Skip to main content
microPublication Biology logoLink to microPublication Biology
. 2026 Sep 29;2026:10.17912/micropub.biology.002347. doi: 10.17912/micropub.biology.002347

Gene model for the ortholog of snu in Drosophila funebris

Braiden S McAlpin 1, Pablo Chialvo 1, Clare Scott Chialvo 1,§
Reviewed by: Anonymous, Brandon Turner, Cedric Aumont
PMCID: PMC13675789  PMID: 42892905

Abstract

We developed a gene model for the ortholog of the Drosophila melanogaster gene snustorr ( snu ) in the ASM1890182v1 Genome Assembly (GenBank Accession: GCA_018901825.1 ) of Drosophila funebris . This ortholog was characterized as part of a developing dataset for a comparative study of detoxification gene family evolution in the immigrans - tripunctata radiation of the genus Drosophila using an adapted Genomics Education Partnership gene annotation protocol for Course-based Undergraduate Research Experiences.


Figure 1. Genomic neighborhood and gene model for snu ortholog in D. funebris .

(A) Synteny comparison of the genomic neighborhoods for snu in Drosophila melanogaster and Drosophila funebris . Thin underlying arrows indicate which DNA strand the target gene, snu, is located on in D. melanogaster (top) and D. funebris (bottom). The thin arrow pointing to the right indicates that snu is on the positive strand in D. melanogaster , and the thin arrow pointing to the left indicates that snu is on the negative strand in D. funebris . The wide gene arrows pointing in the same direction as snu are on the same strand relative to the thin underlying arrows, while wide gene arrows pointing in the opposite direction of snu are on the opposite strand relative to the thin underlying arrows. White gene arrows in D. funebris indicate orthology to the corresponding gene in D. melanogaster , while black gene arrows indicate non-orthology. Gene symbols given in the D. funebris gene arrows indicate the orthologous gene in D. melanogaster , while the locus identifiers are specific to D. funebris . (B) Gene Model in GEP UCSC Track Data Hub (Raney et al., 2014). The coding-regions of snu in D. funebris are displayed in the User Supplied Track (red); coding sequences (CDS) are depicted by thick rectangles and introns by thin lines with arrows indicating the direction of transcription. Subsequent evidence tracks include Spaln of D. melanogaster Proteins (purple, alignment of Ref-Seq proteins from D. melanogaster ), Coding Regions Predicted by Augustus (dark blue), GeMoMa (teal), and NSCAN PASA-EST (dark green), and RNA-Seq from mixed sex adult flies (brown; alignment of Illumina RNA-Seq reads from D. funebris – Erlenbach et al., 2023). (C) Dot Plot of snu-PA in D. melanogaster ( x -axis) vs. the orthologous peptide in D. funebris ( y -axis). Amino acid number is indicated along the left and bottom; CDS number is indicated along the top and right, and CDSs are also highlighted with alternating colors. Line breaks in the dot plot indicate areas of with low sequence identity between species.

graphic file with name 25789430-2026-micropub.biology.002347.webp

Description

Introduction

This article reports a predicted gene model generated by undergraduate work using a structured gene model annotation protocol defined by the Genomics Education Partnership (GEP; thegep.org) for Course-based Undergraduate Research Experience (CURE). The following information in quotes may be repeated in other articles submitted by participants using the same GEP CURE protocol for annotating Drosophila species orthologs of Drosophila melanogaster detoxification genes.

