Abstract
Salmon lice, Lepeophtheirus salmonis (family Caligidae), are ectoparasites that have negatively impacted the salmon aquaculture industry and vulnerable wild salmon populations. Researchers have studied salmon lice to better understand their biology to develop effective control strategies. In this study, we updated the chromosome-level reference genome assembly of the Pacific subspecies of L. salmonis using Hi-C data. The previous version placed contigs/scaffolds using an Atlantic salmon louse genetic map. By utilizing Hi-C data from Pacific salmon lice, we were able to properly assign locations to contigs/scaffolds previously unplaced or misplaced. This resulted in a more accurate genome assembly and a more comprehensive characterization of the sex chromosome unique to females (W). We found evidence that the same ZW-ZZ mechanism is common in both Atlantic and Pacific subspecies of salmon lice using PCR assays. The W chromosome was approximately 800 kb in size, which is ∼30 times smaller than the Z chromosome (24 Mb). The W chromosome contained 61 annotated genes, including 32 protein-coding genes, 27 long noncoding RNA (lncRNA) genes, and 2 pseudogenes. Among these 61 genes, 39 genes shared homology to genes found on other chromosomes, while 20 were unique to the W chromosome. Two genes of interest on the W chromosome, prohibitin-2 and kinase suppressor of ras-2, were previously identified as potential sex-linked markers in the salmon louse. However, we prioritized the 20 unique genes on the W chromosome as sex-determining candidates. This information furthers our understanding of the biology of this ectoparasite and may help in the development of more effective management strategies.
Keywords: sea lice, Pacific, farmed salmon, ocean, parasite, ZW sex determination
Introduction
The salmon louse (Lepeophtheirus salmonis) is a copepod species in the Caligidae family, commonly known as sea lice. This ectoparasite feeds on the mucus, skin, blood, and underlying tissue of salmonid species, notably Pacific salmon and trout, in marine environments (Johnson et al. 2004; Boxaspen 2006). This feeding behavior can lead to skin damage, reduced growth, osmotic imbalance, immunosuppression, and bacterial coinfections in salmonid hosts, which consequently increases the risk of mortality (Pike and Wadsworth 1999; Tully and Nolan 2002; Fjelldal et al. 2019; Fjelldal et al. 2020).
Salmon lice infestations have been associated with numerous disease outbreaks and significant economic losses in the salmon aquaculture industry and have been correlated with the decline in vulnerable wild salmonid populations (Pike and Wadsworth 1999; Costello 2006, 2009). Notably, multiple species of sea lice have been observed on numerous Pacific salmon species within the coastal waters of British Columbia, Canada (Beamish et al. 2005).
To mitigate the potentially adverse effects of salmon lice on both salmon restoration efforts and the economy, genetic research is ongoing (Boxaspen 2006; Yasuike et al. 2012). This research has resulted in the production of high-density genetic maps, transcriptomes, and whole-genome resequencing data (Yazawa et al. 2008; Besnier et al. 2014; Messmer et al. 2018; Danzmann et al. 2019), aimed at enhancing our understanding of salmon lice biology and ecology and at developing more effective control strategies. Genome assemblies were also generated for both the Pacific and Atlantic allopatric subspecies of the salmon louse (Messmer et al. 2018; Skern-Mauritzen et al. 2021; Joshi et al. 2022).
Estimates of the salmon louse genome size varied from 665 to 790 Mb (632–790 Mb as of writing) through sequencing techniques and 597–1,600 Mb with cytometric techniques (Wyngaard et al. 2022). From these and related studies, researchers identified 14 autosomes in the salmon louse, and that sex determination followed a genetic ZW-ZZ system (Carmichael et al. 2013; Besnier et al. 2014; Skern-Mauritzen et al. 2021). Furthermore, a sex-linked genetic marker within the coding region of the prohibitin-2 gene was isolated, although its functional role in sex determination was unclear (Carmichael et al. 2013; Messmer et al. 2018; Borchel et al. 2022).
The most recent reference genome assembly (contig N50: ∼4.5 Mb) was generated by placing Pacific salmon louse contigs onto pseudochromosomes utilizing an Atlantic salmon louse genetic map (Danzmann et al. 2019; Joshi et al. 2022). In this study, we generated Hi-C data from a Pacific salmon louse to use for placing contigs instead. This improves the genome assembly by reducing order and orientation issues caused by using a genetic map from a different subspecies (Skern-Mauritzen et al. 2014). We were also able to better characterize the female-specific W chromosome.
