The genome sequence of the Common Goldeneye, Bucephala clangula (Linnaeus, 1758)
Rosa Lopez Colom, Michelle F. O’Brien, Martin Pippel, Rauri C.K. Bowie
TL;DR
This paper provides the genome sequence of the Common Goldeneye bird, including detailed chromosomal and mitochondrial data.
Contribution
The novel contribution is the high-quality genome assembly of Bucephala clangula, including scaffolded chromosomes and mitochondrial DNA.
Findings
The genome assembly is 1,190.92 megabases long with 95.05% scaffolded into 40 chromosomal pseudomolecules.
The mitochondrial genome is 16.63 kilobases long and has been fully assembled.
Abstract
We present a genome assembly from a male Bucephala clangula (Common Goldeneye; Chordata; Aves; Anseriformes; Anatidae). The genome sequence has a total length of 1,190.92 megabases. Most of the assembly (95.05%) is scaffolded into 40 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled, with a length of 16.63 kilobases.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
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Figure 5| Project information | |||
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| Bucephala clangula (common goldeneye) | ||
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| PRJEB68286 | ||
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| SAMEA112468123 | ||
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| 107022 | ||
| Specimen information | |||
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| bBucCla1 | SAMEA112468148 | muscle |
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| bBucCla1 | SAMEA112468148 | muscle |
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| bBucCla1 | SAMEA112468148 | muscle |
| Sequencing information | |||
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| ERR12259841 | 3.61e+08 | 54.51 |
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| ERR12257416 | 0.00e+00 | 0.0 |
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| ERR12257417 | 2.55e+06 | 30.2 |
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| ERR12321241 | 7.77e+07 | 11.74 |
| Genome assembly | ||
|---|---|---|
| Assembly name | bBucCla1.1 | |
| Assembly accession | GCA_964059595.1 | |
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| Assembly level for primary assembly | chromosome | |
| Span (Mb) | 1,190.92 | |
| Number of contigs | 991 | |
| Number of scaffolds | 537 | |
| Longest scaffold (Mb) | 130.64 | |
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| Contig N50 length | 4.27 Mb |
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| Scaffold N50 length | 66.36 Mb |
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| Consensus quality (QV) | Primary: 60.8; alternate: 61.6; combined: 61.3 |
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| Primary: 91.65%; alternate: 71.68%; combined: 99.48% |
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| BUSCO
| C:97.0%[S:96.7%,D:0.3%],
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| Percentage of assembly assigned to chromosomes | 95.05% |
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| Sex chromosomes | Z |
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| Organelles | Mitochondrial genome: 16.63 kb |
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| INSDC accession | Name | Length (Mb) | GC% |
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| 1 | 130.64 | 40 | |
| 2 | 120.4 | 40.5 | |
| 3 | 96.81 | 39.5 | |
| 4 | 79.0 | 40.5 | |
| 5 | 77.85 | 40 | |
| 6 | 66.36 | 40.5 | |
| 7 | 65.89 | 41.5 | |
| 8 | 40.16 | 41.5 | |
| 9 | 38.61 | 42 | |
| 10 | 33.13 | 42.5 | |
| 11 | 27.07 | 43 | |
| 12 | 22.62 | 43.5 | |
| 13 | 22.57 | 43.5 | |
| 14 | 22.03 | 42.5 | |
| 15 | 21.87 | 43 | |
| 16 | 20.45 | 44.5 | |
| 17 | 18.2 | 45 | |
| 18 | 16.97 | 46 | |
| 19 | 16.58 | 45.5 | |
| 20 | 13.54 | 47 | |
| 21 | 12.42 | 48 | |
| 22 | 12.17 | 47 | |
| 23 | 9.76 | 47.5 | |
| 24 | 7.83 | 49 | |
| 25 | 7.8 | 50 | |
| 26 | 7.09 | 52 | |
| 27 | 6.81 | 51.5 | |
| 28 | 6.38 | 52 | |
| 29 | 6.01 | 49 | |
| 30 | 4.19 | 56 | |
| 31 | 3.4 | 57.5 | |
| 32 | 2.01 | 46 | |
| 33 | 1.98 | 57 | |
| 34 | 1.34 | 54.5 | |
| 35 | 1.28 | 46 | |
| 36 | 1.03 | 60.5 | |
| 37 | 0.25 | 55 | |
| 38 | 0.22 | 64 | |
| 39 | 0.12 | 65 | |
| Z | 89.14 | 40.5 | |
| MT | 0.02 | 49.5 |
| Software tool | Version | Source |
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| BLAST | 2.14.0 |
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| BlobToolKit | 4.3.9 |
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| BUSCO | 5.5.0 |
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| bwa-mem2 | 2.2.1 |
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| fasta_windows | 0.2.4 |
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| FastK | 666652151335353eef2fcd58880bcef5bc2928e1 |
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| Gfastats | 1.3.6 |