“Within insects, detoxifying xenobiotics and host secondary metabolites is a three-phase process that involves functionalization, conjugation, and excretion of these compounds. Expansions of known detoxification gene families ( e.g. , cytochrome P450s) are associated with diet breadth and insecticide resistance (Ranson et al., 2002; Després et al., 2007; Rane et al., 2016). With the increasing availability of high-quality genomes for non-model organisms, including Drosophila species beyond D. melanogaster , it is now possible to perform large scale comparative studies (Robinson et al., 2011; Kim et al., 2021; Threfall and Baxter, 2021). Careful manual annotation and curation of gene models can improve upon computational gene predictions in non-model species, which aids the accuracy of studies on gene and genome evolution (Mudge and Harrow, 2016; Tello-Ruiz et al., 2019). To aid in these annotations, the Genomics Education Partnership (thegep.org) developed a curriculum involving web-based tools that allow undergraduates to engage in authentic course-based research focused on manually annotating genes in non-model species (Rele et al., 2023). The orthologous gene models, including the one presented here, then provide a reliable basis for further evolutionary genomic analyses when made available to the scientific community. The gene ortholog described here in D. funebris for snustorr ( snu ), a member of the ABC transporter gene family, was characterized as part of a developing dataset for a comparative study of detoxification gene families in the immigrans - tripunctata radiation of the genus Drosophila .” (Williams et al., 2026)

“ Drosophila funebris (Fabricius, 1787) is a member of the funebris species group, which occurs in the immigrans-tripunctata radiation of the Drosophila subgenus (Bächli, 2005; ICZN, 2010). It is also the type species of the genus Drosophila . This species is a globally distributed human commensal (Grimaldi, 2022). While D. funebris feeds on shelf fungi and fruit (Kimura et al., 1977; Prigent et al., 2003), it does not tolerate the mushroom toxin α-amanitin (Stump et al., 2011; Erlenbach et al., 2023).” (McDonald et al., 2026).

"ATP-binding cassette (ABC) transporters constitute one of the largest protein superfamilies across all domains of life, functioning as primary-active transporters that use the energy of ATP hydrolysis to move a broad range of substrates across lipid membranes (Higgins, 1992; Dean et al., 2001). In the context of xenobiotic metabolism, ABC transporters mediate phase III detoxification by excreting toxins along with phase I and phase II metabolites out of cells. Their overexpression is a recurrent mechanism of insecticide and multidrug resistance in insects (Merzendorfer, 2014; Dermauw and Van Leeuwen, 2014)." (Dieterle et al., 2026)

snustorr ( snu ) is a member of the ABCH ATP-binding cassette transporter subfamily of ABC transporters. It is required for cuticle development and localizes to the apical plasma membrane and cytoplasmic vesicles, consistent with a role in exporting lipids to build the epidermal barrier (Zuber et al., 2018; Wang et al., 2020). Because the cuticular barrier is the insect's first defense against xenobiotic penetration, snu is considered part of the "Phase 0" detoxification program (Gao et al., 2022). Transcripts are enriched in the embryonic tracheal system and epidermis (Öztürk-Çolak et al., 2024).

We propose a gene model for the D. funebris ortholog of the D. melanogaster snustorr ( snu ) gene. The genomic region of the ortholog corresponds to the GeMoMa FBtr0085308_R0 gene prediction in the ASM1890182v1 Genome Assembly of D. funebris ( GCA_018901825.1 – Kim et al, 2021). This model is based on mixed sex, adult RNA-Seq data from D. funebris (Erlenbach et al., 2023; https://doi.org/10.5061/dryad.hdr7sqvq2) and snu in D. melanogaster using FlyBase release FB2024_02 ( GCA_000001215.4 ; Öztürk-Çolak et al., 2024).

