Abstract
Eurasian brine shrimp (genus Artemia) have closely related sexual and asexual lineages of parthenogenetic females, which produce rare males at low frequencies. Although they are known to have ZW chromosomes, these are not well characterized, and it is unclear whether they are shared across the clade. Furthermore, the underlying genetic architecture of the transmission of asexuality, which can occur when rare males mate with closely related sexual females, is not well understood. We produced a chromosome-level assembly for the sexual Eurasian species Artemia sinica and characterized in detail the pair of sex chromosomes of this species. We combined this new assembly with short-read genomic data for the sexual species Artemia sp. Kazakhstan and several asexual lineages of Artemia parthenogenetica, allowing us to perform an in-depth characterization of sex-chromosome evolution across the genus. We identified a small differentiated region of the ZW pair that is shared by all sexual and asexual lineages, supporting the shared ancestry of the sex chromosomes. We also inferred that recombination suppression has spread to larger sections of the chromosome independently in the American and Eurasian lineages. Finally, we took advantage of a rare male, which we backcrossed to sexual females, to explore the genetic basis of asexuality. Our results suggest that parthenogenesis is likely partly controlled by a locus on the Z chromosome, highlighting the interplay between sex determination and asexuality.
Keywords: sex chromosome, female heterogamety, asexuality, dosage compensation
Introduction
The diversity of reproductive and sex-determining systems has long puzzled evolutionary biologists (Bachtrog et al. 2014; Pennell et al. 2018; Picard et al. 2021). When separate sexes are present, the development of males and females can be controlled by environmental factors or through the presence of sex-determining loci (Beukeboom and Perrin 2014; Bachtrog et al. 2014). These sex determining loci are typically carried by specialized “sex chromosomes,” such as the X and Y chromosomes of mammals. Sex chromosomes initially arise from standard pairs of autosomes, but can progressively stop recombining over much of their length, ultimately resulting in genetic and morphological differentiation (Charlesworth et al. 2005; Wright et al. 2016). Each segment of the sex chromosome pair that stopped recombining at a given timepoint is referred to as a “stratum,” and strata of different ages are often found on the same pair of sex chromosomes (Lahn and Page 1999; Handley et al. 2004). The Y chromosome stops recombining altogether after XY recombination suppression and eventually degenerates, i.e. it accumulates deleterious mutations and can lose many or even all of its genes (Bachtrog 2013). This gene loss leads to dosage deficits in males, since many X-linked genes become single-copy. Mechanisms of dosage compensation often target the X-chromosome and regulate its expression, thereby reestablishing optimal dosage balance of genes across the genome (Charlesworth 1978; Straub and Becker 2007; Vicoso and Bachtrog 2009; Disteche 2016). Alternatively, both the silencing of Y-linked genes and compensation of X-linked genes may arise concurrently as a result of runaway regulatory divergence that sets up and reinforces the predominance of X over Y expression (Lenormand et al. 2020; Lenormand and Roze 2022). Much of our understanding of these processes has come from studying the ancient XY systems of traditional model organisms such as mice and fruit flies. Despite the recent characterization of young sex chromosomes in many nonmodel species (Charlesworth 2019), many questions remain about the earlier stages of sex-chromosome divergence. For example, what molecular mechanisms and selective pressures drive the initial loss of recombination between sex chromosomes (Ponnikas et al. 2018)? Similarly, female-heterogametic species (i.e. females are ZW, males are ZZ) have remained relatively understudied, as they are not found in any of the main model organisms. While parallels exist between the evolution of XY and ZW pairs, such as the progressive loss of recombination and subsequent degradation of the Y/W-chromosomes (Ellegren 2011; Vicoso et al. 2013; Zhou et al. 2014; Picard et al. 2018; Sigeman et al. 2021), some aspects of their evolution seem to differ. In particular, dosage compensation of Z-chromosomes is often limited to a few dosage-sensitive genes [i.e. it works gene-by-gene, as opposed to the chromosome-wide mechanisms found in many XY species (Mank 2013; Rovatsos and Kratochvíl 2021)]. These discrepancies may have to do with systematic differences in selection and mutation between males and females (Vicoso and Bachtrog 2009; Ellegren 2011; Mullon et al. 2015), or may simply be a coincidence due to the few ZW systems characterized in detail at the molecular level (Rovatsos and Kratochvíl 2021).
Although the prevalence of sexual reproduction suggests that it offers long-term advantages, asexual lineages are found in many clades and successfully inhabit a variety of ecological niches (Toman and Flegr 2018). Transitions from sexual to asexual reproduction are frequent (Neiman et al. 2014), and can involve a diversity of mechanisms that disrupt meiosis, such as novel mutations, hybridization of closely related lineages, and polyploidization (Neiman et al. 2014). Asexuality can evolve from any ancestral sex-determining system, including in species with differentiated sex chromosomes (e.g. Schwander and Crespi 2009; Jaquiéry et al. 2014; Mignerot et al. 2019), and understanding the mechanisms underlying these transitions has been a key goal of the field.
In many asexual lineages, males are occasionally produced, and can fertilize closely related sexual females, which then give rise to new asexual lineages (“contagious parthenogenesis”). These crosses have facilitated the use of traditional genetic approaches for understanding the genetic architecture of asexuality (Jaquiéry et al. 2014). Transitions from sexual to asexual reproduction have primarily been studied in animal species where both sexual reproduction and parthenogenesis were ancestrally part of the life cycle, either in the form of cyclical parthenogenesis or haplodiploidy (Neiman et al. 2014). In this case, the loss of sexual reproduction and consequent obligatory parthenogenesis is often controlled by 1 or only a few loci (Lynch et al. 2008; Sandrock and Vorburger 2011; Eads et al. 2012; Jaquiéry et al. 2014; Aumer et al. 2017; Yagound et al. 2020). In the pea aphid, the locus controlling asexuality is found on the X-chromosome (Jaquiéry et al. 2014), and a locus of large effect on parthenogenesis was also found on the UV sex chromosome pair of brown algae Ectocarpus (Mignerot et al. 2019), raising interesting questions about the interplay between the ancestral sex-determining system and contagious parthenogenesis. One direct link between the 2 phenomena is that when asexuals are derived from an ancestral XX/XY or haplodiploid sex-determination systems, rare males can be formed through the loss of an X-chromosome (Kampfraath et al. 2020) or through accidental production of haploid individuals during automixis (Sandrock and Vorburger 2011). Less is known about the creation of rare males when the ancestral sex-determination system was female-heterogamety. More generally, it is unclear if sex chromosomes are a prime spot for the location of genes regulating asexual reproduction, since very few transitions have been characterized in organisms with sex chromosomes.