Materials and methods
Sampling
As in Joshi et al. (2022), Pacific Ocean salmon lice were collected from an Atlantic salmon farm in March 2022 by employees of the British Columbia Centre for Aquatic Health Sciences. The salmon farm is located near Vancouver Island in British Columbia, Canada. Samples were flash frozen on dry ice until they could be stored at −80°C. Female salmon lice were used for the Hi-C library preparation.
Hi-C library
A Hi-C library was generated by Canada's Michael Smith Genome Sciences Centre (Vancouver, BC, Canada) using the Arima-HiC 2.0 kit (Arima Genomics) according to the manufacturers' instructions. Library products were amplified with 10 reaction cycles using NEBNext Q5 Master Mix (New England Biolabs) supplemented with 2 mM MgSO4. The library was sequenced on the Illumina NovaSeq platform using PE150 sequencing (NCBI accession: SRR24288523).
Genome assembly
We mapped Hi-C reads to the genome assembly produced and submitted to the National Center for Biotechnology Information (NCBI) by Joshi et al. (2022). Contamination previously identified by the NCBI was removed from the genome assembly. Mapping the Hi-C reads to the genome assembly was performed using scripts from Arima Genomics (“mapping_pipeline” 2023). We converted the alignments to Hi-C format using the Matlock program (https://github.com/phasegenomics/matlock) and sorted the links produced by this program using Unix commands. The initial order and orientation of scaffolds was taken from the Joshi et al. (2022) AGP file, converted to assembly format (https://github.com/phasegenomics/juicebox_scripts), and the links were remapped using 3D DNA (Dudchenko et al. 2017). The previous order and orientation was then reviewed in Version 1.11.08 of Juicebox (Rao et al. 2014; Durand et al. 2016). In Juicebox, we manually ordered and oriented the scaffolds. The final assembly was output using scripts from Phase Genomics (https://github.com/phasegenomics/juicebox_scripts).
W chromosome and sex determination
The NCBI annotated the genome assembly from Joshi et al. (2022), and these annotations were utilized to identify genes on the W chromosome. We used BLAST to identify if there were homologous genes on other chromosomes (Altschul et al. 1990). Potentially, a sex-determining gene could be unique to the W chromosome, as SRY in the XX-XY system in mammals (Gubbay et al. 1990; Sinclair et al. 1990), or the sex-determining gene could be duplicates of an autosomal gene (Song et al. 2021). Since the W chromosome is smaller in size compared to the Z chromosome, analogous to the Y chromosome in mammals, we prioritized identifying genes that were unique to the W chromosome as sex-determining candidates. Homologous proteins and RNA sequences were interrogated with BLASTN (minimum query coverage: 85%, minimum percent identity: 50%) using default parameters. Genes with and without homologs were visualized using Circos (Krzywinski et al. 2009). Genes that were unique to the W chromosome were considered potential sex-determining genes.
Unique W chromosome gene verification
To determine if these unique genes on the W chromosome could be used as sex-specific markers, we designed primers for a subset of the protein-coding genes (Supplementary Table 1) using NCBI Primer-BLAST (Ye et al. 2012). We tested the primers using isolated genomic DNA from phenotypically sexed adult males and females of the Pacific and Atlantic subspecies (Supplementary Table 2). Pacific salmon louse specimens were collected from 2 aquaculture sites on Vancouver Island, British Columbia, Canada, from 2010 to 2014, and the Atlantic salmon lice were collected off the western coast of Greenland in 2011. Pacific salmon lice samples were previously described in Messmer et al. (2018). In addition to these primers, we developed primers for the previously identified sex-linked marker Prohibitin-2 (Carmichael et al. 2013).
The cephalothorax was removed from salmon louse samples preserved in ethanol. The tissue was homogenized using the Qiagen TissueLyser, and DNA was extracted following the Qiagen supplementary protocol Purification of total DNA from insects using the DNeasy Blood and Tissue kit. DNA was amplified for each primer set using ProMega GoTaq Hot Start Polymerase using the reagents and thermocycling conditions described in Supplementary Table 3. A nontemplate control was included for each reaction. PCR products were visualized on 2% TAE agarose gels stained with SYBR safe. If the gene was sex specific, an amplified product of the correct size would be present in the females and absent in the male specimens. In total, 40 DNA samples were tested per primer set.
