Skip to main content
G3: Genes | Genomes | Genetics logoLink to G3: Genes | Genomes | Genetics
. 2019 Aug 22;9(10):3467–3476. doi: 10.1534/g3.119.400556

Genomic Data Reveal Conserved Female Heterogamety in Giant Salamanders with Gigantic Nuclear Genomes

Paul M Hime *,2, Jeffrey T Briggler , Joshua S Reece , David W Weisrock *
PMCID: PMC6778777  PMID: 31439718

Abstract

Systems of genetic sex determination and the homology of sex chromosomes in different taxa vary greatly across vertebrates. Much progress remains to be made in understanding systems of genetic sex determination in non-model organisms, especially those with homomorphic sex chromosomes and/or large genomes. We used reduced representation genome sequencing to investigate genetic sex determination systems in the salamander family Cryptobranchidae (genera Cryptobranchus and Andrias), which typifies both of these inherent difficulties. We tested hypotheses of male- or female-heterogamety by sequencing hundreds of thousands of anonymous genomic regions in a panel of known-sex cryptobranchids and characterized patterns of presence/absence, inferred zygosity, and depth of coverage to identify sex-linked regions of these 56 gigabase genomes. Our results strongly support the hypothesis that all cryptobranchid species possess homologous systems of female heterogamety, despite maintenance of homomorphic sex chromosomes over nearly 60 million years. Additionally, we report a robust, non-invasive genetic assay for sex diagnosis in Cryptobranchus and Andrias which may have great utility for conservation efforts with these endangered salamanders. Co-amplification of these W-linked markers in both cryptobranchid genera provides evidence for long-term sex chromosome stasis in one of the most divergent salamander lineages. These findings inform hypotheses about the ancestral mode of sex determination in salamanders, but suggest that comparative data from other salamander families are needed. Our results further demonstrate that massive genomes are not necessarily a barrier to effective genome-wide sequencing and that the resulting data can be highly informative about sex determination systems in taxa with homomorphic sex chromosomes.

Keywords: Amphibian, W chromosome, ddRADseq, Cryptobranchus, Andrias, Genetics of Sex


How are organisms able to produce distinct sexes from a single genome? In many cases, an individual’s sex is determined genetically by one or more sex-determining loci which can result in an evolutionary cascade of profound genomic consequences, including degradation of the chromosome bearing the sex-determining locus (Steinemann and Steinemann 1998; Charlesworth et al. 2005; Graves 2006; Bachtrog 2013), accumulation of sexually antagonistic loci on sex chromosomes (Rice 1984; van Doorn and Kirkpatrick 2007; Innocenti and Morrow 2010; Charlesworth et al. 2014), genome-wide changes in dosage compensation (Mank 2009; Gu and Walters 2017; Marin et al. 2017; Rupp et al. 2017), and the buildup of reproductive isolation during population divergence and speciation (Sæther et al. 2007; Kitano et al. 2009; Lima 2014; Bracewell et al. 2017; O’Neill and O’Neill 2018). In mammals and birds, one of the two sex chromosomes is typically heavily degenerated and evident cytogenetically via classical karyotypic analyses (i.e., heteromorphic sex chromosomes) (Graves 2006; Bachtrog 2013). However, in other lineages, sex chromosomes are much harder to diagnose and appear to be much more labile over evolutionary timescales. In contrast to well-studied mammalian and avian systems, many organisms exhibit homomorphic sex chromosomes that cannot be diagnosed cytogenetically, making it difficult to determine sex chromosome homology among species.

Homomorphic sex chromosomes predominate in amphibians, with multiple transitions among XY and ZW systems of sex determination (Bull 1983; Hillis and Green 1990; Schmid et al. 1991; Hayes 1998; Wallace et al. 1999; Schmid and Steinlein 2001; Ogata et al. 2003; Eggert 2004; Nakamura 2009; Furman and Evans 2016; Miura 2017; Pennell et al. 2018; Jeffries et al. 2018). Variation in sex chromosomes has been documented between species (Stöck et al. 2011; Brelsford et al. 2013; Roco et al. 2015; Sessions et al. 2016), and even within populations of the same species (Rodrigues et al. 2014), suggesting that in some amphibians, sex chromosomes may be especially labile. Furthermore, there appears to be little bias in the direction of transitions between XY and ZW systems (Evans et al. 2012; Pennell et al. 2018), with transition rates between homomorphic and heteromorphic sex chromosomes in amphibians appearing roughly equal [but see Hillis and Green (1990)].

Sex chromosome systems appear to be labile across salamanders, with multiple hypothesized transitions among XY and ZW systems (Sessions 2008), although data are only available from seven of the ten recognized families (Figure 1). The superfamily Cryptobranchoidea comprises the Asiatic salamanders (family Hynobiidae) and the giant salamanders (family Cryptobranchidae). Hynobiids are thought to possess a ZW system of female-heterogametic sex determination (Kuro-o et al. 1998, 2002; Ikebe et al. 2005). The family Cryptobranchidae is also thought to possess a ZW system (Sessions et al. 1982). The family Sirenidae is suspected to have a ZW system of female heterogamety (León and Kezer 1974). The remaining seven salamander families comprise the superfamily Salamandroidea, of which at least three families have species with XY systems. If the putative ZW systems of Cryptobranchidae, Hynobiidae, and Sirenidae were shown to be homologous, that would imply that the ancestral mode of sex determination in salamanders is ZW and that ZW to XY transitions occurred along branches leading to XY species in Salamandroidea. The family Ambystomatidae has a ZW system sex determination (Smith and Voss 2009; Keinath et al. 2017, 2018) and relatively homomorphic sex chromosomes. The family Proteidae is comprised of two deeply divergent genera, Proteus and Necturus, both of which possess an XY system of male heterogamety (Sessions 2008; Sessions et al. 2016). While Proteus has homomorphic sex chromosomes, possibly resulting from an X-Y translocation, Necturus has heteromorphic XY sex chromosomes (Sessions et al. 2016). The two most speciose families of salamanders, Salamandridae and Plethodontidae, each contain genera with XY and ZW sex determination systems and genera with homomorphic and heteromorphic sex chromosomes (Sessions 2008), implying that there have been additional transitions between male- and female-heterogamety within these lineages.

Figure 1.

Figure 1

Family-level relationships among extant salamanders are depicted, along with the distribution of XY (male heterogametic) and ZW (female heterogametic) sex determination (S.D.) systems. Families for which S.D. mode is not known are indicated with a question mark. Divergence times are based on Kumar et al. (2017) and units are in millions of years before present (Ma). Information about sex determination systems is from León and Kezer (1974), Ikebe et al. (2005), Sessions (2008), Smith and Voss (2009), and this study.

As is typical of most salamanders (Keinath et al. 2015; Elewa et al. 2017; Evans et al. 2018; Nowoshilow et al. 2018; Smith et al. 2019), cryptobranchids have gigantic nuclear genomes over 56 Gb (Gregory 2019), nearly 18 times larger than the human genome. These huge genomes are putatively not due to polyploidization, but instead may be the result of ancient expansions of retrotransposons (Sun and Mueller 2014) and increases in intergenic content in the genome (Smith et al. 2009), potentially related to low metabolic rates among salamanders. Cryptobranchids are long-lived salamanders exhibiting delayed sexual maturity (4–7 years), and males and females are only easily distinguishable during a narrow annual time window during the breeding season when males have a swollen cloaca (Nickerson and Mays 1973). Cryptobranchus and Andrias are both thought to possess a ZW system of female heterogamety (Sessions 2008), though there are conflicting karyotypic reports in the literature. Sessions et al. (1982) used cytogenetic techniques to identify a ZW system in Cryptobranchidae, but karyotypic analyses in Andrias by Zhu et al. (2002), appear to have found a heteromorphic XY system. Furthermore, it is not known whether Cryptobranchus and Andrias share a conserved system of sex determination or homologous sex chromosomes, and genomic data are likely required to resolve these uncertainties (Hu et al. 2019).

