Líneas de Investigación
Mi investigación se centra en entender la arquitectura genética de características complejas y cómo estas varían entre individuos, tanto dentro de una población como entre poblaciones. Esta comprensión nos permite identificar los factores genéticos y ambientales que influyen en la expresión de rasgos complejos y su variación, lo que puede tener implicaciones significativas en diversas áreas del conocimiento. En colaboración con grupos de investigación nacionales e internacionales, buscamos descubrir patrones y mecanismos subyacentes que puedan explicar la variabilidad fenotípica y su impacto en la adaptación de los organismos a sus entornos cambiantes.
Mi proyecto principal de investigación (en curso) examina las interacciones entre el genotipo y el ambiente, centrándose en la diversidad de la producción y calidad de compuestos bioactivos foliares, mediante tecnologías multiómicas. Este enfoque nos permite identificar genes candidatos asociados a características complejas, y desarrollar estrategias de mejoramiento selectivo que maximicen la productividad y sustentabilidad de los recursos naturales. Al mejorar la calidad y el valor de los compuestos bioactivos, así como otros rasgos de interés, se potencian las aplicaciones prácticas en campos como la medicina, la nutrición y la biotecnología, brindando beneficios significativos para la sociedad en su conjunto.
Mora-Poblete, F., Mieres-Castro, D., Amaral Júnior, A.T., Balach, M., Maldonado, C. (2024) Integrating deep learning for phenomic and genomic predictive modeling of Eucalyptus trees. Industrial Crops and Products. Indcro-D-23-07959. IF 5.9. Q1
Mora-Poblete, F., Maldonado, C., Henrique, L., Uhdre, R., Scapim, C. A., & Mangolim, C. A. (2023). Multi-trait and multi-environment genomic prediction for flowering traits in maize: a deep learning approach. Frontiers in Plant Science, 14. IF 5.6. Q1
Anjos, I. V. D., Ali, M., Mora-Poblete, F., Araujo, K. L., Gilio, T. A. S., & Neves, L. G. (2023). Application of Near-Infrared Reflectance Spectroscopy for Predicting Damage Severity in a Diverse Panel of Tectona grandis Caused by Ceratocystis fimbriata. Plants, 12(14), 2734. IF 4.5. Q1
Santos, T. D. O., Amaral Junior, A. T. D., Bispo, R. B., Bernado, W. D. P., Simão, B. R., de Lima, V. J., … & Cruz, C. D. (2023). Exploring the Potential of Heterosis to Improve Nitrogen Use Efficiency in Popcorn Plants. Plants, 12(11), 2135. IF 4.5. Q1
Solanki, M. K., Verma, K. K., Dastogeer, K. M., Mora-Poblete, F., & Mundra, S. (2023). Microbial resilience in plant nutrient management towards sustainable farming. Frontiers in Microbiology, 14, 1280811. IF 5.2. Q2
Ovando-Mena, S., Mora-Poblete, F., Santelices-Moya, R., Palacios-Rojas, C., & Cabrera-Ariza, A. M. (2023). Exploring the Spatial Dynamics of Endangered Nothofagus alesandrii and Its Relationship with Geomorphometric Variables and Native Tree Species in a Stand of Its Northern Distribution. Forests, 14(6), 1128. IF 2.9. Q1
Ballesta, P.; Maldonado, C.; Mora-Poblete, F.; Mieres-Castro, D.; del Pozo, A.; Lobos, G.A. 2023. Spectral-Based Classification of Genetically Differentiated Groups in Spring Wheat Grown under Contrasting Environments. Plants 12, 440. IF 4.5. Q1
Mieres-Castro, D.; Mora-Poblete, F. 2023. Saponins: Research Progress and Their Potential Role in the Post-COVID-19 Pandemic Era. Pharmaceutics 15, 348. IF 5.4. Q1
