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Comparing Sanger sequencing and high-throughput metabarcoding for inferring photobiont diversity in lichens by Paul, Fiona; Otte, Jürgen; Schmitt, Imke; Dal Grande, Francesco is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Comparing Sanger sequencing and high-throughput metabarcoding for inferring photobiont diversity in lichens about?

## Abstract The implementation of HTS (high-throughput sequencing) approaches is rapidly changing our understanding of the lichen symbiosis, by uncovering high bacterial and fungal diversity, which is often host-specific. Recently, HTS methods revealed the presence of multiple photobionts inside a single thallus in several lichen species. This differs from Sanger technology, which typically yields a single, unambiguous algal sequence per individual. Here we compared HTS and Sanger methods for estimating the diversity of green algal symbionts within lichen thalli using 240 lichen individuals belonging to two species of lichen-forming fungi. According to HTS data, Sanger technology consistently yielded the most abundant photobiont sequence in the sample. However, if the second most abundant photobiont exceeded 30% of the total HTS reads in a sample, Sanger sequencing generally failed. Our results suggest that most lichen individuals in the two analyzed species, Lasallia hispanica and L. pustulata, indeed contain a single, predominant green algal photobiont. We conclude that Sanger sequencing is a valid approach to detect the dominant photobionts in lichen individuals and populations.

Who reads Comparing Sanger sequencing and high-throughput metabarcoding for inferring photobiont diversity in lichens?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
Paul, Fiona; Otte, Jürgen; Schmitt, Imke; Dal Grande, Francesco
Publisher
Springer Science and Business Media LLC; London: Nature Publishing Group; [London]: Springer Nature; Nature Publishing Group; Society for Mining, Metallurgy and Exploration Inc.; Research Square; Springer Nature; Island Press (ISSN 2045-2322)
Published
2018
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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