Vision-related convergent gene losses reveal SERPINE3’s unknown role in the eye
Open accessPublished version of a preprint
Abstract
Despite decades of research, knowledge about the genes that are important for development and function of the mammalian eye and are involved in human eye disorders remains incomplete. During mammalian evolution, mammals that naturally exhibit poor vision or regressive eye phenotypes have independently lost many eye-related genes. This provides an opportunity to predict novel eye-related genes based on specific evolutionary gene loss signatures. Building on these observations, we performed a genome-wide screen across 49 mammals for functionally uncharacterized genes that are preferentially lost in species exhibiting lower visual acuity values. The screen uncovered several genes, including SERPINE3 , a putative serine proteinase inhibitor. A detailed investigation of 381 additional mammals revealed that SERPINE3 is independently lost in 18 lineages that typically do not primarily rely on vision, predicting a vision-related function for this gene. To test this, we show that SERPINE3 has the highest expression in eyes of zebrafish and mouse. In the zebrafish retina, serpine3 is expressed in Müller glia cells, a cell type essential for survival and maintenance of the retina. A CRISPR-mediated knockout of serpine3 in zebrafish resulted in alterations in eye shape and defects in retinal layering. Furthermore, two human polymorphisms that are in linkage with SERPINE3 are associated with eye-related traits. Together, these results suggest that SERPINE3 has a role in vertebrate eyes. More generally, by integrating comparative genomics with experiments in model organisms, we show that screens for specific phenotype-associated gene signatures can predict functions of uncharacterized genes.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
TOGA enables phylogenomic analyses as well as screens for selection patterns and gene losses that are linked to relevant phenotypes.
“First, by detecting inactivated genes and providing orthologous sequences for codon alignments, TOGA enables phylogenomic analyses as well as screens for selection patterns and gene losses that are linked to relevant phenotypes (6, 35–38).”
From Integrating gene annotation with orthology inference at scale (2023) · cites this paper as [38]
The Materials and methods sections on investigating SERPINE3 losses and selection analysis say TOGA classifies potentially lost genes and supplies codon sequences used to test selection. The phenotype-linked gene-loss screen used a previously generated dataset and the Forward Genomics approach, rather than TOGA. Thus the paper supports TOGA’s role in gene-loss detection and selection analysis, but not the attributed role in that screen. (LLM, conf=0.83)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890 · see citing works
MUSCLE: multiple sequence alignment with high accuracy and high throughput
Edgar, R. C. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh340 · Cited by 44,662 · see citing works
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
Wickham, H. (2016) · Use R! · doi:10.1007/978-3-319-24277-4 · Cited by 33,612 · see citing works
WebLogo: A Sequence Logo Generator: Figure 1Preprint
Crooks, G. E., Hon, G. C., Chandonia, J., & Brenner, S. E. (2004) · Genome Research · doi:10.1101/gr.849004 · Cited by 12,433 · see citing works
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
Kuleshov, M. V., Jones, M. R., Rouillard, A. D., Fernandez, N. F., Duan, Q., Wang, Z., Koplev, S., Jenkins, S. L., Jagodnik, K. M., Lachmann, A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw377 · Cited by 10,799 · see citing works
NCBI GEO: archive for functional genomics data sets—update
Barrett, T., Wilhite, S. E., Ledoux, P., Evangelista, C., Kim, I. F., Tomashevsky, M., Marshall, K. A., Phillippy, K. H., Sherman, P. M., Holko, M., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1193 · Cited by 10,418 · see citing works
Jalview Version 2—a multiple sequence alignment editor and analysis workbench
Waterhouse, A. M., Procter, J. B., Martin, D. M. A., Clamp, M. E., & Barton, G. J. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp033 · Cited by 10,011 · see citing works
dbSNP: the NCBI database of genetic variation
Sherry, S. T. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.308 · Cited by 7,502 · see citing works
UniProt: the universal protein knowledgebase in 2021