Whole genome sequencing (WGS) methods are now widely used to identify sex-linked loci in non-model organisms (Bachtrog 2013; Keinath et al. 2018). However, the expense and other complications associated with applying WGS to organisms with extremely large genomes has prevented widespread use of these methods in salamanders. Reduced representation genomic approaches, such as restriction site-associated DNA sequencing (RADseq) (Baird et al. 2008; Baxter et al. 2011; Peterson et al. 2012), have become a powerful alternative to WGS to identify sex chromosome-associated loci and to distinguish male- from female-heterogametic systems (Palaiokostas et al. 2013; Brown et al. 2016; Fowler and Buonaccorsi 2016; Gamble 2016; Lambert et al. 2016; Brelsford et al. 2017; Nielsen et al. 2018; Stovall et al. 2018; Jeffries et al. 2018; Hu et al. 2019). RADseq-based approaches involve inherent tradeoffs among the numbers of loci sequenced, their depths of sequencing coverage, and the numbers of individuals that can be effectively multiplexed on current high-throughput sequencing platforms (Weisrock et al. 2018). Double digest RADseq (ddRADseq) protocols (Peterson et al. 2012) are particularly well-suited to identify sex chromosome-associated regions in massive genomes because they can be readily tailored to target different numbers of loci in a given species by varying either of the restriction enzymes (REs) used and/or the particular fragment size-selection window (Figure S1). By comparing patterns of presence and absence of loci between known males and known females, researchers can bioinformatically identify candidate sex-linked markers which can be further validated by the polymerase chain reaction (PCR). Explicit statistical models are also now available to identify sets of candidate sex-linked RAD loci sequenced from known-sex individuals (Gamble et al. 2015; Stovall et al. 2018).

Sex-linked markers also provide important conservation genetic resources for endangered species. Cryptobranchus was historically widespread in streams and rivers across eastern and central North America (Nickerson and Mays 1973), but wild populations are now in sharp decline (Wheeler et al. 2003; Pitt et al. 2017). Both species of Andrias are also in peril (Ota 2000; Wang et al. 2004; Chen et al. 2018; Turvey et al. 2018), and all three currently recognized cryptobranchid species are threatened or endangered throughout their ranges (Hammerson and Phillips 2004; Kaneko and Matsui 2004; Liang et al. 2004). In situ and ex situ conservation efforts are underway to stabilize wild populations and establish captive breeding populations for eventual re-release (Ettling et al. 2017; Murphy and Gratwicke 2017; Kenison and Williams 2018). But, these conservation programs are hindered by the difficulty of accurately determining sex for cryptobranchids. Ultrasound and laparoscopy have been employed to diagnose sex in Cryptobranchus and Andrias (Kramer et al. 1983; Roth and Obringer 2003; Li et al. 2010; Kraus et al. 2017), but these techniques are not universally effective, require expert interpretation, and, in the case of laparoscopy, are invasive. Serum calcium level differences may also distinguish females from males (Nickerson and Mays 1973), but there are numerous advantages to a genetic sex assay including effectiveness across all age classes and seasons and the ability to analyze banked tissue samples. Recently, Hu et al. (2019) used ddRADseq to identify W-linked loci in Andrias davidianus, indicating an ability for these methods to identify sex-linked markers, but further questions remain, including the conservation of ZW sex determination systems in this salamander family, and the robustness of the application of ddRADseq in large genomes.

We expand on previous investigations of the evolution of sex determination systems in cryptobranchid salamanders by first performing ddRADseq in 20 known-sex Cryptobranchus individuals. We used bioinformatic analyses of these data to compare regions of the genome assembled from males and females and to test expectations of the mutually exclusive hypotheses of male or female heterogamety. Our in silico analyses produced sets of candidate male- and female-specific loci which we then validated by PCR in known-sex individuals from several divergent populations of Cryptobranchus and in both species of Andrias (Figure 2). Our results are consistent with sex chromosome stasis in the salamander family Cryptobranchidae and suggest that female heterogamety has been conserved in this lineage for over 60 million years, in stark contrast to the rapid turnovers observed in many other amphibian lineages.

Figure 2.

Figure 2

Pipeline for identifying putative sex-linked loci and for testing the competing hypotheses of female-heterogametic (ZW) vs. male-heterogametic (XY) sex determination in Cryptobranchidae. If a locus is found only on the heterogametic sex chromosome, then (A) it will only be found in one sex, (B) there will only be one allele because the individual is haploid (hemizygous) at that locus, (C) that locus will have approximately half the read depth of other loci because it is haploid, (D) sex-linked loci should identify known-sex individuals in two-individual panels, (E) 10-individual panels, and (F) 23-individual panels.

Materials and Methods

We implemented a two-part strategy to discover and validate candidate sex-linked regions of the Cryptobranchus genome (Figure 2). Because of uncertainty about whether cryptobranchid salamanders have ZW or XY sex determination, we conducted analyses agnostically for both scenarios and tested three specific hypotheses about expected patterns of genetic variation in males and females under models of XY or ZW sex determination. We first used a series of bioinformatic analyses to quantify patterns of sex-specific presence and absence of loci, to parse heterozygous loci from apparently homozygous loci (some of which may be hemizygous), and to estimate relative depths of read coverage across candidate sex-linked loci (Figure 2A–C). Next, we used PCR-based assays in additional individuals to validate the sets of candidate male- and female-specific loci that were identified bioinformatically. Candidate sex-linked loci (35 female-specific candidates and eight male-specific candidates) identified in 20 reference individuals were screened by PCR in increasingly large and diverse sets of individuals (Figure 2D–F).

We obtained tail tissue or blood samples from known-sex Cryptobranchus alleganiensis individuals (n = 66) sampled from wild populations and from captive collections at the Saint Louis Zoo. We also obtained blood samples from known-sex Andrias davidianus (n = 6) and A. japonicus (n = 9) individuals from the Saint Louis Zoo, the Detroit Zoo, the California Academy of Sciences Steinhart Aquarium, and the Smithsonian National Aquarium. We used 20 known-sex Cryptobranchus individuals from two separate tributaries of the White River in Missouri and Arkansas (nine females and 11 males, as determined by necropsy and/or observation of gametes) for our initial reduced representation genome sequencing by ddRADseq. All other individuals were sexed by visual examination during the breeding season or by either laparoscopy or ultrasound. High molecular weight genomic DNA (gDNA) was extracted from all individuals using DNeasy silica column kits (QIAGEN). We quantified the resulting gDNA with a Qubit2.0 Fluorometer (Invitrogen) and confirmed its integrity by 2% agarose gel electrophoresis at 110 V for two hr.

Bioinformatic discovery of candidate sex-linked loci

The extremely large size of the Cryptobranchus genome, and the lack of existing genomic resources for this genus, necessitated the use of reduced representation sequencing methods to identify sex chromosomes. We used ddRADseq because it offered the flexibility to select different RE combinations and size-selection windows that can produce varying amounts of genomic coverage. To optimize ddRAD library preparation in this massive genome, we performed test RE digestions for two Cryptobranchus individuals from the White River in Missouri, followed by empirical fragment analysis. We estimated numbers of fragments per individual under three different size selection windows and 12 different RE combinations. For each RE combination, we performed single-enzyme digests and the combined double-enzyme digests, and we quantified these test fragment length distributions with a Bioanalyzer 2100 high-sensitivity DNA system (Agilent Technologies). We then calculated the estimated numbers of sequenceable ddRAD loci across size selection windows of 300 ± 30 base pairs (bp), 400 ± 40 bp, and 500 ± 50 bp. Based on these tests, we selected EcoRI (3′) and SphI (5′) with a fragment size selection window of 450–550 bp for downstream library preparation. These parameters were estimated to yield 350,000 unique loci per individual (significantly fewer than any other RE combination). We increased the amount of input gDNA from 50 ng (Peterson et al. 2012) to 3 μg per individual to retain sufficient quantities of post-bead-cleaned product for adapter ligation.

