<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="other" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.145788.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Genome Note</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Genomic and transcriptomic resources for the brown thornbill (
                    <italic>Acanthiza pusilla) </italic>to support the conservation of a critically endangered subspecies</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Silver</surname>
                        <given-names>Luke W.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1718-5756</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Crates</surname>
                        <given-names>Ross</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Stojanovic</surname>
                        <given-names>Dejan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Young</surname>
                        <given-names>Catherine M.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Belov</surname>
                        <given-names>Katherine</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Farquharson</surname>
                        <given-names>Katherine A.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-9009-7453</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Heinsohn</surname>
                        <given-names>Rob</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hogg</surname>
                        <given-names>Carolyn J.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6328-398X</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, 2006, Australia</aff>
                <aff id="a2">
                    <label>2</label>Fenner School of Environment and Society, Australian National University, Acton, Australian Capital Territory, 2601, Australia</aff>
                <aff id="a3">
                    <label>3</label>The University of Sydney, Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, Sydnery, New South Wales, 2006, Australia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:luke.silver@sydney.edu.au">luke.silver@sydney.edu.au</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>23</day>
                <month>4</month>
                <year>2024</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2024</year>
            </pub-date>
            <volume>13</volume>
            <elocation-id>337</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>22</day>
                    <month>3</month>
                    <year>2024</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Silver LW et al.</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/13-337/pdf"/>
            <abstract>
                <title>Abstract*</title>
                <p>The brown thornbill (
                    <italic toggle="yes">Acanthiza pusilla</italic>) is a songbird endemic to eastern Australia with five recognised subspecies within the brown thornbill. The most notable is the King Island brown thornbill (
                    <italic toggle="yes">Acanthiza pusilla magnirostris</italic>) of which there are less than 100 remaining and based on expert elicitation are the most likely Australian bird to become extinct in the next 20 years. We sequenced PacBio HiFi reads of the brown thornbill to generate a high-quality reference genome 1.25Gb in size and contig N50 of 20.1Mb. Additionally, we sequenced mRNA from three tissues to generate a global transcriptome to aid with genome annotation. The generation of a reference genome for the brown thornbill provides an important resource to align additional genomic data which will be produced in the near future.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Genome assembly</kwd>
                <kwd>reference genome</kwd>
                <kwd>transcriptome</kwd>
                <kwd>Aves</kwd>
                <kwd>mitogenome</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>NCRIS funded BioPlatforms Threatened Species Initiative</funding-source>
                </award-group>
                <award-group id="fund-2">
                    <funding-source>Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science</funding-source>
                    <award-id>CE200100012</award-id>
                </award-group>
                <funding-statement>Sequencing received in-kind support from the NCRIS funded BioPlatforms Threatened Species Initiative KAF is supported by the Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science (CE200100012). LWS is supported by the Australian BioCommons which is enabled by NCRIS via Bioplatforms Australia and the University of Sydney.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>The brown thornbill (
                <italic toggle="yes">Acanthiza pusilla</italic>) is a small species of songbird within the Acanthizidae family endemic to eastern and south-eastern Australia, including Tasmania (
                <xref ref-type="bibr" rid="ref11">Higgins &amp; Peter, 2002</xref>). There are five subspecies recognised within the brown thornbill including the Critically Endangered King Island brown thornbill (
                <italic toggle="yes">Acanthiza pusilla magnirostris</italic>). This taxon is considered the most likely Australian bird to become extinct within the next 20 years, based on expert elicitation (
                <xref ref-type="bibr" rid="ref9">Geyle et al., 2018</xref>). Whilst the nominate brown thornbill is of least conservation concern, there are thought to be fewer than 100 King Island brown thornbills occurring on King Island (area 1098 km
                <sup>2</sup>), in the Bass Strait (
                <xref ref-type="bibr" rid="ref3">Bell, Webb, Holdsworth, &amp; Baker, 2023</xref>). Whilst surveys are ongoing, the King Island brown thornbill is understood to be restricted to patches of mature eucalypt forest on King Island, where it primarily forages in the canopy and in the crevices of bark on tree trunks (
