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

被引:0
|
作者
Fiona Paul
Jürgen Otte
Imke Schmitt
Francesco Dal Grande
机构
[1] Senckenberg Biodiversity and Climate Research Centre (SBiK-F),Institute of Ecology, Evolution and Diversity
[2] Goethe University Frankfurt am Main,Departamento de Farmacología, Farmacognosia y Botánica
[3] Universidad Complutense de Madrid,undefined
来源
关键词
Sanger Sequencing; Photobiont; Individual Lichen; Lichen Thalli; Lichen Symbiosis;
D O I
暂无
中图分类号
学科分类号
摘要
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. We discuss which research areas in lichen ecology and evolution will continue to benefit from Sanger sequencing, and which areas will profit from HTS approaches to assessing symbiont diversity.
引用
收藏
相关论文
共 50 条
  • [41] Exploring Genetic Diversity in Plants Using High-Throughput Sequencing Techniques
    Onda, Yoshihiko
    Mochida, Keiichi
    CURRENT GENOMICS, 2016, 17 (04) : 358 - 367
  • [42] Evaluating high-throughput sequencing as a method for metagenomic analysis of nematode diversity
    Porazinska, Dorota L.
    Giblin-Davis, Robin M.
    Faller, Lina
    Farmerie, William
    Kanzaki, Natsumi
    Morris, Krystalynne
    Powers, Thomas O.
    Tucker, Abraham E.
    Sung, Way
    Thomas, W. Kelley
    MOLECULAR ECOLOGY RESOURCES, 2009, 9 (06) : 1439 - 1450
  • [43] Enrichment of nitrifying bacteria and microbial diversity analysis by high-throughput sequencing
    Yao, Renda
    Yang, Hong
    Yu, Mengyu
    Liu, Yi
    Shi, Huan
    RSC ADVANCES, 2016, 6 (115): : 113959 - 113966
  • [44] Elucidating the virome diversity of grapevine using high-throughput sequencing approaches
    Maliogka, V. I.
    Lotos, L.
    Katis, N.
    PHYTOPATHOLOGY, 2019, 109 (10) : 201 - 201
  • [45] Discovery of the rich diversity of Mesomycoplasma hyopneumoniae through high-throughput sequencing
    Yin, Yeshi
    Jiang, Jianzhao
    Hu, Yunfei
    Chen, Ying
    Wei, Zuzhang
    Chen, Huahai
    VETERINARY MICROBIOLOGY, 2024, 297
  • [46] Investigation of bacterial and fungal diversity in tarag using high-throughput sequencing
    Sun, Zhihong
    Liu, Wenjun
    Bao, Qiuhua
    Zhang, Jiachao
    Hou, Qiangchuan
    Kwok, Laiyu
    Sun, Tiansong
    Zhang, Heping
    JOURNAL OF DAIRY SCIENCE, 2014, 97 (10) : 6085 - 6096
  • [47] Sharing of photobionts in sympatric populations of Thamnolia and Cetraria lichens: evidence from high-throughput sequencing
    Ioana Onuț-Brännström
    Mitchell Benjamin
    Douglas G. Scofield
    Starri Heiðmarsson
    Martin G. I. Andersson
    Eva S. Lindström
    Hanna Johannesson
    Scientific Reports, 8
  • [48] Sharing of photobionts in sympatric populations of Thamnolia and Cetraria lichens: evidence from high-throughput sequencing
    Onut-Brannstrom, Ioana
    Benjamin, Mitchell
    Scofield, Douglas G.
    Heidmarsson, Starri
    Andersson, Martin G. I.
    Lindstrom, Eva S.
    Johannesson, Hanna
    SCIENTIFIC REPORTS, 2018, 8
  • [49] High-throughput metabarcoding of eukaryotic diversity for environmental monitoring of offshore oil-drilling activities
    Lanzen, Anders
    Lekang, Katrine
    Jonassen, Inge
    Thompson, Eric M.
    Troedsson, Christofer
    MOLECULAR ECOLOGY, 2016, 25 (17) : 4392 - 4406
  • [50] Comparing the performance of three ancient DNA extraction methods for high-throughput sequencing
    Gamba, Cristina
    Hanghoj, Kristian
    Gaunitz, Charleen
    Alfarhan, Ahmed H.
    Alquraishi, Saleh A.
    Al-Rasheid, Khaled A. S.
    Bradley, Daniel G.
    Orlando, Ludovic
    MOLECULAR ECOLOGY RESOURCES, 2016, 16 (02) : 459 - 469