We generated ddRAD libraries with four sets of five individuals using 5 bp inline barcodes and 6 bp Illumina indices. We size-selected each pool of five individuals in its own lane of a Pippin Prep cartridge (Sage Science) with the “tight” protocol in the range of 518–634 bp (accounting for lengths of Illumina adapters). Size-selected products were pooled into two sets of 10 individuals, bead-cleaned, and amplified by PCR for 8 cycles with Phusion high-fidelity DNA polymerase (New England Biolabs). Bead-cleanup was performed with Dynabeads (ThermoFisher) and Agencourt AMPure XP beads (Beckman Coulter, Inc.). Final libraries were sequenced on two Illumina HiSeq2500 lanes in Rapid Run mode with paired-end 150 bp reads (utilizing C-bot clustering and a 10% PhiX DNA spike-in). Illumina sequencing was performed at the Florida State University School of Medicine Core Facility.

This library preparation protocol resulted in strand-specific sequencing because the PCR primers for fragment amplification select for fragments with SphI cut sites at the 5′ end and EcoRI cut sites at the 3′ end. Each sequenced fragment was represented by 150 bp sequences at the 5′ and 3′ ends and a central unsequenced region of unknown length (between 150–250 bp). We used custom bash scripts (Files S1) to concatenate reads from the 5′ ends of fragments (R1 of an Illumina read pair) with the reverse complement of reads from the 3′ ends of fragments (R2 of an Illumina read pair), recapitulating the original orientation in the genome. We checked for optical duplicate reads using the MarkDuplicates function in the Picard Toolkit (https://broadinstitute.github.io/picard/). We demultiplexed the raw, stitched reads by individual in stacks v1.46 (Catchen et al. 2013) with the process_radtags function, allowing one mismatch between observed and expected barcodes. We retained only reads with appropriate RE cut sites at both ends and required reads to have a mean Phred quality score greater than 20 over 45 bp sliding-window intervals (amounting to the following settings for the stacks process_radtags algorithm: –renz_1 sphI –renz_2 ecoRI -c -q -r -D -w 0.15 -s 20 –barcode_dist_1 2).

We tested several assembly parameters for the range of nucleotide variation between alleles at a given locus (ustacks -M = 4, 10), the minimum depth of sequencing coverage across loci (ustacks -m = 3, 10), and variation between alleles across the set of individuals (cstacks -n = 0, 16). We used sstacks to match individual loci back to the full locus catalog, and we reconstructed haplotypes across all loci for all 20 individuals with genotypes (-r 1 -m 3). We identified parameter settings for ustacks (-m 3 -M 4 -N 10) and for cstacks (-n 0) that optimized the recovery of putatively orthologous, single-copy regions in the Cryptobranchus genome. These assembly parameters allowed us to confidently call variable sites across loci and to determine whether individuals were homozygous or heterozygous at a particular locus. Any locus with more than two haplotypes in any of the 20 reference individuals was excluded from further analyses. We used custom bash scripts (File S1) to parse the locus catalog into sets of putatively male- and female-specific loci based on presence/absence, zygosity, and relative depth of coverage (Figure 2A–C, File S2).

PCR-based validation of candidate sex-linked loci

Because ZW and XY sex determination systems are mutually exclusive, we predicted that either all of the male-specific candidate loci or all of the female-specific candidates would co-amplify by PCR in both sexes, rejecting one of these alternative hypotheses about the mode of sex determination in cryptobranchid salamanders. All candidate loci were subjected to successive rounds of PCR validation in increasing numbers of known-sex individuals (Figure 2D–F). First, an initial PCR validation step was performed in one male and one female hellbender from the White River for which sex was definitively known from post-mortem examination of gonads. Loci with sex-specific amplification in the two-individual panel were then tested in a 10-individual panel of six Cryptobranchus individuals from the White River drainage in Missouri, two individual Cryptobranchus from the Blue River in Indiana, and two Andrias davidianus (a total of five males and five females). Loci with sex-specific amplification in the 10-individual panel were then tested in a blind trial with 23 known-sex Cryptobranchus from several rivers in Missouri (Gasconade, Big Piney, Niangua, Meramec, and Current Rivers). Sexes of individuals in the blind trial were determined by external morphology during the breeding season by J.T.B., but were unknown to P.M.H. before the trial. To further validate candidate sex-specific loci in more divergent populations of Cryptobranchus and in both species of Andrias, we tested any retained candidate loci across 18 known-sex Cryptobranchus from the Licking River watershed in Kentucky and in a set of four additional Andrias davidianus and nine A. japonicus (Table S1).

Oligonucleotide primers (Table S2) were designed for eight putative Y-linked loci and 35 putative W-linked loci in BatchPrimer3 (You et al. 2008) using default settings except for: primer length (minimum 23 bp, optimum 30 bp, maximum 33 bp), maximum difference in melting temperature between forward and reverse primers (5°), and optimal amplicon fragment length (minimum 375 bp, optimum 500 bp, maximum 550 bp). We used an optimal primer length of 30 bp to ensure primers would bind nonrandomly in the complex Cryptobranchus genome. An autosomal positive control locus was designed for a 756 bp region of the 18S ribosomal RNA (rRNA) gene in Cryptobranchus. Although nuclear-encoded rRNA may exist in multiple copies throughout the genome, this marker is a suitable positive PCR control because amplification of at least one 18S copy indicates a successful PCR reaction. PCRs were carried out in 20 μL volumes [200 μM dNTPs, 0.5 μM forward and reverse primers, 109 ng gDNA, 0.4 units Phusion DNA polymerase (New England BioLabs)] with a “hotstart” initial denaturation at 98° for 30 sec, followed by 40 cycles of 98° denaturation for 10 sec, a locus-specific annealing temperature for 20 sec (detailed in Table S2), and a 72° extension for 30 sec, followed by a final 72° extension for 10 min. PCR products were stained with 2X EZ-Vision Two dye (VWR Life Science) and visualized on 1.3% agarose gels run for 45–75 min at 110 V.

Data Availability

Table S1 details the individuals examined. Table S2 details the candidate sex-linked ddRAD loci and PCR primers. Table S3 summarizes the gel images. File S1 contains example bash scripts. File S2 details candidate locus identification by presence/absence, zygosity, and depth of coverage. Figure S1 outlines the ddRAD protocol. Figure S2 summarizes locus assembly results across individuals. Figure S3 shows the effect of individual sampling on numbers of candidate sex-linked loci. Figures S4–S8 contain gel images for validation tests. Supplemental files and Illumina data are available in this study’s Figshare accession: https://gsajournals.figshare.com/s/bd1a11f0e64a4622ff43. Demultiplexed and stitched Illumina data are also accessioned in the NCBI Short Read Archive (PRJNA553239: SRR9655295–SRR9655314). All work was conducted in accordance with applicable institutional guidelines for animal welfare under Saint Louis Zoo IACUC protocols 2009-04 and 2010-07 (to P.M.H.). Supplemental material available at FigShare: https://doi.org/10.25387/g3.8060006.

Results

Bioinformatic discovery of candidate sex-linked loci

Across all 20 Cryptobranchus individuals used for ddRADseq, we obtained 163,104,028 read pairs. After initial demultiplexing, quality filtering, and RE cut site verification and truncation, we retained 113,835,666 read pairs totaling 33,809,192,802 bp (after trimming in-line adapter sequences). On average, males and females had roughly equal numbers of retained reads per individual, but there was significant variation in the numbers of reads per individual (Table 1). The nine females had on average 5,925,697 read pairs per individual (range 1,671,803–10,897,888 reads) and the 11 males had on average 5,500,399 read pairs per individual (range 2,980,522–8,934,375 reads). The Picard Toolkit (https://broadinstitute.github.io/picard/) identified zero reads as duplicates. We used the stacks pipeline (Catchen et al. 2013) to assemble loci and make preliminary haplotype calls for each individual (ustacks), to assemble a catalog relating all loci across all individuals (cstacks), to find catalog matches and call single-nucleotide polymorphisms for each individual (sstacks), and to call haplotypes across all individuals (genotypes). There was significant variation in the number of ustacks loci assembled for each individual (147,468–387,597), with a general positive (but asymptotic) correlation between the number of input reads and the number of ustacks loci (Figure S2). Across all ustacks loci for all 20 individuals, we assembled a catalog of 1,590,599 unique cstacks loci. Not all loci were present for all individuals, and in fact, all individuals had loci that were shared with nearly every possible combination of other individuals. This complex situation reflected, in part, a lack of saturation of loci due to uneven sequencing coverage across individuals. However, some of this variation in the overlap of loci across individuals reflected cryptic patterns of sex-linkage.