Brine shrimp of the genus Artemia have both asexual and sexual species (Abatzopoulos 2018), as well as ZW sex chromosomes with putative ancient and recent strata (Bowen 1963; De Vos et al. 2013; Accioly et al. 2014; Huylmans et al. 2019), making them an ideal model for addressing many of these questions. While all American species are sexual, the Eurasian clade consists of a few sexual species (including Artemia sinica, Artemia sp. Kazakhstan, and Artemia urmiana) and of various asexual lineages (collectively refered to as Artemia parthenogenetica, and further referred to by their location of origin) (Van Stappen 2002; Maccari, Amat, et al. 2013). Asexuals vary in ploidy, but only diploid lineages are considered here (Maccari, Amat, et al. 2013). Originally thought of as ancient, these lineages turned out to have arisen recently through hybridization between asexual lineages and individuals from, or closely related to, A. sp. Kazakhstan (Baxevanis et al. 2006; Maccari, Amat, et al. 2013; Rode et al. 2022). In Artemia, such contagious parthenogenesis can occur through the production of rare males by asexual lineages, which can fertilize closely related sexual females (Maccari, Gómez et al. 2013; Abatzopoulos 2018). Furthermore, asexual females can mate with males of sexual species and produce a minority of offspring sexually (Boyer et al. 2021). The ZW pair of Artemia has been mostly studied in the American species Artemia franciscana (Bowen 1963; Parraguez et al. 2009; De Vos et al. 2013; Accioly et al. 2014). Both a small differentiated region and a nonrecombining but largely undifferentiated region were detected, making it an interesting system to understand the first steps leading to ZW divergence (Huylmans et al. 2019). Gene expression in the differentiated region appears to be fully balanced between males and females, but there was limited power to detect changes due to the fragmented nature of the genome (Huylmans et al. 2019). Eurasian lineages also carry a ZW pair (Haag et al. 2017), but whether the same chromosome is used for sex determination across the clade in not known. Because A. parthenogenetica reproduce through central fusion automixis (Nougué et al. 2015), a modified form of meiosis, which allows for loss of heterozygosity when recombination between chromosomes occurs, rare recombination events between the Z and W (which replace part of the W with its Z-linked homologous region) can lead to the creation of rare males (Nougué et al. 2015; Boyer et al. 2022). Finally, the genetic mechanisms behind asexuality, and whether the sex chromosomes play any further role in its evolution, have not yet been explored in detail.
Here, we develop several genomic resources for Artemia lineages, including the first chromosome-level assembly for the Artemia genus (A. sinica), as well as short-read genomic data for A. sp. Kazakhstan and several lineages of A. parthenogenetica (see Supplementary Fig. 1 for a phylogeny of the lineages). Using these data, we are able to provide an in-depth characterization of sex-chromosome evolution across the genus, including identifying an ancient region shared with the American species A. franciscana. Finally, we find evidence that asexuality is likely partly controlled by a locus on the Z chromosome—a first in a ZW sex chromosome system.
Materials and methods
Sampling and DNA extractions
Cysts from A. sinica (originally from Tanggu salterns, PR China), A. sp. Kazakhstan (originally from an unknown location in Kazakhstan), and 2 lineages of A. parthenogenetica [from Lake Aibi (PR China) and from Lake Urmia (Iran)] were obtained from the Instituto de Acuicultura de Torre de la Sal (C.S.I.C.) Artemia cyst collection in Spain, as described in Huylmans et al. (2021). Cysts were hatched under 30 g/l salinity and grown to adulthood under 60 g/l salinity. Some of these F0 individuals were used directly for DNA extractions with the Qiagen DNeasy Blood & Tissue kit. We also set up iso-female lines in A. sinica and A. sp. Kazakhstan, and subjected them to 6 generations of sib–sib mating to reduce the amount of heterozygosity. Male and female individuals from A. sinica and A. sp. Kazakhstan inbred iso-female lines were used individually for DNA extractions with Qiagen DNeasy Blood & Tissue kit. Furthermore, 20 males and 17 females of A. sinica (also from the inbred iso-female line) were pooled and high molecular weight DNA was extracted using the Qiagen Genomic-tip 20/G kit.
DNA short- and long-read sequencing
PacBio libraries were prepared and sequenced at the Vienna Biocenter Sequencing facility for the male and female A. sinica high molecular weight DNA. All other DNA samples were used for Illumina paired-end sequencing. Libraries were prepared and sequenced at the Vienna Biocenter Sequencing Facility. Finally, 1 male was frozen and provided to the sequencing facility for Hi-C library preparation and Illumina sequencing on a NovaSeq machine. The final list of samples, as well as the parts of the analysis that they were used in, are listed in Supplementary Table 1.
Genome assemblies
The male PacBio reads were assembled using 2 different genome assemblers: Flye (v.2.7.1, Kolmogorov et al. 2019) and Miniasm (0.3-r179, minimap2 2.18-r1028-dirty was used for mapping and the consensus was generated using Racon v1.4.22) (Li 2016; Vaser et al. 2017). The Flye assembly was polished using male A. sinica short genomic reads (trimmed with the Trimmomatic package, Bolger et al. 2014), and the Miniasm assembly was polished using the same male short reads using the wtpoa-cns tool from wtdbg2 (version 2.5, Ruan and Li 2020). The 2 assemblies were then merged using quickmerge (version 0.3, Chakraborty et al. 2016) with the Miniasm assembly as the query and the Flye assembly as the reference. The resulting assembly was purged based on the male pacbio read depth to remove duplicates and contig overlaps using the purge_dups program (version 1.2.5, Guan et al. 2020).
To scaffold the assembly into pseudo-chromosomes, PCR duplicates were first removed from the Hi-C data using the clumpify.sh script from the BBMap package (Bushnell 2014), and the Hi-C reads were then mapped to the genome assembly using the Arima mapping pipeline with MAPQ 5 (Arima Genomics 2021) and then scaffolded using the YaHS tool (pre-release of version 1.1, Zhou et al. 2022). The contact maps were visualized and manually edited on Juicebox (version 1.11.08, Robinson et al. 2018) to generate the final chromosome-level assembly.
