» Articles » PMID: 26246313

Museum Samples Reveal Rapid Evolution by Wild Honey Bees Exposed to a Novel Parasite

Overview
Journal Nat Commun
Specialty Biology
Date 2015 Aug 7
PMID 26246313
Citations 35
Authors
Affiliations
Soon will be listed here.
Abstract

Understanding genetic changes caused by novel pathogens and parasites can reveal mechanisms of adaptation and genetic robustness. Using whole-genome sequencing of museum and modern specimens, we describe the genomic changes in a wild population of honey bees in North America following the introduction of the ectoparasitic mite, Varroa destructor. Even though colony density in the study population is the same today as in the past, a major loss of haplotypic diversity occurred, indicative of a drastic mitochondrial bottleneck, caused by massive colony mortality. In contrast, nuclear genetic diversity did not change, though hundreds of genes show signs of selection. The genetic diversity within each bee colony, particularly as a consequence of polyandry by queens, may enable preservation of genetic diversity even during population bottlenecks. These findings suggest that genetically diverse honey bee populations can recover from introduced diseases by evolving rapid tolerance, while maintaining much of the standing genetic variation.

Citing Articles

Polygenic response to selection by transgenic Bt-expressing crops in wild Helicoverpa zea and characterization of a major effect locus.

Taylor K, Quackenbush J, Lamberty C, Hamby K, Fritz M BMC Genomics. 2024; 25(1):1247.

PMID: 39725932 PMC: 11670386. DOI: 10.1186/s12864-024-11160-x.


Inferring Long-Term and Short-Term Determinants of Genetic Diversity in Honey Bees: Beekeeping Impact and Conservation Strategies.

Leroy T, Faux P, Basso B, Eynard S, Wragg D, Vignal A Mol Biol Evol. 2024; 41(12).

PMID: 39692632 PMC: 11653568. DOI: 10.1093/molbev/msae249.


Changes in capture availability due to infection can lead to detectable biases in population-level infectious disease parameters.

Holmes I, Durso A, Myers C, Hendry T PeerJ. 2024; 12:e16910.

PMID: 38436008 PMC: 10909344. DOI: 10.7717/peerj.16910.


Signatures of adaptive decreased virulence of deformed wing virus in an isolated population of wild honeybees ().

Ray A, Gordon E, Seeley T, Rasgon J, Grozinger C Proc Biol Sci. 2023; 290(2009):20231965.

PMID: 37876196 PMC: 10598435. DOI: 10.1098/rspb.2023.1965.


Genomes from historical Drosophila melanogaster specimens illuminate adaptive and demographic changes across more than 200 years of evolution.

Shpak M, Ghanavi H, Lange J, Pool J, Stensmyr M PLoS Biol. 2023; 21(10):e3002333.

PMID: 37824452 PMC: 10569592. DOI: 10.1371/journal.pbio.3002333.


References
1.
Kim S, Lohmueller K, Albrechtsen A, Li Y, Korneliussen T, Tian G . Estimation of allele frequency and association mapping using next-generation sequencing data. BMC Bioinformatics. 2011; 12:231. PMC: 3212839. DOI: 10.1186/1471-2105-12-231. View

2.
Tsuruda J, Harris J, Bourgeois L, Danka R, Hunt G . High-resolution linkage analyses to identify genes that influence Varroa sensitive hygiene behavior in honey bees. PLoS One. 2012; 7(11):e48276. PMC: 3487727. DOI: 10.1371/journal.pone.0048276. View

3.
McCallum H, Dobson A . Detecting disease and parasite threats to endangered species and ecosystems. Trends Ecol Evol. 2011; 10(5):190-4. DOI: 10.1016/s0169-5347(00)89050-3. View

4.
Tin M, Economo E, Mikheyev A . Sequencing degraded DNA from non-destructively sampled museum specimens for RAD-tagging and low-coverage shotgun phylogenetics. PLoS One. 2014; 9(5):e96793. PMC: 4020769. DOI: 10.1371/journal.pone.0096793. View

5.
Falcon S, Gentleman R . Using GOstats to test gene lists for GO term association. Bioinformatics. 2006; 23(2):257-8. DOI: 10.1093/bioinformatics/btl567. View