Abstract
We present the reference genome of the Vernal Pool Fairy Shrimp Branchinecta lynchi. This branchiopod crustacean is endemic to California’s freshwater ephemeral ponds. It faces enormous habitat loss and fragmentation as urbanization and agriculture have fundamentally changed the vernal pool landscape over the past 3 centuries. The assembled genome consists of 22 chromosome-length scaffolds that account for 96.85% of the total sequence. One hundred and ninety-five unscaffolded contigs comprise the rest of the genome’s 575.6 Mb length. The genome is substantially complete with a BUSCO score of 90.0%. There is no immediately identifiable sex chromosome, typical for this class of organism. This new resource will permit researchers to better understand the adaptive capacity of this imperiled species, as well as answer lingering questions about anostracan physiology, sex determination, and development.
Keywords: Anostraca, branchiopods, California Conservation Genomics Project, CCGP, conservation genomics, crustaceans
Introduction
The Vernal Pool Fairy Shrimp Branchinecta lynchi (Eng et al. 1990) (phylum: Crustacea, order: Branchiopoda, class: Anostraca, family: Branchinectidae) is an ephemeral wetlands specialist endemic to California and southern Oregon. It is a key member of California’s vernal pool ecosystem. Vernal pools in California are important, imperiled habitats which support native plant diversity. They also provide food and habitat for many of the millions of waterfowl that utilize these pools as winter habitat (Wilson 2010). Vernal pool habitat in California has been lost, degraded and fragmented due to anthropogenic factors. These factors, which include land conversion, urban development, and large-scale water projects, have resulted in an estimated 95% loss of vernal pool habitat since Spanish settlement (King 1998). Over the past 30 yr, federal and state conservation efforts attempted to recover and conserve vernal pools and their inhabitants across California. B. lynchi was Federally listed as threatened under the Endangered Species Act in 1994 (United States Fish and Wildlife Service 1994).
B. lynchi faces increasing pressure from habitat loss, habitat fragmentation, and loss of dispersal vectors. Recent studies have attempted to identify genetic structuring in the disjunct populations of B. lynchi using mitochondrial DNA (Aguilar 2011; Deiner et al. 2017) and RAD sequencing (Kieran and Finger 2020). Despite this, much is still unknown about the species, including sex determination, chromosome structure and even genome size. B. lynchi was chosen as a California Conservation Genetics Project (CCGP) (Shaffer et al. 2022) species in order to facilitate future adaptation and dispersal research, to identify the distribution of genomic variation across the landscape and determine how historical habitat loss has impacted contemporary genomic variation.
This genomic resource will provide tools for researchers to better understand how B. lynchi moves across the landscape, colonizes new habitats, and adapts to local conditions, which will in turn help conservationists and managers better prepare this species against a future that contains 50 million Californians, less rain, and longer drought periods (Ullrich et al. 2018).
Methods
Biological materials
Specimens were collected on 5 March 2021, under Federal 10(A)1(a) collection permit TE-28101C-0. Specimens were collected via dip-net from private conservation lands in Placer County, CA (38.884802, −121.452608) and were transferred live to the lab, where they were immediately frozen in liquid nitrogen and stored at −80 °C until extraction (Fig. 1).
Fig. 1.
(A) A microscope image of Branchinecta lynchi females at 10×. (B) A large vernal pool being dip-net in Solano County, CA. Photos courtesy Shannon Kieran Blair.
Nucleic acid library preparation
High molecular weight (HMW) genomic DNA (gDNA) extraction and nucleic acid library preparation were carried out by the University of California Davis DNA Technologies Core (Davis, CA). A whole-body sample from a male and a female B. lynchi was homogenized in 500 µl of homogenization buffer (10 mM Tris–HCl, pH 8.0 and 25 mM EDTA) using TissueRuptor II (Qiagen, Hilden, Germany; Cat. # 9002755). 500 µl of lysis buffer (10 mM Tris, 25 mM EDTA, 200 mM NaCl, and 1% SDS) and proteinase K (100 µg/ml) were added to the homogenate and incubated overnight at room temperature followed by RNAse A (20 µg/ml) treatment at 37 °C for 30 min. The lysate was cleaned with equal volumes of phenol/chloroform using phase-lock gels (Quantabio, Beverley, MA; Cat. # 2302830) and the DNA was precipitated by adding 0.4× volume of 5 M ammonium acetate and 3× volume of ice-cold ethanol. The DNA pellet was washed twice with 70% ethanol and resuspended in an elution buffer (10 mM Tris, pH 8.0). The purity of the DNA was accessed using NanoDrop spectrophotometer (260/280 and 260/230 ratios) and the integrity of the HMW gDNA was verified on a Femto pulse system (Agilent Technologies, Santa Clara, CA).