Results and discussion
We produced an improved chromosome-level reference genome assembly of the Pacific subspecies of L. salmonis by placing Pacific salmon louse contigs using Hi-C data generated from the same subspecies. The new salmon louse genome assembly (UVic_Lsal_1.3) is 647 Mb long, comprised of 8,687 contigs (N50 = 4,499,711) and 8,329 scaffolds (N50 = 47,531,287). These metrics were similar to the genome assembly reported by Joshi et al. (2022) (Table 1).
Table 1.
Genome sequencing and assembly results for the updated L. salmonis genome assembly (UVic Lsal_1.3) compared to the previous version (UVic_Lsal_1.2) generated by Joshi et al. (2022).
| Assembly statistics | Current UVic_Lsal_1.3 | Recently published UVic_Lsal_1.2 |
|---|---|---|
| Total sequence length | 647,212,781 | 647,191,672 |
| Total ungapped length | 647,177,035 | 647,131,226 |
| Gaps between scaffolds | 0 | 0 |
| Number of scaffolds | 8,329 | 8,066 |
| Scaffold N50 | 47,531,287 | 48,457,437 |
| Scaffold L50 | 6 | 6 |
| Number of contigs | 8,687 | 8,671 |
| Contig N50 | 4,499,711 | 4,499,712 |
| Contig L50 | 44 | 44 |
| Total number of chromosomes | 16 | 15 |
| Number of component sequences | 8,685 | 8,699 |
We were able to manually incorporate previously unplaced or misplaced contigs by using the Pacific salmon lice Hi-C data (Table 1 and Fig. 1). Chromosome-specific variations were observed; certain chromosomes exhibited minor changes, whereas others showed a significant improvement in the order and orientation of contigs (Fig. 1). Sixteen pseudochromosomes were constructed for the Pacific salmon louse, comprised of 14 autosomes and the Z and W sex chromosomes (Fig. 2).
Fig. 1.
Juicebox contact map of chromosome 4 of the Pacific salmon louse. Contact map a) was produced using the previous genome assembly, which was scaffolded using an Atlantic salmon louse subspecies genetic map. Contact map b) of new genome assembly using the Pacific salmon louse Hi-C data.
Fig. 2.
Circos plot of protein-coding and lncRNA genes on the W chromosome (800,023 bp) aligned to the remainder of the Pacific salmon louse genome assembly. Linkage groups with marks every million base pairs were drawn on the outer edge of the Circos plot. The W chromosome and Z chromosome were magnified by 800× and 26×, respectively, in order to display more detail. Protein-coding and lncRNA genes found on the W chromosome with a single ortholog or paralog in the remainder of the genome are shown with links between them. Potential sex-determining protein-coding genes (orange/darker shade) and lncRNA genes (white) are also indicated on the W chromosome and listed in order in Table 2. An overlapping protein-coding gene was placed on the outside of the main plot.
In the previous genome assembly, 3 scaffolds were identified as part of the W chromosome (Joshi et al. 2022). This was based on the absence of these scaffolds in males and their high homology to genes found on the Z chromosome (Joshi et al. 2022). In this updated version, we successfully incorporated these scaffolds, along with several others, to the W chromosome (Table 2). These contigs were previously unplaced or incorrectly positioned on chromosome 13. Contigs that were misplaced on chromosome 13 are designated by an asterisk in Table 2.
Table 2.
Contigs positioned on the W chromosome and the number of annotated genes present on each contig.
| Accession | Number of genes present |
|---|---|
| JADKYV010006968 | 7 |
| JADKYV010005591 | 18 |
| JADKYV010004739* | 5 |
| JADKYV010006545 | 0 |
| JADKYV010007195* | 11 |
| JADKYV010000915 | 19 |
| JADKYV010006546 | 0 |
| JADKYV010006547 | 0 |
| JADKYV010006548 | 0 |
| JADKYV010006549 | 0 |
| JADKYV010007267 | 1 |
Gene annotations were based on the previous genome assembly (UVic_Lsal_1.2), as the most recent version (UVic_Lsal_1.3) was not annotated at the time of writing. Two contigs were misplaced on chromosome 13 in the previous version and are indicated by an asterisk (*).
