Jomat Océane, Géry Antoine, Leudet Astrid, Capitaine Agathe, Garon David, Bonhomme Julie
Mycology and Parasitology Department, Caen University Hospital, UNICAEN, Normandie University, 14000 Caen, France.
ToxEMAC-ABTE, UNICAEN & UNIROUEN, Normandie University, 14000 Caen, France.
J Fungi (Basel). 2023 Aug 23;9(9):868. doi: 10.3390/jof9090868.
series are molds distributed among 17 species, commonly found in our environment, and responsible for infections. Since 2022, a new taxonomy has grouped them into 4 major lineages: , , , and . Matrix-Assisted Laser Desorption/Ionization Time-Of-Flight Mass Spectrometry (MALDI-TOF MS) could be a faster and more cost-effective alternative to molecular techniques for identifying them by developing a local database. To evaluate this technique, 30 isolates from series were used. A total of 59 main spectra profiles (MSPs) were created in the local database. This protocol enabled accurate identification of 100% of the extracted isolates, of which 97% (29/30) were correctly identified with a log score ≥ 2.00. Some MSPs recorded as in the supplier's database could lead to false identifications as they did not match with the correct lineages. Although the local database is still limited in the number and diversity of species of series , it is sufficiently effective for correct lineage identification according to the latest taxonomic revision, and better than the MALDI-TOF MS supplier's database. This technology could improve the speed and accuracy of routine fungal identification for these species.
该菌属分布于17个菌种中，在我们的环境中普遍存在，并可导致感染。自2022年以来，一种新的分类法将它们分为4个主要谱系：、、和。基质辅助激光解吸/电离飞行时间质谱（MALDI-TOF MS）通过开发本地数据库，可能成为一种比分子技术更快且更具成本效益的菌种鉴定替代方法。为评估该技术，使用了来自该菌属的30株分离株。在本地数据库中总共创建了59个主要光谱图谱（MSP）。该方案能够准确鉴定100%的提取分离株，其中97%（29/30）的分离株在对数分数≥2.00时被正确鉴定。供应商数据库中记录为的一些MSP可能会导致错误鉴定，因为它们与正确的谱系不匹配。尽管本地数据库中该菌属的菌种数量和多样性仍然有限，但根据最新的分类修订，它对于正确的谱系鉴定足够有效，并且优于MALDI-TOF MS供应商的数据库。这项技术可以提高这些菌种常规真菌鉴定的速度和准确性。