The female A. sinica genome was assembled from female PacBio reads using Flye (version 2.7.1), and it was not polished to avoid collapsing the Z and the W scaffolds. To identify putative W scaffolds, short genomic reads from 2 A. sinica males and 2 females were mapped to the female assembly using Bowtie2 (Langmead and Salzberg 2012). We then counted how many male and female reads mapped to each scaffold, after filtering for alignments without mismatches (by selecting only mapped reads with the CIGAR string “NM:i:0”). The female-specific k-mers inferred to obtain W-specific transcripts (section Identification of candidate W-genes with k-mer analysis below) were similarly mapped to each scaffold with Bowtie2 and counted. Scaffolds which had more than 5 female-specific k-mers, and more perfect matches in females than in males [male/(male + female) ≤ 0.3] were considered candidates W-derived scaffolds.
The A. sp. Kazakhstan genome was assembled from 2 male short-read libraries with Megahit (v1.1.4, Li et al. 2015) and then scaffolded using SOAPdenovo-fusion (SOAPdenovo2 version 2.04, Luo et al. 2012).
BUSCO (version 5.2.2, Manni et al. 2021) was used to assess the completeness of the genomes generated in this study and the 2 previously published A. franciscana genomes in the genome mode with the arthropoda dataset (arthropoda_odb10).
Estimation of genomic coverage
The short genomic reads were mapped to the genome using bowtie2 (version 2.4.4, Langmead and Salzberg 2012). The uniquely mapped reads were then extracted from the output sam files using grep (grep -vw “XS:i”). SOAP.coverage (version 2.7.7, Luo et al. 2012) was then used to calculate the coverage for each library either using 10,000-bp windows (A. sinica) or per scaffold (other species).
Mapping of A. franciscana markers to the A. sinica genome
The sequences of the A. franciscana SLAF markers were obtained from Han et al. (2021), and the left and right pairs of each marker were mapped to the A. sinica male genome separately using pblat (Wang and Kong 2019). Only the mapping location with the largest match score was kept for each marker.
Mapping of the A. franciscana and A. sp. Kazakhstan genomes to the new A. sinica assembly
We aligned the A. sinica published transcriptome (Huylmans et al. 2021) to both the A. franciscana and to the A. sp. Kazakhstan genomic scaffolds using blat (Standalone BLAT v. 36x2, Kent 2002). For each transcript, we kept only the mapping location with the highest score in each genome (using the customized script 1-besthitblat.pl). When multiple transcripts overlapped by more than 20 bp on the genome, only the transcript with the highest mapping score was kept (2-redremov_blat_v2.pl). We then used the location of the transcripts on the A. sinica genome to infer the location of the A. franciscana and A. sp. Kazakhstan scaffolds based on the transcripts they carried (AssignScaffoldLocation.pl). This script uses a majority rule to assign each scaffold to a chromosome, and then the mean location of genes on that scaffold to infer its final coordinate on the chromosome. All scripts are available on our git page.
F ST between male and female populations
RNA-seq reads from 10 pooled A. sinica males and 10 pooled A. sinica females (from Huylmans et al. 2021), sampled from head, thorax, and gonads, were trimmed with Trimmomatic (Bolger et al. 2014) and pooled by sex, and mapped separately to the male A. sinica reference genome using STAR (Dobin et al. 2013) with default parameters.
The resulting alignments with MAPQ score lower than 20 were filtered out and the remaining alignments were sorted using samtools view and sort functions (Li et al. 2009). Next, a pileup file of male and female alignments was produced using the samtools-mpileup function. Finally, we used scripts from the Popoolation2 package (Kofler et al. 2011) to calculate FST. The mpileup file was reformatted with the Popoolation2 mpileup2sync.pl script, and the resulting synchronized file was used as an input for fst-sliding.pl script. FST between male and female populations was calculated for windows of 1,000 nucleotides, using the fst-sliding.pl script with following options –suppress-noninformative –min-count 3 –min-coverage 10 –max-coverage 200 –min-covered-fraction 0.5 –window-size 1,000 –step-size 1,000 –pool-size 10.
We applied the same pipeline to estimate male:female FST using head and gonad RNA-seq samples obtained from 10 males and 10 females of A. franciscana (from Huylmans et al. 2019). The resulting FST values were plotted based on the inferred location of the genomic scaffolds along the A. franciscana chromosomes (section Mapping of the A. franciscana and A. sp. Kazakhstan genomes to the new A. sinica assembly).
Strata identification
ZW strata were identified based on the A. sinica coverage and FST analyses. First, we detected differentiated regions as any region where the Log2(female/male coverage) dropped below [median(autosomal windows) − 0.5)] for 10 consecutive 10-kB windows; each differentiated region was extended along the chromosome as long as Log2(female/male coverage) did not rise above that threshold for 10 consecutive windows (regions shaded in gray in Fig. 1). The 2 largest differentiated regions were nearly adjacent on the distal end of chromosome 1, and the whole region encompassing them was classified as S0 (no genes were found in the small undifferentiated region between them, such that including it in the S0 did not affect downstream analyses). We used a similar approach to detect regions of increased male:female FST. In this case, only sparse information along the chromosome was obtained [as RNA-seq only provides single-nucleotide polymorphisms (SNPs) for genic regions], and many 1-kb bins were empty. We selected only informative bins and inferred an FST rolling median for 30 bins at a time (the median coordinate for the bins was similarly used as the coordinate for the resulting window). High FST regions were called when 10 consecutive rolling windows were above the 95%-percentile of autosomal windows, and these regions were extended along the chromosome until 10 consecutive windows were below this threshold. This yielded 3 nearly adjacent high FST sections (35.3–38.2, 38.4–67.3, and 68.5–87.7 MB), and the region encompassing them (35.3–87.7 MB) was classified as S1. S1 was further divided into S1a, which showed drops in female:male coverage, and S1b, which did not. The coordinate of the beginning of the first differentiated region within S1 was used as the boundary between them.