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| GoaT CLI | 0.2.5 |
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| Hifiasm | 0.19.5-r587 |
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| HiGlass | 44086069ee7d4d3f6f3f0012569789ec138f42b8
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| MerquryFK | d00d98157618f4e8d1a9190026b19b471055b22e |
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| Minimap2 | 2.24-r1122 |
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| MitoHiFi | 3 |
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| MultiQC | 1.14, 1.17, and 1.18 |
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| Nextflow | 23.10.0 |
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| PretextView | 0.2.5 |
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| PretextSnapshot | - |
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| purge_dups | 1.2.5 |
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| samtools | 1.19.2 |
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| sanger-tol/ascc | 0.1.0 |
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| sanger-tol/
| 0.5.0 |
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| Seqtk | 1.3 |
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| Singularity | 3.9.0 |
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| TreeVal | 1.2.0 |
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| YaHS | 1.2a.2 |
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- —Wellcome Trust
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Taxonomy
TopicsIdentification and Quantification in Food · Genomics and Phylogenetic Studies · Genetic diversity and population structure
Species taxonomy
Eukaryota; Opisthokonta; Metazoa; Eumetazoa; Bilateria; Deuterostomia; Chordata; Craniata; Vertebrata; Gnathostomata; Teleostomi; Euteleostomi; Sarcopterygii; Dipnotetrapodomorpha; Tetrapoda; Amniota; Sauropsida; Sauria; Archelosauria; Archosauria; Dinosauria; Saurischia; Theropoda; Coelurosauria; Aves; Neognathae; Galloanserae; Anseriformes; Anatidae; Anatinae; Bucephala; Bucephala clangula (Linnaeus, 1758) (NCBI:txid107022)
Background
The Common Goldeneye ( Bucephala clangula) is a medium-sized duck found across the Northern Hemisphere. In the UK, Goldeneyes are primarily winter visitors, arriving in October from Scandinavia, with breeding populations limited to Scotland ( Humble & McGill, 2019).
Although sexual dimorphism is present in this species, both males and females have distinct golden-coloured eyes and orange legs. The male’s eyes stand out due to its dark green (almost black) head, white cheeks, and black-and-white striped wings. Female Goldeneyes have a more brownish hue to their head plumage, with a mottled grey-brown and white body ( Humble & McGill, 2019). They are approximately 46 cm in length, have a wingspan of up to 80 cm, weigh between 650 g and 1,200 g, and can be observed in intertidal, freshwater and wetland habitats ( RSPB, 2023). Although the maximum recorded age of a ringed bird is 12 years, on average, they have a lifespan of six years, with breeding typically beginning at two years of age ( British Trust for Ornithology, 2015).
During the breeding season, from April onwards, courtship displays can be observed, with males throwing their heads back and kicking water into the air while producing a whistling sound ( Humble & McGill, 2019). Goldeneyes are cavity-nesting waterfowl and therefore rely on old hollow trees or cavities created by other species (e.g. squirrels, woodpeckers, etc.). Due to this nesting limitation, a common conservation technique is to place wooden nest boxes to support breeding success ( Pöysä & Pöysä, 2002). From late April to early June, eggs are laid, with the average clutch being from 9 to 11 eggs ( Owen et al., 1986). Within one to two days of hatching, ducklings leap from their tree cavity nests, which can be several metres high, to the ground, where they then follow their mother to bodies of water. This breeding behaviour is better developed in mature forests, where nesting sites are available and a well-developed understory is present. Observations of different types of nesting parasitism have been recorded, including egg-laying in the nests of other female goldeneyes in addition to the females' own nests, increasing the brood output ( Åhlund & Andersson, 2001).
Apart from being cavity-nesting waterfowl, they are also part of the diving duck family and can forage depths of 7 m for aquatic invertebrates, molluscs, crustaceans, as well as small fish ( Owen et al., 1986).
Although the Common Goldeneye has a conservation IUCN status of ‘least concern’ ( BirdLife International, 2018) with wetland habitats increasingly impacted by environmental changes, studying the species' genetics could offer valuable insights for conservation efforts and help ensure its long-term survival.