Table 1. Details of ddRAD sequencing in 20 known-sex Cryptobranchus alleganiensis bishopi.

Individual Barcode Sex Filtered Reads Ustacks Loci Mean Depth
C38AF ACTGG Female 10,897,888 387,597 27.51
C39AF ACTTC Female 8,453,283 364,016 22.69
C91CF ATACG Female 9,888,747 362,344 26.73
C92DF ATGAG Female 1,671,803 147,468 10.94
C93DF ATTAC Female 2,609,406 194,087 13.03
C100EF CATAT Female 5,058,754 283,782 17.39
C104EF CGAAT Female 3,495,437 229,634 14.82
C109EF CGGTA Female 4,170,971 257,133 15.81
C110EF CGTAC Female 7,084,986 324,687 21.34
C31AM GCATG Male 8,668,485 366,678 22.46
C32AM AACCA Male 3,243,953 260,992 11.47
C33AM CGATC Male 2,980,522 251,412 10.93
C34AM TCGAT Male 5,346,185 311,318 16.22
C35AM TGCAT Male 4,507,062 290,538 14.65
C36AM CAACC Male 7,184,657 350,200 19.35
C89CM GGTTG Male 5,613,817 321,310 16.45
C94DM AAGGA Male 8,934,375 351,762 24.31
C97DM AGCTA Male 4,946,750 315,847 14.62
C101EM ACACA Male 5,932,130 322,649 17.38
C108EM CGGCT Male 3,146,455 216,458 14.13

When comparing only a few individuals of each sex, many loci were present uniquely in one sex and absent in the other sex, and this pattern held for both males and females. As greater numbers of individuals from each sex were compared, the numbers of putatively sex-specific loci dropped precipitously (Figure S3). After comparing loci for all nine female and 11 male Cryptobranchus, we retained a set of 12 loci present in all males and absent in all females (putatively Y-linked) and a set of 100 loci present in all females and absent in all males (putatively W-linked) (Figure 2A). To reduce the number of loci involved in PCR screening steps, we excluded any sex-specific candidate loci for which any individual of the putatively heterogametic sex had more than one haplotype identified, resulting in 10 male-specific candidate loci and 64 female-specific candidate loci (Figure 2B). Because W- or Y-linked loci should have roughly half the depth of coverage of autosomal loci, we applied read-depth filtering to further reduce the sets of candidate sex-linked loci to eight male-specific candidate loci and 35 female-specific candidate loci (Figure 2C).

PCR-based validation of candidate sex-linked loci

After an initial round of two-individual PCR tests in Cryptobranchus, we retained zero putatively male-specific loci (all of these loci co-amplified in both sexes) and 12 putatively female-specific loci which amplified only in females (Figure 2D, Figure S4). A subsequent screening of the 12 putatively female-specific loci using a 10-individual panel of Cryptobranchus and Andrias revealed two putatively W-linked loci (1024220 and 1102805) that consistently amplified in all females and never amplified in any males (Figure 2E, Figure 3, Figure S5). A blind trial with 23 known-sex Cryptobranchus from additional populations in Missouri demonstrated successful amplification only in the known-females for both W-linked markers, while the 18S rDNA positive control successfully amplified in all individuals (Figure 2F, Figure S6). Further testing of these two putative W-linked markers in Cryptobranchus individuals from Kentucky confirmed that these loci successfully amplify only in females for this divergent lineage of hellbenders (Figure S7). Each of the two putative W-linked markers consistently amplified in females of both species of Andrias (Figure S8), with the exception of one individual that had degraded gDNA. Table S3 summarizes all gel results.

Figure 3.

Figure 3

Sex-specific amplification of a putative W-linked marker (candidate locus 1024220) in the 10-individual panel of Cryptobranchus and Andrias. A 100 base pair ladder and a negative PCR control are shown in the leftmost and rightmost lanes, respectively. This image was exposed manually and pixels were inverted on the gel imaging system at the time of capture, but contrast and exposure have not been subsequently modified. Dark blobs in the male and control wells are loading dye bound to non-migrating DNA. The gel image has been cropped at the edges but all lanes are shown.

Discussion

Our results strongly support the hypothesis of female heterogamety in cryptobranchid salamanders. Identification of consistent female-specific amplification of two loci and the lack of male-specific amplification lead us to reject male-heterogamety in the family Cryptobranchidae. Our results corroborate recent ddRADseq-based findings of a ZW sex determination system in Andrias by Hu et al. (2019), and expand on their results by providing strong evidence for a ZW system in the common ancestor of Cryptobranchus and Andrias about 60 million years ago when these two genera likely diverged (Zhang and Wake 2009; Liang et al. 2019). This study also demonstrates the power of reduced representation genome scans for identifying sex-linked genes in organisms that lack pre-existing genetic resources. Our results further suggest that genome size may not necessarily be a limiting factor in generating informative genome-scale data to answer evolutionary questions in salamanders [see also Nunziata et al. (2017); Murphy et al. (2018); Weisrock et al. (2018); Hu et al. (2019)].

Investigating sex determination in a massive genome

Comparing multiple, known-sex individuals is an important aspect of sex-specific locus detection, and contrasts drawn from greater numbers of individuals reduce the numbers of putatively sex-linked loci which must be screened by PCR in downstream steps. In our case with cryptobranchid salamanders, the number of candidate loci identified by analyzing a single representative of each sex decreased by roughly an order of magnitude each time that we doubled the number of individuals of each sex under consideration (comparing two, four, or eight individuals of each sex) (Figure S3), similar to findings from Gamble and Zarkower (2014) (their Figure 5). In more challenging cases where sequencing coverage is particularly uneven across individuals, relaxing the requirement that loci are present for all individuals of a given sex (but still requiring absence in all individuals of the opposite sex) could potentially lead to greater detection of putatively sex-linked loci (Stovall et al. 2018). As a cautionary note, we stress that for RAD-based studies searching for sex-linked markers, the sexes of individuals must be known with absolute certainty, especially for species with large genomes which will have large numbers of loci under consideration.

We expected the massive cryptobranchid genome to pose significant challenges for generating genomic data in these species and our ability to screen and validate putative sex-specific loci. Across multiple combinations of REs and size selection windows, we found that nearly all combinations would produce far too many loci (as many as four million loci per individual) to achieve adequate multiplexing of individuals on the Illumina platform. Using SphI and EcoRI and size selection between 450 and 550 bp, we expected to produce 350,000 loci per individual, very much in line with the empirical numbers of ustacks loci which we assembled in the highest-coverage individuals. Although a significant proportion of these loci had affinities to known transposable elements, filtering out loci with greater than two haplotypes or depth of coverage greater than three standard deviations above the mean for an individual effectively removed most tranposable element-related loci from consideration. Future efforts to sequence larger genomic regions flanking these sex-linked loci will better characterize these chromosomal regions and facilitate more in-depth studies of the gene regions residing on cryptobranchid sex chromosomes.