Identification of candidate W-genes with k-mer analysis
We used a k-mer-based subtraction approach (Elkrewi et al. 2021) based on the tools included in the BBMap package (Bushnell 2014) on male and female genomic and RNA-seq data from A. franciscana and A. sinica. The pipeline was applied to each species separately. In A. sinica, 2 male and 2 female DNA libraries and 2 whole body RNA-seq replicates for each sex were used (Supplementary Tables 1 and 2). In A. franciscana, the analysis was performed using 1 male and 1 female DNA libraries and pools of 2 RNA-seq replicates of heads and gonads for each sex, along with 1 whole body male and female RNA-seq libraries (SRR14598203 and SRR14598204).
First, the shared 31-mers between the female DNA and RNA libraries were identified, and then any k-mers matching male libraries were removed. Female RNA-seq reads containing these female-specific k-mers [with minimum k-mer fraction of 0.6 (mkf = 0.6)] were retrieved and assembled using Trinity (Grabherr et al. 2011), and the perl script from the Trinity package (get_longest_isoform_seq_per_trinity_gene.pl) was used to keep only the longest isoform. The male and female genomic libraries were mapped to the assembled transcripts using Bowtie2 (Langmead and Salzberg 2012, p. 2), and candidates with a sum of female perfect matches ≤8 and a ratio of sum-of-females/sum-of-males ≤2 were removed. The final set consisted of 402 transcripts in A. franciscana and 319 in A. sinica.
Mapping of W candidates to the A. sinica genome
The A. sinica and A. franciscana candidate W-derived transcripts were mapped to the A. sinica genome assembly with Parallel Blat (Wang and Kong 2019) with a translated query and database, and a minimum match score of 50. Only alignments with match scores above 100 were considered, and the mapping location with the strongest match score was considered for each transcript.
Transcriptome assemblies and expression analysis
The A. sinica male transcriptome was assembled from 2 replicates of male whole body RNA-seq data (Huylmans et al. 2021) using Trinity (Grabherr et al. 2011) in 2 different modes: denovo and genome-guided. The 2 assemblies were concatenated and then filtered using the tr2aacds.pl script from EvidentialGene (Gilbert 2019). The transcriptome was annotated with the Pannzer annotation server (Törönen et al. 2018), and mapped to the A. sinica genome using the same procedure as described in the section Mapping of W candidates to the A. sinica genome.
For the expression analysis, only the first isoform was kept for each gene, and only transcripts longer than 500 bp were used in the analysis. The RNA-seq reads from the A. sinica heads, gonads, and thoraces of males and females (Huylmans et al. 2021) were mapped to the curated transcriptome and gene expression levels (in Transcripts per million, TPM) were obtained using Kallisto (version 0.46.2, Bray et al. 2016). Quantile normalization was done using NormalyzerDE (Willforss et al. 2019).
Two different A. franciscana de novo transcriptome assemblies were made using Trinity. The first using pooled RNA-seq reads from male heads and testes [2 replicates each (Huylmans et al. 2019)], and the second using the published whole-body male RNA-seq library (SRR14598203, Jo, Lee, Choi, Kim, Lee, and Park 2021). The 2 assemblies were concatenated and then filtered using the tr2aacds.pl script from EvidentialGene, and mapped to the A. sinica genome using the same procedure as described in section Mapping of W candidates to the A. sinica genome.
Phylogenetic trees
The W candidates of A. sinica and A. franciscana were mapped reciprocally to each other using pblat (v. 36x2 with default parameters, Wang and Kong 2019), and reciprocal best hits were considered shared candidates. The W candidates of the 2 species were further mapped to their respective uncollapsed male transcriptome assemblies (see previous section) with pblat (Wang and Kong 2019) with a translated query and database, and a minimum match score of 50. The transcripts with the highest mapping score to the W candidates were used as the putative Z homologs in their respective species.
The Branchinecta lindahli transcriptome (Schwentner et al. 2018) was downloaded from the Crustacean Phylogeny dataset on Harvard Dataverse (https://doi.org/10.7910/DVN/SM7DIU). B. lindahli homologs of shared W-candidates were obtained by mapping the putative Z homologs of both species to the B. lindahli transcriptome using pblat (-minScore = 50 -t = dnax -q = dnax) and retrieving the transcript with highest alignments score (using the customized script 2-besthitblat.pl). A transcript was considered a homolog if it mapped to at least one of the putative Z homologs of the 2 species, and when the 2 Z homologs mapped to different outgroup sequences, both outgroup sequences were retrieved and used to make 2 different alignments.
The shared W candidates of A. sinica and A. franciscana, their Z homologs, and the outgroup sequences were aligned using MAFFT (version v7.487, with the options “mafft –adjustdirection INPUT > OUTPUT,” Katoh et al. 2002). The resulting alignments were fed to phylogeny.fr (Dereeper et al. 2008), where the alignment was curated using Gblocks (Talavera and Castresana 2007), and the phylogenetic tree was constructed using PhyML (Guindon et al. 2010). Trees were made only for sequences where the number of overlapping positions after Gblocks was longer than 200 bp. In the 4 instances where the curated alignment length with the outgroup was shorter than 200 bp, we tried aligning the sequences without the outgroup. For the 2 cases where the resulting alignment length was longer than or equal 200 bp, unrooted trees were made. The trees were then downloaded in the Newick format and visualized using itol.embl.de (Letunic and Bork 2019).
Heterozygosity analysis in asexual female and rare male
Illumina genomic sequencing was performed on a rare male and its asexual sister (both derived from an Aibi Lake A. parthenogenetica lineage), yielding around 115 million paired-end reads with a length of 125 nucleotides for each sample. The reads were quality- and adapter- trimmed with Trimmomatic-0.36 (Bolger et al. 2014) and mapped to the draft A. sp. Kazakhstan genome assembly using STAR v.2.6.0c (Dobin et al. 2013) with default settings.
We indexed the reference A. sp. Kazakhstan genome using SAMtools v.1.10 (Li et al. 2009), called the SNPs from BAM alignments with BCFtools v.1.10.2 (Li et al. 2009), then removed indels, filtered for quality of reads over 30 and coverage over 5 and below 100 with VCFtools v.0.1.15 (Danecek et al. 2011), and removed multiallelic sites with BCFtools.
We calculated the fraction of SNPs that lost heterozygosity in the rare male DNA in comparison with the asexual sister DNA. It was calculated and visualized in 500-kb bins for each chromosome.
