Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Weak population genetic structure in Eurasian spruce bark beetle over large regional scales in Sweden

Ellerstrand, Simon Jacobsen LU orcid ; Choudhury, Shruti LU ; Svensson, Kajsa ; Andersson, Martin N. LU ; Kirkeby, Carsten ; Powell, Daniel LU ; Schlyter, Fredrik ; Jönsson, Anna Maria LU ; Brydegaard, Mikkel LU and Hansson, Bengt LU orcid , et al. (2022) In Ecology and Evolution 12(7).
Abstract

The Eurasian spruce bark beetle, Ips typographus, is a major pest, capable of killing spruce forests during large population outbreaks. Recorded dispersal distances of individual beetles are typically within hundreds of meters or a few kilometers. However, the connectivity between populations at larger distances and longer time spans and how this is affected by the habitat is less studied, despite its importance for understanding at which distances local outbreaks may spread. Previous population genetic studies in I. typographus typically used low resolution markers. Here, we use genome-wide data to assess population structure and connectivity of I. typographus in Sweden. We used 152 individuals from 19 population samples, distributed... (More)

The Eurasian spruce bark beetle, Ips typographus, is a major pest, capable of killing spruce forests during large population outbreaks. Recorded dispersal distances of individual beetles are typically within hundreds of meters or a few kilometers. However, the connectivity between populations at larger distances and longer time spans and how this is affected by the habitat is less studied, despite its importance for understanding at which distances local outbreaks may spread. Previous population genetic studies in I. typographus typically used low resolution markers. Here, we use genome-wide data to assess population structure and connectivity of I. typographus in Sweden. We used 152 individuals from 19 population samples, distributed over 830 km from Strömsund (63° 46′ 8″ N) in the north to Nyteboda (56° 8′ 50″ N) in the south, to capture processes at a large regional scale, and a transect sampling design adjacent to a recent outbreak to capture processes at a smaller scale (76 km). Using restriction site-associated DNA sequencing (RADseq) markers capturing 1409–1997 SNPs throughout the genome, we document a weak genetic structure over the large scale, potentially indicative of high connectivity with extensive gene flow. No differentiation was detected at the smaller scale. We find indications of isolation-by-distance both for relative (FST) and absolute divergence (Dxy). The two northernmost populations are most differentiated from the remaining populations, and diverge in parallel to the southern populations for a set of outlier loci. In conclusion, the population structure of I. typographus in Sweden is weak, suggesting a high capacity to disperse and establish outbreak populations in new territories.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and , et al. (More)
; ; ; ; ; ; ; ; ; and (Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
bark beetle, connectivity, gene flow, Ips typographus, migration, pest management, population structure
in
Ecology and Evolution
volume
12
issue
7
article number
e9078
pages
12 pages
publisher
Wiley-Blackwell
external identifiers
  • pmid:35822111
  • scopus:85135070483
ISSN
2045-7758
DOI
10.1002/ece3.9078
language
English
LU publication?
yes
id
744cf38a-7da9-4b19-bb49-0432f23b919f
date added to LUP
2022-10-28 13:50:11
date last changed
2024-06-13 22:06:42
@article{744cf38a-7da9-4b19-bb49-0432f23b919f,
  abstract     = {{<p>The Eurasian spruce bark beetle, Ips typographus, is a major pest, capable of killing spruce forests during large population outbreaks. Recorded dispersal distances of individual beetles are typically within hundreds of meters or a few kilometers. However, the connectivity between populations at larger distances and longer time spans and how this is affected by the habitat is less studied, despite its importance for understanding at which distances local outbreaks may spread. Previous population genetic studies in I. typographus typically used low resolution markers. Here, we use genome-wide data to assess population structure and connectivity of I. typographus in Sweden. We used 152 individuals from 19 population samples, distributed over 830 km from Strömsund (63° 46′ 8″ N) in the north to Nyteboda (56° 8′ 50″ N) in the south, to capture processes at a large regional scale, and a transect sampling design adjacent to a recent outbreak to capture processes at a smaller scale (76 km). Using restriction site-associated DNA sequencing (RADseq) markers capturing 1409–1997 SNPs throughout the genome, we document a weak genetic structure over the large scale, potentially indicative of high connectivity with extensive gene flow. No differentiation was detected at the smaller scale. We find indications of isolation-by-distance both for relative (F<sub>ST</sub>) and absolute divergence (Dxy). The two northernmost populations are most differentiated from the remaining populations, and diverge in parallel to the southern populations for a set of outlier loci. In conclusion, the population structure of I. typographus in Sweden is weak, suggesting a high capacity to disperse and establish outbreak populations in new territories.</p>}},
  author       = {{Ellerstrand, Simon Jacobsen and Choudhury, Shruti and Svensson, Kajsa and Andersson, Martin N. and Kirkeby, Carsten and Powell, Daniel and Schlyter, Fredrik and Jönsson, Anna Maria and Brydegaard, Mikkel and Hansson, Bengt and Runemark, Anna}},
  issn         = {{2045-7758}},
  keywords     = {{bark beetle; connectivity; gene flow; Ips typographus; migration; pest management; population structure}},
  language     = {{eng}},
  number       = {{7}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Ecology and Evolution}},
  title        = {{Weak population genetic structure in Eurasian spruce bark beetle over large regional scales in Sweden}},
  url          = {{http://dx.doi.org/10.1002/ece3.9078}},
  doi          = {{10.1002/ece3.9078}},
  volume       = {{12}},
  year         = {{2022}},
}