生物
球囊菌门
GenBank公司
系统发育树
血球
操作分类学单元
系统发育学
植物
共生
遗传学
菌根
16S核糖体RNA
基因
孢子
细菌
作者
Franck Stefani,Karima Bencherif,Stéphanie Sabourin,Anissa Lounès‐Hadj Sahraoui,Claudia Banchini,Sylvie Séguin,Yolande Dalpé
出处
期刊:Mycorrhiza
[Springer Science+Business Media]
日期:2020-03-16
卷期号:30 (2-3): 243-255
被引量:35
标识
DOI:10.1007/s00572-020-00946-y
摘要
Many studies describing communities of arbuscular mycorrhizal fungi (AMF, Glomeromycota) based on high-throughput sequencing target the V4 variable region of the 18S ribosomal gene. However, an accurate taxonomic assignment of these short 18S sequences is challenging. Here we describe a simple approach based on a phylogenetic analysis using a backbone of reference sequences with taxonomic names updated in MycoBank to improve the taxonomic assignment of amplicon sequence variants (ASVs). As a case study, paired-end sequencing (2 × 250 bp) was carried out to describe the community of AMF associated with Tamarix aphylla from Algerian steppe ecosystems. AMF from root and soil samples were targeted with a nested PCR, using the AMF-discriminating primers pair AML1/AML2 for the first amplification and a new primer pair for the second. The proportion of the sequences assigned to Glomeromycota was 85.9%, representing a total of 87 ASVs. Seven well-defined genera (Claroideoglomus, Dominikia, Funneliformis, Innospora, Microkamienskia, Rhizophagus, Septoglomus) and seven phylogenetic divergent clades of Glomus (27% of the ASVs) were identified with the proposed approach. This taxonomic assignment was in sharp contrast with querying the MaarjAM or GenBank databases. Out-of-date taxonomy led the MaarjAM database to attribute 85% of the ASVs to the genus Glomus and the GenBank database to assign 18% of the ASVs to unclassified taxa. We recommend using the simple workflow presented in this study so that up-to-date taxonomic information is accurately assigned to AMF communities analyzed by high-throughput sequencing.
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