Heidari, P.; Hasanzadeh, S.; Faraji, S.; Ercisli, S.; Mora-Poblete, F. 2023. Genome-Wide Characterization of the Sulfate Transporter Gene Family in Oilseed Crops: Camelina sativa and Brassica napus. Plants 12, 628. IF 4.5. Q1
Estrada, F., Flexas, J., Araus, J. L., Mora-Poblete, F., Gonzalez-Talice, J., Castillo, D., … & Lobos, G. A. (2022). Exploring plant responses to abiotic stress by contrasting spectral signature changes. Frontiers in Plant Science, 13. IF 5.6. Q1
Riaz M, Zhao S, Kamran M, Ur Rehman N, Mora-Poblete F, Maldonado C, Hamzah Saleem M, Parveen A, Ahmed Al-Ghamdi A, Al-Hemaid FM, Ali S and Elshikh MS. 2022. Effect of nano-silicon on the regulation of ascorbate-glutathione contents, antioxidant defense system and growth of copper stressed wheat (Triticum aestivum L.) seedlings. Front. Plant Sci. 13:986991. IF 5.6. Q1
Heidari, P., Puresmaeli, F., Mora-Poblete, F. 2022. Genome-wide identification and molecular evolution of the Magnesium Transporter (MGT) gene family in Citrullus lanatus and Cucumis sativus. Agronomy, 12(10), 2253. IF 3.7. Q1
Maldonado, C.; Mora-Poblete, F.*; Echeverria, C.; Baettig, R.; Torres-Díaz, C.; Contreras-Soto, R.I.; Heidari, P.; Lobos, G.A.; do Amaral Júnior, A.T. 2022. A Neural Network-Based Spectral Approach for the Assignment of Individual Trees to Genetically Differentiated Subpopulations. Remote Sensing 14, 2898. IF 5.349. Q1
Contreras-Soto RI, Zacarias Rafael D, Domingos Moiana L, Maldonado C and Mora-Poblete F.* 2022. Variation in Root-Related Traits Is Associated with Water Uptake in Lagenaria siceraria Genotypes Under Water-Deficit Conditions. Frontiers in Plant Science 13:897256. IF 5.6. Q1
Ballesta P, Ahmar S, Lobos GA, Mieres-Castro D, Jiménez-Aspee F and Mora-Poblete F.* 2022. Heritable Variation of Foliar Spectral Reflectance Enhances Genomic Prediction of Hydrogen Cyanide in a Genetically Structured Population of Eucalyptus. Frontiers in Plant Science. 13:871943. IF 5.6. Q1
Heidari, P., Puresmaeli, F., & Mora-Poblete, F*. 2022. Genome-wide identification and molecular evolution of the Magnesium Transporter (MGT) gene family in Citrullus lanatus and Cucumis sativus. Agronomy, 12(10), 2253. IF 3.949. Q1
Mieres-Castro, D.; Ahmar, S.; Shabbir, R.; Mora-Poblete, F*. 2021. Antiviral Activities of Eucalyptus Essential Oils: Their Effectiveness as Therapeutic Targets against Human Viruses. Pharmaceuticals, 14, 1210. IF 4.6. Q2
Mora‐Poblete, F*., Ballesta, P., Lobos, G. A., Molina‐Montenegro, M., Gleadow, R., Ahmar, S., Jiménez‐Aspee, F. 2021. Genome‐wide association study of cyanogenic glycosides, proline, sugars, and pigments in Eucalyptus cladocalyx after 18 consecutive dry summers. Physiologia Plantarum, 172(3), 1550-1569. IF 6.4. Q1
Altaf, M. A., Shahid, R., Ren, M. X., Mora‐Poblete, F., Arnao, M. B., Naz, S., … & Chen, J. T. (2021). Phytomelatonin: An overview of the importance and mediating functions of melatonin against environmental stresses. Physiologia Plantarum, 172(2), 820-846. IF 6.4. Q1
Ahmar, S., Ballesta, P., Ali, M., Mora-Poblete, F.* 2021. Achievements and Challenges of Genomics-Assisted Breeding in Forest Trees: From Marker-Assisted Selection to Genome Editing. International Journal of Molecular Sciences, 22(19), 10583. IF: 6.208. Q1
Valenzuela, C. E., Ballesta, P., Ahmar, S., Fiaz, S., Heidari, P., Maldonado, C., Mora-Poblete, F.* 2021. Haplotype-and SNP-Based GWAS for Growth and Wood Quality Traits in Eucalyptus cladocalyx Trees under Arid Conditions. Plants 10(1), 148. IF 4.5. Q1