Crossing design to identify the asexuality locus
We designed a backcross to investigate the loci controlling asexuality. An asexual female from Aibi Lake produced a rare male. We crossed this male with an inbred female from the closest related sexual species, A. sp. Kazakhstan. This produced asexual females and males in the F1 generation. We then backcrossed 12 males from the F1 to sexual females from the same inbred line of A. sp. Kazakhstan. Of these, 6 crosses produced offspring, yielding a total of 84 males, 5 asexual females, and 96 putatively sexual females (those that did not reproduce asexually for 133 days after the crosses were set up). The 5 asexual females and 10 control females were used individually for DNA extractions with the Qiagen DNeasy Blood & Tissue kit. The control females came from the same crosses (i.e. had the same F2 father and A. sp. Kazakhstan mothers) as the asexual females, but were otherwise selected randomly. Illumina short-read sequencing was then performed as described in the section DNA short- and long-read sequencing.
Analysis of backcross between the Aibi Lake rare male and A. sp. Kazakhstan females
We sequenced 5 asexual females and 10 putatively sexual females from the F2 generation. This resulted in an average of 101 million reads per asexual female and 50 million reads per putatively sexual female. We first used SEQTK v1.2 (https://github.com/lh3/seqtk) to randomly select a subset of reads from each asexual sample to match the number of reads of the smallest sample (to avoid biasing allele estimates toward high-coverage individuals). We removed adaptors and trimmed reads using Trimmomatic v0.39 (Bolger et al. 2014). We then aligned the resulting paired-end reads to the genome using Bowtie2 v2.4.4 (Langmead and Salzberg 2012). SAM files were converted to BAM files and sorted in Samtools v.1.13 (Li et al. 2009).
For our pooled analyses, we merged BAM files into a pooled asexual BAM file and a pooled putatively sexual BAM, and created a mpileup file in Samtools v.1.13. We then used Popoolation2 (Kofler et al. 2011) to call FST for both individual SNPs and in 1-kb windows. We used FST computed for 1-kb windows to visualize FST across the genome in a Manhattan plot in the R package qqman (Turner 2018). We computed rolling medians in sliding windows of 101 consecutive SNPs on each linkage group using the rollmedian function from the package zoo (Zeileis and Grothendieck 2005) in R v.4.0.3. To identify regions of elevated FST on individual chromosomes, we computed 95% confidence intervals by sampling rolling medians of 101 consecutive SNPs across the genome 1,000 times.
For our individual-based analyses, we similarly used SEQTK v1.2 to randomly select a subset of reads from each asexual sample to match the highest coverage found in an F2 control female (to avoid biases caused by the much larger number of reads obtained for the F2 asexuals than for the controls). We then mapped reads from all F2 individuals to the A. sp. Kazakhstan genome using BWA mem v0.7.17 (Li and Durbin 2009) with default parameters. DNA reads from the rare male and its A. parthenogenetica sister, and from 2 A. sp. Kazakhstan individuals, were also subsetted and mapped. The resulting BAM alignments were sorted with samtools v1.14 (Li et al. 2009), and used to call SNPs with the mpileup function of BCFtools v1.14 (Li 2011). The VCF file was filtered with VCFtools v0.1.17 (Danecek et al. 2011) for minimum and maximum depth (4 and 50), minimum quality score (30), and minimum minor allele frequency (0.1). Only SNPs for which the 2 A. sp. Kazakhstan had a genotype of 0/0, and the 2 A. parthenogenetica individuals 1/1, were kept for further analyses. We computed FST between the F2 asexual and control females using the function –weir-fst-pop in VCFtools for 10-kb windows. We then inferred ancestry of each genomic scaffold in every sample (i.e. whether they were homozygous for the A. sp. Kazakhstan haplotype, or carried a copy of the A. parthenogenetica haplotype as well) using the customized script Chromopaint.pl (available on our git page). The A. sp. Kazakhstan genomic scaffolds were assigned to a location on the A. sinica genome as before. Scaffolds with more than 10 informative SNPs, and >80% 0/1 or 1/1 SNPs were considered to be heterozygous for the A. sp. Kazakhstan and A. parthenogenetica haplotypes, whereas scaffolds with >80% 0/0 were considered to have only A. sp. Kazakhstan ancestry (only 5–9% of scaffolds fell in between and could not be classified in each individual).
Results
The ZW pair is shared by American and Eurasian Artemia
Two genome assemblies and a high-density linkage map are currently available for the American A. franciscana (Jo, Lee, Choi, Kim, Lee, Lee, et al. 2021; Han et al. 2021; De Vos et al. 2021), but resources for the Eurasian clade are more limited, with only an A. sp. Kazakhstan draft genome assembly recently described in Boyer et al. (2022). The median dS (the number of synonymous substitutions per synonymous site) between the 2 clades is ∼0.2. We assembled a male genome of A. sinica using PacBio long reads (∼30×) and Hi-C Illumina reads (1.5*e12 reads), yielding 1,213 scaffolds with an N50 of 67.19 Mb (Supplementary Fig. 2 and Table 3) and a total length of 1.7 Gb; 85% of the sequences get assigned to one of the 21 largest scaffolds (which corresponds to the expected number of chromosomes, Sainz-Escudero et al. 2021). The strong diagonal in the heatmap of the Hi-C contact matrix (Supplementary Fig. 3) supports the high quality of our assembly, as does our BUSCO score of 91.8%. This chromosome-level assembly represents an improvement over existing Artemia genomes, which have N50 values of 27–112 kb, and BUSCO scores of 68.3–86.9% (Jo, Lee, Choi, Kim, Lee, Lee, et al. 2021; De Vos et al. 2021; Boyer et al. 2022; Supplementary Fig. 4).