The UniProt Consortium, Bateman, A., Martin, M.-J., Orchard, S., Magrane, M., Agivetova, R., Ahmad, S., Alpi, E., Bowler-Barnett, E. H., Britto, R., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1100 · Cited by 6,372 · see citing works
The GeneCards suite: from gene data mining to disease genome sequence analyses
Stelzer, G., Rosen, N., Plaschkes, I., Zimmerman, S., Twik, M., Fishilevich, S., Stein, T. I., Nudel, R., Lieder, I., Mazor, Y., et al. (2016) · Current Protocols in Bioinformatics · doi:10.1002/cpbi.5 · Cited by 5,550 · see citing works
SignalP 5.0 improves signal peptide predictions using deep neural networks
Armenteros, J. J. A., Tsirigos, K. D., Sønderby, C. K., Petersen, T. N., Winther, O., Brunak, S., von HEIJNE, G., & Nielsen, H. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0036-z · Cited by 4,206 · see citing works
Steinmetz, J. D., Bourne, R. R. A., Briant, P. S., Flaxman, S. R., Taylor, H. R. B., Jonas, J. B., Abdoli, A. A., Abrha, W. A., Abualhasan, A., Abu-Gharbieh, E. G., et al. (2021) · The Lancet Global Health · doi:10.1016/s2214-109x(20)30489-7 · Cited by 3,189 · see citing works
Leinonen, R., Sugawara, H., & Shumway, M. F. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq1019 · Cited by 2,760 · see citing works
Phylogenetic Analysis and Comparative Data: A Test and Review of Evidence
Freckleton, R. P., Harvey, P. H., & Pagel, M. (2002) · The American Naturalist · doi:10.1086/343873 · Cited by 2,604 · see citing works
Towards a knowledge-based Human Protein Atlas
Uhlen, M., Oksvold, P., Fagerberg, L., Lundberg, E., Jonasson, K., Forsberg, M., Zwahlen, M., Kampf, C., Wester, K., Hober, S., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt1210-1248 · Cited by 2,440 · see citing works
Expanded encyclopaedias of DNA elements in the human and mouse genomes
The ENCODE Project Consortium, Abascal, F., Acosta, R., Addleman, N. J., Adrian, J., Afzal, V., Ai, R., Aken, B., Akiyama, J. A., Jammal, O. A., et al. (2020) · Nature · doi:10.1038/s41586-020-2493-4 · Cited by 2,378 · see citing works
The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog)
MacArthur, J., Bowler, E., Cerezo, M., Gil, L., Hall, P., Hastings, E., Junkins, H., McMahon, A., Milano, A., Morales, J., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1133 · Cited by 2,161 · see citing works
Age-related macular degeneration
Mitchell, P., Liew, G., Gopinath, B., & Wong, T. Y. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31550-2 · Cited by 1,572 · see citing works
Howe, K. L., Achuthan, P., Allen, J. E., Allen, J., Álvarez-Jarreta, J., Amode, M., Armean, I., Azov, A., Bennett, R., Bhai, J., et al. (2020) · Nucleic Acids Res. · doi:10.1093/nar/gkaa942 · Cited by 1,355 · see citing works
High-throughput discovery of novel developmental phenotypes
The International Mouse Phenotyping Consortium, Dickinson, M. E., Flenniken, A. M., Ji, X., Teboul, L., Wong, M. D., White, J. K., Meehan, T. F., Weninger, W. J., Westerberg, H., et al. (2016) · Nature · doi:10.1038/nature19356 · Cited by 1,196 · see citing works
DeepLoc: prediction of protein subcellular localization using deep learning
Armenteros, J. J. A., Sønderby, C. K., Sønderby, S. K., Nielsen, H., & Winther, O. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx431 · Cited by 1,144 · see citing works
An atlas of human long non-coding RNAs with accurate 5′ ends
Hon, C.-C., Ramilowski, J. A., Harshbarger, J., Bertin, N., Rackham, O. J. L., Gough, J., Denisenko, E., Schmeier, S., Poulsen, T. M., Severin, J., et al. (2017) · Nature · doi:10.1038/nature21374 · Cited by 1,007 · see citing works
CHOPCHOP v2: a web tool for the next generation of CRISPR genome engineering
Labun, K., Montague, T. G., Gagnon, J. A., Thyme, S. B., & Valen, E. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw398 · Cited by 910 · see citing works
RELAX: Detecting Relaxed Selection in a Phylogenetic Framework
Wertheim, J. O., Murrell, B., Smith, M. D., Kosakovsky Pond, S. L., & Scheffler, K. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msu400 · Cited by 778 · see citing works
Bringmann, A., Iandiev, I., Pannicke, T., Wurm, A., Hollborn, M., Wiedemann, P., Osborne, N. N., & Reichenbach, A. (2009) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2009.07.001 · Cited by 761 · see citing works
MACSE v2: Toolkit for the Alignment of Coding Sequences Accounting for Frameshifts and Stop Codons
Ranwez, V., Douzery, E. J. P., Cambon, C., Chantret, N., & Delsuc, F. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msy159 · Cited by 743 · see citing works
An overview of the serpin superfamily.
