Mitogenoma de águila real (Aquila chrysaetos) en el noroeste de Baja California, México: relaciones filogenéticas y variación genética
DOI:
https://doi.org/10.22201/ib.20078706e.2025.96.5541Palabras clave:
Región mediterránea, Linajes mitocondriales, Genoma mitocondrial, Secuenciación de próxima generación, Especies no modeloResumen
Ensamblamos y anotamos el genoma mitocondrial del águila real del noroeste de Baja California, México,
utilizando estrategias de referencia y de novo para analizar la sintenia de genes mitocondriales, las relaciones filogenéticas y la variación genética del DNA mitocondrial. La longitud del mitogenoma fue 17,472 pb (pares de bases) con una composición de bases de A (29.8%), C (32.5%), G (14.0%) y T (23.6%). El mitogenoma contiene 13 genes codificantes de los complejos proteínicos coxI II-III, Cytb, cATP 6 y 8, y nicotinamida adenina dinucleótido (NADH 1-6); esto fue consistente con el modelo general del mitogenoma reportado en otros congéneres. Los mitogenomas de individuos del noroeste de Baja California son únicos y se diferencian del mitogenoma de individuos del sur de California en 3 rasgos: 1) el tamaño de molécula es 140 pb más grande que el reportado, 2) adición de la región llamada pseudocontrol (ψRC) y 3) anotación en 2 fracciones de la región codificante de la proteína NADH deshidrogenasa subunidad 3 (ND3). La diversidad genética y los análisis filogenéticos de los genes individuales y el mitogenoma respaldan una estrecha relación genética entre las águilas reales del noroeste de Baja California y la región del sur de California.
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Aljanabi, S. M., & Martinez, I. (1997). Universal and rapid salt-extraction of high-quality genomic DNA for PCR-based techniques. Nucleic Acids Research, 25, 4692–4693. https://doi.org/10.1093/nar/25.22.4692
Auton, A., Brooks, L. D., Durbin, R. M., Garrison, E. P., Kang, H. M., Korbel, J. O. et al. (2015). A global reference for human genetic variation. The 1000 Genomes Project Consortium. Nature, 526, 68–74. https://doi.org/10.1038/nature15393
Baker, M. (2012). De novo genome assembly: What every biologist should know. Nature Methods, 9, 333–337. https://doi.org/10.1038/nmeth.1935
Bates, J. M., Tello, J. G., & Da Silva, J. M. C. (2003). Initial assessment of genetic diversity in ten bird species of South American Cerrado. Studies on Neotropical Fauna and Environment, 38, 87–94. https://doi.org/10.1076/snfe.38.2.87.15924
Bernt, M., Donath, A., Jühling, F., Externbrink, C., Florentz, G., & Fritzsch, J. (2013). MITOS: Improved de novo metazoan mitochondrial genome annotation. Molecular Phylogenetics and Evolution, 69, 313–319. https://doi.org/10.1016/j.ympev.2012.08.023
Bolger, A. M., Lohse, M., & Usadel, B. (2014). Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics, 30, 2114–2120. https://doi.org/10.1093/bioinformatics/btu170
Castresana, J. (2000). Selection of conserved blocks from multiple alignments for their use in Phylogenetic Analysis. Molecular Biology and Evolution, 17, 540–552. https://doi.org/10.1093/oxfordjournals.molbev.a026334
Coil, D., Jospin, G., & Darling, A. E. (2015). A5-miseq: an updated pipeline to assemble microbial genomes from Illumina MiSeq data. Bioinformatics, 31, 587–589. https://doi.org/10.1093/bioinformatics/btu661
Conant, G. C., & Wolfe, K. H. (2008). GenomeVx: Simple web-based creation of editable circular chromosome maps. Bioinformatics, 24, 861–862. https://doi.org/10.1093/bioinformatics/btm598
Craig, E. H., Adams, J. R., Waits, L. P., Fuller, M. R., & Whittington, D. M. (2016). Nuclear and mitochondrial DNA analyses of golden eagles (Aquila chrysaetos canadensis) from three areas in western North America; initial results and conservation implications. Plos One, 11, e0164248. https://doi.org/10.1371/journal.pone.0164248
D’Addario, M., Monroy-Vilchis, O., Zarco-González, M. M., & Santos-Fita, D. (2019). Potential distribution of Aquila chrysaetos in Mexico: Implications for conservation. Avian Biology Research, 12, 33–41. https://doi.org/10.1177/1758155918823424