The W chromosome was 800,023 bp in size, ∼30 times smaller than the Z chromosome (24,027,865 bp). The W chromosome contained 61 annotated genes, including 32 protein-coding genes, 27 long noncoding RNA (lncRNA) genes, and 2 pseudogenes (Supplementary Table 4). These annotations are based on version 1.2 of the salmon louse (UVic_Lsal_1.2) genome assembly, as the most recent genome (UVic_Lsal_1.3) remains unannotated at the time of writing. Among these 61 genes, 39 shared homology to genes found on other chromosomes, 2 were pseudogenes, while 20 genes were unique to the W chromosome (Fig. 2 and Table 3; Supplementary File 1).
Table 3.
Potential sex-determining genes present on the W chromosome of the Pacific salmon louse.
| Gene type | GeneID | Location | Gene description |
|---|---|---|---|
| Low-quality protein | NW_024052999.1 (58874..61041, complement) | luc7-like protein 3 | |
| Protein | NW_024052999.1 (92704..95487, complement) | Uncharacterized protein LOC121131425 | |
| lncRNA | NW_024051983.1 (33337..34615) | Uncharacterized LOC121131294 | |
| Protein | NW_024051983.1 (38865..41467) | Cilia- and flagella-associated protein 20 | |
| lncRNA | NW_024051983.1 (50013..50645) | Uncharacterized LOC121131298 | |
| lncRNA | Isoform X2 | NW_024051983.1 (63372..69254, complement) | Uncharacterized LOC121131296 |
| Protein | Isoform X1 | NW_024051983.1 (73937..77117, complement) | Uncharacterized protein LOC121131305 |
| lncRNA | NC_052143.1 (35813407..35815159)* | Uncharacterized LOC121128254 | |
| Protein | NC_052143.1 (35755653..35757282, complement)* | Transcription initiation factor TFIID subunit 8-like | |
| Low-quality protein | NC_052143.1 (35922021..35953669)* | Mitogen-activated protein kinase kinase kinase 9-like | |
| lncRNA | NW_024048138.1 (47782..49211, complement) | Uncharacterized LOC121130969 | |
| Protein | NW_024048138.1 (60968..70124) | Transcription factor Sox-7-like | |
| Protein | NW_024048138.1 (61226..73503) | Uncharacterized LOC121130980 | |
| lncRNA | NW_024048138.1 (75749..84878, complement) | Uncharacterized LOC121130976 | |
| lncRNA | NW_024048138.1 (92303..94255) | Uncharacterized LOC121130982 | |
| lncRNA | NW_024048138.1 (118169..128671, complement) | Uncharacterized LOC121130985 | |
| Protein | Isoform X2 | NW_024048138.1 (128797..132358) | Troponin I-like |
| lncRNA | NW_024048138.1 (168014..169600, complement) | Uncharacterized LOC121130977 | |
| Protein | NW_024048138.1 (169815..172782, complement) | G1/S-specific cyclin-E-like | |
| Protein | Isoform X1 | NW_024048138.1 (173272..178007) | G1/S-specific cyclin-E-lik |
We identified homologous genes of W chromosome genes on other chromosomes using a blastn search on the NCBI. We considered a gene to be a sex-determining candidate if it only aligned to the W chromosome and no other location (criteria of homologous gene: query coverage ≥ 85%, percent identity ≥ 50%). Annotated genes were based on the previous genome assembly (UVic_Lsal_1.2)—2 contigs for the W chromosome were misplaced on chromosome 13 in the previous version and are indicated by an asterisk (*). The order of potential sex-determining genes is schematically shown on Fig. 2 (Circos plot). We designed primers for the protein-coding genes labeled in bold.
Two genes of interest located on the W chromosome, prohibitin-2 and kinase suppressor of ras-2, were previously identified as potential sex-specific markers in the salmon louse (Carmichael et al. 2013; Messmer et al. 2018). Our analysis revealed that both genes had homologs/orthologs on the Z chromosome, suggesting that these genes may not be sex determining. While it is possible to design sex-specific markers of the prohibitin-2 gene by targeting specific regions (Supplementary File 2; Carmichael et al. 2013; Messmer et al. 2018; Borchel et al. 2022), these genes are not specific to the W chromosome. We identified 20 genes unique to the W chromosome that are more promising sex-determining gene candidates.