Law, R. H. P., Zhang, Q., McGowan, S., Buckle, A. M., Silverman, G. A., Wong, W., Rosado, C. J., Langendorf, C. G., Pike, R. N., Bird, P. I., et al. (2006) · Genome biology · doi:10.1186/gb-2006-7-5-216 · Cited by 726 · see citing works
Reichenbach, A., & Bringmann, A. (2013) · Glia · doi:10.1002/glia.22477 · Cited by 720 · see citing works
Cell Types of the Human Retina and Its Organoids at Single-Cell Resolution
Cowan, C. S., Renner, M., De Gennaro, M., Gross-Scherf, B., Goldblum, D., Hou, Y., Munz, M., Rodrigues, T. M., Krol, J., Szikra, T., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.013 · Cited by 654 · see citing works
Epidemiology of Glaucoma: The Past, Present, and Predictions for the Future
Allison, K., Patel, D., & Alabi, O. (2020) · Cureus · doi:10.7759/cureus.11686 · Cited by 600 · see citing works
Genome sequencing reveals insights into physiology and longevity of the naked mole rat
Kim, E. B., Fang, X., Fushan, A. A., Huang, Z., Lobanov, A. V., Han, L., Marino, S. M., Sun, X., Turanov, A. A., Yang, P., et al. (2011) · Nature · doi:10.1038/nature10533 · Cited by 582 · see citing works
Aken, B. L., Achuthan, P., Akanni, W., Amode, M. R., Bernsdorff, F., Bhai, J., Billis, K., Carvalho-Silva, D., Cummins, C., Clapham, P., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1104 · Cited by 512 · see citing works
Chen, W., Stambolian, D., Edwards, A. O., Branham, K. E., Othman, M., Jakobsdottir, J., Tosakulwong, N., Pericak-Vance, M. A., Campochiaro, P. A., Klein, M. L., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0912702107 · Cited by 506 · see citing works
Uhlén, M., Karlsson, M. J., Hober, A., Svensson, A.-S., Scheffel, J., Kotol, D., Zhong, W., Tebani, A., Strandberg, L., Edfors, F., et al. (2019) · Science Signaling · doi:10.1126/scisignal.aaz0274 · Cited by 495 · see citing works
Expression Atlas update: from tissues to single cells
Papatheodorou, I., Moreno, P. A., Manning, J. R., Fuentes, A. M.-P., George, N., Fexova, S. K., Fonseca, N. A., Füllgrabe, A., Green, M., Huang, N., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz947 · Cited by 488 · see citing works
Crystal structure of uncleaved ovalbumin at 1·95 Å resolution
Stein, P. E., Leslie, A. G. W., Finch, J. T., & Carrell, R. W. (1991) · Journal of Molecular Biology · doi:10.1016/0022-2836(91)80185-w · Cited by 426 · see citing works
Gene regulatory networks controlling vertebrate retinal regeneration
Hoang, T. V., Wang, J., Boyd, P., Wang, F., Santiago, C. P., Jiang, L., Yoo, S., Lahne, M., Todd, L. J., Jia, M. X., et al. (2020) · Science · doi:10.1126/science.abb8598 · Cited by 422 · see citing works
Tedja, M. S., Wojciechowski, R., Hysi, P. G., Eriksson, N., Furlotte, N. A., Verhoeven, V. J. M., Iglesias, A. I., Meester‐Smoor, M. A., Tompson, S. W. J., Fan, Q., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0127-7 · Cited by 352 · see citing works
Hysi, P. G., Choquet, H., Khawaja, A. P., Wojciechowski, R., Tedja, M. S., Yin, J., Simcoe, M. J., Patasova, K., Mahroo, O. A., Thai, K. K., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0599-0 · Cited by 333 · see citing works
Cat-Map: putting cataract on the map.