Delgado, C., Mora-Poblete, F., Ahmar, S., Chen, J. T., Figueroa, C. R. 2021. Jasmonates and Plant Salt Stress: Molecular Players, Physiological Effects, and Improving Tolerance by Using Genome-Associated Tools. International Journal of Molecular Sciences, 22(6), 3082. IF: 6.208. Q1
Zacarias Rafael, D., Arriagada, O., Toro, G., Mashilo, J., Mora-Poblete, F., Contreras-Soto, R. I. 2020. Plasticity of the Root System Architecture and Leaf Gas Exchange Parameters Are Important for Maintaining Bottle Gourd Responses under Water Deficit. Plants, 9(12), 1697. IF 4.5. Q1
Maldonado C, Mora-Poblete F*, Contreras-Soto R, Ahmar S, Chen JT. 2020. Genome-wide prediction of complex traits in two outcrossing plant species through Deep Learning and Bayesian Regularized Neural Network. Frontiers in Plant Science 11:1734. IF 6.627. Q1
Mahmood, T.; Abdullah, M.; Ahmar, S.; Yasir, M.; Iqbal, M.S.; Yasir, M.; Ur Rehman, S.; Ahmed, S.; Rana, R.M.; Ghafoor, A.; Nawaz Shah, M.K.; Du, X.; Mora-Poblete, F.* 2020. Incredible Role of Osmotic Adjustment in Grain Yield Sustainability under Water Scarcity Conditions in Wheat (Triticum aestivum L.). Plants, 9:1208. IF 4.5. Q1
Kamphorst SH, Amaral Júnior ATd, de Lima VJ, Santos PHAD, Rodrigues WP, Vivas JMS, Gonçalves GMB, Schmitt KFM, Leite JT, Vivas M, Mora-Poblete F, Vergara-Díaz O, Araus Ortega JL, Ramalho JC, Campostrini E. 2020. Comparison of Selection Traits for Effective Popcorn (Zea mays L. var. Everta) Breeding Under Water Limiting Conditions. Frontiers in Plant Science 11:1289. IF 6.627. Q1
Santos, A.; Amaral Júnior, A.T.; Kamphorst, S.H.; Gonçalves, G.M.B.; Santos, P.H.A.D.; Vivas, J.M.S.; Mafra, G.S.; Khan, S.; Oliveira, F.T.; Schmitt, K.F.M.; Santos Junior, D.R.; Mora, F. 2020. Evaluation of Popcorn Hybrids for Nitrogen Use Efficiency and Responsiveness. Agronomy 10:485. IF 3.949. Q1
Ballesta P, Maldonado C, Pérez-Rodríguez P, Mora F. 2019. SNP and haplotype-based genomic selection of quantitative traits in Eucalyptus globulus. Plants, 8, 331. IF 4.5. Q1
Mafra GS, Do Amaral Junior AT, De Almeida Filho JE, Vivas M, Santos PHAD, Santos JS, Pena GF, De Lima VJ, Kamphorst SH, De Oliveira FT, De Souza YP, Schwantes IA, Santos TO, Bispo RB, Maldonado C, Mora F. 2019. SNP-based mixed model association of growth- and yield-related traits in popcorn. Plos one, 14(6), e0218552. IF 3.752. Q2
Maldonado C, Mora F*, Scapim CA, Coan M. 2019. Genome-wide haplotype-based association analysis of key traits of plant lodging and architecture of maize identifies major determinants for leaf angle: hapLA4. PLoS ONE 14(3): e0212925. IF 3.752. Q2
Mora F, Zúñiga PE, Figueroa CR. 2019. Genetic variation and trait correlations for fruit weight, firmness and color parameters in wild accessions of Fragaria chiloensis. Agronomy 9, 506. IF 3.949. Q1
Valenzuela CE, Ballesta P, Maldonado C, Baettig R, Arriagada O, Sousa Mafra G, Mora F.* 2019. Bayesian mapping reveals large-effect pleiotropic QTLs for wood density and slenderness index in 17-year-old trees of Eucalyptus cladocalyx. Forests 10, 241. IF 3.282. Q1
Maldonado C, Mora F*, Bertagna FAB, Kuki MC, Scapim CA. 2019. SNP- and haplotype-based GWAS of flowering-related traits in maize with network-assisted gene prioritization. Agronomy 9, 725. IF 3.949. Q1
FONDECYT regular 1231681 (2023-2026). Towards omics-assisted breeding of Eucalyptus essential oils under contrasting rainfall conditions, and transcriptional regulation of terpene-related genes in response to water deficit. Investigador Principal.
