Cited by 66Genetic and Clinical Aspects of Sex Determination and Chromosomal AbnormalitiesSexual Differentiation and DisordersChromosomal and Genetic Variations

The mole genome reveals regulatory rearrangements associated with adaptive intersexuality

Open access
M. Real, Francisca, Haas, Stefan A., Franchini, Paolo, Xiong, Peiwen, Simakov, Oleg, Kuhl, Heiner, Schöpflin, Robert, Heller, David +21 more·2020·Science

Abstract

Intersexuality in female moles: Female moles are intersexual and develop masculinizing ovotestes, a distinctive trait among mammals. Real et al. investigated the origin of this trait by sequencing the Iberian mole genome and applying comparative strategies that integrate transcriptomic, epigenetic, and chromatin interaction data. They identified mole-specific genomic rearrangements that alter the three-dimensional regulatory landscape of the androgen-converting gene CYP17A1 and the pro-testicular factor gene FGF9 , both of which show distinct expression patterns in mole gonads. The use of transgenic mice confirms the capability of these factors to increase circulating testosterone levels and to induce gonadal masculinization. This study highlights how integrative approaches can reveal the phenotypic impact of genomic variation. Science , this issue p. 208

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1126/science.aaz2582

Cites

5 of 5 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

  • A single inversion in the mole genome has resulted in a high testosterone level in females, thought to aide in digging.

    “several recent studies demonstrated that a single inversion in the mole genome has resulted in a high testosterone level in females, thought to aide in digging (153)”

    From Topological Approaches in Animal Comparative Genomics (2026) · cites this paper as [153]

    The CYP17A1 triplication section reports high circulating androgens in female moles and links increased testosterone to the triplication’s regulatory effects, not to a single inversion. The Discussion suggests that androgen-related muscle strength may aid a burrowing lifestyle. The paper instead associates an FGF9 inversion with delayed meiosis and gonadal masculinization. (LLM, conf=0.90)