Shiels, A., Bennett, T. M., & Hejtmancik, J. F. (2010) · Europe PMC (PubMed Central) · Cited by 299 · see citing works
Visual Acuity and the Evolution of Signals
Caves, E. M., Brandley, N. C., & Johnsen, S. (2018) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2018.03.001 · Cited by 298 · see citing works
The UCSC Genome Browser database: 2022 update
Lee, B. T., Barber, G. P., Benet-Pagès, A., Casper, J., Clawson, H., Diekhans, M., Fischer, C., Gonzalez, J. N., Hinrichs, A. S., Lee, C. M., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkab959 · Cited by 273 · see citing works
Newman, A. M., Gallo, N., Hancox, L. S., Miller, N. J., Radeke, C. M., Maloney, M. A., Cooper, J. B., Hageman, G. S., Anderson, D. H., Johnson, L. V., et al. (2012) · Genome Medicine · doi:10.1186/gm315 · Cited by 269 · see citing works
Shen, W., Fruttiger, M., Zhu, L., Chung, S. H., Barnett, N. L., Kirk, J. K., Lee, S.-R., Coorey, N. J., Killingsworth, M. C., Sherman, L. S., et al. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2841-12.2012 · Cited by 267 · see citing works
Update of the human and mouse SERPINgene superfamily
Heit, C., Jackson, B. C., McAndrews-Hill, M., Wright, M. W., Thompson, D. C., Silverman, G. A., Nebert, D. W., & Vasiliou, V. (2013) · Human Genomics · doi:10.1186/1479-7364-7-22 · Cited by 260 · see citing works
Barnstable, C. J. (2004) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2004.05.002 · Cited by 240 · see citing works
A genomics approach reveals insights into the importance of gene losses for mammalian adaptations
Sharma, V., Hecker, N., Roscito, J. G., Foerster, L., Langer, B. E., & Hiller, M. (2018) · Nature Communications · doi:10.1038/s41467-018-03667-1 · Cited by 237 · see citing works
Self-citationRamos, E. M., Hoffman, D., Junkins, H. A., Maglott, D., Phan, L., Sherry, S. T., Feolo, M., & Hindorff, L. A. (2014) · European Journal of Human Genetics · doi:10.1038/ejhg.2013.96 · Cited by 231 · see citing works
The evolution of color vision in nocturnal mammals
Zhao, H., Rossiter, S. J., Teeling, E. C., Li, C., Cotton, J. A., & Zhang, S. Y. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0813201106 · Cited by 217 · see citing works
Klimczak, R. R., Koerber, J. T., Dalkara, D., Flannery, J. G., & Schaffer, D. V. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007467 · Cited by 210 · see citing works
Visual Acuity in Mammals: Effects of Eye Size and Ecology
Veilleux, C. C., & Kirk, E. C. (2014) · Brain Behavior and Evolution · doi:10.1159/000357830 · Cited by 208 · see citing works
Adaptations to a Subterranean Environment and Longevity Revealed by the Analysis of Mole Rat Genomes
Fang, X., Seim, I., Huang, Z., Gerashchenko, M. V., Xiong, Z., Turanov, A. A., Zhu, Y., Lobanov, A. V., Fan, D., Yim, S. H., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.07.030 · Cited by 197 · see citing works
The Bgee suite: integrated curated expression atlas and comparative transcriptomics in animals
Bastian, F., Roux, J., Niknejad, A., Comte, A., Costa, S. S. F., de Farias, T. M., Moretti, S., Parmentier, G., de Laval, V. R., Rosikiewicz, M., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa793 · Cited by 192 · see citing works
ProteomicsDB: a multi-omics and multi-organism resource for life science research
Samaras, P., Schmidt, T., Frejno, M., Gessulat, S., Reinecke, M., Jarząb, A., Zecha, J., Mergner, J., Giansanti, P., Ehrlich, H., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz974 · Cited by 188 · see citing works
Development of a rod photoreceptor mosaic revealed in transgenic zebrafish
Fadool, J. M. (2003) · Developmental Biology · doi:10.1016/s0012-1606(03)00125-8 · Cited by 161 · see citing works