Darling, A. C. E., Mau, B., Blattner, F. R., & Perna, N. T. (2004). Mauve: Multiple alignment of conserved genomic sequence with rearrangements. Genome Research, 14, 1394–1403. https://doi.org/10.1101/gr.2289704
Darriba, D., Taboada, G., Doallo, R., & Posada, D. (2012). jModelTest 2: more models, new heuristics and parallel computing. Nature Methods, 9, 772. https://doi.org/10.1038/nmeth.2109
Dawnay, N., Ogden, R., McEwing, R., Carvalho, G. R., & Thorpe, R. S. (2007). Validation of the barcoding gene COI for use in forensic genetic species identification. Forensic Science International, 173, 1–6. https://doi.org/10.1016/j.forsciint.2006.09.013
De León-Girón, G., Rodríguez-Estrella, R., & Ruiz-Campos, G. (2016). Estatus de distribución actual del águila real (Aquila chrysaetos) en el noroeste de Baja California, México. Revista Mexicana de Biodiversidad, 87, 1328–1335. https://doi.org/10.1016/j.rmb.2016.10.003
De León-Girón, G., Toscano, D., Ruiz-Campos, G., Porras-Peña, C., Escoto-Rodríguez, F., Sánchez-Sotomayor, V. G. et al. (2024). Aerial identification and quantification of nesting sites of Golden Eagle (Aquila chrysaetos) in the mountain ranges of central Baja California Peninsula, Mexico. Revista Mexicana de Biodiversidad, 95, e955247. https://doi.org/10.22201/ib.20078706e.2024.95.5247
Doyle, J. M., Katzner, T. E., Bloom, P. H., Ji, Y., Wijayawardena, B. K., & DeWoody, J. A. (2014). The genome sequence of a widespread apex predator, the golden eagle (Aquila chrysaetos). Plos One, 9, e95599. https://doi.org/10.1371/journal.pone.0095599
Doyle, J. M., Katzner, T. E., Roemer, G. W., Cain, J. W., Millsap, B. A., McIntyre, C. L. et al. (2016). Genetic structure and viability selection in the golden eagle (Aquila chrysaetos), a vagile raptor with a Holarctic distribution. Conservation Genetics, 17, 1307–1322. https://doi.org/10.1007/s10592-016-0863-0
Eberhard, J. R., & Wright, T. F. (2016). Rearrangement and evolution of mitochondrial genomes in parrots. Molecular Phylogenetics and Evolution, 94, 34–46. https://doi.org/10.1016/j.ympev.2015.08.011
Faria, P. J., Baus, E., Morgante, J. S., & Bruford, M. W. (2007). Challenges and prospects of population genetic studies in terns (Charadriiformes, Aves). Genetics and Molecular Biology, 30, 681–689. www.sbg.org.br
Felsenstein, J. (1981). Evolutionary trees from DNA sequences: a maximum likelihood approach. Journal of Molecular Evolution, 17, 368–376. https://doi.org/10.1007/BF01734359
Flesch, A. D., Rodríguez-Estrella, R., Gallo-Reynoso, J. P., Armenta-Méndez, L., & Montiel-Herrera, M. (2020). Distribution and habitat of the Golden Eagle (Aquila chrysaetos) in Sonora, Mexico. Revista Mexicana de Biodiversidad, 91, 1892–2019. https://doi.org/10.22201/ib.20078706e.2020.91.3056
Fridjonsson, O., Olafsson, K., Tompsett, S., Bjornsdottir, S., Consuegra, S., Knox, D. et al. (2011). Detection and mapping of mtDNA SNPs in Atlantic salmon using high throughput DNA sequencing. BMC Genomics, 12, 179. https://doi.org/10.1186/1471-2164-12-179.
Glenn, T. C., Nilsen, R. A., Kieran, T. J., Sanders, J. G., Bayona-Vásquez, N. J., Finger, J. W. et al. (2020). Adapterama I: universal stubs and primers for 384 unique dual-indexed or 147,456 combinatorially-indexed Illumina libraries (iTru & iNext). PeerJ, 7, e7755. https://doi.org/10.7717/peerj.7755
Guindon, S., & Gascuel, O. (2003). A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Systematic Biology, 52, 696–704. https://doi.org/10.1080/10635150390235520
Haring, E., Kruckenhauser, L., Gamauf, A., Riesing, M. J., & Pinsker W. (2001). the complete sequence of the mitochondrial genome of Buteo buteo (Aves, Accipitridae) indicates an early split in the phylogeny of raptors. Molecular Biology and Evolution, 18, 1892–1904. https://doi.org/10.1093/oxfordjournals.molbev.a003730
Hoang, D. T., Chernomor, O., Von Haeseler, A., Quang Minh, B., Sy Vinh, L., & Rosenberg, M. S. (2017). UFBoot2: improving the ultrafast bootstrap approximation. Molecular Biology and Evolution, 35, 518–522. https://doi.org/10.5281/zenodo.854445
Howell, S., & Webb, S. (1995). A guide of the birds of Mexico and northern Central America. Oxford, UK: Oxford University Press.