                <xref ref-type="bibr" rid="ref3">Bell et al., 2023</xref>).</p>
            <p>The generation of a reference genome and associated transcriptomic data is a vital for informing genetic management of the King Island subspecies and can be used to align genetic data that will be produced in the near future. The genome is also the first for the genus 
                <italic toggle="yes">Acanthiza</italic>, contributing to global efforts to sequence life on Earth (
                <xref ref-type="bibr" rid="ref14">Lewin et al., 2022</xref>).</p>
            <p>To facilitate detailed genomic research on this species, we sequenced DNA with PacBio HiFi long reads to generate a high-quality reference assembly and sequenced RNA from three tissues to provide transcriptomic resources and assist in genome annotation for the brown thornbill.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Sample collection and DNA/RNA extraction</title>
                <p>A single wild male brown thornbill (B974_KIBT) from Tasmania was captured using a mist net and euthanised for genome and transcriptome generation under Australian National University Animal Experimental Ethics Committee program of wildlife authorisation approval number #A2021/33 (approval date (13/07/2021) and Tasmanian Scientific Permit #TFA23010. Every effort was made to reduce suffering of animals, including (i) collecting the minimum number of animals required for the study (one); (ii) pre-arranging animal euthanasia with a qualified veterinarian; (iii) collection of the animal from as close to the location of the veterinarian as practically possible to minimise transportation time; and (iv) transportation in a soft, dark material &#x2018;bird bag&#x2019; to minimise stress during transportation. Tissue samples were dissected and flash frozen at -80&#x00b0;C or preserved in RNA later before being frozen at -80&#x00b0;C. High molecular weight (HMW) DNA was then extracted from kidney tissue using the Nanobind Tissue Big DNA Kit v1.0 (Circulomics). A Qubit fluorometer was used to assess the concentration of DNA with the Qubit dsDNA BR assay kit (Thermo Fisher Scientific). Total RNA was extracted from liver, brain and gonads using the RNeasy Tissue Kit (Qiagen) with RNAse-free DNAse I set (Qiagen). RNA quality was determined using the NanoDrop (Thermo Fisher Scientific) and RNA integrity (RIN) score determined using the Bioanalyzer RNA nano 6000 kit (Agilent 2100).</p>
            </sec>
            <sec id="sec4">
                <title>Library construction and sequencing</title>
                <p>HMW DNA was sent for Pacific Biosciences High Fidelity (PacBio HiFi) library preparation with the SMRTbell Express Template Prep Kit 2.0 (Pacific Biosciences) and sequencing on one single molecule real-time (SMRT) cell of the PacBio Revio machine at the Australian Genome Research Facility (St Lucia, Australia). Total RNA from the liver, brain and gonads was sequenced as 150 bp paired-end (PE) reads using an Illumina Novaseq X with Illumina Stranded mRNA library preparation at the Ramaciotti Centre for Genomics (University of New South Wales, Kensington, Australia).</p>
            </sec>
            <sec id="sec5">
                <title>Genome assembly</title>
                <p>The genome assembly was conducted on Galaxy Australia (
                    <xref ref-type="bibr" rid="ref24">The Galaxy Community, 2022</xref>) public server 
                    <ext-link ext-link-type="uri" xlink:href="http://usegalaxy.org.au">usegalaxy.org.au</ext-link> (
                    <xref ref-type="bibr" rid="ref1">Afgan et al., 2016</xref>) running the Genome assembly with &#x2018;hifiasm&#x2019; (RRID:SCR_021069) on Galaxy Australia workflow v2.1 (
                    <xref ref-type="bibr" rid="ref18">Price &amp; Farquharson, 2022</xref>). Briefly, Picard (http://broad institute.github.io/picard) (Galaxy version 2.18.2.2; RRID:SCR_006525) 
                    <italic toggle="yes">SamToFastq</italic>, samtools (
                    <xref ref-type="bibr" rid="ref7">Danecek et al., 2021</xref>; 
                    <xref ref-type="bibr" rid="ref15">Li et al., 2009</xref>) (Galaxy version 2.0.3; RRID:SCR_002105) 
                    <italic toggle="yes">flagstat</italic> and fastQC (
                    <ext-link ext-link-type="uri" xlink:href="https://www.bioinformatics.babraham.ac.uk/projects/fastqc">https://www.bioinformatics.babraham.ac.uk/projects/fastqc</ext-link>) (Galaxy version 0.72; RRID:SCR_014583) was used to convert BAM files to FASTQ and quality check the reads for input to Hifiasm (
                    <xref ref-type="bibr" rid="ref5">Cheng, Concepcion, Feng, Zhang, &amp; Li, 2021</xref>; 
                    <xref ref-type="bibr" rid="ref6">Cheng et al., 2022</xref>). Hifiasm (Galaxy version 2.1) was run on Galaxy Australia to assembly the genome. Basic genome assembly statistics were calculated using the stats.sh script in BBMap v37.98 (
                    <ext-link ext-link-type="uri" xlink:href="http://sourceforge.net/projects/bbmap">sourceforge.net/projects/bbmap</ext-link>/) (RRID:SCR_016965). Genome completeness was determined using Benchmarking Universal Single-Copy Orthologues (BUSCO; RRID:SCR_015008) v5.4.6 (
                    <xref ref-type="bibr" rid="ref21">Simao, Waterhouse, Ioannidis, Kriventseva, &amp; Zdobnov, 2015</xref>) with both the vertebrata_odb10 (n = 3354) and aves_odb10 (n= 8338) lineages on Galaxy Australia. Genome completeness and base accuracy was also determined Merqury v1.3 (RRID:SCR_022964) (
                    <xref ref-type="bibr" rid="ref19">Rhie, Walenz, Koren, &amp; Phillippy, 2020</xref>), implemented in the Genome assessment post assembly workflow on Galaxy Australia (