Partha, R., Chauhan, B. K., Ferreira, Z., Robinson, J. D., Lathrop, K., Nischal, K. K., Chikina, M., & Clark, N. L. (2017) · eLife · doi:10.7554/elife.25884 · Cited by 160 · see citing works
Paleogene Xenarthra and the evolution of South American mammals
Gaudin, T. J., & Croft, D. A. (2015) · Journal of Mammalogy · doi:10.1093/jmammal/gyv073 · Cited by 159 · see citing works
Rod Monochromacy and the Coevolution of Cetacean Retinal Opsins
Meredith, R. W., Gatesy, J., Emerling, C. A., York, V. M., & Springer, M. S. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003432 · Cited by 150 · see citing works
Hiller, M., Schaar, B. T., Indjeian, V. B., Kingsley, D. M., Hagey, L. R., & Bejerano, G. (2012) · Cell Reports · doi:10.1016/j.celrep.2012.08.032 · Cited by 144 · see citing works
Self-citationAPPRIS 2017: principal isoforms for multiple gene sets
Rodrı́guez, J. M., Rodriguez-Rivas, J., Domenico, T. D., Vázquez, J., Valencia, A., & Tress, M. L. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx997 · Cited by 139 · see citing works
Crystal structure of human PEDF, a potent anti-angiogenic and neurite growth-promoting factor
Simonović, M., Gettins, P. G. W., & Volz, K. W. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.211268598 · Cited by 120 · see citing works
Eyes underground: Regression of visual protein networks in subterranean mammals
Emerling, C. A., & Springer, M. S. (2014) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2014.05.016 · Cited by 119 · see citing works
Convergent gene losses illuminate metabolic and physiological changes in herbivores and carnivores
Hecker, N., Sharma, V., & Hiller, M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1818504116 · Cited by 116 · see citing works
Self-citationRadeke, M. J., Radeke, C. M., Shih, Y.-H., Hu, J. G., Bok, D., Johnson, L. V., & Coffey, P. J. (2015) · Genome Medicine · doi:10.1186/s13073-015-0183-x · Cited by 109 · see citing works
Serpin Inhibition Mechanism: A Delicate Balance between Native Metastable State and Polymerization
Khan, M. S., Singh, P., Azhar, A., Naseem, A., Rashid, Q., Kabir, M. A., & Jairajpuri, M. A. (2011) · Journal of Amino Acids · doi:10.4061/2011/606797 · Cited by 85 · see citing works
Roscito, J. G., Sameith, K., Parra, G., Langer, B. E., Petzold, A., Moebius, C., Bickle, M., Rodrigues, M. T., & Hiller, M. (2018) · Nature Communications · doi:10.1038/s41467-018-07122-z · Cited by 84 · see citing works
Self-citationSheffield, V. C., & Stone, E. M. (2011) · New England Journal of Medicine · doi:10.1056/nejmra1012354 · Cited by 84 · see citing works
Why do shrews twitter? Communication or simple echo-based orientation
Siemers, B. M., Schauermann, G., Turni, H., & von Merten, S. (2009) · Biology Letters · doi:10.1098/rsbl.2009.0378 · Cited by 84 · see citing works
Boles, N. C., Fernandes, M., Swigut, T., Srinivasan, R., Schiff, L., Rada-Iglesias, Á., Wang, Q., Saini, J. S., Kiehl, T. R., Stern, J. H., et al. (2020) · Stem Cell Reports · doi:10.1016/j.stemcr.2020.03.009 · Cited by 81 · see citing works
Prudent, X., Parra, G., Schwede, P., Roscito, J. G., & Hiller, M. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw098 · Cited by 71 · see citing works
Self-citationGene losses in the common vampire bat illuminate molecular adaptations to blood feeding
Blumer, M., Brown, T., Freitas, M. B., Destro, A. L., Oliveira, J. A., Morales, A. E., Schell, T., Greve, C., Pippel, M., Jebb, D., et al. (2022) · Science Advances · doi:10.1126/sciadv.abm6494 · Cited by 65 · see citing works
Self-citationEmerling, C. A., & Springer, M. S. (2014) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2014.2192 · Cited by 63 · see citing works
