Revisiting museum collections in the genomic era: Potential of MIG-seq for retrieving phylogenetic information from aged minute dry specimens of ants (Hymenoptera: Formicidae) and other small organisms

Katsuyuki Eguchi, Emiko Oguri, Takanori Sasaki, Ayumi Matsuo, Dai Dac Nguyen, Weeyawat Jaitrong, Bakhtiar Effendi Yahya, Zhilin Chen, Rijal Satria, Wendy Yanling Wang, Yoshihisa Suyama

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)

    Abstract

    Multiplexed inter-simple sequence repeat genotyping by sequencing - MIG-seq - is an effective PCR-based method for genome-wide SNP detection using the Next-Generation Sequencing platform, and it provides a potential solution to a central problem in museomics - the difficulties of obtaining useful sequence data from aged specimens with often degraded and / or low yields of DNA. We demonstrate and validate the cost effectiveness and utility of the MIG-seq workflow in obtaining useful and robust sequence data from aged museum specimens. We applied the MIG-seq approach to 55 aged (10 - 23 years old) millimeter-sized dry-mounted specimens of the hyper-diverse ant genus Pheidole. A total of 50,782,736 reads were generated from the 55 samples (259,902 - 3,693,375 reads per sample). The reads corresponded to 36,862 SNPs from 4,849 polymorphic loci; the SNP dataset was then used to construct a Bayesian phylogenetic tree. The topology of the phylogenetic tree was highly compatible with existing knowledge of phylogenetic relationships among species of Pheidole. Therefore, we recommend the MIG-seq method as a cost-effective and highly applicable pipeline for conducting phylogenetic and population genetic studies on aged museum specimens, potentially enhancing the relevance of specimen repositories in general towards modern biodiversity science and conservation biology.

    Original languageEnglish
    Pages (from-to)151-159
    Number of pages9
    JournalMyrmecological News
    Volume30
    DOIs
    Publication statusPublished - 2020 Jun 24

    Keywords

    • Insecta
    • Museomics
    • Next-Generation Sequencing
    • Phylogenetics
    • SNP detection

    ASJC Scopus subject areas

    • Insect Science

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