    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

Flagged first, then by citations

Research works printed but not linked: 94

  1. [1]Lopez-Rios J, Attenuated sensing of SHH by Ptch1 underlies evolution of bovine limbs. Nature. 511, 46– 51 (2014). 24990743
  2. [2]Chan YF, Adaptive evolution of pelvic reduction in sticklebacks by recurrent deletion of a Pitx1 enhancer. Science. 327, 302– 305 (2010). 20007865 PMC3109066
  3. [3]Dudchenko O, De novo assembly of the Aedes aegypti genome using Hi-C yields chromosome-length scaffolds. Science, eaal3327 (2017). PMC5635820 28336562
  4. [4]Dixon JR, Topological domains in mammalian genomes identified by analysis of chromatin interactions. Nature. 485, 376– 380 (2012). 22495300 PMC3356448
  5. [6]Harmston N, Topologically associating domains are ancient features that coincide with Metazoan clusters of extreme noncoding conservation. Nat Commun. 8, 441 (2017). 28874668 PMC5585340
  6. [7]Gómez-Marín C, Evolutionary comparison reveals that diverging CTCF sites are signatures of ancestral topological associating domains borders. PNAS. 112, 7542– 7547 (2015). 26034287 PMC4475986
  7. [8]Spielmann M, Lupiáñez DG, Mundlos S, Structural variation in the 3D genome. Nat. Rev. Genet (2018), doi: 10.1038/s41576-018-0007-0. 29692413 · DOI
  8. [11]Capel B, Vertebrate sex determination: evolutionary plasticity of a fundamental switch. Nat. Rev. Genet 18, 675– 689 (2017). 28804140
  9. [12]Barrionuevo FJ, Zurita F, Burgos M, Jiménez R, Testis-like development of gonads in female moles. New insights on mammalian gonad organogenesis. Dev. Biol 268, 39– 52 (2004). 15031103
  10. [13]Carmona FD, The evolution of female mole ovotestes evidences high plasticity of mammalian gonad development. J. Exp. Zool. B Mol. Dev. Evol 310, 259– 266 (2008). 18085526
  11. [14]Haeck J, Colonization of the mole (Talpa europea L.) in the ijsselmeer polders. Netherlands Journal of Zoology. 19 (2), 145– 248 (1969).
  12. [15]Douady CJ, Molecular phylogenetic evidence confirming the Eulipotyphla concept and in support of hedgehogs as the sister group to shrews. Molecular Phylogenetics and Evolution. 25, 200– 209 (2002). 12383761
  13. [16]Wang Q, Lan Y, Cho E-S, Maltby KM, Jiang R, Odd-skipped related 1 (Odd1) is an essential regulator of heart and urogenital development. Dev Biol. 288 (2005), doi: 10.1016/j.ydbio.2005.09.024. PMC3869089 16223478 · DOI
  14. [17]Berthet C, Aleem E, Coppola V, Tessarollo L, Kaldis P, Cdk2 Knockout Mice Are Viable. Current Biology. 13, 1775– 1785 (2003). 14561402
  15. [18]Hanukoglu I, Steroidogenic enzymes: structure, function, and role in regulation of steroid hormone biosynthesis. J. Steroid Biochem. Mol. Biol 43, 779– 804 (1992). 22217824
  16. [19]Capel B, Vertebrate sex determination: evolutionary plasticity of a fundamental switch. Nat. Rev. Genet 18, 675– 689 (2017). 28804140
  17. [20]Suryamohan K, Halfon MS, Overview Article: Identifying transcriptional cis-regulatory modules in animal genomes. Wiley Interdiscip Rev Dev Biol. 4, 59– 84 (2015). 25704908 PMC4339228
  18. [21]Bowles J, FGF9 suppresses meiosis and promotes male germ cell fate in mice. Dev. Cell. 19, 440– 449 (2010). 20833365
  19. [22]Zurita F, Meiosis onset is postponed to postnatal stages during ovotestis development in female moles. Sex Dev. 1, 66– 76 (2007). 18391517
  20. [23]Colvin JS, White AC, Pratt SJ, Ornitz DM, Lung hypoplasia and neonatal death in Fgf9-null mice identify this gene as an essential regulator of lung mesenchyme. Development. 128, 2095– 2106 (2001). 11493531
  21. [24]Bi W, Haploinsufficiency of Sox9 results in defective cartilage primordia and premature skeletal mineralization. Proc. Natl. Acad. Sci. U.S.A 98, 6698– 6703 (2001). 11371614 PMC34415
  22. [25]Lazar NH, Epigenetic maintenance of topological domains in the highly rearranged gibbon genome. Genome Res. (2018), doi: 10.1101/gr.233874.117. PMC6028127 29914971 · DOI · Paper page
  23. [26]Will AJ, Composition and dosage of a multipartite enhancer cluster control developmental expression of Ihh (Indian hedgehog). Nat. Genet 49, 1539– 1545 (2017). 28846100 PMC5617800
  24. [27]Peterson JK, Moran F, Conley AJ, Bird IM, Zonal expression of endothelial nitric oxide synthase in sheep and rhesus adrenal cortex. Endocrinology. 142, 5351– 5363 (2001). 11713235
  25. [28]Rao SSP, A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping. Cell. 159, 1665– 1680 (2014). 25497547 PMC5635824
  26. [29]Durand NC, Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experiments. Cell Syst. 3, 95– 98 (2016). 27467249 PMC5846465
  27. [30]Li H, Durbin R, Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics. 26, 589– 595 (2010). 20080505 PMC2828108
  28. [31]Dobin A, STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 29, 15– 21 (2013). 23104886 PMC3530905
  29. [32]Love MI, Huber W, Anders S, Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014). 25516281 PMC4302049
  30. [33]Thomas PD, PANTHER: a library of protein families and subfamilies indexed by function. Genome Res. 13, 2129– 2141 (2003). 12952881 PMC403709