Implications for applied conservation in Cryptobranchidae

These W-linked markers provide a robust genetic sex assay for cryptobranchid salamanders, akin to those already widely employed in avian taxa (Ellergren 1996), mammals (Taberlet et al. 1993), and squamate reptiles (Rovatsos and Kratochvíl 2017), and could be a massive boon for conservation and repatriation efforts in these imperiled salamanders. Researchers and conservation biologists may now accurately determine sex for entire clutches to inform captive breeding efforts or to test expectations of male-biased adult sex ratios in species with female heterogamety (Pipoly et al. 2015). This molecular sex diagnostic could also enable studies into whether adult cryptobranchids undergo environmentally induced sex reversal by searching for a mismatch between morphological and genotypic sex (Hayes et al. 2010; Xu et al. 2015; Tamschick et al. 2016; Hu et al. 2019).

Although the W-linked markers identified here are robust across all Cryptobranchus populations tested (spanning most of the major lineages across the geographic distribution) and in both species of Andrias, it is possible that mutations in primer binding sites, or PCR failure in general, could result in a lack of amplification of the W-linked markers. In these cases, one would be led to an incorrect inference that individuals were male. The converse situation (W-linked loci spuriously amplifying in males) is extremely unlikely. Using multiple W-linked markers for sex diagnosis and employing a positive PCR control (e.g., 18S rRNA) should lead to increased confidence in PCR-based sex diagnosis.

Conclusions

Using ddRAD genome scans in known-sex hellbenders, we demonstrate that both Cryptobranchus and Andrias possess a ZW system of female heterogamety and that homologous loci on the W sex chromosomes of these two genera have likely been maintained as sex-linked for nearly 60 million years. These findings will be important for tracing the evolution of sex chromosome turnovers within salamanders. This work also has significant implications for applied conservation efforts with cryptobranchid salamanders. Whereas it has previously been difficult to reliably distinguish male from female cryptobranchids on the basis of morphology, our study has developed a universally effective PCR-based assay for sex in this imperiled salamander family. These methods for interrogating genetic sex determination systems are also broadly applicable in other organisms with large genomes and homomorphic sex chromosomes. The W-linked loci described here may enable new and important research and conservation directions for cryptobranchid salamanders, and set the stage for broader-scale comparative evolutionary genomic research across amphibians.

Acknowledgments

We thank the Saint Louis Zoo (M. Duncan, J. Ettling, R. Junge, J. Merkle, S. O'Brien, A. Salb, C. Schuette, M. Wanner, and M. Weber), R. Williams at Purdue University, F. Dunker at the California Academy of Sciences, K. Hope at the National Zoo, the late M. Sieggreen at the Detroit Zoo, D. Barber at the Fort Worth Zoo, and K. Irwin at the Arkansas Game and Fish Commission for invaluable access to tissue samples and/or necropsy reports. We also thank the Missouri Department of Conservation and the Indiana Department of Natural Resources for permission to utilize samples. We are grateful to S. Nunziata for assistance with ddRAD library preparation. We thank the University of Kentucky Department of Information Technology and Center for Computational Sciences for processor time on the Lipscomb High Performance Computing Cluster. We also thank R. Glor and three anonymous reviewers for constructive comments on this manuscript. This work was supported by funding from the Cryptobranchid Interest Group, Fresno Chaffee Zoo, the Saint Louis Zoo WildCare Institute, the University of Kentucky G.F. Ribble Fund, and by the National Science Foundation (DEB-0949532 to D.W.W. and DGE-3048109801 to P.M.H.). Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. The authors declare no competing financial interests.

Footnotes

Supplemental material available at FigShare: https://doi.org/10.25387/g3.8060006.

Communicating editor: M. Arbeitman

1

Present address: Biodiversity Institute, University of Kansas, Lawrence, KS 66045