Our earlier analysis of female and male genomic coverage in A. franciscana had uncovered a small region of reduced female coverage, consistent with full differentiation of the Z and W chromosomes (Huylmans et al. 2019). To investigate whether ZW differentiation was also present in A. sinica, we first estimated male and female coverage along each chromosome. Consistent with A. franciscana, only a small genomic region on chromosome 1 had decreased female/male coverage (Fig. 1a; Supplementary Fig. 5 for all chromosomes), showing that chromosome 1 is the Z chromosome. To check for homology with the A. franciscana differentiated region, we mapped the scaffolds from the published A. franciscana genome (Jo, Lee, Choi, Kim, Lee, Lee, et al. 2021) to the new A. sinica assembly based on their shared gene content, and plotted the coverage values that we had previously estimated (Huylmans et al. 2019) based on the A. sinica coordinates. Figure 1a shows that the 2 differentiated regions largely overlap, supporting the ancestry of the pair of sex chromosomes; we name this shared region stratum 0 (S0). In the A. franciscana linkage map (Han et al. 2021), LG6 was identified as the sex chromosome. To further verify the homology between the ZW pairs of the 2 species, we mapped the genetic markers used by Han et al. (2021) to our A. sinica assembly. As expected, the vast majority of LG6 markers for which we could infer a location mapped to our chromosome 1 (Supplementary Fig. 6). We also produced an assembly based on A. sinica female long PacBio reads, which contains a substantial amount of scaffolds with excessive female coverage, consistent with W-linkage (Supplementary Fig. 7).
Convergent loss of ZW recombination
To identify parts of the sex chromosomes that no longer recombine, but are still similar enough that W-derived reads still map to the Z, we used previously published RNA-seq data for A. sinica (Huylmans et al. 2021), obtained from 10 males and 10 females, to estimate FST, a measure of genetic differentiation, between the 2 sexes. Genetic variants found exclusively on the W increase the level of female–male differentiation, and young nonrecombining regions can be detected through their high male:female FST (Palmer et al. 2019; Vicoso 2019; Gammerdinger et al. 2020). Such an increase in male:female FST is not expected for the highly differentiated S0, since W-derived reads do not map to this part of the Z-chromosome. Figure 1b shows that a large region (∼52 Mb) has FST values systematically above the 95th-percentile of autosomes, consistent with recent loss of recombination in A. sinica. We call this region stratum 1 (S1), but further divide it into S1a, which shows localized drops in female:male coverage (gray-shaded regions in Fig. 1a), and S1b, for which no coverage differences are observed (Fig. 1a), and which may still undergo some recombination. The distal end of S1a has reduced female:male coverage in A. franciscana, and an FST analysis in this species yielded increased male:female FST from ∼60 to 85 MB (see Supplementary Fig. 8), showing that at least part of this region has also stopped recombining in the American lineage.
Given the substantial distance between the Eurasian and American lineages, we hypothesized that the loss of recombination in S1 had occurred independently in the 2 clades. To test this, we used a k-mer-based pipeline combining male and female DNA and RNA short reads (Elkrewi et al. 2021) to identify putative W-derived transcripts. This yielded 402 transcripts in A. franciscana and 319 in A. sinica. Of those that mapped to the genome, 180 out of 306 (59%) A. sinica transcripts and 168 out of 355 (47%) A. franciscana transcripts mapped to chromosome 1 (Z) of A. sinica, a higher proportion than the overall 7% of genes that map to this chromosome, confirming the validity of the approach (since we expect many W-linked genes to have a close homolog on the Z). Few of these candidate W genes mapped to the putative ancestral sex-linked region (16W-linked genes in A. sinica, compared to 84 Z-linked genes, and 7 vs 91 in A. franciscana, Supplementary Table 4), consistent with substantial degeneration of this part of the W-chromosome. To find genes present on the W-chromosomes of both species, we selected reciprocal best hits between the 2 sets of W candidates. Most of the candidates that were found in both species (10 out of 15) mapped to the putative S1a region. We made phylogenetic trees using each pair of homologous W-genes and their Z-linked homologs (obtained from a male-only transcriptome assembly), to infer whether these genes were W-linked before the split of the 2 clades. The closest homolog in the transcriptome of the distantly related fairy shrimp B. lindahli (Schwentner et al. 2018) was used as an outgroup sequence, when one could be detected. Figure 1c shows the resulting phylogenetic trees for 2 of the shared W-linked genes and their Z-homologs, while phylogenies for all candidates are provided in Supplementary Fig. 9. In every case, ZW homologs clustered by species rather than by chromosome, confirming that loss of recombination occurred independently and convergently for this region in the American and Eurasian lineages.
Dosage compensation of the Z-specific region
Many female-heterogametic species lack a chromosome-wide mechanism of dosage compensation, and investigating the few cases that have it may shed light on the difference between ZW and XY systems. Earlier work suggested that the Z-specific region of A. franciscana was compensated (Huylmans et al. 2019), but misidentification of genes in the sex-linked region (as the genome was fragmented) could have hidden differences between chromosomes. We repeated this analysis using RNA-seq data from thorax, head, and gonad of A. sinica (Huylmans et al. 2021). We first assembled a male transcriptome from all pooled male reads available for this species (to avoid hybrid assemblies of Z and W homologs, see Supplementary Fig. 10 for a BUSCO assessment), mapped it to the male genome assembly, and estimated expression for each sample (in TPM). In somatic tissues, the female:male ratio is similar for the autosomal genes and S0 genes (P = 0.2 and P = 0.6 in heads and thoraces, Bonferroni-corrected Wilcoxon tests, Fig. 2b and c), confirming that dosage compensation is active in this clade. A significant shift toward male-biased expression can be observed for the S0 in gonads (P = 0.0007, Bonferroni-corrected Wilcoxon test, Fig. 2d). A table with nominal P-values for each comparison is provided in Supplementary Table 5.
The sex chromosomes of asexual females and the genetic origin of rare males
In order to characterize the ZW pair of asexual females, we first obtained a draft genome assembly of the closely related sexual species A. sp. Kazakhstan from illumina short reads (Supplementary Table 6), and estimated genomic coverage using 2 female and 2 male samples of this species. The genomic scaffolds were mapped to the A. sinica genome based on their gene content, and median coverages of male and female A. sp. Kazakhstan individuals were plotted along the A. sinica Z chromosome using a sliding window of 10 scaffolds (green and yellow lines in Fig. 3a). As expected, an approximately 2-fold drop in female coverage was observed in a similar region to that found in A. sinica (marked by gray shading), whereas the male harbored high genomic coverage throughout the chromosome, consistent with the presence of the same pair of sex chromosomes in this lineage (a similar pattern was observed in A. urmiana, Supplementary Fig. 11). We used the A. sp. Kazakhstan draft genome to map genomic reads derived from 3 closely related asexual females (1 from the Lake Urmiana-derived population and 2 from a population derived from Aibi Lake cysts). In every case, the patterns of coverage were very similar to those of the A. sp. Kazakhstan sexual female, confirming that asexual females carry the same pair of ZW chromosomes.
