Genomes of skipper butterflies reveal extensive convergence of wing patterns

Autor: Daniel H. Janzen, Jinhui Shen, Winnie Hallwachs, Qian Cong, Nick V. Grishin, Jing Zhang, Wenlin Li
Rok vydání: 2019
Předmět:
Zdroj: Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
0027-8424
DOI: 10.1073/pnas.1821304116
Popis: Significance With decreasing cost, biodiversity genomics can be done by small laboratories, not large centers. Here, we overview the genomic landscape of an entire family of animals. By sequencing 250 representatives of skipper butterflies, we infer their phylogeny and search for genotypic determinants of phenotypic traits. We find that wing patterns are frequently convergent. This likely mimetic convergence is diversified, resulting in five distinct parallel patterns. Each of the five patterns occurs within at least two genera as well as in more distant relatives diverged more than 20 Mya. This work offers an example of how each of the nearly 6,000 families of animals will be studied in the future.
For centuries, biologists have used phenotypes to infer evolution. For decades, a handful of gene markers have given us a glimpse of the genotype to combine with phenotypic traits. Today, we can sequence entire genomes from hundreds of species and gain yet closer scrutiny. To illustrate the power of genomics, we have chosen skipper butterflies (Hesperiidae). The genomes of 250 representative species of skippers reveal rampant inconsistencies between their current classification and a genome-based phylogeny. We use a dated genomic tree to define tribes (six new) and subtribes (six new), to overhaul genera (nine new) and subgenera (three new), and to display convergence in wing patterns that fooled researchers for decades. We find that many skippers with similar appearance are distantly related, and several skippers with distinct morphology are close relatives. These conclusions are strongly supported by different genomic regions and are consistent with some morphological traits. Our work is a forerunner to genomic biology shaping biodiversity research.
Databáze: OpenAIRE