DNA sequencing and genome assembly
The HiFi SMRTbell libraries were constructed using the SMRTbell Express Template Prep Kit v2.0 (Pacific Biosciences—PacBio, Menlo Park, CA, Cat. #100-938-900) according to the manufacturer’s instructions. HMW gDNA was sheared to a target DNA size distribution between 12 and 20 kb. For library preparation input, the sheared gDNA was concentrated using 1.8× of AMPure PB beads (PacBio, Cat. #100-265-900) for the removal of single-strand overhangs at 37 °C for 15 min, followed by further enzymatic steps of DNA damage repair at 37 °C for 30 min, end repair and A-tailing at 20 °C for 10 min and 65 °C for 30 min, and ligation of overhang adapter v3 at 20 °C for 60 min. The SMRTbell libraries were purified and concentrated with 0.8× AMPure PB beads for size selection with 40% diluted AMPure PB beads to remove short SMRTbell templates, <3 kb. The 15 to 17 kb average HiFi SMRTbell libraries were sequenced on 8M SMRT cells (1 per library), Sequel II sequencing chemistry 2.0, and 30-h movies each at UC Davis DNA Technologies Core (Davis, CA) on a PacBio Sequel II sequencer.
Initial contig assembly
PacBio HiFi Reads were assembled into contigs using the PacBio “ipa” software program version 1.3.1 with default parameters. Each specimen (male and female) was assembled separately, and each assembly was evaluated for quality and completeness. Because the male assembly was slightly larger and more complete, further sequencing and assembly were carried out for the male assembly only.
Proximo Hi-C sequencing and scaffolded assembly
Chromatin conformation capture data were generated using a Phase Genomics (Seattle, WA) Proximo Hi-C 4.0 Kit, which is a commercially available version of the Hi-C protocol (Lieberman-Aiden et al. 2009). Following the manufacturer’s instructions for the kit, intact cells were crosslinked using a formaldehyde solution, digested using the DPNII, DDE1, HINF, and MSEI restriction enzymes, end repaired with biotinylated nucleotides, and proximity ligated to create chimeric molecules composed of fragments from different regions of the genome that were physically proximal in vivo, but not necessarily genomically proximal. Continuing with the manufacturer’s protocol, molecules were pulled down with streptavidin beads and processed into an Illumina-compatible sequencing library. Sequencing was performed on an Illumina NovaSeq (San Diego, CA).
Reads were aligned to the draft assembly also following the Phase Genomics manufacturer recommendations. Briefly, reads were aligned using BWA-MEM (Li and Durbin 2010) with the -5SP and -t 8 options specified, and all other options default. SAMBLASTER (Faust and Hall 2014) was used to flag PCR duplicates, which were later excluded from analysis. Alignments were then filtered with samtools (Li et al. 2009) using the -F 2304 filtering flag to remove non-primary and secondary alignments. Putative misjoined contigs were broken using Juicebox (Rao et al. 2014; Durand et al. 2016) based on the Hi-C alignments.
Phase Genomics’ Proximo Hi-C genome scaffolding platform was used to create chromosome-scale scaffolds from the corrected assembly as described in Bickhart et al. (2017). As in the LACHESIS method (Burton et al. 2013), this process computes a contact frequency matrix from the aligned Hi-C read pairs, normalized by the number of restriction enzyme cut sites on each contig, and constructs scaffolds in such a way as to optimize expected contact frequency and other statistical patterns in Hi-C data. Approximately 40,000 separate Proximo runs were performed to optimize the number of scaffolds and scaffold construction in order to make the scaffolds as concordant with the observed Hi-C data as possible. Finally, Juicebox was again used to correct scaffolding errors.
Assembly metrics and validation
The assembly completeness was estimated by running BUSCO (Waterhouse et al. 2018) version 5.2.2 in genome mode using the arthropoda_odb10 database. Assembly statistics were calculated using genometools (Gremme et al. 2013) version 1.5.9 and QUAST (Mikheenko et al. 2018) version 5.0.2. Further quality assessment was carried out following the frameshift pipeline described in Korlach et al. (2017).