Synteny

The reference gene, snu, occurs on chromosome 3R in D. melanogaster and is flanked upstream by huntingtin ( htt ) and Allatostatin A receptor 2 ( AstA-R2 ) and downstream by Stress induced DNase ( Sid ) and CG33346 . The tblastn search of D. melanogaster snu-PA (query) against the D. funebris (GenBank Accession: GCA_018901825.1 ) Genome Assembly (subject) placed the putative ortholog of snu within contig_683 ( JAEIFK010000678 ) which corresponds to GeMoMa gene prediction FBtr0085308_R0 (E-value: 0; percent identity: 92.53% as determined by blastp ). The putative ortholog is flanked downstream by FBtr0083949_R0, FBtr0083907_R0, and FBtr0083950_R0 (nested) which correspond to mitochondrial transcription factor A ( TFAM ), CG5191 , and CG10877 in D. melanogaster (E-value: 7e-142, 0, 0; identity: 69.42%, 96.97%, 70.79% respectively, as determined by blastp ; Figure 1A ; Altschul et al., 1990). The putative ortholog of snu is flanked upstream by FBtr0085310_R0 and FBtr0085316_R0, which correspond to htt and AstA-R2 in D. melanogaster (E-value: 0 and 6e-179; identity:66.34% and 70.95%, respectively, as determined by blastp ). The putative ortholog assignment for snu in D. funebris is supported by the following evidence: the tblastn results are of good quality, and all coding sequences (CDS) and isoforms found in D. melanogaster also appear to be present in D. funebris. Though the gene predictions immediately downstream of the putative snu ortholog are not conserved, they do appear in the same order and orientation much further downstream in D. melanogaster . Conversely, the upstream genetic neighborhood of the putative ortholog is conserved. As such, we conclude that FBtr0085308_R0 is an ortholog of snu in D. funebris ( Figure 1A ).

Protein Model

snu in D. funebris has ten CDS within the genomic sequence. All six isoforms (PA-PE, Figure 1B ) are translated from unique messenger RNAs. Relative to the ortholog in D. melanogaster , the CDS number and protein isoform count are conserved. The sequence of snu-PA in D. funebris has 92.5% identity (96.1% similarity) with the protein-coding isoform snu-PA in D. melanogaster , as determined by blastp ( Figure 1C ). Coordinates of this curated gene model are archived in the CaltechDATA repository (see “Extended Data” section below).

Methods

The annotation methods used in this project are adapted from those described in Rele et al. (2023), which includes algorithms, database versions, and citations for the complete annotation process developed for the Pathways Project. The methods for the current project are detailed in brief below with notes on significant differences between this protocol and the one described in Rele et al. (2023). The students use the GEP instance of the UCSC Genome Browser v.435 (https://gander.wustl.edu ; Kent et al., 2002; Raney et al., 2024) to examine the genomic neighborhood of their reference detoxification gene in the D. melanogaster genome assembly (Aug. 2014; BDGP Release 6 + ISO1 MT/dm6). Students obtain the protein sequence for the D. melanogaster target gene for a given isoform and use a tblastn search of the sequence against their target Drosophila species genome assembly ( D. funebris ( GCA_018901825.1 – Kim et al, 2021)) on the NCBI BLAST server (https://blast.ncbi.nlm.nih.gov/Blast.cgi, Altschul et al., 1990) to identify the putative ortholog location. Students compare the genomic neighborhood of the putative ortholog to that of the reference gene in D. melanogaster . This local synteny analysis includes a minimum of two upstream and two downstream genes relative to the potential ortholog. As no RefSeq protein data is available for these species, comparisons are based on gene predictions that correlate with gene expression data in the putative ortholog neighborhood. Using the multiple alignment tracks feature in the Genome Browser, students examine other sets of genomic evidence, including Spaln alignment of D. melanogaster proteins, multiple gene prediction tracks (e.g., GeMoMa, Augustus, NSCAN PASA-EST), and mixed sex RNA-Seq adult expression data from the target species generated by Erlenbach et al. (2023; https://doi.org/10.5061/dryad.hdr7sqvq2). Information on the genomic structure information (e.g., CDSs, intron-exon number, number of isoforms) for the reference gene in D. melanogaster is retrieved using Gene Record Finder (https://gander.wustl.edu/~wilson/dmelgenerecord/index.html; Rele et al ., 2023). To determine approximate splice sites within the target gene, a tblastn search using the CDSs from the D. melanogaste r reference gene against the putative ortholog location (10kb up- and downstream of the target gene prediction). Coordinates of the CDS(s) are refined by examining aligned RNA-Seq data, identifying canonical splice site sequences, and ensuring the maintenance of an open reading frame. Students confirm the biological validity of their target gene model using the FlySeq Gene Model Checker (https://gander2.wustl.edu/~wilson/genechecker-flyseq/), which compares the hypothesized target gene model's structure and translated sequence against the D. melanogaster reference gene. At least two independent models for this gene are generated. These models are reconciled by a third independent researcher to produce the final model presented here. Note: comparison of 5' and 3' UTR sequence information is not included in this GEP CURE protocol.

