
Abstract
Broad-range PCR followed by sequencing identifies bacterial pathogens, even in challenging settings such as patients receiving antibiotics or infected with fastidious or non-cultivable organisms. The major problem with broad-range PCR is the risk of sample contamination. Risk is present at every step of the procedure, starting from sample collection. Contaminating bacterial DNA may be present not only in laboratory reagents but also at the surface of plastic consumables and containers used for specimen drawing and transport to the diagnostic laboratory. Contaminating DNA is amplified efficiently, leading to false-positive results. Thus, high specificity depends on eliminating such spurious targets, an awkward problem given the abundance of such targets and a highly sensitive method that detects very small numbers of molecules. Several investigators have reported strategies for eliminating the amplification of contaminating DNA sequences. So far, none of these methods has been entirely effective and reproducible. Here we describe a method that uses Exonuclease III (ExoIII) to disable contaminating sequences from acting as templates, while maintaining the high sensitivity of PCR for pathogen DNA. We use this assay in 144 clinical specimens from normally sterile sites, identifying pathogens from 24 (17%). Conventional methods identified pathogens in only four of these specimens, all of which were positive for the same pathogen by PCR. Compared with conventional methods, broad-range PCR with ExoIII pre-treatment of reagents substantially improves the diagnostic yield of bacterial pathogen identification from normally sterile sites.
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Affiliation(s)
- Abdessalam Cherkaoui
- Clinical Microbiology Laboratory, Service of Infectious Diseases, University of Geneva Hospitals, Geneva 14, Switzerland
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Nagano Y, Walker J, Loughrey A, Millar C, Goldsmith C, Rooney P, Elborn S, Moore J. Identification of airborne bacterial and fungal species in the clinical microbiology laboratory of a university teaching hospital employing ribosomal DNA (rDNA) PCR and gene sequencing techniques. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2009; 19:187-199. [PMID: 20183192 DOI: 10.1080/09603120802474229] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Universal or "broad-range" PCR-based ribosomal DNA (rDNA) was performed on a collection of 58 isolates (n = 30 bacteria + 28 fungi), originating from environmental air from several locations within a busy clinical microbiology laboratory, supporting a university teaching hospital. A total of 10 bacterial genera were identified including both Gram-positive and Gram-negative genera. Gram-positive organisms accounted for 27/30 (90%) of total bacterial species, consisting of seven genera and included (in descending order of frequency) Staphylococcus, Micrococcus, Corynebacterium, Paenibacillus, Arthrobacter, Janibacter and Rothia. Gram-negative organisms were less frequently isolated 3/30 (10%) and comprised three genera, including Moraxella, Psychrobacter and Haloanella. Eight fungal genera were identified among the 28 fungal organisms isolated, including (in descending order of frequency) Cladosporium, Penicillium, Aspergillus, Thanatephorus, Absidia, Eurotium, Paraphaeosphaeria and Tritirachium, with Cladosporium accounting for 10/28 (35.7%) of the total fungal isolates. In conclusion, this study identified the presence of 10 bacterial and eight fungal genera in the air within the laboratory sampled. Although this reflected diversity of the microorganisms present, none of these organisms have been described previously as having an inhalational route of laboratory-acquired infection. Therefore, we believe that the species of organisms identified and the concentration levels of these airborne contaminants determined, do not pose a significant health and safety threat for immunocompotent laboratory personnel and visitors.
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