Here we present a chromosomally complete genome sequence for Bucephala clangula, based on a specimen from Gloucester, England, United Kingdom ( Figure 1).
Photograph of the Bucephala clangula (bBucCla1) specimen used for genome sequencing.
Genome sequence report
Sequencing data
The genome of a specimen of Bucephala clangula ( Figure 1) was sequenced using Pacific Biosciences single-molecule HiFi long reads, generating 30.20 Gb (gigabases) from 2.55 million reads, which were used to assemble the genome. GenomeScope analysis estimated the haploid genome size at 1,177.45 Mb, with a heterozygosity of 0.42% and repeat content of 11.98%. These estimates guided expectations for the assembly. Based on the estimated genome size, the sequencing data provided approximately 45 coverage. Hi-C sequencing produced 54.51 Gb from 360.97 million reads, used to scaffold the assembly. RNA sequencing data were also generated and are available in public sequence repositories. Table 1 summarises the specimen and sequencing details.
Table 1.: Specimen and sequencing data for Bucephala clangula.
Assembly statistics
The primary haplotype was assembled, and contigs corresponding to an alternate haplotype were also deposited in INSDC databases. The assembly was improved by manual curation, which corrected 56 misjoins and missing joins and removed two haplotypic duplications. These interventions decreased the scaffold count by 5.11%. The final assembly has a total length of 1,190.92 Mb in 537 scaffolds, with 454 gaps, and a scaffold N50 of 66.36 Mb ( Table 2).
Table 2.: Genome assembly data for Bucephala clangula.
The snail plot in Figure 2 provides a summary of the assembly statistics, indicating the distribution of scaffold lengths and other assembly metrics. Figure 3 shows the distribution of scaffolds by GC proportion and coverage. Figure 4 presents a cumulative assembly plot, with separate curves representing different scaffold subsets assigned to various phyla, illustrating the completeness of the assembly.
Genome assembly of Bucephala clangula, bBucCla1.1: metrics.The BlobToolKit snail plot provides an overview of assembly metrics and BUSCO gene completeness. The circumference represents the length of the whole genome sequence, and the main plot is divided into 1,000 bins around the circumference. The outermost blue tracks display the distribution of GC, AT, and N percentages across the bins. Scaffolds are arranged clockwise from longest to shortest and are depicted in dark grey. The longest scaffold is indicated by the red arc, and the deeper orange and pale orange arcs represent the N50 and N90 lengths. A light grey spiral at the centre shows the cumulative scaffold count on a logarithmic scale. A summary of complete, fragmented, duplicated, and missing BUSCO genes in the aves_odb10 set is presented at the top right. An interactive version of this figure is available at https://blobtoolkit.genomehubs.org/view/GCA_964059595.1/dataset/GCA_964059595.1/snail.
Genome assembly of Bucephala clangula, bBucCla1.1: BlobToolKit GC-coverage plot.Blob plot showing sequence coverage (vertical axis) and GC content (horizontal axis). The circles represent scaffolds, with the size proportional to scaffold length and the colour representing phylum membership. The histograms along the axes display the total length of sequences distributed across different levels of coverage and GC content. An interactive version of this figure is available at https://blobtoolkit.genomehubs.org/view/GCA_964059595.1/dataset/GCA_964059595.1/blob.
Genome assembly of Bucephala clangula, bBucCla1.1: BlobToolKit cumulative sequence plot.The grey line shows cumulative length for all scaffolds. Coloured lines show cumulative lengths of scaffolds assigned to each phylum using the buscogenes taxrule. An interactive version of this figure is available at https://blobtoolkit.genomehubs.org/view/GCA_964059595.1/dataset/GCA_964059595.1/cumulative.
Most of the assembly sequence (95.05%) was assigned to 40 chromosomal-level scaffolds, representing 39 autosomes and the Z sex chromosome. These chromosome-level scaffolds, confirmed by Hi-C data, are named according to size ( Figure 5; Table 3).
Genome assembly of Bucephala clangula: Hi-C contact map of the bBucCla1.1 assembly, generated using PretextSnapshot.Chromosomes are shown in order of size.
Table 3.: Chromosomal pseudomolecules in the genome assembly of Bucephala clangula, bBucCla1.
The mitochondrial genome was also assembled. This sequence is included as a contig in the multifasta file of the genome submission and as a standalone record.