Acknowledgments

We would like to thank Wilson Leung for developing and maintaining the technological infrastructure that was used to create this gene model and Laura K. Reed for overseeing the Genomics Education Partnership. Thank you to FlyBase for providing the definitive database for Drosophila melanogaster gene models.

Funding Statement

This gene annotation project was funded by Nation Science Foundation grants DEB-1737869 (PI LKR, CoPI CSC) and DBI-2217912 (PI CSC). The Genomics Education Partnership (GEP; https://thegep.org/ ), which supports this project, is funded by the National Science Foundation (1915544; PI LKR) and the National Institute of General Medical Sciences of the National Institutes of Health (R25GM130517; PI LKR). Any opinions, findings, and conclusions or recommendations expressed in this material are solely those of the author(s) and do not necessarily reflect the official views of the National Science Foundation nor the National Institutes of Health.

Extended Data

Description: Zipped archive containing FASTA, PEP, and GFF of snu model in D. funebris. Resource Type: Model. DOI: https://doi.org/10.22002/tqrd0-6z073

References

  1. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990 Oct 5;215(3):403–410. doi: 10.1016/S0022-2836(05)80360-2. [DOI] [PubMed] [Google Scholar]
  2. Bächli, G. (2005) Taxodros: The database on taxonomy of Drosophilidae, version February 2026, last accessed 28 May 2026. https://taxodros.uzh.ch/
  3. Dean M, Rzhetsky A, Allikmets R. The human ATP-binding cassette (ABC) transporter superfamily. Genome Res. 2001 Jul 1;11(7):1156–1166. doi: 10.1101/gr.184901. [DOI] [PubMed] [Google Scholar]
  4. Dermauw W, Van Leeuwen T. The ABC gene family in arthropods: comparative genomics and role in insecticide transport and resistance. Insect Biochem Mol Biol. 2013 Nov 28;45:89–110. doi: 10.1016/j.ibmb.2013.11.001. [DOI] [PubMed] [Google Scholar]
  5. Després L, David JP, Gallet C. The evolutionary ecology of insect resistance to plant chemicals. Trends Ecol Evol. 2007 Feb 26;22(6):298–307. doi: 10.1016/j.tree.2007.02.010. [DOI] [PubMed] [Google Scholar]
  6. Dieterle Summer, Chialvo Pablo, Scott Chialvo Clare. Gene model for the ortholog of ABCB7 in Drosophila funebris. 2026 doi: 10.17912/micropub.biology.002346. [DOI] [PMC free article] [PubMed]
  7. Drosophila 12 Genomes Consortium. Clark AG, Eisen MB, Smith DR, Bergman CM, Oliver B, Markow TA, Kaufman TC, Kellis M, Gelbart W, Iyer VN, Pollard DA, Sackton TB, Larracuente AM, Singh ND, Abad JP, Abt DN, Adryan B, Aguade M, Akashi H, Anderson WW, Aquadro CF, Ardell DH, Arguello R, Artieri CG, Barbash DA, Barker D, Barsanti P, Batterham P, Batzoglou S, Begun D, Bhutkar A, Blanco E, Bosak SA, Bradley RK, Brand AD, Brent MR, Brooks AN, Brown RH, Butlin RK, Caggese C, Calvi BR, Bernardo de Carvalho A, Caspi A, Castrezana S, Celniker SE, Chang JL, Chapple C, Chatterji S, Chinwalla A, Civetta A, Clifton SW, Comeron JM, Costello