Análisis de la aplicación de genómica en la restauración ecológica
DOI:
https://doi.org/10.47230/agrosilvicultura.medioambiente.v1.n2.2023.74-82Keywords:
Edición del genoma, disturbios, genes, genomas, meta-ómica, regeneración ecológicaAbstract
Los ecosistemas están expuestos a diferentes presiones, tanto de origen natural como antrópico, afectando la biodiversidad y disminuyendo las funciones de los servicios ecosistémicos, la restauración mediante programas ha mostrado deficiencias en los ecosistemas fragmentados, al respecto diferentes estudios han demostrado que la aplicación de genómica puede aumentar las probabilidades de restauración. La presente revisión tuvo como objetivo analizar la aplicación de genómica en la restauración ecológica, las técnicas genómicas ofrecen lo necesario para potencializar los organismos vivos para la restauración de ecosistemas y funciones ecológicas, mediante las herramientas genómicas de poblaciones acceden al estudio de mejoramiento del genotipo y la representación del genoma, meta-ómica permite caracterizar diferentes grupos taxonómicos mediante la secuenciación de ADN o ARN, la edición del genoma atribuye la modificación y potencialización de nuevos genotipos obteniendo la capacidad de mejorar las probabilidades de regeneración en un ecosistema perturbado de acuerdo a los objetivos del programa de restauración, en conclusión la genómica para la restauración ecológica tiene el potencial para regenerar los ecosistemas afectados por disturbios, aunque puede presentar limitaciones en función a procedimientos logísticos, adquisición de equipos tecnológicos, incluso con el genotipo del organismo vivo, y transmisión de patógenos.
Downloads
References
Aavik, T., Träger, S., Zobel, M., Honnay, O., Van Geel, M., Bueno, C. G., & Koorem, K. (2021). The joint effect of host plant genetic diversity and arbuscular mycorrhizal fungal communities on restoration success. Functional Ecology, 35(12), 2621-2634. https://doi.org/10.1111/1365-2435.13914
Baxter, I., & Danforth, D. (2023). Inclusive collaboration across plant physiology and genomics: Now is the time! Plant Direct, 7(5), 1-12. https://doi.org/10.1002/pld3.493
Breed, M. F., Harrison, P. A., Blyth, C., Byrne, M., Gaget, V., Gellie, N. J. C., Groom, S. V. C., Hodgson, R., Mills, J. G., Prowse, T. A. A., Steane, D. A., & Mohr, J. J. (2019). The potential of genomics for restoring ecosystems and biodiversity. Nature Reviews Genetics, 20(10), 615-628. https://doi.org/10.1038/s41576-019-0152-0
Cando-Dumancela, C., Liddicoat, C., McLeod, D., Young, J. M., & Breed, M. F. (2021). A guide to minimize contamination issues in microbiome restoration studies. Restoration Ecology, 29(4), 1-7. https://doi.org/10.1111/rec.13358
Carlucci, M. B., Brancalion, P. H. S., Rodrigues, R. R., Loyola, R., & Cianciaruso, M. V. (2020). Functional traits and ecosystem services in ecological restoration. Restoration Ecology, 28(6), 1372-1383. https://doi.org/10.1111/rec.13279
Chen, L., Wang, G., Teng, M., Wang, L., Yang, F., Jin, G., Du, H., & Xu, Y. (2023). Non‐gene‐editing microbiome engineering of spontaneous food fermentation microbiota-Limitation control, design control, and integration. Comprehensive Reviews in Food Science and Food Safety, 22, 1902-1932. https://doi.org/10.1111/1541-4337.13135
Ciocănea, C. M., Corpade, P. C., Onose, D. A., Vânău, G. O., Maloş, C., Petrovici, M., Gheorghe, C., Dedu, S., Manta, N., & Szép, R. E. (2019). The assessment of lotic ecosystems degradation using multi-Criteria analysis and gis techniques. Carpathian Journal of Earth and Environmental Sciences, 14(2), 255-268. https://doi.org/10.26471/CJEES/2019/014/077
Cooke, S. J., & Suski, C. D. (2008). Ecological restoration and physiology: An overdue integration. BioScience, 58(10), 957-968. https://doi.org/10.1641/B581009
Cordeiro, E. M. G., Menezes, C., Patricia, M., Sujii, S., Dias, K., Baldin, J., Ricardo, P., Rodrigues, R., Brancalion, P. H. S., & Zucchi, M. I. (2019). Diversity , genetic structure , and population genomics of the tropical tree Centrolobium tomentosum in remnant and restored Atlantic forests. Conservation Genetics, 20(5), 1073-1085. https://doi.org/10.1007/s10592-019-01195-z