Initial sex determination analysis
Two methods were used to investigate a potential sex-determining chromosome in B. lynchi. First, PacBio HiFi sequences from the female B. lynchi specimen described earlier in this manuscript were aligned to the male reference assembly using minimap2 version 2.16 (Li 2021) using the -asm20 option. Alignments were filtered male HiFi reads were aligned identically. Next, per-base coverage was calculated using bedtools version 2.27 (Quinlan and Hall 2010) separately for the male and female specimens. The ratio of male/female coverage for each scaffold and contig was calculated separately. Scaffolds were considered potential sex chromosomes if the ratio of male/female coverage exceeded 1.96× the median ratio (1.45). Next, association tests were undertaken using RAD sequencing data previously collected and sequenced from 47 B. lynchi individuals (34 males and 13 females) collected from a single vernal pool complex in Merced, CA (Kieran and Finger 2020). These RAD sequencing data were aligned to the reference genome using bwa-mem and filtered using samtools. The angsd (Korneliussen et al. 2014) software kit version 9.34 was used to run an association test with sex as the tested phenotype. Genes were predicted ab initio by Augustus v3.04 (Stanke et al. 2006) trained on the Daphnia magna annotated gene set (accession number GCF_003990815.1) retrieved from NCBI March 2022. To explore the contigs, we used Augustus to predict genes on each contig and used Blast2Go version 6.0.3 to query the sequence of each predicted protein against the NCBI nucleotide database with an e-value threshold of 1e−5 as a cutoff for potential matches (Table 1).
Table 1.
Assembly pipeline and software used.
Assembly | Software | Version |
---|---|---|
K-mer counting | Jellyfish | 2.2.6 |
Estimation of genome size and heterozygosity | GenomeScope | 2 |
De novo assembly (contigging) | Ipa | 1.3.1 |
Long read, genome–genome alignment | Minimap2 | 2.22 |
Scaffolding | ||
Hi-C mapping | Phase Genomics Proximo Hi-C pipeline https://phasegenomics.github.io/2019/09/19/hic-alignment-and-qc.html |
Commit 5f9d55ea3162f8d21988f486b5d012f0800abdc4 |
Hi-C scaffolding | Juicebox | 2 |
Hi-C contact map generation | ||
Short-read alignment | BWA-MEM | 0.7.17-r1188 |
SAM/BAM processing | SAMBLASTER | 1.11 |
SAM/BAM filtering | samtools | 0.3.0 |
Matrix generation and balancing | Phase Genomics Proximo Hi-C pipeline | Commit 5f9d55ea3162f8d21988f486b5d012f0800abdc4 |
Benchmarking | ||
Basic assembly stats | QUAST | 5.0.2 |
GenomeTools | 1.5.9 | |
Assembly completeness | BUSCO | 5.2.2 |
Merqury | 1.3 | |
Blobtoolkit | 3.1.6 |
Software citations are listed in the text.
Results
Genome assembly
The Phase Genomics Proximo Hi-C Illumina Novaseq sequencing generated a total of 90,119,568 PE150 read pairs. Initial analysis in Juicebox introduced a total of 9 breaks in 9 contigs. The assembled genome (see Table 2) is 575,641,406 bp (575.6 Mb) in length. It comprises 22 chromosome-length scaffolds (96.85% of all sequence length) and 195 unscaffolded contigs. Because these long scaffolds have not been officially assigned to chromosomes, NCBI reports 217 “scaffolds” (all scaffolds and unscaffolded contigs) and 1,304 “contigs” (all scaffolds and unscaffolded contigs after spanning 1,087 gaps). The N50 is 23,437,814 bp. The scaffold L50 is 10. The longest scaffold is 36,901,223 bp. The BUSCO score for this genome is 90.0% (89.2% complete and unduplicated, 0.8% complete and duplicated, 4.0% fragmented, and 6.0% missing, n = 1,013) (Fig. 2).
Table 2.
Sequencing and assembly statistics, and accession numbers.