JC, Coyne JA, Daub J, David RG, Delcher AL, Delehaunty K, Do CB, Ebling H, Edwards K, Eickbush T, Evans JD, Filipski A, Findeiss S, Freyhult E, Fulton L, Fulton R, Garcia AC, Gardiner A, Garfield DA, Garvin BE, Gibson G, Gilbert D, Gnerre S, Godfrey J, Good R, Gotea V, Gravely B, Greenberg AJ, Griffiths-Jones S, Gross S, Guigo R, Gustafson EA, Haerty W, Hahn MW, Halligan DL, Halpern AL, Halter GM, Han MV, Heger A, Hillier L, Hinrichs AS, Holmes I, Hoskins RA, Hubisz MJ, Hultmark D, Huntley MA, Jaffe DB, Jagadeeshan S, Jeck WR, Johnson J, Jones CD, Jordan WC, Karpen GH, Kataoka E, Keightley PD, Kheradpour P, Kirkness EF, Koerich LB, Kristiansen K, Kudrna D, Kulathinal RJ, Kumar S, Kwok R, Lander E, Langley CH, Lapoint R, Lazzaro BP, Lee SJ, Levesque L, Li R, Lin CF, Lin MF, Lindblad-Toh K, Llopart A, Long M, Low L, Lozovsky E, Lu J, Luo M, Machado CA, Makalowski W, Marzo M, Matsuda M, Matzkin L, McAllister B, McBride CS, McKernan B, McKernan K, Mendez-Lago M, Minx P, Mollenhauer MU, Montooth K, Mount SM, Mu X, Myers E, Negre B, Newfeld S, Nielsen R, Noor MA, O'Grady P, Pachter L, Papaceit M, Parisi MJ, Parisi M, Parts L, Pedersen JS, Pesole G, Phillippy AM, Ponting CP, Pop M, Porcelli D, Powell JR, Prohaska S, Pruitt K, Puig M, Quesneville H, Ram KR, Rand D, Rasmussen MD, Reed LK, Reenan R, Reily A, Remington KA, Rieger TT, Ritchie MG, Robin C, Rogers YH, Rohde C, Rozas J, Rubenfield MJ, Ruiz A, Russo S, Salzberg SL, Sanchez-Gracia A, Saranga DJ, Sato H, Schaeffer SW, Schatz MC, Schlenke T, Schwartz R, Segarra C, Singh RS, Sirot L, Sirota M, Sisneros NB, Smith CD, Smith TF, Spieth J, Stage DE, Stark A, Stephan W, Strausberg RL, Strempel S, Sturgill D, Sutton G, Sutton GG, Tao W, Teichmann S, Tobari YN, Tomimura Y, Tsolas JM, Valente VL, Venter E, Venter JC, Vicario S, Vieira FG, Vilella AJ, Villasante A, Walenz B, Wang J, Wasserman M, Watts T, Wilson D, Wilson RK, Wing RA, Wolfner MF, Wong A, Wong GK, Wu CI, Wu G, Yamamoto D, Yang HP, Yang SP, Yorke JA, Yoshida K, Zdobnov E, Zhang P, Zhang Y, Zimin AV, Baldwin J, Abdouelleil A, Abdulkadir J, Abebe A, Abera B, Abreu J, Acer SC, Aftuck L, Alexander A, An P, Anderson E, Anderson S, Arachi H, Azer M, Bachantsang P, Barry A, Bayul T, Berlin A, Bessette D, Bloom T, Blye J, Boguslavskiy L, Bonnet C, Boukhgalter B, Bourzgui I, Brown A, Cahill P, Channer S, Cheshatsang Y, Chuda L, Citroen M, Collymore A, Cooke P, Costello M, D'Aco K, Daza R, De Haan G, DeGray S, DeMaso C, Dhargay N, Dooley K, Dooley E, Doricent M, Dorje P, Dorjee K, Dupes A, Elong R, Falk J, Farina A, Faro S, Ferguson D, Fisher S, Foley CD, Franke A, Friedrich D, Gadbois L, Gearin G, Gearin CR, Giannoukos G, Goode T, Graham J, Grandbois E, Grewal S, Gyaltsen K, Hafez N, Hagos B, Hall J, Henson C, Hollinger A, Honan T, Huard MD, Hughes L, Hurhula B, Husby ME, Kamat A, Kanga B, Kashin S, Khazanovich D, Kisner P, Lance K, Lara M, Lee W, Lennon N, Letendre F, LeVine R, Lipovsky A, Liu X, Liu J, Liu S, Lokyitsang