Literature Cited

  1. Bachtrog D., 2013.  Y-chromosome evolution: Emerging insights into processes of Y-chromosome degeneration. Nat. Rev. Genet. 14: 113–124. 10.1038/nrg3366 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Baird N. A., Etter P. D., Atwood T. S., Currey M. C., Shiver A. L. et al. , 2008.  Rapid SNP discovery and genetic mapping using sequenced RAD markers. PLoS One 3: e3376 10.1371/journal.pone.0003376 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Baxter S. W., Davey J. W., Johnston J. S., Shelton A. M., Heckel D. G. et al. , 2011.  Linkage mapping and comparative genomics using next-generation RAD sequencing of a non-model organism. PLoS One 6: e19315 10.1371/journal.pone.0019315 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bracewell R. R., Bentz B. J., Sullivan B. T., and Good J. M., 2017.  Rapid neo-sex chromosome evolution and incipient speciation in a major forest pest. Nat. Commun. 8: 1593 10.1038/s41467-017-01761-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Brelsford A., Lavanchy G., Sermier R., Rausch A., and Perrin N., 2017.  Identifying homomorphic sex chromosomes from wild-caught adults with limited genomic resources. Mol. Ecol. Resour. 17: 752–759. 10.1111/1755-0998.12624 [DOI] [PubMed] [Google Scholar]
  6. Brelsford A., Stöck M., Betto-Colliard C., Dubey S., Dufresnes C. et al. , 2013.  Homologous sex chromosomes in three deeply divergent anuran species. Evolution 67: 2434–2440. 10.1111/evo.12151 [DOI] [PubMed] [Google Scholar]
  7. Brown J. K., Taggart J. B., Bekaert M., Wehner S., Palaiokostas C. et al. , 2016.  Mapping the sex determination locus in the hāpuku (Polyprion oxygeneios) using ddRAD sequencing. BMC Genomics 17: 448 10.1186/s12864-016-2773-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Bull J. J., 1983.  Evolution of Sex Determining Mechanisms, The Benjamin/Cummings Publishing Company, Inc., Menlo Park, CA. [Google Scholar]
  9. Catchen J., Hohenlohe P. A., Bassham S., Amores A., and Cresko W. A., 2013.  Stacks: An analysis tool set for population genomics. Mol. Ecol. 22: 3124–3140. 10.1111/mec.12354 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Charlesworth B., Jordan C. Y., and Charlesworth D., 2014.  The evolutionary dynamics of sexually antagonistic mutations in pseudoautosomal regions of sex chromosomes. Evolution 68: 1339–1350. 10.1111/evo.12364 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Charlesworth D., Charlesworth B., and Marais G., 2005.  Steps in the evolution of heteromorphic sex chromosomes. Heredity 95: 118–128. 10.1038/sj.hdy.6800697 [DOI] [PubMed] [Google Scholar]
  12. Chen S., Cunningham A. A., Wei G., Yang J., Liang Z. et al. , 2018.  Determining threatened species distributions in the face of limited data: Spatial conservation prioritization for the Chinese giant salamander (Andrias davidianus). Ecol. Evol. 8: 3098–3108. 10.1002/ece3.3862 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Eggert C., 2004.  Sex determination: The amphibian models. Reprod. Nutr. Dev. 44: 539–549. 10.1051/rnd:2004062 [DOI] [PubMed] [Google Scholar]
  14. Elewa A., Wang H., Talavera-López C., Joven A., Brito G. et al. , 2017.  Reading and editing the Pleurodeles waltl genome reveals novel features of tetrapod regeneration. Nat. Commun. 8: 2286 10.1038/s41467-017-01964-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Ellergren H., 1996.  First gene on the avian W chromosome (CHD) provides a tag for universal sexing of non-ratite birds. Proc. Biol. Sci. 263: 1635–1641. 10.1098/rspb.1996.0239 [DOI] [PubMed] [Google Scholar]
  16. Ettling J., Wanner M., Pedigo A., Kenkel J., Noble K. et al. , 2017.  Augmentation programme for the endangered Ozark hellbender Cryptobranchus alleganiensis bishopi in Missouri. Int. Zoo Yearb. 51: 79–86. 10.1111/izy.12162 [DOI] [Google Scholar]
  17. Evans B. J., Pyron R. A., and Wiens J. J., 2012.  Polyploidization and sex chromosome evolution in amphibians, pp. 385–410 in Polyploidy and Genome Evolution, edited by Soltis P., and Soltis D.. Springer, Berlin, Germany: 10.1007/978-3-642-31442-1_18 [DOI] [Google Scholar]
  18. Evans T., Johnson A., and Loose M., 2018.  Virtual genome walking across the 32 Gb Ambystoma mexicanum genome: Assembling gene models and intronic sequence. Sci. Rep. 8: 618 10.1038/s41598-017-19128-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Fowler B. L., and Buonaccorsi V. P., 2016.  Genomic characterization of sex-identification markers in Sebastes carnatus and Sebastes chrysomelas rockfishes. Mol. Ecol. 25: 2165–2175. 10.1111/mec.13594 [DOI] [PubMed] [Google Scholar]
  20. Furman B. L., and Evans B. J., 2016.  Sequential turnovers of sex chromosomes in African clawed frogs (Xenopus) suggest some genomic regions are good at sex determination. G3: Genes, Genomes. Genetics 6: 3625–3633. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Gamble T., 2016.  Using RAD-seq to recognize sex-specific markers and sex chromosome systems. Mol. Ecol. 25: 2114–2116. 10.1111/mec.13648 [DOI] [PubMed] [Google Scholar]
  22. Gamble T., Coryell J., Ezaz T., Lynch J., Scantlebury D. P. et al. , 2015.  Restriction site-associated DNA sequencing (RAD-seq) reveals an extraordinary number of transitions among gecko sex-determining systems. Mol. Biol. Evol. 32: 1296–1309. 10.1093/molbev/msv023 [DOI] [PubMed] [Google Scholar]
  23. Gamble T., and Zarkower D., 2014.  Identification of sex-specific molecular markers using restriction site-associated DNA sequencing. Mol. Ecol. Resour. 14: 902–913. [DOI] [PubMed] [Google Scholar]
  24. Graves J. A. M., 2006.  Sex chromosome specialization and degeneration in mammals. Cell 124: 901–914. 10.1016/j.cell.2006.02.024 [DOI] [PubMed] [Google Scholar]
  25. Gregory T., 2019.  Animal genome size database. https://www.genomesize.com.
  26. Gu L., and Walters J. R., 2017.  Evolution of sex chromosome dosage compensation in animals: A beautiful theory, undermined by facts and bedeviled by details. Genome Biol. Evol. 9: 2461–2476. 10.1093/gbe/evx154 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Hammerson G. and Phillips C., 2004.   Cryptobranchus alleganiensis The IUCN red list of threatened species 2004: e.t59077a11879843. 10.2305/IUCN.UK.2004.RLTS.T59077A11879843.en [DOI]
  28. Hayes T. B., 1998.  Sex determination and primary sex differentiation in amphibians: Genetic and developmental mechanisms. J. Exp. Zool. 281: 373–399. [DOI] [PubMed] [Google Scholar]
  29. Hayes T. B., Khoury V., Narayan A., Nazir M., Park A. et al. , 2010.  Atrazine induces complete feminization and chemical castration in male African clawed frogs (Xenopus laevis). Proc. Natl. Acad. Sci. USA 107: 4612–4617. 10.1073/pnas.0909519107 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Hillis D. M., and Green D. M., 1990.  Evolutionary changes of heterogametic sex in the phylogenetic history of amphibians. J. Evol. Biol. 3: 49–64. 10.1046/j.1420-9101.1990.3010049.x [DOI] [Google Scholar]
  31. Hu Q., Chang C., Wang Q., Tian H., Qiao Z. et al. , 2019.  Genome-wide RAD sequencing to identify a sex-specific marker in Chinese giant salamander Andrias davidianus. BMC Genomics 20: 415 10.1186/s12864-019-5771-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Ikebe C., Kuro-o M., Ohtani H., Kawase Y., Matsui T. et al. , 2005.  Cytogenetic studies of Hynobiidae (Urodela) XIX. Morphological variation of sex chromosomes pairing behavior of sex lampbrush chromosomes in Hynobius quelpaertensis (Mori) from Cheju Island, South Korea. Chromosome Res. 13: 157–167. 10.1007/s10577-005-8036-x [DOI] [PubMed] [Google Scholar]
  33. Innocenti P., and Morrow E. H., 2010.  The sexually antagonistic genes of Drosophila melanogaster. PLoS Biol. 8: e1000335 10.1371/journal.pbio.1000335 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Jeffries D. L., Lavanchy G., Sermier R., Sredl M. J., Miura I. et al. , 2018.  A rapid rate of sex-chromosome turnover and non-random transitions in true frogs. Nat. Commun. 9: 4088 10.1038/s41467-018-06517-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Kaneko Y. and Matsui M., 2004. Andrias japonicus The IUCN red list of threatened species 2004: e.t1273a3376261. 10.2305/IUCN.UK.2004.RLTS.T1273A3376261.en [DOI]