  31. [34]Mammana A, Chung H-R, Chromatin segmentation based on a probabilistic model for read counts explains a large portion of the epigenome. Genome Biol. 16, 151 (2015). 26206277 PMC4514447
  32. [35]Buenrostro JD, Wu B, Chang HY, Greenleaf WJ, Curr Protoc Mol Biol, in press, doi: 10.1002/0471142727.mb2129s109. PMC4374986 25559105 · DOI · Paper page
  33. [37]Bakhaus K, Sodium-dependent organic anion transporter (Slc10a6−/−) knockout mice show normal spermatogenesis and reproduction, but elevated serum levels for cholesterol sulfate. J. Steroid Biochem. Mol. Biol 179, 45– 54 (2018). 28743544
  34. [38]Kraft K, Duplications: Engineering of Structural Variants using CRISPR/Cas in Mice. Cell Rep (2015), doi: 10.1016/j.celrep.2015.01.016. 25660031 · DOI
  35. [39]Zhao L, Ng ET, Koopman P, A piggyBac transposon- and gateway-enhanced system for efficient BAC transgenesis. Dev. Dyn 243, 1086– 1094 (2014). 24924516
  36. [40]Wang J, An improved recombineering approach by adding RecA to lambda Red recombination. Mol. Biotechnol 32, 43– 53 (2006). 16382181
  37. [41]Rostovskaya M, Transposon-mediated BAC transgenesis in human ES cells. Nucleic Acids Res. 40, e150 (2012). 22753106 PMC3479164
  38. [42]van de Werken HJG, 4C technology: protocols and data analysis. Meth. Enzymol 513, 89– 112 (2012). 22929766
  39. [43]Marçais G, Kingsford C, A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics. 27, 764– 770 (2011). 21217122 PMC3051319
  40. [44]Vurture GW, GenomeScope: fast reference-free genome profiling from short reads. Bioinformatics. 33, 2202– 2204 (2017). 28369201 PMC5870704
  41. [45]Sánchez A, Stamatopoulos C, Redi CA, Descriptive kinetics of the seminiferous epithelium cycle and genome size in the mole Talpa occidentalis (Insectivora). J. Exp. Zool 273, 51– 58 (1995). 7561724
  42. [46]Dolezel J, Bartos J, Voglmayr H, Greilhuber J, Nuclear DNA content and genome size of trout and human. Cytometry A. 51, 127– 128; author reply 129 (2003). 12541287
  43. [47]Koren S, Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation. Genome Res. 27, 722– 736 (2017). 28298431 PMC5411767
  44. [48]Walker BJ, Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement. PLOS ONE. 9, e112963 (2014). 25409509 PMC4237348
  45. [50]Bao Z, Eddy SR, Automated de novo identification of repeat sequence families in sequenced genomes. Genome Res. 12, 1269– 1276 (2002). 12176934 PMC186642
  46. [51]Price AL, Jones NC, Pevzner PA, De novo identification of repeat families in large genomes. Bioinformatics. 21 Suppl 1, i351– 358 (2005). 15961478
  47. [52]Jurka J, Repbase Update, a database of eukaryotic repetitive elements. Cytogenet. Genome Res. 110, 462– 467 (2005). 16093699
  48. [53]Haas BJ, Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignments. Genome Biol. 9, R7 (2008). 18190707 PMC2395244
  49. [54]UniProt: a worldwide hub of protein knowledge. Nucleic Acids Res. 47, D506– D515 (2019). 30395287 PMC6323992
  50. [55]Slater GSC, Birney E, Automated generation of heuristics for biological sequence comparison. BMC Bioinformatics. 6, 31 (2005). 15713233 PMC553969
  51. [56]Pertea M, Kim D, Pertea GM, Leek JT, Salzberg SL, Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown. Nat Protoc. 11, 1650– 1667 (2016). 27560171 PMC5032908
  52. [57]Hoff KJ, Lange S, Lomsadze A, Borodovsky M, Stanke M, BRAKER1: Unsupervised RNA-Seq-Based Genome Annotation with GeneMark-ET and AUGUSTUS. Bioinformatics. 32, 767– 769 (2016). 26559507 PMC6078167
  53. [58]Haas BJ, Improving the Arabidopsis genome annotation using maximal transcript alignment assemblies. Nucleic Acids Res. 31, 5654– 5666 (2003). 14500829 PMC206470
  54. [59]Grabherr MG, Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat. Biotechnol 29, 644– 652 (2011). 21572440 PMC3571712
  55. [60]Kim D, Langmead B, Salzberg SL, HISAT: a fast spliced aligner with low memory requirements. Nat. Methods 12, 357– 360 (2015). 25751142 PMC4655817
  56. [61]Pearson WR, Curr Protoc Bioinformatics, in press, doi: 10.1002/0471250953.bi0309s53. · DOI
  57. [62]Drăgan M-A, Moghul I, Priyam A, Bustos C, Wurm Y, GeneValidator: identify problems with protein-coding gene predictions. Bioinformatics. 32, 1559– 1561 (2016). 26787666 PMC4866521
  58. [63]Chan PP, Lowe TM, tRNAscan-SE: Searching for tRNA Genes in Genomic Sequences. Methods Mol. Biol 1962, 1– 14 (2019). 31020551 PMC6768409
  59. [64]Chan PP, Lowe TM, GtRNAdb 2.0: an expanded database of transfer RNA genes identified in complete and draft genomes. Nucleic Acids Res. 44, D184– D189 (2016). 26673694 PMC4702915
  60. [65]Kalvari I, Rfam 13.0: shifting to a genome-centric resource for non-coding RNA families. Nucleic Acids Res. 46, D335– D342 (2018). 29112718 PMC5753348
  61. [66]Kalvari I, Non-Coding RNA Analysis Using the Rfam Database. Curr Protoc Bioinformatics. 62, e51 (2018). 29927072 PMC6754622
  62. [67]Nawrocki EP, Eddy SR, Infernal 1.1: 100-fold faster RNA homology searches. Bioinformatics. 29, 2933– 2935 (2013). 24008419 PMC3810854
  63. [68]Li H, TreeFam: a curated database of phylogenetic trees of animal gene families. Nucleic Acids Res. 34, D572– 580 (2006). 16381935 PMC1347480