T, Lokyitsang Y, Lubonja R, Lui A, MacDonald P, Magnisalis V, Maru K, Matthews C, McCusker W, McDonough S, Mehta T, Meldrim J, Meneus L, Mihai O, Mihalev A, Mihova T, Mittelman R, Mlenga V, Montmayeur A, Mulrain L, Navidi A, Naylor J, Negash T, Nguyen T, Nguyen N, Nicol R, Norbu C, Norbu N, Novod N, O'Neill B, Osman S, Markiewicz E, Oyono OL, Patti C, Phunkhang P, Pierre F, Priest M, Raghuraman S, Rege F, Reyes R, Rise C, Rogov P, Ross K, Ryan E, Settipalli S, Shea T, Sherpa N, Shi L, Shih D, Sparrow T, Spaulding J, Stalker J, Stange-Thomann N, Stavropoulos S, Stone C, Strader C, Tesfaye S, Thomson T, Thoulutsang Y, Thoulutsang D, Topham K, Topping I, Tsamla T, Vassiliev H, Vo A, Wangchuk T, Wangdi T, Weiand M, Wilkinson J, Wilson A, Yadav S, Young G, Yu Q, Zembek L, Zhong D, Zimmer A, Zwirko Z, Jaffe DB, Alvarez P, Brockman W, Butler J, Chin C, Gnerre S, Grabherr M, Kleber M, Mauceli E, MacCallum I. Evolution of genes and genomes on the Drosophila phylogeny. Nature. 2007 Nov 8;450(7167):203–218. doi: 10.1038/nature06341. [DOI] [PubMed] [Google Scholar]
  8. Erlenbach T, Haynes L, Fish O, Beveridge J, Giambrone SA, Reed LK, Dyer KA, Scott Chialvo CH. Investigating the phylogenetic history of toxin tolerance in mushroom-feeding Drosophila. Ecol Evol. 2023 Dec 13;13(12):e10736–e10736. doi: 10.1002/ece3.10736. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Fabricius Johann Christian, Metcalf Collection (North Carolina State University). Tippmann Collection (North Carolina State University). Mantissa insectorum sistens eorum species nuper detectas adiectis characteribus genericis, differentiis specificis, emendationibus, observationibus, Ioh. Christ. Fabricii. 1787 doi: 10.5962/bhl.title.36471. [DOI]
  10. Gao L, Zang X, Qiao H, Moussian B, Wang Y. Xenobiotic responses of Drosophila melanogaster to insecticides with different modes of action and entry. Arch Insect Biochem Physiol. 2022 Aug 8;111(4):e21958–e21958. doi: 10.1002/arch.21958. [DOI] [PubMed] [Google Scholar]
  11. Grimaldi David A. The Drosophila funebris Species Group in North America (Diptera: Drosophilidae) American Museum Novitates. 2022 Apr 7;2022(3988) doi: 10.1206/3988.1. [DOI] [Google Scholar]
  12. Higgins CF. ABC transporters: from microorganisms to man. Annu Rev Cell Biol. 1992;8:67–113. doi: 10.1146/annurev.cb.08.110192.000435. [DOI] [PubMed] [Google Scholar]
  13. ICZN. (2010) Opinion 2245 (Case 3407): Drosophila Fallén, 1823 (Insecta, Diptera): Drosophila funebris Fabricius, 1787 is maintained as the type species. The Bulletin of Zoological Nomenclature 67(1), 106-115.
