Mold identification at the species level in environmental samples is a major challenge. Molecular techniques have been widely used for fungal classification, but as most primers are genus-specific, it is laborious to identify unknown samples. In this study, a PCR-based method for the identification of mold at the species level was developed. Therefore, common sequencing primers and combinations of them, targeting specific DNA regions, were tested. Here we present a combination of eight primer pairs to identify mold within a single PCR run. The approach correctly identified mold of unknown species from samples taken at a local bakery, including Penicillium chrysogenum, Penicillium citrinum, Cladosporium sphaerospermum, Paecilomyces formosus, Rhizopus oryzae and Aspergillus niger. Results obtained from the PCR method were successfully validated by chromatographic mycotoxin and microscopy analysis. Findings highlight DNA barcoding as an appropriate tool for mold identification; however, its efficacy is essentially dependent on DNA quality and primer selection.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.foodchem.2020.126501 | DOI Listing |
Zhongguo Zhong Yao Za Zhi
December 2024
Experimental Research Center, China Academy of Chinese Medical Sciences Beijing 100700, China.
The chloroplast genome is an important tool for studying plant classification, evolution, and the heterologous production of secondary metabolites and protein drugs. With advancements in sequencing technology and reductions in sequencing costs, chloroplast genome data have rapidly accumulated. However, existing chloroplast genome databases suffer from issues such as incomplete data, inadequate management, and inconsistent, inaccurate information, posing significant challenges for the development and utilization of the chloroplast genome.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
December 2024
State Key Laboratory of Chinese Medicine Modernization, Tianjin University of Traditional Chinese Medicine Tianjin 301617, China.
Artemisiae Scoporiae Herba is derived from Artemisia scoparia or A. capillaris. The accurate identification of the herbs, particularly when dealing with bulk samples, is critical for ensuring the quality and efficacy of the medicinal product.
View Article and Find Full Text PDFThe genus boasts abundant germplasm resources and comprises numerous species. Among these, medicinal plants of this genus, which have a long history, have garnered attention of scholars. This study sequenced and analyzed the chloroplast genomes of six species of medicinal plants (, , , , , and , respectively) to explore their interspecific relationships.
View Article and Find Full Text PDFHortic Res
January 2025
Key Laboratory of Xinjiang Phytomedicine Resource and Utilization of Ministry of Education, Key Laboratory of Oasis Town and Mountain-basin System Ecology of Xinjiang Production and Construction Corps, College of Life Sciences, Shihezi University, Shihezi 832003, China.
Alfalfa is one of the most economically valuable forage crops in the world. However, molecular cytogenetic studies in alfalfa lag far behind other cash crops and have reached a bottleneck. Here, we developed a novel chromosome identification system by designing 21 oligo probes in specific regions of each chromosome, which can be used as a barcode to simultaneously distinguish all chromosomes in a cell.
View Article and Find Full Text PDFBiodivers Data J
January 2025
Key Laboratory of Zoological Systematics and Application, College of Life Sciences, Hebei University, Baoding, China Key Laboratory of Zoological Systematics and Application, College of Life Sciences, Hebei University Baoding China.
Background: The genus Pocock, 1901 previously included 25 known species and one subspecies from Asia, 12 species and one subspecies were reported in China.
New Information: Five new species of Pocock, 1901 from southern China are described: (♂♀) from Hainan, (♂♀) from Chongqing, (♂♀) from Hunan, (♂) from Sichuan and (♂♀) from south part of Shaanxi. DNA barcodes of the new species described herein are provided.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!