Fungal community analysis by high-throughput sequencing of amplified markers - a user's guide

被引:655
作者
Lindahl, Bjorn D. [1 ]
Nilsson, R. Henrik [2 ]
Tedersoo, Leho [3 ]
Abarenkov, Kessy [3 ]
Carlsen, Tor [4 ]
Kjoller, Rasmus [5 ]
Koljalg, Urmas [3 ]
Pennanen, Taina [6 ]
Rosendahl, Soren [5 ]
Stenlid, Jan [1 ]
Kauserud, Havard [4 ]
机构
[1] Swedish Univ Agr Sci, Dept Forest Mycol & Plant Pathol, SE-75007 Uppsala, Sweden
[2] Univ Gothenburg, Dept Biol & Environm Sci, SE-40530 Gothenburg, Sweden
[3] Univ Tartu, Nat Hist Museum, Inst Ecol & Earth Sci, EE-51014 Tartu, Estonia
[4] Univ Oslo, Dept Biol, N-0316 Oslo, Norway
[5] Univ Copenhagen, Dept Biol, DK-1353 Copenhagen, Denmark
[6] Finnish Forest Res Inst, FI-01301 Vantaa, Finland
基金
瑞典研究理事会;
关键词
454-pyrosequencing; bioinformatics; barcoding; environmental sequencing; internal transcribed spacer (ITS) region; PCR; ARBUSCULAR MYCORRHIZAL FUNGI; 454 PYROSEQUENCING ANALYSES; RIBOSOMAL-RNA; MICROBIAL COMMUNITIES; ECTOMYCORRHIZAL FUNGI; AMPLICON READS; ENCODING GENES; RARE BIOSPHERE; DNA BARCODE; DIVERSITY;
D O I
10.1111/nph.12243
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Novel high-throughput sequencing methods outperform earlier approaches in terms of resolution and magnitude. They enable identification and relative quantification of community members and offer new insights into fungal community ecology. These methods are currently taking over as the primary tool to assess fungal communities of plant-associated endophytes, pathogens, and mycorrhizal symbionts, as well as free-living saprotrophs. Taking advantage of the collective experience of six research groups, we here review the different stages involved in fungal community analysis, from field sampling via laboratory procedures to bioinformatics and data interpretation. We discuss potential pitfalls, alternatives, and solutions. Highlighted topics are challenges involved in: obtaining representative DNA/RNA samples and replicates that encompass the targeted variation in community composition, selection of marker regions and primers, options for amplification and multiplexing, handling of sequencing errors, and taxonomic identification. Without awareness of methodological biases, limitations of markers, and bioinformatics challenges, large-scale sequencing projects risk yielding artificial results and misleading conclusions.
引用
收藏
页码:288 / 299
页数:12
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