  64. [69]Lin Q, The seahorse genome and the evolution of its specialized morphology. Nature. 540, 395– 399 (2016). 27974754 PMC8127814
  65. [70]Katoh K, Standley DM, MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol. Biol. Evol 30, 772– 780 (2013). 23329690 PMC3603318
  66. [71]Capella-Gutiérrez S, Silla-Martínez JM, Gabaldón T, trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics. 25, 1972– 1973 (2009). 19505945 PMC2712344
  67. [72]Stamatakis A, RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics. 30, 1312– 1313 (2014). 24451623 PMC3998144
  68. [73]Yang Z, PAML 4: phylogenetic analysis by maximum likelihood. Mol. Biol. Evol 24, 1586– 1591 (2007). 17483113
  69. [74]Kumar S, Stecher G, Suleski M, Hedges SB, TimeTree: A Resource for Timelines, Timetrees, and Divergence Times. Mol. Biol. Evol 34, 1812– 1819 (2017). 28387841
  70. [75]De Bie T, Cristianini N, Demuth JP, Hahn MW, CAFE: a computational tool for the study of gene family evolution. Bioinformatics. 22, 1269– 1271 (2006). 16543274
  71. [76]Zhang J, Nielsen R, Yang Z, Evaluation of an improved branch-site likelihood method for detecting positive selection at the molecular level. Mol. Biol. Evol 22, 2472– 2479 (2005). 16107592
  72. [77]Benjamini Y, Hochberg Y, Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society. Series B (Methodological). 57, 289– 300 (1995).
  73. [78]Reimand J, g:Profiler-a web server for functional interpretation of gene lists (2016 update). Nucleic Acids Res. 44, W83– 89 (2016). 27098042 PMC4987867
  74. [79]Harris RS, thesis, Pennsylvania State University, USA (2007).
  75. [80]Kent WJ, The human genome browser at UCSC. Genome Res. 12, 996– 1006 (2002). 12045153 PMC186604
  76. [81]Blanchette M, Aligning multiple genomic sequences with the threaded blockset aligner. Genome Res. 14, 708– 715 (2004). 15060014 PMC383317
  77. [83]Quinlan AR, Hall IM, BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics. 26, 841– 842 (2010). 20110278 PMC2832824
  78. [84]Cooper GM, Stone EA, Asimenos G, NISC Comparative Sequencing Program, E. D. Green, S. Batzoglou, A. Sidow, Distribution and intensity of constraint in mammalian genomic sequence. Genome Res. 15, 901– 913 (2005). 15965027 PMC1172034
  79. [85]Siepel A, Pollard KS, Haussler D, in Proceedings of the 10th annual international conference on Research in Computational Molecular Biology (Springer-Verlag, Venice, Italy, 2006; 10.1007/11732990_17), RECOMB’06, pp. 190– 205. · DOI
  80. [86]Dutheil JY, Gaillard S, Stukenbrock EH, MafFilter: a highly flexible and extensible multiple genome alignment files processor. BMC Genomics. 15, 53 (2014). 24447531 PMC3904536
  81. [87]Raudvere U,, g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update). Nucleic Acids Res. 47, W191– W198 (2019). 31066453 PMC6602461
  82. [88]Kiełbasa SM, Wan R, Sato K, Horton P, Frith MC, Adaptive seeds tame genomic sequence comparison. Genome Res. 21, 487– 493 (2011). 21209072 PMC3044862
  83. [89]McKay SJ, Vergara IA, Stajich JE, Curr Protoc Bioinformatics, in press, doi: 10.1002/0471250953.bi0912s31. PMC3162311 20836076 · DOI
  84. [90]Kent WJ, Baertsch R, Hinrichs A, Miller W, Haussler D, Evolution’s cauldron: duplication, deletion, and rearrangement in the mouse and human genomes. Proc. Natl. Acad. Sci. U.S.A. 100, 11484– 11489 (2003). 14500911 PMC208784
  85. [91]Osipova E, Hecker N, Hiller M, RepeatFiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements. Gigascience. 8 (2019), doi: 10.1093/gigascience/giz132. PMC6862929 31742600 · DOI
  86. [92]Suarez HG, Langer BE, Ladde P, Hiller M, chainCleaner improves genome alignment specificity and sensitivity. Bioinformatics. 33, 1596– 1603 (2017). 28108446
  87. [93]Haeussler M, The UCSC Genome Browser database: 2019 update. Nucleic Acids Res. 47, D853– D858 (2019). 30407534 PMC6323953
  88. [94]Shin H, TopDom: an efficient and deterministic method for identifying topological domains in genomes. Nucleic Acids Res. 44, e70 (2016). 26704975 PMC4838359
  89. [95]Thomas-Chollier M, Transcription factor binding predictions using TRAP for the analysis of ChIP-seq data and regulatory SNPs. Nat Protoc. 6, 1860– 1869 (2011). 22051799
  90. [97]Vinogradov AE, Genome size and GC-percent in vertebrates as determined by flow cytometry: the triangular relationship. Cytometry. 31, 100– 109 (1998). 9482279
  91. [98]Smith JDL, Bickham JW, Gregory TR, Patterns of genome size diversity in bats (order Chiroptera). Genome. 56, 457– 472 (2013). 24168629
  92. [99]Gallardo MH, Bickham JW, Kausel G, Köhler N, Honeycutt RL, Gradual and quantum genome size shifts in the hystricognath rodents. J. Evol. Biol 16, 163– 169 (2003). 14635891
  93. [100]Capparelli R, DNA content differences in laboratory mouse strains determined by flow cytometry. Cytometry. 29, 261– 266 (1997). 9389443
  94. [101]Kasai F, O’Brien PCM, Ferguson-Smith MA, Afrotheria genome; overestimation of genome size and distinct chromosome GC content revealed by flow karyotyping. Genomics. 102, 468– 471 (2013). 24055950