de Wit, M. M. (2020). Democratizing CRISPR? Stories, practices, and politics of science and governance on the agricultural gene editing frontier. Elementa, 8. https://doi.org/10.1525/elementa.405
Dickman, C. R. (2021). Ecological consequences of Australia’s “Black Summer” bushfires: Managing for recovery. Integrated Environmental Assessment and Management, 17(6), 1162-1167. https://doi.org/10.1002/ieam.4496
Gwenzi, W. (2021). Rethinking restoration indicators and end-points for post-mining landscapes in light of novel ecosystems. Geoderma, 387, 114944. https://doi.org/10.1016/j.geoderma.2021.114944
Hassan, S., & Ganai, B. A. (2023). Deciphering the recent trends in pesticide bioremediation using genome editing and multi-omics approaches: a review. World journal of microbiology & biotechnology, 39(6), 151. https://doi.org/10.1007/s11274-023-03603-6
Heuertz, M., Carvalho, S. B., Galindo, J., Rinkevich, B., Robakowski, P., Aavik, T., Altinok, I., Barth, J. M. I., Cotrim, H., Goessen, R., González-Martínez, S. C., Grebenc, T., Hoban, S., Kopatz, A., McMahon, B. J., Porth, I., Raeymaekers, J. A. M., Träger, S., Valdecantos, A., … Garnier-Géré, P. (2023). The application gap: Genomics for biodiversity and ecosystem service management. Biological Conservation, 278(January). https://doi.org/10.1016/j.biocon.2022.109883
Koskela, J., Vinceti, B., Dvorak, W., Bush, D., Dawson, I. K., Loo, J., Kjaer, E. D., Navarro, C., Padolina, C., Bordács, S., Jamnadass, R., Graudal, L., & Ramamonjisoa, L. (2014). Utilization and transfer of forest genetic resources: A global review. Forest Ecology and Management, 333, 22-34. https://doi.org/10.1016/j.foreco.2014.07.017
La Notte, A., & Marques, A. (2019). Adjusted macroeconomic indicators to account for ecosystem degradation: an illustrative example. Ecosystem Health and Sustainability, 5(1), 133-143. https://doi.org/10.1080/20964129.2019.1634979
Lee, C. K. F., Duncan, C., Nicholson, E., Fatoyinbo, T. E., Lagomasino, D., Thomas, N., Worthington, T. A., & Murray, N. J. (2021). Mapping the extent of mangrove ecosystem degradation by integrating an ecological conceptual model with satellite data. Remote Sensing, 13(11), 1-19. https://doi.org/10.3390/rs13112047
Lengefeld, E., Stringer, L. C., & Nedungadi, P. (2022). Livelihood security policy can support ecosystem restoration. Restoration Ecology, 30(7), 1-11. https://doi.org/10.1111/rec.13621
Li, Y., Pinto-Tomás, A. A., Rong, X., Cheng, K., Liu, M., & Huang, Y. (2019). Population genomics insights into adaptive evolution and ecological differentiation in streptomycetes. Applied and Environmental Microbiology, 85(7). https://doi.org/10.1128/AEM.02555-18
Martín, M., Marín, D., Serrot, P. H., & Sabater, B. (2015). Evolutionary reversion of editing sites of ndh genes suggests their origin in the Permian-Triassic, before the increase of atmospheric CO 2. Frontiers in Ecology and Evolution, 3, 1-12. https://doi.org/10.3389/fevo.2015.00081
McIntosh, A. C. S., Drozdowski, B., Degenhardt, D., Powter, C. B., Small, C. C., Begg, J., Farr, D., Janz, A., Lupardus, R. C., Ryerson, D., & Schieck, J. (2019). Monitoring ecological recovery of reclaimed wellsites: Protocols for quantifying recovery on forested lands. MethodsX, 6, 876-909. https://doi.org/10.1016/j.mex.2019.03.031
Mei, R., & Liu, W. T. (2022). Meta-Omics-Supervised characterization of respiration activities associated with m microbial immigrants in anaerobic sludge digesters. Environmental Science and Technology, 56, 6689-6698. https://doi.org/10.1021/acs.est.2c01029
Nawaz, S., & Satterfield, T. (2022). On the nature of naturalness? Theorizing ‘nature’ for the study of public perceptions of novel genomic technologies in agriculture and conservation. Environmental Science and Policy, 136(September 2021), 291-303. https://doi.org/10.1016/j.envsci.2022.06.008