Hunt, M., Newbold, C., Berriman, M., & Otto, T. D. (2014). A comprehensive evaluation of assembly scaffolding tools. Genome Biology, 15, R42. https://doi.org/10.1186/gb-2014-15-3-r42
Jiang, L., Chen, J., Wang, P., Ren, Q., Yuan, J., Qian, C. et al. (2015). The mitochondrial genomes of Aquila fasciata and Buteo lagopus (Aves, Accipitriformes): sequence, structure and phylogenetic analyses. Plos One, 10, e0141037. https://doi.org/10.1371/journal.pone.0136297
Judkins, M. E., & Van Den Bussche, R. A. (2018). Holarctic phylogeography of golden eagles (Aquila chrysaetos) and evaluation of alternative North American management approaches. In Biological Journal of the Linnean Society, 123, 471–482. https://doi.org/10.1093/biolinnean/blx138
Kalyaanamoorthy, S., Minh, B. Q., Wong, T. K. F., Von Haeseler, A., & Jermiin L. S. (2017). ModelFinder: fast model selection for accurate phylogenetic estimates. Nature Methods, 14, 587–589. https://doi.org/10.1038/nmeth.4285
Katoh, K., & Standley, D. M. (2013). MAFFT multiple sequence alignment software Version 7: improvements in performance and usability article fast track. Molecular Biology and Evolution, 30, 772–780. https://doi.org/10.1093/molbev/mst010
Katzner, T., Kochert, M., Steenhof, K., McIntyre, C., Craig, E., & Miller, T. (2023). Golden Eagle (Aquila chrysaetos), version 2.0. In P. G. Rodewald, & B. K. Keeney (Eds.), Birds of the World. Ithaca, NY: Cornell Lab of Ornithology, USA. https://doi.org/10.2173/bow.goleag.02
Kochert, M. N., Steenhof, K., Mcintyre, C. L., & Craig, E. H. (2002). Golden Eagle (Aquila chrysaetos). In A. Poole, & F. Gill (Eds.), The birds of North America, No. 684 (pp. 1–44). Philadelphia, PA: The Birds of North America, Inc.
Langmead, B., & Salzberg, S. L. (2012). Fast gapped-read alignment with Bowtie 2. Nature Methods, 9, 357–359. https://doi.org/10.1038/nmeth.1923
Lerner, H. R. L., & Mindell, D. P. (2005). Phylogeny of eagles, Old World vultures, and other Accipitridae based on nuclear and mitochondrial DNA. Molecular Phylogenetics and Evolution, 37, 327–346. https://doi.org/10.1016/j.ympev.2005.04.010
Li, H. (2011). A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data. Bioinformatics, 27, 2987–2993. https://doi.org/10.1093/bioinformatics/btr509
Lindner, R., & Friedel, C. C. (2012). A comprehensive evaluation of alignment algorithms in the context of RNA-Seq. Plos One, 7, e52403. https://doi.org/10.1371/journal.pone.0052403
Liu, G., Li, C., Du, Y., & Liu X. (2017). The complete mitochondrial genome of Japanese sparrowhawk (Accipiter gularis) and the phylogenetic relationships among some predatory birds. Biochemical Systematics and Ecology, 70, 116–125. https://doi.org/10.1016/j.bse.2016.11.007
Machado, D. J., Janies, D., Brouwer, C., & Grant T. (2018). A new strategy to infer circularity applied to four new complete frog mitogenomes. Ecology and Evolution, 8, 4011–4018. https://doi.org/10.1002/ece3.3918
Machado, D. J., Lyra, M. L., & Grant, T. (2016). Mitogenome assembly from genomic multiplex libraries: comparison of strategies and novel mitogenomes for five species of frogs. Molecular Ecology Resources, 16, 686–693.