Assembly quality metrics
The estimated Quality Value (QV) and k-mer completeness metrics, along with BUSCO completeness scores, were calculated for each haplotype and the combined assembly. The QV reflects the base-level accuracy of the assembly, while k-mer completeness indicates the proportion of expected k-mers identified in the assembly. BUSCO scores provide a measure of completeness based on benchmarking universal single-copy orthologues.
The combined primary and alternate assemblies achieve an estimated QV of 61.3. The k-mer completeness is 91.65% for the primary haplotype and 71.68% for the alternate haplotype; and 99.48% for the combined primary and alternate assemblies. BUSCO v.5.5.0 analysis using the aves_odb10 reference set ( n = 8,338) identified 97.0% of the expected gene set (single = 96.7%, duplicated = 0.3%).
Table 2 provides assembly metric benchmarks adapted from Rhie et al. (2021) and the Earth BioGenome Project Report on Assembly Standards September 2024. The primary assembly achieves the EBP reference standard of 6.C.Q60.
Methods
Sample acquisition
Several small samples of pectoral muscle were collected from a deceased Common Goldeneye, Bucephala clangula, specimen ID NHMUK014561651 (ToLID bBucCla1). This diving duck species was collected from a private collection in Gloucestershire in 2022, and stored in –20 °C freezers prior to sampling. The specimen was a male.
Metadata collection for samples adhered to the Darwin Tree of Life project standards described by Lawniczak et al. (2022).
Nucleic acid extraction
The workflow for high molecular weight (HMW) DNA extraction at the Wellcome Sanger Institute (WSI) Tree of Life Core Laboratory includes a sequence of procedures: sample preparation and homogenisation, DNA extraction, fragmentation and purification ( Howard et al., 2025). Detailed protocols are available on protocols.io ( Denton et al., 2023). The bBucCla1 sample was prepared for DNA extraction by weighing and dissecting it on dry ice ( Jay et al., 2023). Tissue from the muscle was cryogenically disrupted using the Covaris cryoPREP ^®^ Automated Dry Pulverizer ( Narváez-Gómez et al., 2023).
HMW DNA was extracted in the WSI Scientific Operations core using the Automated MagAttract v2 protocol ( Oatley et al., 2023). The DNA was sheared into an average fragment size of 12–20 kb in a Megaruptor 3 system ( Bates et al., 2023). Sheared DNA was purified by solid-phase reversible immobilisation, using AMPure PB beads to eliminate shorter fragments and concentrate the DNA ( Strickland et al., 2023). The concentration of the sheared and purified DNA was assessed using a Nanodrop spectrophotometer and Qubit Fluorometer using the Qubit dsDNA High Sensitivity Assay kit. Fragment size distribution was evaluated by running the sample on the FemtoPulse system. For this sample, the extracted DNA had a Qubit concentration of 17.52 ng/μL and a yield of 823.44 ng. Spectrophotometric measurements indicated 260/280 and 260/230 ratios of 2.08 and 3.58, respectively.
RNA was extracted from muscle tissue of bBucCla1 in the Tree of Life Laboratory at the WSI using the RNA Extraction: Automated MagMax™ mirVana protocol ( do Amaral et al., 2023). The RNA concentration was assessed using a Nanodrop spectrophotometer and a Qubit Fluorometer using the Qubit RNA Broad-Range Assay kit. Analysis of the integrity of the RNA was done using the Agilent RNA 6000 Pico Kit and Eukaryotic Total RNA assay.
Hi-C sample preparation and crosslinking
Hi-C data were generated from the muscle of the bBucCla1 sample using the Arima-HiC v2 kit (Arima Genomics) with 20–50 mg of frozen tissue (stored at –80 °C). As per manufacturer’s instructions, tissue was fixed, and the DNA crosslinked using a TC buffer with 22% formaldehyde concentration, and a final formaldehyde concentration of 2%. The tissue was then homogenised using the Diagnocine Power Masher-II. The crosslinked DNA was digested using a restriction enzyme master mix, then biotinylated and ligated. A clean up was performed with SPRIselect beads prior to library preparation. DNA concentration was quantified using the Qubit Fluorometer v4.0 (Thermo Fisher Scientific) and Qubit HS Assay Kit, and sample biotinylation percentage was estimated using the Arima-HiC v2 QC beads.
Library preparation and sequencing
Library preparation and sequencing were performed at the WSI Scientific Operations core.
