Ecological genomics in the Northern krill uncovers loci for local adaptation across ocean basins

Per Unneberg, Mårten Larsson, Anna Olsson, Ola Wallerman, Anna Petri, Ignas Bunikis, Olga Vinnere Pettersson, Chiara Papetti, Astthor Gislason, Henrik Glenner, Joan E. Cartes, Leocadio Blanco-Bercial, Elena Eriksen, Bettina Meyer, Andreas Wallberg*

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

2 Citationer (Scopus)
9 Downloads (Pure)

Abstract

Krill are vital as food for many marine animals but also impacted by global warming. To learn how they and other zooplankton may adapt to a warmer world we studied local adaptation in the widespread Northern krill (Meganyctiphanes norvegica). We assemble and characterize its large genome and compare genome-scale variation among 74 specimens from the colder Atlantic Ocean and warmer Mediterranean Sea. The 19 Gb genome likely evolved through proliferation of retrotransposons, now targeted for inactivation by extensive DNA methylation, and contains many duplicated genes associated with molting and vision. Analysis of 760 million SNPs indicates extensive homogenizing gene-flow among populations. Nevertheless, we detect signatures of adaptive divergence across hundreds of genes, implicated in photoreception, circadian regulation, reproduction and thermal tolerance, indicating polygenic adaptation to light and temperature. The top gene candidate for ecological adaptation was nrf-6, a lipid transporter with a Mediterranean variant that may contribute to early spring reproduction. Such variation could become increasingly important for fitness in Atlantic stocks. Our study underscores the widespread but uneven distribution of adaptive variation, necessitating characterization of genetic variation among natural zooplankton populations to understand their adaptive potential, predict risks and support ocean conservation in the face of climate change.

OriginalsprogEngelsk
Artikelnummer6297
TidsskriftNature Communications
Vol/bind15
Antal sider29
ISSN2041-1723
DOI
StatusUdgivet - 2024

Bibliografisk note

Funding Information:
We thank St\u00E9phane Plourde, Genevi\u00E8ve Perrin, Jon R\u00F8nning, Monica B. Martinussen and Katharina Michael for providing samples, the staff at Kristineberg Center for Marine Research and Innovation, Zhen Li for constructive discussion and Jessica Heinze, Sarah Demirkale and Ylva Jondelius for lab assistance. The computations were enabled project SNIC 2022/5-472 provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) and the Swedish National Infrastructure for Computing (SNIC) at UPPMAX and the PDC Center for High Performance Computing partially funded by the Swedish Research Council through grant agreements no. 2022-06725 and no. 2018-05973. This research was supported by a Future research leaders grant awarded by the Swedish Research Council Formas 2017-00413 (A.W.) and by NSF OCE grants 1316040 and 1948162 (L.B.B.). PU was supported by the Knut and Alice Wallenberg Foundation as part of the National Bioinformatics Infrastructure Sweden at SciLifeLab, grant id KAW 2017.0003.

Publisher Copyright:
© The Author(s) 2024.

Citationsformater