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Adrián Andrés Morales Guadarrama (2024, [Tesis de maestría])
El ostión Magallana gigas es ampliamente cultivado a nivel mundial. En Baja California, México, los laboratorios de reproducción deben acondicionar ostiones para su maduración y producción de gametos, y abastecer de semilla a los productores. En nuestro laboratorio, Sistemas de Recirculación Acuícola (SRA), con control del sistema CO2-Carbonatos (SRA-R) o sin control (SRA-C), han permitido madurar ostiones M. gigas y M. sikamea. Recientemente, los ostiones M. gigas acondicionados en nuestros SRA no maduraron, y algunos presentaron prevalencia de polidóridos (PP), poliquetos parásitos excavadores de concha. Para comprender la condición de los ostiones, evaluamos el efecto del SRA y de la PP sobre la expresión relativa de ocho genes asociados a biomineralización (VpATP y Tyr), inmunidad innata (P38, PGRP-L y TLR2) y reproducción (GnRH-RI, Vasa-like y SP1b) de M. gigas en dos etapas del acondicionamiento, 18 °C y 24 °C. La PP se determinó por la presencia de ampollas en la concha. Mediante RT-qPCR se determinó la expresión de VpATP, Tyr, P38, PGRP-L y TLR2 en el manto, y de GnRH-RI, Vasa-like y SP1b en la gónada. La expresión relativa se evaluó con un enfoque estadístico basado en un análisis Bayesiano de dos vías y comparaciones múltiples, p-valor significativo < 0.05 y corrección de Bonferroni. En 18 °C, la expresión de VpATP, Tyr, TLR2 y P38 fue mayor en ostiones con PP (CPP) que sin PP (SPP). En contraste, la expresión de GnRH-RI, Vasa-like y SP1b fue menor CPP que SPP. Dentro del SRA-C, en los ostiones CPP hubo mayor expresión de Tyr y menor expresión de Vasa-like y SP1b, respecto a los ostiones SPP. Esto sugiere que la PP induce la reparación de la concha y las respuestas inmune e inflamatoria en el manto mientras que en la gónada reduce el desarrollo de las células germinales. En 24 °C, en el SRA-R hubo menor expresión de SP1b respecto del SRA-C y sugiere menor división celular en la gónada. En conclusión, el SRA-R y la PP afectaron el balance energético del ostión japonés, limitando la energía y reflejando menor esfuerzo reproductivo en los ostiones del SRA-R al final del acondicionamiento reproductivo.
The Japanese oyster (Magallana gigas) is highly cultured worldwide. In Baja California, Mexico, the reproduction laboratories must condition oysters to maturity and have gametes to supply oyster seeds to producers. In our laboratory, recirculating aquaculture systems (RAS), with control of the CO2-Carbonate system (RAS-R) and without this control (RAS-C), have allowed oysters M. gigas and M. sikamea to mature. Recently, the M. gigas oysters conditioned in our RAS did not mature, and some have the prevalence of Polidorids (PP), shell-boring polychaete parasites. To understand the oysters' condition, we evaluated the effect of RAS and the PP on the relative expression of eight genes associated with biomineralization (VpATP and Tyr), innate immunity (P38, PGRP-L, and TLR2), and reproduction (GnRH-RI, Vasa-like, and SP1b) of M. gigas at two phases of broodstock conditioning, 18 °C and 24 °C. The PP was determined by mud blisters at the inner oyster shell. RT-qPCR determined the expression of VpATP, Tyr, p38, PGRP-L, and TLR2 in the mantle tissue and GnRH-RI, Vasa-like, and SP1b in the gonad tissue. The relative gene expression was evaluated by a Bayesian statistics frame based on a two-way and multiple comparison analysis, with significant p-value < 0.05 and Bonferroni correction. At 18 °C, there was higher expression of VpATP, Tyr, TLR2, and P38 in oysters with PP (WPP) than without PP (WOPP). In contrast, the expression of GnRH-RI, Vasa-like, and SP1b was less WPP than WOPP. It suggests that the PP induces shell repair and immune and inflammatory responses in mantle tissue, while in gonad tissue, it reduces the development of germinal cells. At 24 °C, in RAS-R, there was less expression of SP1b respect RAS-C, and it suggests less cellular division in the gonad. In conclusion, the RAS-R and the PP affect the energetic balance of the Japanese oyster, limiting the energy and reflecting less reproduction effort in oysters from RAS-R at the end of broodstock conditioning.