BioProjects and vouchers | CCGP NCBI Bio-project | PRJNA720569 http://www.ncbi.nlm.nih.gov/bioproject/PRJNA720569 |
Branchinecta lynchi NCBI Bio-project | PRJNA811230 https://www.ncbi.nlm.nih.gov/bioproject/PRJNA811230 |
|
NCBI Bio-sample | SAMN26264359 https://www.ncbi.nlm.nih.gov/biosample/SAMN26264343 |
|
Genome sequence | PacBio HiFi long-read runs (male) | 1 PACBIO_SMRT (Sequel II) runs: 1M spots, 10.9G bases, 2.6 Gb downloads |
Phase Genomics Proximo Hi-C sequencing | 1 Illumina NovaSeq 6000 run: 90.1M spots, 27G bases, 11.4 Gb downloads | |
PacBio HiFi NCBI SRA Accession | SRX15225444 https://www.ncbi.nlm.nih.gov/sra/SRX15225444 |
|
Proximo HiC Illumina NCBI SRA Accession | SRX15225445 https://www.ncbi.nlm.nih.gov/sra/SRX15225445 |
|
Genome assembly | HiFi read coverage | 18.8× |
Number of contigs | 1,304 | |
Contig N50 (bp) | 902,028 | |
Longest scaffold | 36,901,223 | |
Number of scaffolds | 217 | |
Scaffolds assigned to chromosomes | 22 | |
Scaffold N50 (bp) | 23,437,814 | |
Size of final assembly (bp) | 575,641,406 | |
Gaps per Gbp | 1,889 | |
NCBI Genome Assembly Accession | GCA_023053575.1 https://www.ncbi.nlm.nih.gov/assembly/GCA_023053575.1 |
|
Assembly Quality | Assembly Quality identifiera | 6.c.Q57 |
Base pair QV (Merqury) | 57.7 | |
Indel QV (frameshift analysis) | 50.1 | |
k-mer completeness | 77.9% | |
BUSCO completeness (C:S:D:F:M) | 90.0%:89.2%:0.8%:4.0%:6.0% |
aWe follow the quality metric nomenclature established by (Rhie et al. 2021) with the genome quality code x·y·Q, where x = log10[contig NG50]; y = log10[scaffold NG50], “c” denotes “complete” telomere-to-telomere continuity; Q = Phred base accuracy QV (quality value).
Fig. 2.
(A) K-mer spectra produced by genoscope. (B) BlobToolKit snail plot showing N50 metrics for Branchinecta lynchi assembly and BUSCO scores for the Arthopoda set of orthologs. (C) Contact map of the final assembly. This map visualizes the high percentage of sequence contained in scaffolds, suggesting high contiguity of the assembly.
Sex chromosome determination
Analysis of male/female chromosome coverage revealed no potential scaffolds corresponding to an X or Z chromosome (Fig. 3). Association testing of RAD-seq-derived SNPs from 47 individuals in a single population revealed no potential SNPs associated with sex. There were 6 unscaffolded contigs totaling 1,189,164 bases found in the male sequence with no coverage at all in the female sequence. Because we recovered more overall sequence from the male than the female, this is not necessarily indicative of a contig or scaffold related to sex determination, but we investigated each contig for genomic content anyway. Of 123 predicted genes, only 29 returned positive BLAST hits using Blast2Go. Of these 29, 23 were B. lynchi microsatellite sequences. Three of remaining 6 sequences were uncharacterized. Of the 3 characterized hits 2 were for a trehalase gene and 1 was for frizzled receptor 8a (see Table 3).
Fig. 3.
Male/female coverage ratio of each of the 22 chromosome-length scaffolds for the B. lynchi assembly. No scaffold had high enough coverage differential to be considered a likely sex chromosome. Genome-wide median coverage ratio was 1.45.
Table 3.
Characterization of predicted genes on scaffolds with no coverage in the female sequence.
Contig | Length | Predicted genes | Successful BLAST hits | Gene descriptions |
---|---|---|---|---|
ctg.000028F_fragment_2_debris | 50,665 | 4 | 2 | Microsatellite (2) |
ctg.000028F_fragment_3 | 152,102 | 15 | 6 | Microsatellite (4), frizzled receptor 8a (1), uncharacterized (1) |
ctg.000467F | 605,364 | 57 | 11 | Microsatellite (11) |
ctg.001020F | 162,245 | 17 | 4 | Microsatellite (4) |
ctg.001305F | 194,778 | 29 | 6 | Microsatellite (2), trehalase (2), uncharacterized (2) |
ctg.002381F | 24,010 | 1 | 0 | NA |
Values in parentheses after gene descriptions reflect the number of BLAST hits matching that description for each contig.
