A next generation semiconductor based sequencing approach for the identification of meat species in DNA mixtures

PLoS ONE

Volumn 10, Issue 4, 2015, Pages

  Bertolini, Francesca ^a   Ghionda, Marco Ciro ^a,b   D'Alessandro, Enrico ^b   Geraci, Claudia ^a   Chiofalo, Vincenzo ^b   Fontanesi, Luca ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

^b UNIVERSITY OF MESSINA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DNA; MITOCHONDRIAL DNA; NUCLEOTIDE; PRIMER DNA; RIBOSOME RNA;

ANALYTICAL ERROR; ANIMAL TISSUE; ARTICLE; BOVINE; CHICKEN; CONCENTRATION (PARAMETERS); DNA DETERMINATION; DNA LIBRARY; DUCK; GENE AMPLIFICATION; GENE TECHNOLOGY; GENETIC ALGORITHM; GOOSE; HORSE; HUMAN; MEAT; NEXT GENERATION SEMICONDUCTOR BASED SEQUENCING TECHNOLOGY; NEXT GENERATION SEQUENCING; NONHUMAN; PHEASANT; PIG; PIGEON; POLYMERASE CHAIN REACTION; RABBIT; RAT; SEMICONDUCTOR; SEQUENCE ALIGNMENT; SHEEP; SPECIES IDENTIFICATION; TURKEY (BIRD); ANALYSIS; ANIMAL; DNA SEQUENCE; GENETICS; PROCEDURES; QUAIL;

ANSER; AVES; BOS; COLUMBA; EQUIDAE; MAMMALIA; ORYCTOLAGUS CUNICULUS; OVIS ARIES; RATTUS; SUIDAE;

ANIMALS; CATTLE; CHICKENS; DNA; DUCKS; GEESE; HORSES; HUMANS; MEAT; MEAT PRODUCTS; QUAIL; RABBITS; RATS; SEMICONDUCTORS; SEQUENCE ANALYSIS, DNA; SHEEP; SWINE; TURKEYS;

EID: 84928781277     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0121701     Document Type: Article

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