Diploid A. parthenogenetica likely reproduce through central fusion automixis, a modified form of meiosis that preserves heterozygosity in the genome except at distal ends of chromosomes when recombination has occurred (Nougué et al. 2015). Boyer et al. (2022) recently showed that Artemia rare males can be produced by ZW recombination events at variable locations near the sex-determining locus. We obtained a rare male from an A. parthenogenetica line from Aibi Lake (which we use in the next section to explore the transmission of asexuality). To test whether it arose through ZW recombination or other chromosomal changes, we first compared patterns of genomic coverage to those of females. No reduced coverage was observed along the Z-chromosome, arguing against the loss of a sex chromosome. We further called SNPs in the rare male and in its sister (marked as A. par. Aibi lake 2 in Fig. 3a) and estimated the proportion of heterozygous SNPs present in the asexual female that were lost in the rare male. Loss of heterozygosity was detected throughout the distal half of the Z-chromosome (Fig. 3b; Supplementary Fig. 12), confirming that a large part of the W was replaced by its Z homologous region. A substantial loss of heterozygosity was also found at the beginning of chr 13, and smaller regions of decreased heterozygosity may be present at the ends of several chromosomes (Supplementary Fig. 12). Taken together, these results support central fusion automixis as the mode of reproduction of A. parthenogenetica, and rare ZW recombination as the source of the Aibi Lake rare male (Nougué et al. 2015; Boyer et al. 2022).
The Z chromosome likely contributes to the transmission of asexuality
In order to find possible loci responsible for the spread of asexuality in brine shrimp, we crossed the rare male described in the previous section and a sexual female from A. sp. Kazakhstan (Supplementary Fig. 13). This produced 22 asexual females and 24 males in the F1; 1 additional female died without producing offspring asexually. The presence of asexual females in the F1 shows that the locus controlling asexuality in this lineage works in a dominant manner, unlike what was first observed in Maccari et al. (2014), but consistent with the recent experiments of Boyer et al. (2021). The fact that almost all females produced offspring without mating further suggests that the locus was likely present on both copies of the genome of the original rare male. We then backcrossed 12 males from the F1, which should only carry 1 copy of the locus/loci controlling asexuality, with females from an A. sp. Kazakhstan inbred line (of these only 6 yielded progeny). The resulting F2 generation consisted of 84 (∼45%) males, 5 (∼3%) asexual females, and 96 (∼52%) females that did not produce asexually 133 days after the crosses were set up (44 individuals died before sexing was possible and are not included in the counts; see counts for individual crosses in Supplementary Table 7). We presume that most of these are sexual females for our analyses, but some could have reproduced asexually had the experiment been continued longer.
We produced whole-genome resequencing data for the 5 F2 asexual females and, as a control, 10 F2 putatively sexual females. These were first pooled into an asexual pool and a putatively sexual pool, and we used Popoolation2 to compute FST between these 2 pools of females. While a few small peaks of FST are found on the autosomes (Fig. 4a), the strongest signal comes from the distal end of the Z chromosome (Fig. 4b). We further predicted that loci underlying asexuality should have been inherited from the original rare male by all the F2 asexual females, but not by (all) control females. To test this, we mapped all DNA samples individually to the A. sp. Kazakhstan genome. We also mapped the original rare male and its A. parthenogenetica sister, and 2 A. sp. Kazakhstan individuals, in order to select SNPs that were alternatively fixed between the 2 lineages. We used these informative SNPs to re-estimate FST between F2 asexual and control females, and to infer which genomic regions were inherited from the rare male by each of the F2 individuals. Supplementary Figure 14 shows that we recover a region of high FST on the Z chromosome, and that all asexuals carry genetic material from the rare male in this region, as expected if it controls asexuality. In total, only 17 scaffolds with an assigned location on the A. sinica genome show ancestry patterns consistent with an asexuality locus (i.e. they show evidence of A. parthenogenetica ancestry in all asexual females, but not in all control females). Eleven are on the Z chromosome (vs 1 expected, P = 1.3e−20 with a chi-square test) and correspond to the region of high FST, providing further support for a role of the Z chromosome in the transmission of asexuality. None of the other minor peaks of FST are in regions with ancestry patterns consistent with asexuality loci (Supplementary Fig. 14), although chromosome 16 contains 3 such loci (vs 0.9 expected, P < 0.01 with a chi-square test). The annotation of genes located in the Z-linked candidate locus did not yield any obvious candidates (the annotation for all transcripts is provided as a Supplementary Dataset).
Discussion
The potential of Artemia brine shrimp as models for ZW chromosome evolution and comparative genomics in general was until recently hampered by a lack of genomic resources. The publication of 2 genomes for the American A. franciscana has already shed new light on how these charismatic organisms survive in their extreme environments (Jo, Lee, Choi, Kim, Lee, Lee, et al. 2021; De Vos et al. 2021), but no information on sex linkage was provided, and the lack of a close outgroup sequence (other than the distant Daphnia) made comparative analyses difficult. A draft genome was recently described for A. sp. Kazakhstan (Boyer et al. 2022), but there was limited power to assign scaffolds to the sex chromosomes or autosomes.
Here, we obtain the first chromosome-level assembly in the clade for the Eurasian brine shrimp A. sinica and characterize in detail the differentiated and undifferentiated regions of the ZW pair. By combining these results with those of a preliminary analysis in A. franciscana (Huylmans et al. 2019), we confirmed the putative evolutionary model for the ZW pair, with an ancient well-differentiated region that stopped recombining in the ancestor of the 2 lineages, and more recent “strata” arising in each lineage independently. The independent loss of recombination in American and Eurasian species provides a unique opportunity to investigate convergent changes that occur in early sex-chromosome evolution. In agreement with previous findings in A. franciscana, A. sinica males and females have similar somatic expression patterns of Z-linked genes in the differentiated region which strongly supports the presence of a mechanism of dosage compensation in this group. A significant male-bias in expression was found for S0 genes in the gonads. Such differences in the gonad have been found even in animals with well-characterized chromosome-wide mechanisms of dosage compensation, such as Drosophila (Meiklejohn et al. 2011) and silkworm (Huylmans et al. 2017). While compensation mechanisms may be absent or less active in the gonad (Meiklejohn et al. 2011), differences could also result from the unusual regulation of the sex chromosomes in the germline (Argyridou and Parsch 2018), where they are often inactivated or downregulated (Vibranovski et al. 2009). Currently, no tractable lab model exists for the early evolution of ZW chromosomes, and Z-chromosome dosage compensation is only understood in detail for the silkworm (Walters and Hardcastle 2011; Kiuchi et al. 2014; Katsuma et al. 2019; Rosin et al. 2022), making this an outstanding new model clade for investigating these topics.