  14. Kent WJ, Sugnet CW, Furey TS, Roskin KM, Pringle TH, Zahler AM, Haussler D. The human genome browser at UCSC. Genome Res. 2002 Jun 1;12(6):996–1006. doi: 10.1101/gr.229102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Kim BY, Wang JR, Miller DE, Barmina O, Delaney E, Thompson A, Comeault AA, Peede D, D'Agostino ERR, Pelaez J, Aguilar JM, Haji D, Matsunaga T, Armstrong EE, Zych M, Ogawa Y, Stamenković-Radak M, Jelić M, Veselinović MS, Tanasković M, Erić P, Gao JJ, Katoh TK, Toda MJ, Watabe H, Watada M, Davis JS, Moyle LC, Manoli G, Bertolini E, Košťál V, Hawley RS, Takahashi A, Jones CD, Price DK, Whiteman N, Kopp A, Matute DR, Petrov DA. Highly contiguous assemblies of 101 drosophilid genomes. Elife. 2021 Jul 19;10 doi: 10.7554/eLife.66405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Kimura M, Toda M, Beppu K, Watabe H. (1977) Breeding sites of Drosophilid flies in and near Sapporo northern Japan, with supplementary notes on adult feeding habits. Japanese Journal of Entomology 45: 571-582.
  17. McDonald M, Chialvo P, Scott Chialvo C. 2026. Gene model for the ortholog of PGRP-SB1 in Drosophila funebris . microPublication Biology. 10.17912/micropub.biology.002270. [DOI] [PMC free article] [PubMed]
  18. Merzendorfer Hans. ABC Transporters and Their Role in Protecting Insects from Pesticides and Their Metabolites. Advances in Insect Physiology. 2014:1–72. doi: 10.1016/b978-0-12-417010-0.00001-x. [DOI]
  19. Mudge JM, Harrow J. The state of play in higher eukaryote gene annotation. Nat Rev Genet. 2016 Oct 24;17(12):758–772. doi: 10.1038/nrg.2016.119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Öztürk-Çolak A, Marygold SJ, Antonazzo G, Attrill H, Goutte-Gattat D, Jenkins VK, Matthews BB, Millburn G, Dos Santos G, Tabone CJ, FlyBase Consortium FlyBase: updates to the Drosophila genes and genomes database. Genetics. 2024 Feb 1; doi: 10.1093/genetics/iyad211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Prigent Stéphane, Renard Emmanuelle, Cariou Marie-Louise. Electrophoretic Mobility of Amylase in Drosophilids Indicates Adaptation to Ecological Diversity. Genetica. 2003 Oct 1;119(2):133–145. doi: 10.1023/a:1026071317995. [DOI] [PubMed] [Google Scholar]
  22. Rane RV, Walsh TK, Pearce SL, Jermiin LS, Gordon KH, Richards S, Oakeshott JG. Are feeding preferences and insecticide resistance associated with the size of detoxifying enzyme families in insect herbivores? Curr Opin Insect Sci. 2015 Dec 29;13:70–76. doi: 10.1016/j.cois.2015.12.001. [DOI] [PubMed] [Google Scholar]
  23. Raney BJ, Barber GP, Benet-Pagès A, Casper J, Clawson H, Cline MS, Diekhans M, Fischer C, Navarro Gonzalez J, Hickey G, Hinrichs AS, Kuhn RM, Lee BT, Lee CM, Le Mercier P, Miga KH, Nassar LR, Nejad P, Paten B, Perez G, Schmelter D, Speir ML, Wick BD, Zweig AS, Haussler D, Kent WJ, Haeussler M. The UCSC Genome Browser database: 2024 update. Nucleic Acids Res. 2024 Jan 5;52(D1):D1082–D1088. doi: 10.1093/nar/gkad987. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Raney BJ, Dreszer TR, Barber GP, Clawson H, Fujita PA, Wang T, Nguyen N, Paten B, Zweig AS, Karolchik D, Kent WJ. Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome Browser. Bioinformatics. 2013 Nov 13;30(7):1003–1005. doi: 10.1093/bioinformatics/btt637. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Ranson H, Claudianos C, Ortelli F, Abgrall C, Hemingway J, Sharakhova MV, Unger MF, Collins FH, Feyereisen R. Evolution of supergene families associated with insecticide resistance. Science. 2002 Oct 4;298(5591):179–181. doi: 10.1126/science.1076781. [DOI] [PubMed] [Google Scholar]