FONDECYT regular 1201973 (2020-2023). High-throughput phenotyping and genomic-assisted breeding: integrating approaches to accurately dissect the genetic architecture and predict complex polygenic traits in eucalyptus. Investigador Principal.
FONDECYT regular 1170695 (2017-2020). Genomic prediction for complex traits in Eucalyptus: genomic-assisted tree improvement using genome-wide molecular marker information. Investigador Principal.
FONDECYT regular 1130306 (2013-2017). Marker-trait associations, population structure and genetic evaluation of Eucalyptus cladocalyx under arid environmental conditions. Investigador Principal.
FONDECYT 11090129 (2009-2011) Bayesian prediction of genetic parameters in Eucalyptus cladocalyx: breeding for flowering intensity, and its impact on survival, early flowering and growth. Investigador Principal.
FONDECYT postdoctoral 3220576 (2022-2025). Variabilidad genómica asociada al contenido de compuestos bioactivos presentes en el aceite esencial de Eucalyptus globulus: énfasis en la mejora genética basada en su potencial fitofarmacológico. Proyecto postdoctorado: Dr. Daniel Mieres Castro. Investigador Patrocinante.
FONDECYT regular 1201740 (2020-2024). Molecular-ecological and genetic mechanisms underlying the phenotypic plasticity of Populus nigra in Chile. Analysis of the development of semi-evergreen individuals. Co-investigador.
FONDECYT regular 1181873 (2018-2022). Assessing the resilience of the endangered endemic tree Nothofagus alessandrii to anthropogenic habitat fragmentation: from reproductive ecology to landscape genetics. Co-investigador.
FONDATION FRANKLINIA – Suiza (2022-2025). Conserving and restoring the threatened Nothofagus species in South America. Universidad de Concepción (PI: Dr. Cristian Echeverria) y otras instituciones, incluyendo Botanic Gardens Conservation International (NGO). Co-investigador.
CNPq – Brazil (2022-2024). Estudio de herencia e identificación de genes candidatos para la eficiencia del uso de nitrógeno en maíz por RNAseq de genotipos en ambientes contrastantes para estrés abiótico. Universidade Estadual do Norte Fluminense. Co-investigador.
FAPEMAT Nº 004/2021 (2021-2023). Desarrollo forestal: mejoramiento genético de Teca basado en amplitud bioeconómica. Universidade do Estado de Mato Grosso (UNEMAT). Co-investigador.
CNPq – Brazil (2016-2019). Proteomic differential and inheritance of water deficit tolerance in popcorn. State University of Northern Rio de Janeiro. Co-investigador
COODETEC – Dow Agrosciences – Brazil (2016-2019). Gene and QTL mapping by linkage disequilibrium in wheat. Co-investigador.
COODETEC – Brasil (2012-2013). Análise genômica-bayesiana de loci de características quantitativas (QTL) em populações avançadas de melhoramento (RILs) de soja. Co-investigador.
UEM – Brasil (2010-2013). Mapeamento de QTL’s para capacidade de expansão em milho pipoca via inferência Bayesiana. Universidade Estadual de Maringá. Co-investigador.
USM – University Sains Malaysia (2008-2009). Postdoctoral project: Statistical modeling associated to plant breeding. Investigador postdoctoral.