Finally, we obtained several putative W-genes in both species using a k-mer-based analysis. Few of them mapped to the ancestral part of the W chromosome: only ∼20% of the Z-linked genes in this region have a W-homolog, suggesting that much of the ancestral gene content has been lost. All of the genes for which a W-homolog could be found in both A. sinica and A. franciscana mapped to younger strata of the ZW pair and appear to have become W-linked independently in the 2 lineages. If the ancestral sex-determination mechanism is still shared by the 2 species, this may suggest that the primary signal for sex determination is a dosage-dependent gene on the Z rather than a dominant female-determining gene on the W. However, it is also possible that the sex-determining gene is only expressed early in development and was missed by our analysis of adult tissues. Future studies of sex-specific expression throughout the life cycle and complete assemblies of the W chromosome of the 2 species will be necessary to shed light on sex determination in this group.
The proximity of A. sinica to the A. sp. Kazakhstan group, which contains both sexual and asexual populations, also allowed us to characterize sex-linked sequences in this group. First, we found that the sex chromosome pair is shared by all populations. We further confirmed that rare males in this group can be produced through the replacement of the W-specific region with its Z-counterpart, showing that the same mechanism is used for rare male production in A. parthenogenetica isolates from widely differing geographic origins (China in this study, Iran and France in Boyer et al. 2022). Finally, our backcrossing experiment points to a role of the sex chromosome pair in the spread of asexuality through rare males.
It should be noted that this experiment has several drawbacks. First, it is difficult to phenotype females as sexual or asexual, as the timing at which asexuals produce their first brood can vary (although they typically do so within 30 days of hatching, Amat et al. 2007). Furthermore, hybrid incompatibilities may stop females from producing viable offspring even if they carry the alleles encoding asexuality. The fact that less than 5% of females were asexual in the F2 suggests that the trait is polygenic, and/or that we are mistakenly classifying asexuals as putative sexuals. Finally, we only obtained a small number of backcrossed asexual females, which limits the power to infer causal loci.
Despite these drawbacks, the Z chromosome showing the strongest signal of differentiation between asexual and control females is intriguing, and in line with results in the pea aphid, which carries the asexuality locus on the X chromosome. In species where asexuality is triggered by an endoparasite such as Wolbachia, the acquisition of asexuality is thought to be driven by the transmission advantage gained by the female-transmitted parasite (since asexual reproduction leads to an all-female progeny). It is possible that an asexuality gene found on a Z chromosome similarly benefits from a transmission advantage. If rare males always arise through the replacement of the W-specific region with its Z homolog region, a Z-linked asexuality locus will be homozygous and therefore transmitted to all daughters in the F1 (and to all sons). More detailed studies of transmission of asexuality in this group and others with ZW and XY sex chromosomes will in the future shed light on the relationship between sex determination and the rise and spread of asexual reproduction under various sex-determining mechanisms.
Supplementary Material
Acknowledgments
We thank the Vicoso group for comments on the manuscript and the ISTA Scientific computing team and the Vienna Biocenter Sequencing facility for technical support.
Funding
This work was supported by the European Research Council under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 715257) and by the Austrian Science Foundation (FWF SFB F88-10).
Conflicts of interest
None declared.
Contributor Information
Marwan Elkrewi, Institute of Science and Technology Austria, Klosterneuburg 3400, Austria.
Uladzislava Khauratovich, Institute of Science and Technology Austria, Klosterneuburg 3400, Austria; Department of Chromosome Biology, Max Perutz Labs, University of Vienna, Vienna 1030, Austria.
Melissa A Toups, Institute of Science and Technology Austria, Klosterneuburg 3400, Austria; Faculty of Science and Technology, Department of Life and Environmental Sciences, Bournemouth University, Poole BH12 5BB, UK.
Vincent Kiplangat Bett, Institute of Science and Technology Austria, Klosterneuburg 3400, Austria.
Andrea Mrnjavac, Institute of Science and Technology Austria, Klosterneuburg 3400, Austria.
Ariana Macon, Institute of Science and Technology Austria, Klosterneuburg 3400, Austria.
Christelle Fraisse, Institute of Science and Technology Austria, Klosterneuburg 3400, Austria; CNRS, Univ. Lille, UMR 8198—Evo-Eco-Paleo, 59000 Lille, France.
Luca Sax, Institute of Science and Technology Austria, Klosterneuburg 3400, Austria; Lewis and Clark College, Portland, OR 97219, USA.
Ann Kathrin Huylmans, Institute of Science and Technology Austria, Klosterneuburg 3400, Austria; Institute of Organismic and Molecular Evolution, Johannes Gutenberg Universität Mainz, Mainz 55122, Germany.
Francisco Hontoria, Instituto de Acuicultura de Torre de la Sal (IATS-CSIC), 12595 Ribera de Cabanes (Castellón), Spain.
Beatriz Vicoso, Institute of Science and Technology Austria, Klosterneuburg 3400, Austria.
Data Availability
All genomic reads generated for this study are available at the NCBI short reads archive under Bioproject number PRJNA848277. The pipelines used to analyze the data are at https://git.ist.ac.at/bvicoso/zsexasex2021, and important processed data files such as the new A. sinica genome assembly are provided at https://doi.org/10.15479/AT:ISTA:11653.
Supplemental material is available at GENETICS online.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All genomic reads generated for this study are available at the NCBI short reads archive under Bioproject number PRJNA848277. The pipelines used to analyze the data are at https://git.ist.ac.at/bvicoso/zsexasex2021, and important processed data files such as the new A. sinica genome assembly are provided at https://doi.org/10.15479/AT:ISTA:11653.
Supplemental material is available at GENETICS online.