2015
DOI: 10.1016/j.fm.2014.08.023
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Bacterial diversity in typical Italian salami at different ripening stages as revealed by high-throughput sequencing of 16S rRNA amplicons

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Cited by 199 publications
(129 citation statements)
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“…that our study was based on Illumina sequencing technology, while the ones here cited on 454 pyrosequencing technology, which has a lower throughput. The high coverage values that we obtained, together with an assignment at the species level of 94.3% of all analysed sequences, prove that Illumina NGS of 16S amplicons is a reliable approach for a thorough analyses of cheese bacterial communities, as already demonstrated for fermented meats (Połka et al, 2015) and beverages (Bokulich et al, 2012). It must also be stressed out that, among all the OTUs retrieved, just a fraction of maximum 26 OTUs covers the 99.9% of the total bacterial community.…”
Section: Discussionsupporting
confidence: 73%
See 1 more Smart Citation
“…that our study was based on Illumina sequencing technology, while the ones here cited on 454 pyrosequencing technology, which has a lower throughput. The high coverage values that we obtained, together with an assignment at the species level of 94.3% of all analysed sequences, prove that Illumina NGS of 16S amplicons is a reliable approach for a thorough analyses of cheese bacterial communities, as already demonstrated for fermented meats (Połka et al, 2015) and beverages (Bokulich et al, 2012). It must also be stressed out that, among all the OTUs retrieved, just a fraction of maximum 26 OTUs covers the 99.9% of the total bacterial community.…”
Section: Discussionsupporting
confidence: 73%
“…The new methodologies based on 16S rDNA amplification together with Next-Generation Sequencing technology (NGS) have the advantage to determine, with a high resolution power, the bacterial communities present in food environments: published examples include cheese (De Filippis et al, 2014;Ercolini et al, 2012;Masoud et al, 2011Masoud et al, , 2012, seafood (Kiyohara et al, 2012;Koyanagi et al, 2011;Roh et al, 2010) and dry fermented sausages (Połka et al, 2015). The recent development in Illumina technology, coupled with multiplexing approaches, allows analysing up two 16S rRNA hypervariable regions in thousands sequences per sample, an approach that was shown to gain an almost complete coverage of the bacterial communities of fermented foods, with correct taxonomical assignment at the species level for more than 95% of the analysed reads (Połka et al, 2015). However, these approaches have not yet been applied for the study of microbial communities involved in late blowing spoilage of hard cheese.…”
Section: Introductionmentioning
confidence: 99%
“…In a recent study (Połka et al, 2015) on typical Italian dry fermented sausages reported the presence of 32 different Staphylococcaceae and 33 Lactobacillaceae identified by using DNA based HTS coupled with DGGE technique. Our evidence showed that only few species belonging to those genera may be metabolically active and can really contribute to determine the final characteristics of the products.…”
Section: Discussionmentioning
confidence: 99%
“…They are produced using the same main ingredients (pork meat, pork fat, sugars and salts) but with important differences in the type and quantities of spices (Cocolin et al, 2009). Microbiota development during ripening of these products has been largely studied (Aquilanti et al, 2007;Cocolin et al, 2009;Połka et al, 2015;Villani et al, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…NGS has been applied extensively to a variety of environments, including the sea (11) and soil (12) as well as the gut (13). More recently, NGS of bacterial 16S rRNA amplicons has been used to characterize the microbial communities of a variety of fermented foods and beverages (14)(15)(16)(17)(18)(19)(20) as well as of raw milk and raw milk cheeses (21)(22)(23)(24)(25)(26). Indeed, this approach has led to identification of a number of genera previously not associated with cheese ecosystems (Prevotella and Helcococcus) or with particular cheese types (Arthrobacter in goat's milk cheese).…”
mentioning
confidence: 99%