SRA, biomineralización, Vasa-like, Tyr, ostión RAS, biomineralization, Vasa-like, Tyr, oyster BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA GENÉTICA CITOGENÉTICA ANIMAL CITOGENÉTICA ANIMAL
Guifang Lin Hui Chen Bin Tian Sunish Sehgal Jingzhong Xie Philomin Juliana Narinder Singh Sandesh Kumar Shrestha Ravi Singh Harold Trick Jesse Poland Robert Bowden guihua bai bikram gill (2022, [Artículo])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ALLELES CLONES GENE EXPRESSION GRASSES MUTATION RUSTS WHEAT BASIDIOMYCOTA DISEASE RESISTANCE GENETICS MOLECULAR CLONING PLANT BREEDING PLANT DISEASES
Genome-based predictions of sub-genome genetic interactions effects in wheat populations
David González-Diéguez (2023, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOMES WHEAT GENETICS MARKER-ASSISTED SELECTION GENETIC VARIANCE HYBRIDS
SERGIO GARCIA LAYNES VIRGINIA AURORA HERRERA VALENCIA Lilia Guadalupe Tamayo Torres VERONICA LIMONES BRIONES FELIPE ALONSO BARREDO POOL FRAY MARTIN BAAS ESPINOLA Ángel Gabriel Alpuche Solís CARLOS ALBERTO PUCH HAU SANTY PERAZA ECHEVERRIA (2022, [Artículo])
"WRKY transcription factors (TFs) play key roles in plant defense responses through phytohormone signaling pathways. However, their functions in tropical fruit crops, especially in banana, remain largely unknown. Several WRKY genes from the model plants rice (OsWRKY45) and Arabidopsis (AtWRKY18, AtWRKY60, AtWRKY70) have shown to be attractive TFs for engineering disease resistance. In this study, we isolated four banana cDNAs (MaWRKY18, MaWRKY45, MaWRKY60, and MaWRKY70) with homology to these rice and Arabidopsis WRKY genes. The MaWRKY cDNAs were isolated from the wild banana Musa acuminata ssp. malaccensis, which is resistant to several diseases of this crop and is a progenitor of most banana cultivars. The deduced amino acid sequences of the four MaWRKY cDNAs revealed the presence of the conserved WRKY domain of ~60 amino acids and a zinc-finger motif at the N-terminus. Based on the number of WRKY repeats and the structure of the zinc-finger motif, MaWRKY18 and MaWRKY60 belong to group II of WRKY TFs, while MaWRKY45 and MaWRKY70 are members of group III. Their corresponding proteins were located in the nuclei of onion epidermal cells and were shown to be functional TFs in yeast cells. Moreover, expression analyses revealed that the majority of these MaWRKY genes were upregulated by salicylic acid (SA) or methyl jasmonate (MeJA) phytohormones, although the expression levels were relatively higher with MeJA treatment. The fact that most of these banana WRKY genes were upregulated by SA or MeJA, which are involved in systemic acquired resistance (SAR) or induced systemic resistance (ISR), respectively, make them interesting candidates for bioengineering broad-spectrum resistance in this crop."
Banana Transcription factor WRKY Defense phytohormones Salicylic acid Methyl jasmonate SAR ISR Broad-spectrum resistance BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA GENÉTICA GENÉTICA
Maraeva Gianella Daniele Dondi Andreas Börner Anca Macovei Andrea Pagano Filippo Guzzon Alma Balestrazzi (2022, [Artículo])
Thermogravimetry CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CARBOHYDRATES PROLINE TOCOPHEROLS GENETICS PHYSIOLOGY PEAS SEEDS SUGARS DIFFERENTIAL SCANNING CALORIMETRY SEED LONGEVITY THERMOGRAVIMETRIC ANALYSIS
Efficacy of plant breeding using genomic information
Osval Antonio Montesinos-Lopez Alison Bentley Carolina Saint Pierre Leonardo Abdiel Crespo Herrera Morten Lillemo Jose Crossa (2023, [Artículo])
Genomic Selection Genomic Prediction Genomic Best Linear Unbiased Predictor CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA PLANT BREEDING GENOMICS MARKER-ASSISTED SELECTION ENVIRONMENT
Multi-environment genomic prediction of plant traits using deep learners with dense architecture
Osval Antonio Montesinos-Lopez Jose Crossa (2018, [Artículo])
Shared Data Resources Deep Learning Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ACCURACY GENOMICS NEURAL NETWORKS FORECASTING DATA MARKER-ASSISTED SELECTION
Smallholder maize yield estimation using satellite data and machine learning in Ethiopia
Zhe Guo Jordan Chamberlin Liangzhi You (2023, [Artículo])
The lack of timely, high-resolution data on agricultural production is a major challenge in developing countries where such information can guide the allocation of scarce resources for food security, agricultural investment, and other objectives. While much research has suggested that remote sensing can potentially help address these gaps, few studies have indicated the immediate potential for large-scale estimations over both time and space. In this study we described a machine learning approach to estimate smallholder maize yield in Ethiopia, using well-measured and broadly distributed ground truth data and freely available spatiotemporal covariates from remote sensing. A neural networks model outperformed other algorithms in our study. Importantly, our work indicates that a model developed and calibrated on a previous year's data could be used to reasonably estimate maize yield in the subsequent year. Our study suggests the feasibility of developing national programs for the routine generation of broad-scale and high-resolution estimates of smallholder maize yield, including seasonal forecasts, on the basis of machine learning algorithms, well-measured ground control data, and currently existing time series satellite data.
Sentinel-2 Smallholder Agriculture Yield Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA INTENSIFICATION SMALLHOLDERS AGRICULTURE YIELD FORECASTING
Xu Wang Sandesh Kumar Shrestha Philomin Juliana Suchismita Mondal Francisco Pinto Govindan Velu Leonardo Abdiel Crespo Herrera JULIO HUERTA_ESPINO Ravi Singh Jesse Poland (2023, [Artículo])
New Crop Varieties Plant Breeding Programs Yield Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA LEARNING GRAIN YIELDS WHEAT BREEDING FOOD SECURITY
Multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits
Osval Antonio Montesinos-Lopez Jose Crossa Francisco Javier Martin Vallejo (2018, [Artículo])
Deep Learning Genomic Prediction Bayesian Modeling Shared Data Resources CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BAYESIAN THEORY RESOURCES DATA BREEDING PROGRAMMES