                    <xref ref-type="bibr" rid="ref17">Price, 2023</xref>). Repetitive elements of the genome were identified, classified and masked on a Pawsey Supercomputing Centre Nimbus cloud machine (256GB RAM, 64 vCPU, 3 TB storage) by building a database using RepeatModeler v2.0.1 (RRID:SCR_015027) (
                    <xref ref-type="bibr" rid="ref8">Flynn et al., 2020</xref>); repeats were then masked using RepeatMasker v4.0.9 (RRID:SCR_012954) (
                    <xref ref-type="bibr" rid="ref22">Smit, Hubley, &amp; Green, 2013-2015</xref>) with the 
                    <italic toggle="yes">-nolow</italic> parameter to avoid masking low complexity repeats.</p>
            </sec>
            <sec id="sec6">
                <title>Mitochondrial assembly</title>
                <p>The contig representing the mitochondrial genome was identified from the reference genome assembly using MitoHiFi v2 (
                    <xref ref-type="bibr" rid="ref2">Allio et al., 2020</xref>; 
                    <xref ref-type="bibr" rid="ref25">Uliano-Silva et al., 2023</xref>) and visualised using Proksee (
                    <xref ref-type="bibr" rid="ref10">Grant et al., 2023</xref>). MitoHiFi identified the yellow thornbill (
                    <italic toggle="yes">Acanthiza nana</italic>) as the most taxonomically closely related publicly available mitochondrial genome (KY994614.1), used to search for the brown thornbill mitochondrial genome.</p>
            </sec>
            <sec id="sec7">
                <title>Transcriptome assembly</title>
                <p>Transcriptome assembly was performed on the University of Sydney&#x2019;s High Performance Computer, Artemis. Raw transcriptome reads were quality assessed pre- and post-trimming with FastQC v0.11.8 (RRID:SCR_014583). Trimmomatic v0.39 (RRID:SCR_011848) (
                    <xref ref-type="bibr" rid="ref4">Bolger, Lohse, &amp; Usadel, 2014</xref>) with the parameters SLIDINGWINDOW:4:5, LEADING:5, TRAILING:5 and MINLEN:25 and ILLUMINACLIP:2:30:10 with the TruSeq3-PE adapters was used to quality trim reads. The repeat masked genome was indexed and trimmed reads aligned using the 
                    <italic toggle="yes">-dta</italic> parameter with hisat2 v2.1.0 (RRID:SCR_015530) (
                    <xref ref-type="bibr" rid="ref13">Kim, Paggi, Park, Bennett, &amp; Salzberg, 2019</xref>). Resulting sam files with converted to bam format and sorted using samtools v1.9 (
                    <xref ref-type="bibr" rid="ref7">Danecek et al., 2021</xref>; 
                    <xref ref-type="bibr" rid="ref15">Li et al., 2009</xref>). Stringtie v2.1.6 (RRID:SCR_016323) (
                    <xref ref-type="bibr" rid="ref16">Pertea et al., 2015</xref>) was used to generate a GTF for each transcriptome. Stringtie v2.1.6 with the 
                    <italic toggle="yes">-merge</italic> parameter merged transcripts into a global transcriptome retaining only transcripts with a fragments per kilobase of exon per million mapped fragments (FPKM) &gt; 0.1 and length &gt; 30. CPC2 v2019-11-19 (
                    <xref ref-type="bibr" rid="ref12">Kang et al., 2017</xref>) was used to predict coding potential and only transcripts predicted to be coding were retained. TransDecoder v2.0.1 (
                    <ext-link ext-link-type="uri" xlink:href="https://github.com/TransDecoder/TransDecoder">https://github.com/TransDecoder/TransDecoder</ext-link>) (RRID:SCR_017647) was used to predict open reading frames in the global transcriptome with a minimum transcript length of 20. Transcriptome completeness was assessed using BUSCO v5.4.6 (
                    <xref ref-type="bibr" rid="ref21">Simao et al., 2015</xref>) with the vertebrata_odb10 (n= 3354) and aves_odb10 (n = 8338) lineages on Galaxy Australia.</p>
            </sec>
            <sec id="sec8">
                <title>Genome annotation</title>
                <p>Genome annotation was performed using FgenesH++ v7.2.2 (Softberry; RRID:SCR_018928 (
                    <xref ref-type="bibr" rid="ref23">Solovyev, Kosarev, Seledsov, &amp; Vorobyev, 2006</xref>)) using the longest open reading frame as predicted from the global transcriptome, non-mammalian settings and optimised parameters supplied with the American crow (
                    <italic toggle="yes">Corvus brachyrhynchos</italic>) gene finding matrix. BUSCO v5.4.6 (
                    <xref ref-type="bibr" rid="ref21">Simao et al., 2015</xref>) in protein mode was run on Galaxy Australia to assess the completeness of the annotation with the vertebrata_odb10 (n = 3354) and aves_odb10 (n = 8338) lineages. The &#x2018;genestats&#x2019; script (
                    <ext-link ext-link-type="uri" xlink:href="https://github.com/darencard/GenomeAnnotation">https://github.com/darencard/GenomeAnnotation</ext-link>) was used to obtain the average number of exons and introns and the average exon and intron length.</p>
            </sec>
        </sec>
        <sec id="sec9" sec-type="results">
            <title>Results</title>
            <sec id="sec10">
                <title>Genome assembly</title>
                <p>The hifiasm assembly of the brown thornbill from PacBio HiFi data resulted in a genome 1.25Gb in size consisting of 1,000 contigs and sequenced to a depth of 43x. The longest contig in the assembly is 97.7 Mb and the assembly has an N50 of 20.1 Mb and L50 of 17 (
                    <xref ref-type="table" rid="T1">Table 1</xref>). The genome is also highly complete with 96.9% complete Aves BUSCOs present in the assembly (
                    <xref ref-type="table" rid="T1">Table 1</xref>). Merqury analysis also indicated a high-quality genome with QV &gt; 59 and 87.1% complete k-mers. The mitochondrial genome is 16,862 bp and contains 37 genes including 22 tRNAs and 13 genes and 2 rRNAs (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>). Repeat masking identified 19.06% of the genome as repeats (