  36. Keinath M. C., Timoshevskaya N., Timoshevskiy V. A., Voss S. R., and Smith J. J., 2018.  Miniscule differences between sex chromosomes in the giant genome of a salamander. Sci. Rep. 8: 17882 10.1038/s41598-018-36209-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Keinath M. C., Timoshevskiy V. A., Timoshevskaya N. Y., Tsonis P. A., Voss S. R. et al. , 2015.  Initial characterization of the large genome of the salamander Ambystoma mexicanum using shotgun and laser capture chromosome sequencing. Sci. Rep. 5: 16413 10.1038/srep16413 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Keinath M. C., Voss S. R., Tsonis P. A., and Smith J. J., 2017.  A linkage map for the newt Notophthalmus viridescens: Insights in vertebrate genome and chromosome evolution. Dev. Biol. 426: 211–218. 10.1016/j.ydbio.2016.05.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Kenison E. K., and Williams R. N., 2018.  Rearing captive eastern hellbenders (Cryptobranchus a. alleganiensis) with moving water improves swim performance. Appl. Anim. Behav. Sci. 202: 112–118. 10.1016/j.applanim.2018.01.013 [DOI] [Google Scholar]
  40. Kitano J., Ross J. A., Mori S., Kume M., Jones F. C. et al. , 2009.  A role for a neo-sex chromosome in stickleback speciation. Nature 461: 1079–1083. 10.1038/nature08441 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Kramer L., and Dresser B., and M. E., 1983.   Sexing aquatic salamanders by laparoscopy, pp. 45–50 in Proceedings of the American Association of Zoo Veterinarians Annual Meeting. San Diego, American Association of Zoo Veterinarians. [Google Scholar]
  42. Kraus B. T., McCallen E. B., and Williams R. N., 2017.  Evaluating the survival of translocated adult and captive-reared, juvenile eastern hellbenders (Cryptobranchus alleganiensis alleganiensis). Herpetologica 73: 271–276. 10.1655/Herpetologica-D-16-00009 [DOI] [Google Scholar]
  43. Kumar S., Stecher G., Suleski M., and Hedges S. B., 2017.  Timetree: A resource for timelines, timetrees, and divergence times. Mol. Biol. Evol. 34: 1812–1819. 10.1093/molbev/msx116 [DOI] [PubMed] [Google Scholar]
  44. Kuro-o M., Ikebe C., Izumisawa Y., Fujinuki Y., Sasaki K. et al. , 2002.  Cytogenetic studies of Hynobiidae (Urodela) XVIII. A ZZ/ZW sex-determining mechanism in a hynobiid salamander species, Hynobius tokyoensis (Tago). Cytogenet. Genome Res. 99: 194–199. 10.1159/000071593 [DOI] [PubMed] [Google Scholar]
  45. Kuro-o M., Ikebe C., Tamamoto H., Wu G., Zeng X. et al. , 1998.  Cytogenetic studies of Hynobiidae (Urodela). XIV. Analysis of the chromosome of a Chinese salamander, Batrachuperus pinchonii (David). Cell. Mol. Life Sci. 54: 152–157. 10.1007/s000180050136 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Lambert M. R., Skelly D. K., and Ezaz T., 2016.  Sex-linked markers in the North American green frog (Rana clamitans) developed using DArTseq provide early insight into sex chromosome evolution. BMC Genomics 17: 844 10.1186/s12864-016-3209-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. León P., and Kezer J., 1974.  The chromosomes of Siren intermedia nettingi (Goin) and their significance to comparative salamander karyology. Herpetologica 30: 1–11. [Google Scholar]
  48. Li P.-Q., Zhu B.-C., Wang Y.-F., and Xiang X.-J., 2010.  Sex identification of Chinese giant salamander (Andrias davidianus) by Doppler B-ultrasound method. J. Biol. 27: 94–96. [Google Scholar]
  49. Liang G., Geng B., and Zhao E., 2004.   Andrias davidianus The IUCN red list of threatened species 2004: et1272a3375181. 10.2305/IUCN.UK.2004.RLTS.T1272A3375181.en [DOI]
  50. Liang Z.-Q., Chen W.-T., Wang D.-Q., Zhang S.-H., Wang C.-R. et al. , 2019.  Phylogeographic patterns and conservation implications of the endangered Chinese giant salamander. Ecol. Evol. 9: 3879–3890. 10.1002/ece3.5014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Lima T. G., 2014.  Higher levels of sex chromosome heteromorphism are associated with markedly stronger reproductive isolation. Nat. Commun. 5: 4743 10.1038/ncomms5743 [DOI] [PubMed] [Google Scholar]
  52. Mank J. E., 2009.  The W, X, Y and Z of sex-chromosome dosage compensation. Trends Genet. 25: 226–233. 10.1016/j.tig.2009.03.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Marin R., Cortez D., Lamanna F., Pradeepa M. M., Leushkin E. et al. , 2017.  Convergent origination of a Drosophila-like dosage compensation mechanism in a reptile lineage. Genome Res. 27: 1974–1987. 10.1101/gr.223727.117 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Miura I., 2017.  Sex determination and sex chromosomes in Amphibia. Sex Dev. 11: 298–306. 10.1159/000485270 [DOI] [PubMed] [Google Scholar]
  55. Murphy J. B., and Gratwicke B., 2017.  History of captive management and conservation amphibian programs mostly in zoos and aquariums. Part II-Salamanders and Caecilians. Herpetol. Rev. 48: 474–486. [Google Scholar]
  56. Murphy M. O., Jones K. S., Price S. J., and Weisrock D. W., 2018.  A genomic assessment of population structure and gene flow in an aquatic salamander identifies the roles of spatial scale, barriers, and river architecture. Freshw. Biol. 63: 407–419. 10.1111/fwb.13071 [DOI] [Google Scholar]
  57. Nakamura M., 2009.  Sex determination in amphibians. Semin. Cell Dev. Biol. 20: 271–282 Elsevier. 10.1016/j.semcdb.2008.10.003 [DOI] [PubMed] [Google Scholar]
  58. Nickerson M. A., and Mays C. E., 1973.  The Hellbenders: North American “Giant Salamanders”, Milwaukee Public Museum Press, Milwaukee. [Google Scholar]
  59. Nielsen S. V., Banks J., Diaz R. Jr., Trainor P., and Gamble T., 2018.  Dynamic sex chromosomes in Old World chameleons (Squamata: Chamaeleonidae). J. Evol. Biol. 31: 484–490. 10.1111/jeb.13242 [DOI] [PubMed] [Google Scholar]
  60. Nowoshilow S., Schloissnig S., Fei J.-F., Dahl A., Pang A. W. et al. , 2018.  The axolotl genome and the evolution of key tissue formation regulators. Nature 554: 50–55. 10.1038/nature25458 [DOI] [PubMed] [Google Scholar]
  61. Nunziata S. O., Lance S. L., Scott D. E., Lemmon E. M., and Weisrock D. W., 2017.  Genomic data detect corresponding signatures of population size change on an ecological time scale in two salamander species. Mol. Ecol. 26: 1060–1074. 10.1111/mec.13988 [DOI] [PubMed] [Google Scholar]
  62. Ogata M., Ohtani H., Igarashi T., Hasegawa Y., Ichikawa Y. et al. , 2003.  Change of the heterogametic sex from male to female in the frog. Genetics 164: 613–620. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. O’Neill M. J., and O’Neill R. J., 2018.  Sex chromosome repeats tip the balance towards speciation. Mol. Ecol. 27: 3783–3798. 10.1111/mec.14577 [DOI] [PubMed] [Google Scholar]
  64. Ota H., 2000.  Current status of the threatened amphibians and reptiles of Japan. Popul. Ecol. 42: 5–9. 10.1007/s101440050003 [DOI] [Google Scholar]
  65. Palaiokostas C., Bekaert M., Davie A., Cowan M. E., Oral M. et al. , 2013.  Mapping the sex determination locus in the Atlantic halibut (Hippoglossus hippoglossus) using RAD sequencing. BMC Genomics 14: 566 10.1186/1471-2164-14-566 [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Pennell M. W., Mank J. E., and Peichel C. L., 2018.  Transitions in sex determination and sex chromosomes across vertebrate species. Mol. Ecol. 27: 3950–3963. 10.1111/mec.14540 [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Peterson B. K., Weber J. N., Kay E. H., Fisher H. S., and Hoekstra H. E., 2012.  Double digest RADseq: An inexpensive method for de novo SNP discovery and genotyping in model and non-model species. PLoS One 7: e37135 10.1371/journal.pone.0037135 [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Pipoly I., Bókony V., Kirkpatrick M., Donald P. F., Székely T. et al. , 2015.  The genetic sex-determination system predicts adult sex ratios in tetrapods. Nature 527: 91–94. 10.1038/nature15380 [DOI] [PubMed] [Google Scholar]
  69. Pitt A. L., Shinskie J. L., Tavano J. J., Hartzell S. M., Delahunty T. et al. , 2017.  Decline of a giant salamander assessed with historical records, environmental DNA and multi-scale habitat data. Freshw. Biol. 62: 967–976. 10.1111/fwb.12917 [DOI] [Google Scholar]
  70. Rice W. R., 1984.  Sex chromosomes and the evolution of sexual dimorphism. Evolution 38: 735–742. 10.1111/j.1558-5646.1984.tb00346.x [DOI] [PubMed] [Google Scholar]
  71. Roco Á. S., Olmstead A. W., Degitz S. J., Amano T., Zimmerman L. B. et al. , 2015.  Coexistence of Y, W, and Z sex chromosomes in Xenopus tropicalis. Proc. Natl. Acad. Sci. USA 112: E4752–E4761. 10.1073/pnas.1505291112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Rodrigues N., Merilä J., Patrelle C., and Perrin N., 2014.  Geographic variation in sex-chromosome differentiation in the common frog (Rana temporaria). Mol. Ecol. 23: 3409–3418. 10.1111/mec.12829 [DOI] [PubMed] [Google Scholar]
