scholarly journals Bacterial Complexity of Traditional Mountain Butter Is Affected by the Malga-Farm of Production

2021 ◽  
Vol 10 (1) ◽  
pp. 17
Author(s):  
Silvia Schiavon ◽  
Mauro Paolini ◽  
Raffaele Guzzon ◽  
Andrea Mancini ◽  
Roberto Larcher ◽  
...  

Bacteria can play different roles affecting flavors and food characteristics. Few studies have described the bacterial microbiota of butter. In the present paper, next-generation sequencing was used to determine bacterial diversity, together with aromatic characteristics, in raw cow milk butter processed by traditional fermentation, in fourteen small farms called “Malga”, located in the Trentino province (Alpine region, North-East of Italy). The physicochemical and aromatic characterization of traditional mountain butter (TMB) showed a low moisture level depending on the Malga producing the butter. Counts of lactic acid bacteria, Staphylococci, and coliforms, as well as diacetyl/acetoin concentrations exhibited changes according to the geographical origin of Malga and the residual humidity of butter. MiSeq Illumina data analysis revealed that the relative abundance of Lactococcus was higher in TMB samples with the highest values of acetoin (acetoin higher than 10 mg/kg). The traditional mountain butter bacterial community was characterized by a “core dominance” of psychrotrophic genera, mainly Acinetobacter and Pseudomonas, but according to ANCOM analysis, a complex bacterial population emerged and specific bacterial genera were able to characterize the TMB bacteria community, with their high abundance, based on the Malga producing the butter.

HLA ◽  
2021 ◽  
Author(s):  
Maria Loginova ◽  
Olga Makhova ◽  
Daria Smirnova ◽  
Igor Paramonov ◽  
Maksim Zarubin

HLA ◽  
2020 ◽  
Author(s):  
Steve Genebrier ◽  
Vincent Elsermans ◽  
Emeric Texeraud ◽  
Gerald Bertrand ◽  
Virginie Renac

2021 ◽  
pp. 1-7
Author(s):  
Jian Gao ◽  
Sheng Lin ◽  
Shiguo Chen ◽  
Qunyan Wu ◽  
Kaifeng Zheng ◽  
...  

<b><i>Background:</i></b> Glucose-6-phosphate dehydrogenase (G6PD) deficiency is caused by one or more mutations in the G6PD gene on chromosome X. This study aimed to characterize the G6PD gene variant distribution in Shenzhen of Guangdong province. <b><i>Methods:</i></b> A total of 33,562 individuals were selected at the hospital for retrospective analysis, of which 1,213 cases with enzymatic activity-confirmed G6PD deficiency were screened for G6PD gene variants. Amplification refractory mutation system PCR was first used to screen the 6 dominant mutants in the Chinese population (c.1376G&#x3e;T, c.1388G&#x3e;A, c.95A&#x3e;G, c.1024C&#x3e;T, c.392G&#x3e;T, and c.871G&#x3e;A). If the 6 hotspot variants were not found, next-generation sequencing was then performed. Finally, Sanger sequencing was used to verify all the mutations. <b><i>Results:</i></b> The incidence of G6PD deficiency in this study was 3.54%. A total of 26 kinds of mutants were found in the coding region, except for c.-8-624T&#x3e;C, which was in the noncoding region. c.1376G&#x3e;T and c.1388G&#x3e;A, both located in exon 12, were the top 2 mutants, accounting for 68.43% of all individuals. The 6 hotspot mutations had a cumulative proportion of 94.02%. <b><i>Conclusions:</i></b> This study provided detailed characteristics of G6PD gene variants in Shenzhen, and the results would be valuable to enrich the knowledge of G6PD deficiency.


HLA ◽  
2021 ◽  
Author(s):  
Steve Genebrier ◽  
Paul Rouzaire ◽  
Emeric Texeraud ◽  
Gerald Bertrand ◽  
Virginie Renac

2018 ◽  
Vol 6 (13) ◽  
Author(s):  
My V. T. Phan ◽  
Claudia M. E. Schapendonk ◽  
Bas B. Oude Munnink ◽  
Marion P. G. Koopmans ◽  
Rik L. de Swart ◽  
...  

ABSTRACT Genetic characterization of wild-type measles virus (MV) strains is a critical component of measles surveillance and molecular epidemiology. We have obtained complete genome sequences of six MV strains belonging to different genotypes, using random-primed next generation sequencing.


2017 ◽  
Vol 19 (11) ◽  
pp. 4728-4735 ◽  
Author(s):  
Simone Rampelli ◽  
Silvia Turroni ◽  
Stephanie L. Schnorr ◽  
Matteo Soverini ◽  
Sara Quercia ◽  
...  

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