                    <xref ref-type="table" rid="T2">Table 2</xref>), which is in a similar range to other bird species (
                    <xref ref-type="bibr" rid="ref26">Zhang et al., 2014</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>Genome assembly statistics of the brown thornbill (
                            <italic toggle="yes">Acanthiza pusilla</italic>).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Metric</th>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Assembly size (Gb)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.25</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Number of contigs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1000</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Contig N50 (Mb)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.13</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Contig N90 (Mb)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.19</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Contig L50</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Contig L90</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">114</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Longest contig (Mb)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">97.74</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">GC content (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.67</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Complete vertebrata_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">96.7% [Single Copy: 95.3%, Duplicated: 1.4%]</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Fragmented vertebrata_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.4%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Missing vertebrata_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.9%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Complete aves_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">96.9% [Single Copy: 96.3%, Duplicated: 0.6%]</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Fragmented aves_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.5%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Missing aves_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.6%</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Mitochondrial genome of the brown thornbill (
                            <italic toggle="yes">Acanthiza pusilla</italic>), purple sections indicate tRNAs in the mitogenome, blue arrows indicate the directionality of the genes of the mitogenome.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/159784/eccf86c6-efa1-4ea1-bb3e-48c029c1b622_figure1.gif"/>
                </fig>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>Classification of repeat elements of the brown thornbill (
                            <italic toggle="yes">Acanthiza pusilla)</italic> genome assembly.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Repeat element</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Number of elements</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Percentage of sequence</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">SINEs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2804</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.03</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">MIRs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1750</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.02</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">LINES</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">139541</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.56</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">LINE1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">725</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">L3/CR1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">138625</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.54</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">LTR elements</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55108</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.78</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">ERVL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24480</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.41</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">ERV Class I</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18549</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.51</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">ERV Class II</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9977</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">DNA elements</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12887</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.35</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">hAT</italic>-
                                    <italic toggle="yes">Charlie</italic>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">227</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Unclassified</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">118431</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.34</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total interspersed repeats</td>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.06</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Small RNA</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">490</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Satellites</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7620</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.28</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Simple repeats</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec11">
                <title>Transcriptome assembly and genome annotation</title>