  73. Roth T., and Obringer A., 2003.  Reproductive research and the worldwide amphibian extinction crisis, pp. 359–374 in Reproductive Science and Integrated Conservation, edited by Holt W., Pickard A., Rodger J., and Wildt D. E.. Cambridge University Press, Cambridge. [Google Scholar]
  74. Rovatsos M., and Kratochvíl L., 2017.  Molecular sexing applicable in 4000 species of lizards and snakes? From dream to real possibility. Methods Ecol. Evol. 8: 902–906. 10.1111/2041-210X.12714 [DOI] [Google Scholar]
  75. Rupp S. M., Webster T. H., Olney K. C., Hutchins E. D., Kusumi K. et al. , 2017.  Evolution of dosage compensation in Anolis carolinensis, a reptile with XX/XY chromosomal sex determination. Genome Biol. Evol. 9: 231–240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Sæther S. A., Sætre G.-P., Borge T., Wiley C., Svedin N. et al. , 2007.  Sex chromosome-linked species recognition and evolution of reproductive isolation in flycatchers. Science 318: 95–97. 10.1126/science.1141506 [DOI] [PubMed] [Google Scholar]
  77. Schmid M., Nanda I., Steinlein C., Kausch K., Epplen J. et al. , 1991.  Sex-determining mechanisms and sex chromosomes in Amphibia, pp. 393–430 in Reproductive Science and Integrated Conservation, edited by Green D. M., and Sessions S. K., Academic Press, New York. [Google Scholar]
  78. Schmid M., and Steinlein C., 2001.  Sex chromosomes, sex-linked genes, and sex determination in the vertebrate class Amphibia, pp. 143–176 in Genes and Mechanisms in Vertebrate Sex Determination, edited by Scherer G., and Schmid M.. Birkhauser Verlag, Basel, Switzerland: 10.1007/978-3-0348-7781-7_8 [DOI] [PubMed] [Google Scholar]
  79. Sessions S. K., 2008.  Evolutionary cytogenetics in salamanders. Chromosome Res. 16: 183–201. 10.1007/s10577-007-1205-3 [DOI] [PubMed] [Google Scholar]
  80. Sessions S. K., León P. E., and Kezer J., 1982.  Cytogenetics of the Chinese giant salamander, Andrias davidianus (Blanchard): The evolutionary significance of cryptobranchoid karyotypes. Chromosoma 86: 341–357. 10.1007/BF00292262 [DOI] [Google Scholar]
  81. Sessions S. K., Mali L. B., Green D. M., Trifonov V., and Ferguson-Smith M., 2016.  Evidence for sex chromosome turnover in proteid salamanders. Cytogenet. Genome Res. 148: 305–313. 10.1159/000446882 [DOI] [PubMed] [Google Scholar]
  82. Smith J. J., Putta S., Zhu W., Pao G. M., Verma I. M. et al. , 2009.  Genic regions of a large salamander genome contain long introns and novel genes. BMC Genomics 10: 19 10.1186/1471-2164-10-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Smith J. J., Timoshevskaya N., Timoshevskiy V. A., Keinath M. C., Hardy D. et al. , 2019.  A chromosome-scale assembly of the axolotl genome. Genome Res. 29: 317–324. 10.1101/gr.241901.118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Smith J. J., and Voss S. R., 2009.  Amphibian sex determination: Segregation and linkage analysis using members of the tiger salamander species complex (Ambystoma mexicanum and A. t. tigrinum). Heredity 102: 542–548. 10.1038/hdy.2009.15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Steinemann M., and Steinemann S., 1998.  Enigma of Y chromosome degeneration: Neo-Y and neo-X chromosomes of Drosophila miranda a model for sex chromosome evolution. Genetica 102–103: 409–420. 10.1023/A:1017058119760 [DOI] [PubMed] [Google Scholar]
  86. Stöck M., Horn A., Grossen C., Lindtke D., Sermier R. et al. , 2011.  Ever-young sex chromosomes in European tree frogs. PLoS Biol. 9: e1001062 10.1371/journal.pbio.1001062 [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Stovall W. R., Taylor H. R., Black M., Grosser S., Rutherford K. et al. , 2018.  Genetic sex assignment in wild populations using genotyping-by-sequencing data: A statistical threshold approach. Mol. Ecol. Resour. 18: 179–190. 10.1111/1755-0998.12767 [DOI] [PubMed] [Google Scholar]
  88. Sun C., and Mueller R. L., 2014.  Hellbender genome sequences shed light on genomic expansion at the base of crown salamanders. Genome Biol. Evol. 6: 1818–1829. 10.1093/gbe/evu143 [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Taberlet P., Mattock H., Dubois-Paganon C., and Bouvet J., 1993.  Sexing free-ranging brown bears Ursus arctos using hairs found in the field. Mol. Ecol. 2: 399–403. 10.1111/j.1365-294X.1993.tb00033.x [DOI] [PubMed] [Google Scholar]
  90. Tamschick S., Rozenblut-Kościsty B., Ogielska M., Lehmann A., Lymberakis P. et al. , 2016.  Sex reversal assessments reveal different vulnerability to endocrine disruption between deeply diverged anuran lineages. Sci. Rep. 6: 23825 10.1038/srep23825 [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Turvey S. T., Chen S., Tapley B., Wei G., Xie F. et al. , 2018.  Imminent extinction in the wild of the world’s largest amphibian. Curr. Biol. 28: R592–R594. 10.1016/j.cub.2018.04.005 [DOI] [PubMed] [Google Scholar]
  92. van Doorn G., and Kirkpatrick M., 2007.  Turnover of sex chromosomes induced by sexual conflict. Nature 449: 909–912. 10.1038/nature06178 [DOI] [PubMed] [Google Scholar]
  93. Wallace H., Badawy G., and Wallace B., 1999.  Amphibian sex determination and sex reversal. Cell. Mol. Life Sci. 55: 901–909. 10.1007/s000180050343 [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Wang X.-M., Zhang K.-J., Wang Z.-H., Ding Y.-Z., Wu W. et al. , 2004.  The decline of the Chinese giant salamander Andrias davidianus and implications for its conservation. Oryx 38: 197–202. 10.1017/S0030605304000341 [DOI] [Google Scholar]
  95. Weisrock D. W., Hime P. M., Nunziata S. O., Jones K. S., Murphy M. O. et al. , 2018.  Surmounting the large-genome “problem” for genomic data generation in salamanders, pp. 1–28 in Population Genomics, edited by Hohenlohe P., and Rajora O.. Springer, Cham: 10.1007/13836_2018_36 [DOI] [Google Scholar]
  96. Wheeler B. A., Prosen E., Mathis A., and Wilkinson R. F., 2003.  Population declines of a long-lived salamander: A 20+-year study of hellbenders, Cryptobranchus alleganiensis. Biol. Conserv. 109: 151–156. 10.1016/S0006-3207(02)00136-2 [DOI] [Google Scholar]
  97. Xu W., Li Y.-Y., Lou Q.-Q., Chen X.-R., Qin Z.-F. et al. , 2015.  Low concentrations of dihydrotestosterone induce female-to-male sex reversal in the frog Pelophylax nigromaculatus. Environ. Toxicol. Chem. 34: 2370–2377. 10.1002/etc.3072 [DOI] [PubMed] [Google Scholar]
  98. You F. M., Huo N., Gu Y. Q., Luo M.-C., Ma Y. et al. , 2008.  BatchPrimer3: A high throughput web application for PCR and sequencing primer design. BMC Bioinformatics 9: 253 10.1186/1471-2105-9-253 [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Zhang P., and Wake D. B., 2009.  Higher-level salamander relationships and divergence dates inferred from complete mitochondrial genomes. Mol. Phylogenet. Evol. 53: 492–508. 10.1016/j.ympev.2009.07.010 [DOI] [PubMed] [Google Scholar]
  100. Zhu B., Feng Z., Qu A., Gao H., Zhang Y. et al. , 2002.  The karyotype of the caudate amphibian Andrias davidianus. Hereditas 136: 85–88. 10.1034/j.1601-5223.2002.1360112.x [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Table S1 details the individuals examined. Table S2 details the candidate sex-linked ddRAD loci and PCR primers. Table S3 summarizes the gel images. File S1 contains example bash scripts. File S2 details candidate locus identification by presence/absence, zygosity, and depth of coverage. Figure S1 outlines the ddRAD protocol. Figure S2 summarizes locus assembly results across individuals. Figure S3 shows the effect of individual sampling on numbers of candidate sex-linked loci. Figures S4–S8 contain gel images for validation tests. Supplemental files and Illumina data are available in this study’s Figshare accession: https://gsajournals.figshare.com/s/bd1a11f0e64a4622ff43. Demultiplexed and stitched Illumina data are also accessioned in the NCBI Short Read Archive (PRJNA553239: SRR9655295–SRR9655314). All work was conducted in accordance with applicable institutional guidelines for animal welfare under Saint Louis Zoo IACUC protocols 2009-04 and 2010-07 (to P.M.H.). Supplemental material available at FigShare: https://doi.org/10.25387/g3.8060006.


Articles from G3: Genes|Genomes|Genetics are provided here courtesy of Oxford University Press

RESOURCES