https://doi.org/10.1111/1755-0998.12492
McIntyre, C. L., & Lewis, S. B. (2016). Observations of migrating golden eagles (Aquila chrysaetos) in eastern interior Alaska offer insights on population size and migration monitoring. The Journal of Raptor Research, 50, 254–264. https://doi.org/10.3356/jrr-15-13.1
Mindell, D. P., Sorenson, M. D., & Dimcheff, D. E. (1998). An extra nucleotide is not translated in mitochondrial ND3 of some birds and turtles. Molecular Biology and Evolution, 15, 1568–1571. https://doi.org/10.1093/oxfordjournals.molbev.a025884
Moritz, C. (1994). Applications of mitochondrial DNA analysis in conservation: a critical review. Molecular Ecology, 3, 401–411. https://doi.org/10.1111/j.1365-294X.1994.tb00080.x
Nguyen, L. T., Schmidt, H. A., Von Haeseler, A., & Minh, B. Q. (2015). IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Molecular Biology and Evolution, 32, 268–274. https://doi.org/10.1093/molbev/msu300
Okonechnikov, K., Golosova, O., Fursov, M., Varlamov, A., Vaskin, Y., Efremov, I. et al. (2012). Unipro UGENE: a unified bioinformatics toolkit. Bioinformatics, 28, 1166–1167. https://doi.org/10.1093/bioinformatics/bts091
Poessel, S. A., Woodbridge, B., Smith, B. W., Murphy, R. K., Bedrosian, B. E., Bell, D. A. et al. (2022). Interpreting long-distance movements of non-migratory golden eagles: Prospecting and nomadism? Ecosphere, 13, e4072. https://doi.org/10.1002/ecs2.4072
Posada, D. (2008). jModelTest: phylogenetic model averaging. Molecular Biology and Evolution, 25, 1253–1256. https://doi.org/10.1093/molbev/msn083
Rambaut, A. (2010). FigTree v1.3.1. Institute of Evolutionary Biology, University of Edinburgh, Edinburgh. http://tree.bio.ed.ac.uk/software/figtree/
Rodríguez-Estrella, R. (2002). A survey of golden eagles in Northern Mexico in 1984 and recent records in Central and Southern Baja California Peninsula. Journal of Raptor Research, 36, 3–9. https://digitalcommons.usf.edu/jrr/vol36/iss5/3
Rodríguez-Estrella, R., De León-Girón, G., Nocedal, J., Chapa, L., Scott, L., Eccardi, F. et al. (2020). Informe del Programa de monitoreo del águila real en México. Ciudad de México: Comisión Nacional para el Conocimiento y Uso de la Biodiversidad/ Centro de Investigaciones Biológicas del Noroeste (CIBNOR).
Rodríguez-Estrella, R., Llinas-Gutiérrez, J., & Cancino, J. (1991). New Golden Eagle records from Baja California. Journal Raptor Research, 25, 68–71. https://digitalcommons.usf.edu/jrr/vol25/iss3/3
Ronquist, F., Teslenko, M., Van Der Mark, P., Ayres, D. L., Darling, A., Höhna, S. et al. (2012). Mrbayes 3.2: efficient bayesian phylogenetic inference and model choice across a large model space. Systematic Biology, 61, 539–542. https://doi.org/10.1093/sysbio/sys029
Rozas, J., Ferrer-Mata, A., Sánchez-Del Barrio, J. C., Guirao-Rico, S., Librado, P., Ramos-Onsins, S. E. et al. (2017). DnaSP 6: DNA sequence polymorphism analysis of large data sets. Molecular Biology and Evolution, 34, 3299–3302. https://doi.org/10.1093/molbev/msx248
Sangster, G., & Luksenburg, J. A. (2021). Sharp increase of problematic mitogenomes of birds: causes, consequences, and remedies. Genome Biology and Evolution, 13, 1–14. https://doi.org/10.1093/gbe/evab210
Sieber, P., Platzer, M., & Schuster, S. (2018). The definition of open reading frame revisited. Trends in Genetics, 34, 167–170. https://doi.org/10.1016/j.tig.2017.12.015
Slack, K. E., Janke, A., Penny, D., & Arnason, U. (2003). Two new avian mitochondrial genomes (penguin and goose) and a summary of bird and reptile mitogenomic features. Gene, 302, 43–52. https://doi.org/10.1016/S0378111902010533
Song, X., Huang, J., Yan, C., Xu, G., Zhang, X., & Yue, B. (2015). The complete mitochondrial genome of Accipiter virgatus and evolutionary history of the pseudo-control regions in Falconiformes. Biochemical Systematics and Ecology, 58, 75–84. https://doi.org/10.1016/j.bse.2014.10.013
Thankaswamy-Kosalai, S., Sen, P., & Nookaew, I. (2017). Evaluation and assessment of read-mapping by multiple next-generation sequencing aligners based on genome-wide characteristics. Genomics, 109, 186–191. https://doi.org/10.1016/j.ygeno.2017.03.001
Tracey, J. A., Madden, M. C., Sebes, J. B., Bloom, P. H., Katzner, T. E., & Fisher, R. N. (2017). Biotelemetery data for Golden Eagles (Aquila chrysaetos) captured in coastal southern California, February 2016-February 2017. U.S. Geological Survey Data Series 1051. https://doi.org/10.3133/ds1051
Watson, J., Riley, H., & Thomson, D. (2011). The Golden Eagle (2nd Ed.). New Haven, Connecticut: Yale University Press.
Zerbino, D. R., & Birney, E. (2008). Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Research, 18, 821–829. https://doi.org/10.1101/gr.074492.107