** PacBio HiFi **
At a minimum, samples were required to have an average fragment size exceeding 8 kb and a total mass over 400 ng to proceed to the low-input SMRTbell Prep Kit 3.0 protocol (Pacific Biosciences), depending on genome size and sequencing depth required. Libraries were prepared using the SMRTbell Prep Kit 3.0 as per the manufacturer's instructions. The kit includes the reagents required for end repair/A-tailing, adapter ligation, post-ligation SMRTbell bead cleanup, and nuclease treatment. Size-selection and clean-up were carried out using diluted AMPure PB beads (Pacific Biosciences). DNA concentration was quantified using the Qubit Fluorometer v4.0 (ThermoFisher Scientific) with Qubit 1X dsDNA HS assay kit and the final library fragment size analysis was carried out using the Agilent Femto Pulse Automated Pulsed Field CE Instrument (Agilent Technologies) and the gDNA 55kb BAC analysis kit.
Samples were sequenced using the Sequel IIe system (Pacific Biosciences, California, USA). The concentration of the library loaded onto the Sequel IIe was in the range 40–135 pM. The SMRT link software, a PacBio web-based end-to-end workflow manager, was used to set-up and monitor the run, as well as perform primary and secondary analysis of the data upon completion.
** Hi-C **
For Hi-C library preparation, the biotinylated DNA constructs were fragmented using a Covaris E220 sonicator and size-selected to 400–600 bp using SPRISelect beads. DNA was then enriched using Arima-HiC v2 Enrichment beads. The NEBNext Ultra II DNA Library Prep Kit (New England Biolabs) was used for end repair, A-tailing, and adapter ligation, following a modified protocol in which library preparation is carried out while the DNA remains bound to the enrichment beads. PCR amplification was performed using KAPA HiFi HotStart mix and custom dual-indexed adapters (Integrated DNA Technologies) in a 96-well plate format. Depending on sample concentration and biotinylation percentage determined at the crosslinking stage, samples were amplified for 10–16 PCR cycles. Post-PCR clean-up was carried out using SPRISelect beads. The libraries were quantified using the Accuclear Ultra High Sensitivity dsDNA Standards Assay kit (Biotium) and normalised to 10 ng/μL before sequencing. Hi-C sequencing was performed on the Illumina NovaSeq 6000 instrument.
** RNA **
Poly(A) RNA-Seq libraries were constructed using the NEB Ultra II RNA Library Prep kit, following the manufacturer’s instructions. RNA sequencing was performed on the Illumina NovaSeq 6000 instrument.
Genome assembly, curation and evaluation
** Assembly **
Prior to assembly of the PacBio HiFi reads, a database of k-mer counts ( k = 31) was generated from the filtered reads using FastK. GenomeScope2 ( Ranallo-Benavidez et al., 2020) was used to analyse the k-mer frequency distributions, providing estimates of genome size, heterozygosity, and repeat content.
The HiFi reads were first assembled using Hifiasm ( Cheng et al., 2021) with the --primary option. Haplotypic duplications were identified and removed using purge_dups ( Guan et al., 2020). The Hi-C reads ( Rao et al., 2014) were mapped to the primary contigs using bwa-mem2 ( Vasimuddin et al., 2019), and the contigs were scaffolded in YaHS ( Zhou et al., 2023) using the --break option for handling potential misassemblies. The scaffolded assemblies were evaluated using Gfastats ( Formenti et al., 2022), BUSCO ( Manni et al., 2021) and MERQURY.FK ( Rhie et al., 2020).
The mitochondrial genome was assembled using MitoHiFi ( Uliano-Silva et al., 2023), which runs MitoFinder ( Allio et al., 2020) and uses these annotations to select the final mitochondrial contig and to ensure the general quality of the sequence.
** Assembly curation **
The assembly was decontaminated using the Assembly Screen for Cobionts and Contaminants (ASCC) pipeline. Flat files and maps used in curation were generated via the TreeVal pipeline ( Pointon et al., 2023). Manual curation was conducted primarily in PretextView ( Harry, 2022) and HiGlass ( Kerpedjiev et al., 2018), with additional insights provided by JBrowse2 ( Diesh et al., 2023). Scaffolds were visually inspected and corrected as described by Howe et al. (2021). Any identified contamination, missed joins, and mis-joins were amended, and duplicate sequences were tagged and removed. The curation process is documented at https://gitlab.com/wtsi-grit/rapid-curation.