The majority of the sex-specific genes were uncharacterized, but some were characterized. These included luc7-like protein 3, mitogen-activated protein kinase kinase kinase, G1/S-specific cyclin-E-like, cilia- and flagella-associated protein 20, transcription factor Sox-7-like, and troponin I-like. Several of these genes were previously reported as potential sex-specific markers and may have a functional role in sex determination (Messmer et al. 2018; Borchel et al. 2022).
We designed sex-specific markers for 4 of the sex-determining candidates, which included G1/S-specific cyclin E-like and 3 uncharacterized protein-coding genes. Using these genetic markers, we successfully identified the sex of our salmon lice samples for both subspecies across all markers (Supplementary File 2). Only 1 Atlantic male was not able to be sexed genetically using the G1/S-specific cyclin E-like marker and LOC121131305 primer set. This was caused by unsuccessful PCR amplifications. All 20 female samples amplified the W chromosome markers we designed, and 19 males did not across 3 Pacific and 1 Atlantic Ocean sampling locations. These findings suggest that these unique genes on the W chromosome can be used to determine the genetic sex of salmon lice, and this is a common mechanism between subspecies. Further research is necessary to determine the functional relationship of these genes and sex determination.
The identification of sex determination genetic pathways could be a component for the development of population suppression technologies (e.g. Siddall et al. 2022). Genetic pest management (GPM) is a technology that uses the natural mating system of the pest species to introduce into the target population traits that will either reduce their numbers or their ability to cause damage (Leftwich et al. 2021; Siddall et al. 2022). The most commonly used methods in GPM for suppression include the sterile insect technique (SIT; Knipling 1955), genetic modification (Siddall et al. 2022), or the use of gene drives (Champer et al. 2016). GPM shows promise for controlling pest populations in a more targeted and sustainable manner compared to traditional methods like chemical therapeutants while minimizing potential harm to the surrounding environment and nontarget species.
Developing alternative methods for controlling salmon lice is important since the aquaculture industry was over reliant on existing chemical treatments, resulting in resistance to the majority of available therapeutants (reviewed in Aaen et al. 2015). For example, resistance to emamectin benzoate (EMB) has been reported in all major Atlantic salmon farming industries around the world (Bravo et al. 2008; Lees et al. 2008; Jones et al. 2012; Lam et al. 2020; Godwin et al. 2022). Additionally, Poley et al. (2015) observed different reactions between male and female salmon lice to EMB; males demonstrated a higher tolerance to EMB compared to females (Poley et al. 2015). This emphasizes the pressing need to explore alternative, sustainable approaches for managing sea lice.
We updated the reference genome assembly for the Pacific salmon louse by reducing order and orientation issues caused by using a genetic map generated from Atlantic salmon lice. Our investigation led to a more comprehensive characterization of the W chromosome and the identification of 20 unique genes that are sex-determining candidates. However, further studies are essential to fully elucidate the functionalities of these genes in the context of sex determination.
Supplementary Material
Acknowledgments
The authors would like to thank the British Columbia Centre for Aquatic Health Science, Mark Renkawitz from NOAA, and Marine Harvest for supplying salmon lice samples. The authors would also like to acknowledge the computational resources supplied by the Digital Research Alliance of Canada.
Contributor Information
Anne-Marie Flores, Department of Biology, University of Victoria, Victoria, BC V8W 2Y2, Canada.
Kris A Christensen, Department of Biology, University of Victoria, Victoria, BC V8W 2Y2, Canada.
Ahmed Siah, British Columbia Centre for Aquatic Health Sciences, Campbell River, BC V9W 2C2, Canada.
Ben F Koop, Department of Biology, University of Victoria, Victoria, BC V8W 2Y2, Canada.
Data availability
The genome assembly is available in the NCBI database under the following accession number: GCA_016086655.4. The Hi-C raw reads are available under SRR24288523.
Supplemental material available at G3 online.
Funding
The project was supported by the Natural Sciences and Engineering Research Council of Canada.