                <p>All individual tissues had alignments rates greater than 85% against the repeat masked reference genome (liver: 93.52%, brain: 91.75% and gonads: 89.24%). A total of 45,082 transcripts were predicted to have coding potential and 12,549 longest open reading frame transcripts were used as input for genome annotation with FgenesH. A total of 29,706 genes were predicted by the FgenesH annotation software, with the annotation containing 73.9% complete aves_obd10 BUSCOs (
                    <xref ref-type="table" rid="T3">Table 3</xref>). There were an average number of 7.42 exons and 6.42 introns per gene (
                    <xref ref-type="table" rid="T3">Table 3</xref>).</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>Table 3. </label>
                    <caption>
                        <title>Statistics of the global transcriptome and annotation of the brown thornbill (
                            <italic toggle="yes">Acanthiza pusilla</italic>).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Metrics</th>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">
                                    <bold>Global Transcriptome</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Complete vertebrata_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">94.1% [Single Copy: 42.5%, Duplicated: 51.6%]</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Fragmented vertebrata_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.6%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Missing vertebrata_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.3%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Complete aves_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">90.6% [Single Copy: 39.5%, Duplicated: 51.1%]</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Fragmented aves_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.2%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Missing aves_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.2%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">
                                    <bold>Annotation</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Complete vertebrata_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">69.3% [Single Copy: 67.1%, Duplicated: 1.6%]</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Fragmented vertebrata_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.5%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Missing vertebrata_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.2%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Complete aves_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">73.9% [Single Copy: 73.3%, Duplicated: 0.6%]</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Fragmented aves_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.7%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Missing aves_odb10 BUSCOs</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.4%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Average number of exons per gene</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.42</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Average number of introns per gene</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.42</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Average exon length (bp)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2246.65</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Average intron length (bp)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20551.18</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <sec id="sec12">
                    <title>Ethical considerations</title>
                    <p>Birds were sampled under Australian National University Animal Experimentation Ethics Committee program of wildlife authorisation approval number #A2021/33 (approval date 13/07/2021) and Tasmanian Scientific Permit #TFA23010.</p>
                </sec>
            </sec>
        </sec>
        <sec id="sec13">
            <title>Author contribution</title>
            <p>Luke W. Silver</p>
            <p>Roles: Data curation, formal analysis, investigation, software, methodology, Writing -original draft Preparation</p>
            <p>Ross Crates</p>
            <p>Roles: Conceptualization, Funding acquisition, data collection, administration, writing-original draft</p>
            <p>Dejan Stojanovic</p>
            <p>Roles: Data collection, Writing &#x2013; Review &amp; Editing</p>
            <p>Catherine M. Young</p>
            <p>Roles: Data collection, Writing &#x2013; Review &amp; Editing</p>
            <p>Katherine Belov</p>
            <p>Roles: Conceptualization, Funding Acquisition, Supervision, Writing &#x2013; Review &amp; Editing</p>
            <p>Katherine A. Farquharson</p>
            <p>Roles: Methodology, Supervision, Writing &#x2013; Review &amp; Editing</p>
            <p>Rob Heinsohn</p>
            <p>Roles: Administration, Supervision, Writing &#x2013; Review &amp; Editing</p>
            <p>Carolyn J. Hogg</p>
            <p>Roles: Conceptualization, Funding Acquisition, Project Administration, Supervision, Writing &#x2013; Review &amp; Editing</p>
        </sec>
    </body>
    <back>
        <sec id="sec16" sec-type="data-availability">
            <title>Data availability</title>
            <p>The raw PacBio HiFi and transcriptome data are publicly available through the Bioplatforms Australia Threatened Species Initiative: 
                <ext-link ext-link-type="uri" xlink:href="https://data.bioplatforms.com/organization/threatened-species">https://data.bioplatforms.com/organization/threatened-species
</ext-link>. The assembled genome, global transcriptome and annotation generated in this study are available on Amazon Web Services Australasian Genomes Open Data Store: 