Cited by

Sorted by citations

Authors
M. Real, F., Haas, S. A., Franchini, P., Xiong, P., Simakov, O., Kuhl, H., Schöpflin, R., Heller, D., Moeinzadeh, M.-H., Heinrich, V., Krannich, T., Bressin, A., Hartmann, M. F., Wudy, S. A., Dechmann, D. K. N., Hurtado, A., Barrionuevo, F. J., Schindler, M., Harabula, I., Osterwalder, M., Hiller, M., Wittler, L., Visel, A., Timmermann, B., Meyer, A., Vingron, M., Jiménez, R., Mundlos, S., & Lupiáñez, D. G.
Affiliations
  • RG Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany.
  • Max Planck Institute for Molecular Genetics (DE)
  • University of Konstanz (DE)
  • University of Vienna (AT)
  • Leibniz Institute of Freshwater Ecology and Inland Fisheries (DE)
  • Justus-Liebig-Universität Gießen (DE)
  • Universidad de Granada (ES)
  • University of Bern (CH)
  • Max Planck Institute for the Physics of Complex Systems (DE)
  • Lawrence Berkeley National Laboratory (US)
  • Berlin-Brandenburger Centrum für Regenerative Therapien (DE)
  • Max Delbrück Center (DE)
Corresponding author
  • Mundlos, Stefan
  • Lupiáñez, Darío G.
Venue
Science
Published
2020-10-09
Volume
370
Issue
6513
Pages
208-214
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W3092396653
Cited by
66
References
5
Citations by year
2026: 9 · 2025: 13 · 2024: 8 · 2023: 17 · 2022: 10 · 2021: 7 · 2020: 2
FWCI
5.34
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (acceptedVersion, other-oa)
  • Institutional Repository of the University of Granada (University of Granada) (submittedVersion, other-oa)
  • UnitusOpen (Tuscia University) (submittedVersion, public-domain)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
  • RISalud Institutional Health Repository of Andalucía (submittedVersion, other-oa)
  • Bern Open Repository and Information System (University of Bern) (submittedVersion)
  • MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • IRIS Research product catalog (Sapienza University of Rome) (submittedVersion, other-oa)
  • KOPS (University of Konstanz) (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
  • Open Access CRIS of the University of Bern
Funders
  • Fundación Alfonso Martín Escudero
  • Deutsche Forschungsgemeinschaft (MU 880/15-1, MU 880/16-1)
  • Max-Planck-Gesellschaft
  • Helmholtz Association (ERC-RA-0033)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Sexual Differentiation and Disorders
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Chromosomal and Genetic Variations
Keywords
intersex, ovotestis, CYP17A1, FGF9, genome rearrangement, 3D genome organization, epigenetics, testosterone, adaptive evolution, comparative genomics
MeSH terms
Adaptation, Physiological, Animals, Female, Gene Expression Regulation, Chromosome Inversion, Mice, Transgenic, Moles, Sex Differentiation, Steroid 17-alpha-Hydroxylase, Testosterone, Genome, Tandem Repeat Sequences, Regulatory Elements, Transcriptional, Mice, Fibroblast Growth Factor 9, Datasets as Topic

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