Pampín, M., Casanova, A., Fernández, C., Blanco, A., Hermida, M., Vera, M., Pardo, B. G., Coimbra, R. M., Cao, A., Iglesias, D., Carballal, M. J., Villalba, A., & Martínez, P. (2023). Genetic markers associated with divergent selection against the parasite Marteilia cochillia in common cockle ( Cerastoderma edule ) using transcriptomics and population genomics data. Frontiers in Marine Science, 10(April), 1-14. https://doi.org/10.3389/fmars.2023.1057206
Papik, J., Strejcek, M., Musilova, L., Guritz, R., Leewis, M.-C., Leigh, M. B., & Uhlik, O. (2023). Legacy effects of phytoremediation on plant-associated prokaryotic communities in remediated subarctic soil. Microbiology Sepectrum, 11(2), 1-13. https://doi.org/10.1128/spectrum.04448-22
Phelps, M. P., Seeb, L. W., & Seeb, J. E. (2020). Transforming ecology and conservation biology through genome editing. Conservation Biology, 34(1), 54-65. https://doi.org/10.1111/cobi.13292
Rico, Y. (2021). A comprehensive landscape genomics approach for seed sourcing strategies in landscapes under varying degrees of habitat disturbance. Molecular ecology resources, 21(1), 14-17. https://doi.org/10.1111/1755-0998.13237
Saati-Santamaría, Z., Baroncelli, R., Rivas, R., & García-Fraile, P. (2022). Comparative genomics of the genus Pseudomonas reveals host- and environment-specific evolution. Microbiology Spectrum, 10(6), 1-15. https://doi.org/10.1128/spectrum.02370-22
Sasaki, T., Furukawa, T., Iwasaki, Y., Seto, M., & Mori, A. S. (2015). Perspectives for ecosystem management based on ecosystem resilience and ecological thresholds against multiple and stochastic disturbances. Ecological Indicators, 57, 395-408. https://doi.org/10.1016/j.ecolind.2015.05.019
Song, B. H., & Mitchell-Olds, T. (2011). Evolutionary and ecological genomics of non-model plants. Journal of Systematics and Evolution, 49(1), 17-24. https://doi.org/10.1111/j.1759-6831.2010.00111.x
Stec, K. F., Caputi, L., Buttigieg, P. L., D’Alelio, D., Ibarbalz, F. M., Sullivan, M. B., Chaffron, S., Bowler, C., Ribera d’Alcalà, M., & Iudicone, D. (2017). Modelling plankton ecosystems in the meta-omics era. Are we ready? Marine Genomics, 32, 1-17. https://doi.org/10.1016/j.margen.2017.02.006
Ungerer, M. C., Johnson, L. C., & Herman, M. A. (2008). Ecological genomics: Understanding gene and genome function in the natural environment. Heredity, 100(2), 178-183. https://doi.org/10.1038/sj.hdy.6800992
Van der Heyde, M., Bunce, M., Dixon, K., Wardell-Johnson, G., White, N. E., & Nevill, P. (2020). Changes in soil microbial communities in post mine ecological restoration: Implications for monitoring using high throughput DNA sequencing. Science of the Total Environment, 749, 142262. https://doi.org/10.1016/j.scitotenv.2020.142262
Walters, S. J., Robinson, T. P., Byrne, M., & Nevill, P. (2022). Seed sourcing in the genomics era: multispecies provenance delineation for current and future climates. Restoration Ecology, 30(S1), 1-14. https://doi.org/10.1111/rec.13718
Webster, M. T., Beaurepaire, A., Neumann, P., & Stolle, E. (2023). Population genomics for insect conservation. Annual Review of Animal Biosciences, 11, 115-140. https://doi.org/10.1146/annurev-animal-122221-075025
Wood, G., Marzinelli, E. M., Vergés, A., Campbell, A. H., Steinberg, P. D., & Coleman, M. A. (2020). Using genomics to design and evaluate the performance of underwater forest restoration. Journal of Applied Ecology, 57(10), 1988-1998. https://doi.org/10.1111/1365-2664.13707
Wright, A. L., Anson, J. R., Leo, V., Wright, B. R., Newsome, T. M., & Grueber, C. E. (2022). Urban restoration of common species: population genetics of reintroduced native bush rats Rattus fuscipes in Sydney, Australia. Animal Conservation, 25(6), 825-836. https://doi.org/10.1111/acv.12787
Xie, Z., Li, X., Jiang, D., Lin, S., Yang, B., & Chen, S. (2019). Threshold of island anthropogenic disturbance based on ecological vulnerability Assessment. A case study of Zhujiajian Island. Ocean and Coastal Management, 167, 127-136. https://doi.org/10.1016/j.ocecoaman.2018.10.014