Wu, J., Yonezawa, T., & Kishino, H. (2017) · Current Biology · doi:10.1016/j.cub.2017.08.043 · Cited by 61 · see citing works
Dissecting evolution and disease using comparative vertebrate genomics
Meadows, J. R. S., & Lindblad‐Toh, K. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2017.51 · Cited by 59 · see citing works
Multi-trait genome-wide association study identifies new loci associated with optic disc parameters
Bonnemaijer, P. W. M., van Leeuwen, E. M., Iglesias, A. I., Gharahkhani, P., Vitart, V., Khawaja, A. P., Simcoe, M. J., Höhn, R., Cree, A. J., Igo, R. P., et al. (2019) · Communications Biology · doi:10.1038/s42003-019-0634-9 · Cited by 59 · see citing works
Sharma, V., & Hiller, M. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx554 · Cited by 58 · see citing works
Self-citationMachalińska, A., Kawa, M. P., Pius‐Sadowska, E., Stępniewski, J., Nowak, W. N., Rogińska, D., Kaczyńska, K., Baumert, B., Wiszniewska, B., Józkowicz, A., et al. (2013) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.13-12221 · Cited by 55 · see citing works
Darwinian genomics and diversity in the tree of life
Stephan, T., Burgess, S. M., Cheng, H., Danko, C. G., Gill, C. A., Jarvis, E. D., Koepfli, K.-P., Koltes, J. E., Lyons, E. H., Ronald, P. C., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2115644119 · Cited by 53 · see citing works
Bryan, J. M., Fufa, T., Bharti, K., Brooks, B. P., Hufnagel, R. B., & McGaughey, D. M. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy239 · Cited by 53 · see citing works
Hadziahmetovic, M., Kumar, U., Song, Y., Grieco, S. F., Song, D., Li, Y., Tobias, J. W., & Dunaief, J. L. (2012) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.12-10204 · Cited by 50 · see citing works
Multifactorial processes underlie parallel opsin loss in neotropical bats
Sadier, A., Davies, K. T. J., Yohe, L. R., Yun, K., Donat, P., Hedrick, B. P., Dumont, E. R., Dávalos, L. M., Rossiter, S. J., & Sears, K. E. (2018) · eLife · doi:10.7554/elife.37412 · Cited by 45 · see citing works
Pettigrew, J. D., Bhagwandin, A., Haagensen, M., & Manger, P. R. (2010) · Brain Behavior and Evolution · doi:10.1159/000314898 · Cited by 44 · see citing works
Fan, Q., Pozarickij, A., Tan, N. Y. Q., Guo, X., Verhoeven, V. J. M., Vitart, V., Guggenheim, J. A., Miyake, M., Tideman, J. W. L., Khawaja, A. P., et al. (2020) · Communications Biology · doi:10.1038/s42003-020-0802-y · Cited by 43 · see citing works
Notch Receptor Expression in Neurogenic Regions of the Adult Zebrafish Brain
Carlos, V., Ganz, J., Hans, S., Kaslin, J., & Brand, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073384 · Cited by 42 · see citing works
Self-citationCESAR 2.0 substantially improves speed and accuracy of comparative gene annotation
Sharma, V., Schwede, P., & Hiller, M. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx527 · Cited by 42 · see citing works
Self-citationIdentification of genes required for eye development by high-throughput screening of mouse knockouts
Moore, B. A., Leonard, B. C., Sebbag, L., Edwards, S., Cooper, A. E., Imai, D. M., Straiton, E., Santos, L., Reilly, C., Griffey, S. M., et al. (2018) · Communications Biology · doi:10.1038/s42003-018-0226-0 · Cited by 41 · see citing works
Inactivation of Cone-Specific Phototransduction Genes in Rod Monochromatic Cetaceans
Springer, M. S., Emerling, C. A., Fugate, N., Patel, R., Starrett, J., Morin, P. A., Hayashi, C. Y., & Gatesy, J. (2016) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2016.00061 · Cited by 36 · see citing works
Sharma, V., Hecker, N., Walther, F., Stuckas, H., & Hiller, M. (2020) · Molecular Biology and Evolution · doi:10.1093/molbev/msaa058 · Cited by 36 · see citing works