Literature cited
- Aaen SM, Helgesen KO, Bakke MJ, Kaur K, Horsberg TE. 2015. Drug resistance in sea lice: a threat to salmonid aquaculture. Trends Parasitol. 31(2):72–81. doi: 10.1016/j.pt.2014.12.006. [DOI] [PubMed] [Google Scholar]
- Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. 1990. Basic local alignment search tool. J Mol Biol. 215(3):403–410. doi: 10.1016/S0022-2836(05)80360-2. [DOI] [PubMed] [Google Scholar]
- ArimaGenomics/mapping_pipeline [Internet]. Arima Genomics, Inc.; 2021 [cited 2021 May 19]. Available from: https://github.com/ArimaGenomics/mapping_pipeline.
- Beamish RJ, Neville CM, Sweeting RM, Ambers N. 2005. Sea lice on adult Pacific salmon in the coastal waters of Central British Columbia, Canada. Fish Res. 76(2):198–208. doi: 10.1016/j.fishres.2005.06.007. [DOI] [Google Scholar]
- Besnier F, Kent M, Skern-Mauritzen R, Lien S, Malde K, Edvardsen RB, Taylor S, Ljungfeldt LE, Nilsen F, Glover KA. 2014. Human-induced evolution caught in action: SNP-array reveals rapid amphi-atlantic spread of pesticide resistance in the salmon ecotoparasite Lepeophtheirus salmonis. BMC Genomics 15(1):937. doi: 10.1186/1471-2164-15-937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Borchel A, Komisarczuk AZ, Nilsen F. 2022. Sex differences in the early life stages of the salmon louse Lepeophtheirus salmonis (Copepoda: Caligidae). PLoS One 17(3):e0266022. doi: 10.1371/journal.pone.0266022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Boxaspen K. 2006. A review of the biology and genetics of sea lice. ICES J Mar Sci. 63(7):1304–1316. doi: 10.1016/j.icesjms.2006.04.017. [DOI] [Google Scholar]
- Bravo S, Sevatdal S, Horsberg TE. 2008. Sensitivity assessment of Caligus rogercresseyi to emamectin benzoate in Chile. Aquaculture 282(1-4):7–12. doi: 10.1016/j.aquaculture.2008.06.011. [DOI] [Google Scholar]
- Carmichael SN, Bekaert M, Taggart JB, Christie HRL, Bassett DI, Bron JE, Skuce PJ, Gharbi K, Skern-Mauritzen R, Sturm A. 2013. Identification of a sex-linked SNP marker in the salmon louse (Lepeophtheirus salmonis) using RAD sequencing. PLoS One 8(10):e77832. doi: 10.1371/journal.pone.0077832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Champer J, Buchman A, Akbari OS. 2016. Cheating evolution: engineering gene drives to manipulate the fate of wild populations. Nat Rev Genet. 17(3):146–159. doi: 10.1038/nrg.2015.34. [DOI] [PubMed] [Google Scholar]
- Costello MJ. 2006. Ecology of sea lice parasitic on farmed and wild fish. Trends Parasitol. 22(10):475–483. doi: 10.1016/j.pt.2006.08.006. [DOI] [PubMed] [Google Scholar]
- Costello MJ. 2009. The global economic cost of sea lice to the salmonid farming industry. J Fish Dis. 32(1):115–118. doi: 10.1111/j.1365-2761.2008.01011.x. [DOI] [PubMed] [Google Scholar]
- Danzmann RG, Norman JD, Rondeau EB, Messmer AM, Kent MP, Lien S, Igboeli O, Fast MD, Koop BF. 2019. A genetic linkage map for the salmon louse (Lepeophtheirus salmonis): evidence for high male:female and inter-familial recombination rate differences. Mol Genet Genomics MGG. 294(2):343–363. doi: 10.1007/s00438-018-1513-7. [DOI] [PubMed] [Google Scholar]
- Dudchenko O, Batra SS, Omer AD, Nyquist SK, Hoeger M, Durand NC, Shamim MS, Machol I, Lander ES, Aiden AP, et al. 2017. De novo assembly of the Aedes aegypti genome using Hi-C yields chromosome-length scaffolds. Science 356(6333):92–95. doi: 10.1126/science.aal3327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Durand NC, Shamim MS, Machol I, Rao SSP, Huntley MH, Lander ES, Aiden EL. 2016. Juicer provides a one-click system for analyzing loop-resolution Hi-C experiments. Cell Syst. 3(1):95–98. doi: 10.1016/j.cels.2016.