  26. Rele CP, Sandlin KM, Leung W, Reed LK. Manual annotation of Drosophila genes: a Genomics Education Partnership protocol. F1000Res. 2023 Oct 13;11:1579–1579. doi: 10.12688/f1000research.126839.3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Robinson GE, Hackett KJ, Purcell-Miramontes M, Brown SJ, Evans JD, Goldsmith MR, Lawson D, Okamuro J, Robertson HM, Schneider DJ. Creating a buzz about insect genomes. Science. 2011 Mar 18;331(6023):1386–1386. doi: 10.1126/science.331.6023.1386. [DOI] [PubMed] [Google Scholar]
  28. Stump AD, Jablonski SE, Bouton L, Wilder JA. Distribution and mechanism of α-amanitin tolerance in mycophagous Drosophila (Diptera: Drosophilidae). Environ Entomol. 2011 Dec 1;40(6):1604–1612. doi: 10.1603/EN11136. [DOI] [PubMed] [Google Scholar]
  29. Tello-Ruiz MK, Marco CF, Hsu FM, Khangura RS, Qiao P, Sapkota S, Stitzer MC, Wasikowski R, Wu H, Zhan J, Chougule K, Barone LC, Ghiban C, Muna D, Olson AC, Wang L, Ware D, Micklos DA. Double triage to identify poorly annotated genes in maize: The missing link in community curation. PLoS One. 2019 Oct 28;14(10):e0224086–e0224086. doi: 10.1371/journal.pone.0224086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Threlfall J, Blaxter M. Launching the Tree of Life Gateway. Wellcome Open Res. 2021 May 21;6:125–125. doi: 10.12688/wellcomeopenres.16913.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Wang Y, Norum M, Oehl K, Yang Y, Zuber R, Yang J, Farine JP, Gehring N, Flötenmeyer M, Ferveur JF, Moussian B. Dysfunction of Oskyddad causes Harlequin-type ichthyosis-like defects in Drosophila melanogaster. PLoS Genet. 2020 Jan 13;16(1):e1008363–e1008363. doi: 10.1371/journal.pgen.1008363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Williams E, Chialvo P, Scott Chialvo C. Gene model for the ortholog of GstO3 in Drosophila dunni. MicroPubl Biol. 2026 May 27;2026 doi: 10.17912/micropub.biology.002110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Zuber R, Norum M, Wang Y, Oehl K, Gehring N, Accardi D, Bartozsewski S, Berger J, Flötenmeyer M, Moussian B. The ABC transporter Snu and the extracellular protein Snsl cooperate in the formation of the lipid-based inward and outward barrier in the skin of Drosophila. Eur J Cell Biol. 2017 Dec 27;97(2):90–101. doi: 10.1016/j.ejcb.2017.12.003. [DOI] [PubMed] [Google Scholar]

Associated Data

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

Data Availability Statement

Description: Zipped archive containing FASTA, PEP, and GFF of snu model in D. funebris. Resource Type: Model. DOI: https://doi.org/10.22002/tqrd0-6z073


Articles from microPublication Biology are provided here courtesy of California Institute of Technology

RESOURCES