Self-citationEye Size and Visual Acuity Influence Vestibular Anatomy in Mammals
Kemp, A. D., & Kirk, E. C. (2014) · The Anatomical Record · doi:10.1002/ar.22892 · Cited by 35 · see citing works
Emerling, C. A., Widjaja, A., Nguyen, N., & Springer, M. S. (2017) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2017-104837 · Cited by 28 · see citing works
Hecker, N., Lächele, U., Stuckas, H., Giere, P., & Hiller, M. (2019) · Molecular Ecology · doi:10.1111/mec.15180 · Cited by 26 · see citing works
Self-citationRegressed but Not Gone: Patterns of Vision Gene Loss and Retention in Subterranean Mammals
Emerling, C. A. (2018) · Integrative and Comparative Biology · doi:10.1093/icb/icy004 · Cited by 25 · see citing works
Kevany, B. M., Zhang, N., Jastrzębska, B., & Palczewski, K. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv025 · Cited by 23 · see citing works
Sripathi, S. R., Hu, M.-W., Turaga, R. C., Mertz, J. L., Liu, M. M., Wan, J., Maruotti, J., Wahlin, K. J., Berlinicke, C. A., Qian, J. X., et al. (2021) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2021.100131 · Cited by 23 · see citing works
Rogińska, D., Kawa, M. P., Pius‐Sadowska, E., Lejkowska, R., Łuczkowska, K., Wiszniewska, B., Kaarniranta, K., Paterno, J. J., Schmidt, C. A., Machaliński, B., et al. (2017) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2017/5306790 · Cited by 21 · see citing works
Liobikas, J., Polianskyte-Prause, Z., Speer, O., Thompson, J. S., Alakoskela, J.-M. I., Peitsaro, N., Franck, M. C. M., Whitehead, M. A., Kinnunen, P. K. J., & Eriksson, O. (2005) · Protein Expression and Purification · doi:10.1016/j.pep.2005.08.006 · Cited by 20 · see citing works
Losses of human disease-associated genes in placental mammals
Sharma, V., & Hiller, M. (2019) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqz012 · Cited by 19 · see citing works
Self-citationOrganization of the somatosensory cortex in elephant shrews (E. edwardii)
Crish, S. D., Crish, S. D., O'Riain, M. J., & Catania, K. C. (2006) · The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology · doi:10.1002/ar.a.20357 · Cited by 19 · see citing works
The behavior of Solenodon paradoxus in captivity with comments in the behavior of other insectivora
Eisenberg, J. F., & Gould, E. (1966) · Zoologica scientific contributions of the New York Zoological Society · doi:10.5962/p.203281 · Cited by 19 · see citing works
Chiang, C.-Y., Ching, Y., Chang, T.-Y., Hu, L.-S., Yong, Y. S., Keak, P. Y., Mustika, I., Lin, M., & Liao, B. (2019) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2019.12.009 · Cited by 16 · see citing works
Langer, B. E., Roscito, J. G., & Hiller, M. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msy187 · Cited by 16 · see citing works
Self-citationAbouzeid, H., Meire, F. M., Osman, I. M., ElShakankiri, N., Bolay, S., Munier, F. L., & Schorderet, D. F. (2008) · Ophthalmology · doi:10.1016/j.ophtha.2008.08.044 · Cited by 15 · see citing works
Mass, A. M., Ketten, D. R., Odell, D. K., & Supin, A. Y. (2011) · The Anatomical Record · doi:10.1002/ar.21470 · Cited by 15 · see citing works
Review of sensory modalities of sirenians and the other extant Paenungulata clade
Moore, A., Hartstone‐Rose, A., & Gonzalez‐Socoloske, D. (2021) · The Anatomical Record · doi:10.1002/ar.24741 · Cited by 12 · see citing works
Jha, K. N., Wong, L., Zerfas, P. M., Silva, R. S. D., Fan, Y., Spiridonov, N. A., & Johnson, G. R. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.134767 · Cited by 11 · see citing works
Langer, B. E., & Hiller, M. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1200 · Cited by 10 · see citing works
Self-citationA new locus for inherited nuclear cataract mapped to the long arm of chromosome 1.