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fjelldal PG, Hansen TJ, Karlsen Ø. 2020. Effects of laboratory salmon louse infection on osmoregulation, growth and survival in Atlantic salmon. Conserv Physiol. 8(1):coaa023. doi: 10.1093/conphys/coaa023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fjelldal PG, Hansen TJ, Karlsen Ø, Wright DW. 2019. Effects of laboratory salmon louse infection on Arctic char osmoregulation, growth and survival. Conserv Physiol. 7(1):coz072. doi: 10.1093/conphys/coz072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Godwin SC, Bateman AW, Kuparinen A, Johnson R, Powell J, Speck K, Hutchings JA. 2022. Salmon lice in the Pacific Ocean show evidence of evolved resistance to parasiticide treatment. Sci Rep. 12(1):4775. doi: 10.1038/s41598-022-07464-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gubbay J, Collignon J, Koopman P, Capel B, Economou A, Münsterberg A, Vivian N, Goodfellow P, Lovell-Badge R. 1990. A gene mapping to the sex-determining region of the mouse Y chromosome is a member of a novel family of embryonically expressed genes. Nature 346(6281):245–250. doi: 10.1038/346245a0. [DOI] [PubMed] [Google Scholar]
- Johnson SC, Treasurer JW, Bravo S, Nagasawa K, Kabata Z. 2004. A review of the impact of parasitic copepods on marine aquaculture. Zool Stud. 43:229–243. [Google Scholar]
- Jones PG, Hammell KL, Dohoo IR, Revie CW. 2012. Effectiveness of emamectin benzoate for treatment of Lepeophtheirus salmonis on farmed Atlantic salmon Salmo salar in the Bay of Fundy, Canada. Dis Aquat Organ. 102(1):53–64. doi: 10.3354/dao02517. [DOI] [PubMed] [Google Scholar]
- Joshi J, Flores A-M, Christensen KA, Johnson H, Siah A, Koop BF. 2022. An update of the salmon louse (Lepeophtheirus salmonis) reference genome assembly. G3 (Bethesda). 12:jkac087. doi: 10.1093/g3journal/jkac087 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Knipling EF. 1955. Possibilities of insect control or eradication through the use of sexually sterile males. J Econ Entomol. 48(4):459–462. doi: 10.1093/jee/48.4.459. [DOI] [Google Scholar]
- Krzywinski M, Schein J, Birol I, Connors J, Gascoyne R, Horsman D, Jones SJ, Marra MA. 2009. Circos: an information aesthetic for comparative genomics. Genome Res. 19(9):1639–1645. doi: 10.1101/gr.092759.109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lam CT, Rosanowski SM, Walker M, St-Hilaire S. 2020. Sea lice exposure to non-lethal levels of emamectin benzoate after treatments: a potential risk factor for drug resistance. Sci Rep. 10(1):Article 932. doi: 10.1038/s41598-020-57594-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lees F, Baillie M, Gettinby G, Revie CW. 2008. The efficacy of emamectin benzoate against infestations of Lepeophtheirus salmonis on farmed Atlantic salmon (Salmo salar L) in Scotland, 2002–2006. PLoS One 3(2):e1549. doi: 10.1371/journal.pone.0001549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leftwich PT, Spurgin LG, Harvey-Samuel T, Thomas CJE, Paladino LC, Edgington MP, Alphey L. 2021. Genetic pest management and the background genetics of release strains. Philos Trans R Soc B Biol Sci. 376(1818):20190805. doi: 10.1098/rstb.2019.0805. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Messmer AM, Leong JS, Rondeau EB, Mueller A, Despins CA, Minkley DR, Kent MP, Lien S, Boyce B, Morrison D, et al. 2018. A 200K SNP chip reveals a novel Pacific salmon louse genotype linked to differential efficacy of Emamectin benzoate. Mar Genomics. 40:45–57. doi: 10.1016/j.margen.2018.03.005. [DOI] [PubMed] [Google Scholar]
- Pike AW, Wadsworth SL. 1999. Sealice on salmonids: their biology and control. In: Baker JR, Muller R, Rollinson D, editors. Advances in Parasitology. San Diego (CA): Academic Press. p. 233–337. [DOI] [PubMed] [Google Scholar]