Discussion
The genome, consisting of 22 chromosome-length scaffolds that comprise 96.85% of the 575.6 Mb total sequence, fits into the size range of other sequenced branchiopods, which range from 80 to 850 Mb (de Vos et al. 2021). Although no sex chromosome could be easily identified by coverage analysis or association testing, this is not surprising. Few crustaceans have sex chromosomes, and many branchiopods show complex sexual development patterns including androdioecy, variable hermaphrodism, and gynandromorphism. In the branchiopod clam shrimp Eulimnadia texana, the sex-determining region takes up nearly half the genome (Baldwin-Brown et al. 2018). RAD sequencing is a form of reduced-representation sequencing that produces sparse markers. We recommend whole genome resequencing and differential expression analysis on multiple male/female specimens be used to identify more definitely the method of sex determination in this species. The 2 characterized genes we found on unscaffolded contigs missing from the female assembly (but present in the male assembly) did not suggest either contig was specifically a sex-determining region.
This genome will provide direct resources for California conservationists as they attempt to protect and recover the endangered, endemic Vernal Pool Fairy Shrimp. Exploring adaptation and differentiation on a genome scale will help managers determine how and where to translocate or introduce new populations. The ability to perform large-scale ecological genomics studies may allow researchers to finally understand the key hydrological and biochemical variables that are key to ensuring new populations of the species survive, as well as the genetic basis and plasticity of the response to environmental change.
Acknowledgments
PacBio Sequel II library prep and sequencing were carried out at the DNA Technologies and Expression Analysis Cores at the UC Davis Genome Center, supported by NIH Shared Instrumentation Grant 1S10OD010786-01. We thank the staff at the UC Davis DNA Technologies and Expression Analysis Cores for their diligence and dedication to generating high-quality sequence data. We wish to acknowledge Westervelt Ecological Services, especially Matt Gause, Charlotte Marks, and Tara Collins, for their timely assistance in accessing Westervelt properties to collect specimens for this project.
Contributor Information
Shannon Rose Kieran Blair, Genomic Variation Laboratory, Department of Animal Science, University of California, Davis, Davis, CA, United States.
Andrea Schreier, Genomic Variation Laboratory, Department of Animal Science, University of California, Davis, Davis, CA, United States.
Merly Escalona, Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, United States.
Amanda J Finger, Genomic Variation Laboratory, Department of Animal Science, University of California, Davis, Davis, CA, United States.
Shannon E K Joslin, U.S. National Park Service, Yosemite National Park, El Portal, CA, United States.
Ruta Sahasrabudhe, DNA Technologies and Expression Analysis Cores, UC Davis Genome Center, University of California, Davis, Davis, CA, United States.
Mohan P A Marimuthu, DNA Technologies and Expression Analysis Cores, UC Davis Genome Center, University of California, Davis, Davis, CA, United States.
Oanh Nguyen, DNA Technologies and Expression Analysis Cores, UC Davis Genome Center, University of California, Davis, Davis, CA, United States.
Noravit Chumchim, DNA Technologies and Expression Analysis Cores, UC Davis Genome Center, University of California, Davis, Davis, CA, United States.
Emily Reister Morris, Phase Genomics, Seattle, WA, United States.
Hayley Mangelson, Phase Genomics, Seattle, WA, United States.
Joshua Hull, U.S. Fish and Wildlife Service, Sacramento Fish and Wildlife Office, Sacramento, CA, United States.
Funding
This work was funded by the U.S. Bureau of Reclamation [Grant #R20AP00037]. This work was supported by the California Conservation Genomics Project, with funding provided to the University of California by the State of California, State Budget Act of 2019 [UC Award ID RSI-19-690224].
Data availability
Data generated for this study are available under NCBI BioProject PRJNA720569. Raw sequencing data for sample BRLY_1 (NCBI BioSample SAMN26264359 are deposited in the NCBI Short Read Archive (SRA) under SRX15225444 to SRX15225445.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data generated for this study are available under NCBI BioProject PRJNA720569. Raw sequencing data for sample BRLY_1 (NCBI BioSample SAMN26264359 are deposited in the NCBI Short Read Archive (SRA) under SRX15225444 to SRX15225445.