                <ext-link ext-link-type="uri" xlink:href="https://awgg-lab.github.io/australasiangenomes/genomes.html">https://awgg-lab.github.io/australasiangenomes/genomes.html</ext-link>.</p>
            <p>Raw genome and transcriptome sequences are also available from:</p>
            <p>NCBI&#x2019;s Short Read Archive (SRA): Raw RNA data for the generation of transcriptome. SRR26937195 (
                <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/biosample/38393458">https://www.ncbi.nlm.nih.gov/biosample/38393458</ext-link>) (
                <xref ref-type="bibr" rid="ref20">Silver et al., 2024</xref>)</p>
            <p>NCBI&#x2019;s Short Read Archive (SRA): Raw RNA data for the generation of transcriptome. SRR26937196 (
                <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/biosample/38393457">https://www.ncbi.nlm.nih.gov/biosample/38393457</ext-link>) (
                <xref ref-type="bibr" rid="ref20">Silver et al., 2024</xref>)</p>
            <p>NCBI&#x2019;s Short Read Archive (SRA): Raw RNA data for the generation of transcriptome. SRR26937197 (
                <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/biosample/38393456">https://www.ncbi.nlm.nih.gov/biosample/38393456</ext-link>) (
                <xref ref-type="bibr" rid="ref20">Silver et al., 2024</xref>)</p>
            <p>NCBI&#x2019;s Short Read Archive (SRA): Raw DNA data for the generation of genome. SRR26937198 (
                <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/biosample/38393455">https://www.ncbi.nlm.nih.gov/biosample/38393455</ext-link>) (
                <xref ref-type="bibr" rid="ref20">Silver et al., 2024</xref>)</p>
            <p>The data produced as part of this study are stored on NCBI under BioProject PRJNA1044448. Databases of molecular data on the NCBI Web site include such examples as nucleotide sequences (GenBank), protein sequences, macromolecular structures, molecular variation, gene expression, and mapping data. They are designed to provide and encourage access within the scientific community to sources of current and comprehensive information. Therefore, NCBI itself places no restrictions on the use or distribution of the data contained therein.</p>
            <sec id="sec17">
                <title>Extended data</title>
                <p>
Figshare: Checklist for ARRIVE.pdf for Genomic and transcriptomic resources for the brown thornbill (Acanthiza pusilla) to support the conservation of a critically endangered subspecies, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.25396282.v1">https://doi.org/10.6084/m9.figshare.25396282.v1</ext-link>
                </p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>The authors would like to thank the Tasmanian Museum and Art Gallery (TMAG) for dissection, storage and shipping of the samples used to generate the genome and transcriptomes. Computational resources were provided by the Australian FGENESH++ Service provided by the Australian BioCommons and the Pawsey Supercomputing Research Centre with funding from the Australian Government and the Government of Western Australia; Galaxy Australia, a service provided by the Australian Biocommons and its partners; and the University of Sydney&#x2019;s High Performance Computing facility Artemis provided by the Sydney Informatics Hub. The authors wish to acknowledge the use of the services and facilities of the Ramaciotti Centre for Genomics, UNSW and of the Australian Genome Research Facility.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report297997">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.159784.r297997</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Forsdick</surname>
                        <given-names>Natalie</given-names>
                    </name>
                    <xref ref-type="aff" rid="r297997a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0423-3314</uri>
                </contrib>
                <aff id="r297997a1">
                    <label>1</label>Manaaki Whenua - Landcare Research, Auckland, New Zealand</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>1</day>
                <month>8</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Forsdick N</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport297997" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.145788.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The Genome Note 'Genomic and transcriptomic resources for the brown thornbill (
                <italic>Acanthiza pusilla)&#x00a0;</italic>to support the conservation of a critically endangered subspecies' provides a clear and brief account of the genome assembly and annotation of this species, which will be used to inform subspecific conservation efforts in the future. The methods described are clear and follow regular conventions. Other than a few minor typographic suggestions (below), I have no further feedback.</p>
            <p> </p>
            <p> Introduction paragraph 2: 'is a vital [tool]'. Also, would be nice to indicate how future genetic data will be used.</p>
            <p> RNAlater is one word.</p>
            <p> 'determined [using] Merqury' - also, was Merqury assessment done using the HiFi data as input?</p>
            <p>Are the datasets clearly presented in a usable and accessible format, and the assembly and annotation available in an appropriate subject-specific repository?</p>
            <p>Yes</p>
            <p>Are sufficient details of the sequencing and extraction, software used, and materials provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Are the rationale for sequencing the genome and the species significance clearly described?</p>
            <p>Yes</p>
            <p>Are the protocols appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Genome assembly, population genomics</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
</article>