** Assembly quality assessment **
The Merqury.FK tool ( Rhie et al., 2020), run in a Singularity container ( Kurtzer et al., 2017), was used to evaluate k-mer completeness and assembly quality for the primary and alternate haplotypes using the k-mer databases ( k = 31) computed prior to genome assembly. The analysis outputs included assembly QV scores and completeness statistics.
The genome was analysed in the blobtoolkit pipeline, a Nextflow ( Di Tommaso et al., 2017) port of the previous Snakemake Blobtoolkit pipeline ( Challis et al., 2020). It aligns the PacBio reads in SAMtools ( Danecek et al., 2021) and minimap2 ( Li, 2018) and generates coverage tracks for regions of fixed size. In parallel, it queries the GoaT database ( Challis et al., 2023) to identify all matching BUSCO lineages to run BUSCO ( Manni et al., 2021). For the three domain-level BUSCO lineages, the pipeline aligns the BUSCO genes to the UniProt Reference Proteomes database ( Bateman et al., 2023) with DIAMOND blastp ( Buchfink et al., 2021). The genome is also divided into chunks according to the density of the BUSCO genes from the closest taxonomic lineage, and each chunk is aligned to the UniProt Reference Proteomes database using DIAMOND blastx. Genome sequences without a hit are chunked using seqtk and aligned to the NT database with blastn ( Altschul et al., 1990). The blobtools suite combines all these outputs into a blobdir for visualisation.
The blobtoolkit pipeline was developed using nf-core tooling ( Ewels et al., 2020) and MultiQC ( Ewels et al., 2016), relying on the Conda package manager, the Bioconda initiative ( Grüning et al., 2018), the Biocontainers infrastructure ( da Veiga Leprevost et al., 2017), as well as the Docker ( Merkel, 2014) and Singularity ( Kurtzer et al., 2017) containerisation solutions.
Table 4 contains a list of relevant software tool versions and sources.
Wellcome Sanger Institute – Legal and Governance
The materials that have contributed to this genome note have been supplied by a Darwin Tree of Life Partner. The submission of materials by a Darwin Tree of Life Partner is subject to the ‘Darwin Tree of Life Project Sampling Code of Practice’, which can be found in full on the Darwin Tree of Life website here. By agreeing with and signing up to the Sampling Code of Practice, the Darwin Tree of Life Partner agrees they will meet the legal and ethical requirements and standards set out within this document in respect of all samples acquired for, and supplied to, the Darwin Tree of Life Project.
Further, the Wellcome Sanger Institute employs a process whereby due diligence is carried out proportionate to the nature of the materials themselves, and the circumstances under which they have been/are to be collected and provided for use. The purpose of this is to address and mitigate any potential legal and/or ethical implications of receipt and use of the materials as part of the research project, and to ensure that in doing so we align with best practice wherever possible. The overarching areas of consideration are:
• Ethical review of provenance and sourcing of the material
• Legality of collection, transfer and use (national and international)
Each transfer of samples is further undertaken according to a Research Collaboration Agreement or Material Transfer Agreement entered into by the Darwin Tree of Life Partner, Genome Research Limited (operating as the Wellcome Sanger Institute), and in some circumstances other Darwin Tree of Life collaborators.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 3Altschul SF Gish W Miller W : Basic Local Alignment Search Tool. J Mol Biol. 1990;215(3):403–410. 10.1016/S 0022-2836(05)80360-2 2231712 · doi ↗ · pubmed ↗
- 4Bateman A Martin MJ Orchard S : Uni Prot: the Universal Protein Knowledgebase in 2023. Nucleic Acids Res. 2023;51(D 1):D 523–D 531. 10.1093/nar/gkac 1052 36408920 PMC 9825514 · doi ↗ · pubmed ↗
- 5Bates A Clayton-Lucey I Howard C : Sanger Tree of Life HMW DNA fragmentation: diagenode Megaruptor ®3 for LI Pac Bio. protocols.io. 2023. 10.17504/protocols.io.81wgbxzq 3lpk/v 1 · doi ↗
- 6Bird Life International: Common Goldeneye Bucephala clangula - Bird Life species factsheet.2018. Reference Source
- 7British Trust for Ornithology: Goldeneye.2015. Reference Source
- 8Buchfink B Reuter K Drost HG : Sensitive protein alignments at Tree-of-Life scale using DIAMOND. Nat Methods. 2021;18(4):366–368. 10.1038/s 41592-021-01101-x 33828273 PMC 8026399 · doi ↗ · pubmed ↗