scholarly journals Assessing Microbial Community Diversity Using Amplicon Length Heterogeneity Polymerase Chain Reaction

2007 ◽  
Vol 71 (2) ◽  
pp. 572-578 ◽  
Author(s):  
DeEtta K. Mills ◽  
James A. Entry ◽  
Patrick M. Gillevet ◽  
Kalai Mathee
PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7121
Author(s):  
Ankur Naqib ◽  
Silvana Poggi ◽  
Stefan J. Green

Polymerase chain reaction (PCR) amplification of complex microbial genomic DNA templates with degenerate primers can lead to distortion of the underlying community structure due to inefficient primer-template interactions leading to bias. We previously described a method of deconstructed PCR (“PEX PCR”) to separate linear copying and exponential amplification stages of PCR to reduce PCR bias. In this manuscript, we describe an improved deconstructed PCR (“DePCR”) protocol separating linear and exponential stages of PCR and allowing higher throughput of sample processing. We demonstrate that the new protocol shares the same benefits of the original and show that the protocol dramatically and significantly decreases the formation of chimeric sequences during PCR. By employing PCR with annealing temperature gradients, we further show that there is a strong negative correlation between annealing temperature and the evenness of primer utilization in a complex pool of degenerate primers. Shifting primer utilization patterns mirrored shifts in observed microbial community structure in a complex microbial DNA template. We further employed the DePCR method to amplify the same microbial DNA template independently with each primer variant from a degenerate primer pool. The non-degenerate primers generated a broad range of observed microbial communities, but some were highly similar to communities observed with degenerate primer pools. The same experiment conducted with standard PCR led to consistently divergent observed microbial community structure. The DePCR method is simple to perform, is limited to PCR mixes and cleanup steps, and is recommended for reactions in which degenerate primer pools are used or when mismatches between primers and template are possible.


Foods ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 233
Author(s):  
Rosangela Marasco ◽  
Mariagiovanna Gazzillo ◽  
Nicoletta Campolattano ◽  
Margherita Sacco ◽  
Lidia Muscariello

In southern Italy, some artisanal farms produce mozzarella and caciocavallo cheeses by using natural whey starter (NWS), whose microbial diversity is responsible for the characteristic flavor and texture of the final product. We studied the microbial community of NWS cultures of cow’s milk (NWSc) for the production of caciocavallo and buffalo’s milk (NWSb) for the production of mozzarella, both from artisanal farms. Bacterial identification at species and strain level was based on an integrative strategy, combining culture-dependent (sequencing of the 16S rDNA, species/subspecies-specific Polymerase Chain Reaction (PCR) and clustering by Random Amplified Polymorphic DNA-Polymerase Chain Reaction (RAPD-PCR) and culture-independent (next-generation sequencing analysis, NGS) approaches. Results obtained with both approaches showed the occurrence of five species of lactic acid bacteria in NWSb (Lactococcus lactis subsp. lactis, Lactobacillus fermentum, Streptococcus thermophilus, Lactobacillus delbrueckii, and Lactobacillus helveticus) and five species in NWSc (Lc. lactis subsp. lactis, Enterococcus faecium, and S. thermophilus, Lb. helveticus, and Lb. delbrueckii), with the last two found only by the NGS analysis. Moreover, RAPD profiles, performed on Lc. lactis subsp. lactis different isolates from both NWSs, showed nine strains in NWSb and seven strains in NWSc, showing a microbial diversity also at strain level. Characterization of the microbiota of natural whey starters aims to collect new starter bacteria to use for tracing microbial community during the production of artisanal cheeses, in order to preserve their quality and authenticity, and to select new Lactic Acid Bacteria (LAB) strains for the production of functional foods.


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