Wang, L., Lin, H., Shen, Y., Huang, S., Gu, J.-Z., Su, H. H., & Qi, Y. (2007) · PubMed · Cited by 10 · see citing works
Roscito, J. G., Subramanian, K., Naumann, R., Sarov, M., Shevchenko, A., Bogdanova, A. I., Kurth, T., Foerster, L. C., Kreysing, M., & Hiller, M. (2020) · Molecular Biology and Evolution · doi:10.1093/molbev/msaa212 · Cited by 9 · see citing works
Self-citationDiPaola, J. D., Yindee, M., & Plotnik, J. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-65898-x · Cited by 7 · see citing works
Kirilenko, B., Hiller, M., Gonzales-Irribarren, A., ningOTI, & shjenkins94 (2022) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.6400670 · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- Brand M Granato M 2002 Keeping and raising zebrafish Zebrafish: A Practical Approach Oxford University Press
- Sabir N Riazuddin SA Kaul H Iqbal F Nasir IA Zafar AU Qazi ZA Butt NH Khan SN Husnain T Hejtmancik JF Riazuddin S 2010 Mapping of a novel locus associated with autosomal recessive congenital cataract to chromosome 8p Molecular Vision 16 2911 2915 21203409 PMC3013063
Cited by
Sorted by citations
Integrating gene annotation with orthology inference at scale
Kirilenko, B. M., Munegowda, C., Osipova, E., Jebb, D., Sharma, V., Blumer, M., Morales, A. E., Ahmed, A.-W., Kontopoulos, D.-G., Hilgers, L., et al. (2023) · Science · doi:10.1126/science.abn3107 · Cited by 209 · see citing works
Self-citation
- Authors
- Indrischek, H., Hammer, J., Machate, A., Hecker, N., Kirilenko, B., Roscito, J., Hans, S., Norden, C., Brand, M., & Hiller, M.
- Affiliations
- Goethe University Frankfurt (DE)
- Center for Regenerative Therapies Dresden (DE)
- Max Planck Institute for the Physics of Complex Systems (DE)
- Max Planck Institute of Molecular Cell Biology and Genetics (DE)
- Corresponding author
- Brand, Michael
- Hiller, Michael
- ORCID
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2022-06-21
- Volume
- 11
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC9355568
- OpenAlex
- W4283271507
- Cited by
- 21
- References
- 111
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 5 · 2023: 3 · 2022: 2
- FWCI
- 1.39
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Lirias (KU Leuven) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Boehringer Ingelheim
- Max Planck Society
- Hessen State Ministry of Higher Education, Research and the Arts
- German Research Foundation (BR 1746/3 and BR 1746/6)
- European Research Council (Zf-BrainReg)
- Studienstiftung des Deutschen Volkes
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Retinal Development and Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Ocular Disorders and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Keywords
- convergent evolution, gene loss, eye development, visual acuity, Müller cells, retina, serine protease inhibitors, zebrafish, mice, CRISPR knockout, human genetic polymorphism, eye shape, comparative genomics, mammalian evolution
- MeSH terms
- Animals, Blindness, Eye Proteins, Humans, Mammals, Retina, Vision, Ocular, Vision Disorders, Zebrafish, Genome, Zebrafish Proteins, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review