- Poley JD, Igboeli OO, Fast MD. 2015. Towards a consensus: multiple experiments provide evidence for constitutive expression differences among sexes and populations of sea lice (Lepeophtheirus salmonis) related to emamectin benzoate resistance. Aquaculture 448:445–450. doi: 10.1016/j.aquaculture.2015.06.026. [DOI] [Google Scholar]
- Rao SSP, Huntley MH, Durand NC, Stamenova EK, Bochkov ID, Robinson JT, Sanborn AL, Machol I, Omer AD, Lander ES, et al. 2014. A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping. Cell 159(7):1665–1680. doi: 10.1016/j.cell.2014.11.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Siddall A, Harvey-Samuel T, Chapman T, Leftwich PT. 2022. Manipulating insect sex determination pathways for genetic pest management: opportunities and challenges. Front Bioeng Biotechnol. 10:867851. doi: 10.3389/fbioe.2022.867851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sinclair AH, Berta P, Palmer MS, Hawkins JR, Griffiths BL, Smith MJ, Foster JW, Frischauf AM, Lovell-Badge R, Goodfellow PN. 1990. A gene from the human sex-determining region encodes a protein with homology to a conserved DNA-binding motif. Nature 346(6281):240–244. doi: 10.1038/346240a0. [DOI] [PubMed] [Google Scholar]
- Skern-Mauritzen R, Malde K, Eichner C, Dondrup M, Furmanek T, Besnier F, Komisarczuk AZ, Nuhn M, Dalvin S, Edvardsen RB, et al. 2021. The salmon louse genome: copepod features and parasitic adaptations. Genomics 113(6):3666–3680. doi: 10.1016/j.ygeno.2021.08.002. [DOI] [PubMed] [Google Scholar]
- Skern-Mauritzen R, Torrissen O, Glover KA. 2014. Pacific and Atlantic Lepeophtheirus salmonis (Krøyer, 1838) are allopatric subspecies: Lepeophtheirus salmonis salmonis and L. salmonis oncorhynchi subspecies novo. BMC Genet. 15(1):32. doi: 10.1186/1471-2156-15-32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Song W, Xie Y, Sun M, Li X, Fitzpatrick CK, Vaux F, O’Malley KG, Zhang Q, Qi J, He Y. 2021. A duplicated amh is the master sex-determining gene for Sebastes rockfish in the Northwest Pacific. Open Biol. 11(7):210063. doi: 10.1098/rsob.210063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tully O, Nolan DT. 2002. A review of the population biology and host–parasite interactions of the sea louse Lepeophtheirus salmonis (Copepoda: Caligidae). Parasitology 124(7):165–182. doi: 10.1017/S0031182002001889. [DOI] [PubMed] [Google Scholar]
- Wyngaard GA, Skern-Mauritzen R, Malde K, Prendergast R, Peruzzi S. 2022. The salmon louse genome may be much larger than sequencing suggests. Sci Rep. 12(1):6616. doi: 10.1038/s41598-022-10585-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yasuike M, Leong J, Jantzen SG, von Schalburg KR, Nilsen F, Jones SRM, Koop BF. 2012. Genomic resources for sea lice. Analysis of ESTs and mitochondrial genomes. Mar Biotechnol. 14(2):155–166. doi: 10.1007/s10126-011-9398-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yazawa R, Yasuike M, Leong J, von Schalburg KR, Cooper GA, Beetz-Sargent M, Robb A, Davidson WS, Jones SR, Koop BF. 2008. EST and mitochondrial DNA sequences support a distinct pacific form of salmon louse, Lepeophtheirus salmonis. Mar Biotechnol. 10(6):741–749. doi: 10.1007/s10126-008-9112-y. [DOI] [PubMed] [Google Scholar]
- Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, Madden TL. 2012. Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinformatics 13(1):134. doi: 10.1186/1471-2105-13-134. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The genome assembly is available in the NCBI database under the following accession number: GCA_016086655.4. The Hi-C raw reads are available under SRR24288523.
Supplemental material available at G3 online.


