Nitrogen fertilizer application alters the root endophyte bacterial microbiome in maize plants, but not in the stem or rhizosphere soil

Alejandra Miranda Carrazco Yendi Navarro-Noya Bram Govaerts Nele Verhulst Luc Dendooven (2022, [Artículo])

Plant-associated microorganisms that affect plant development, their composition, and their functionality are determined by the host, soil conditions, and agricultural practices. How agricultural practices affect the rhizosphere microbiome has been well studied, but less is known about how they might affect plant endophytes. In this study, the metagenomic DNA from the rhizosphere and endophyte communities of root and stem of maize plants was extracted and sequenced with the “diversity arrays technology sequencing,” while the bacterial community and functionality (organized by subsystems from general to specific functions) were investigated in crops cultivated with or without tillage and with or without N fertilizer application. Tillage had a small significant effect on the bacterial community in the rhizosphere, but N fertilizer had a highly significant effect on the roots, but not on the rhizosphere or stem. The relative abundance of many bacterial species was significantly different in the roots and stem of fertilized maize plants, but not in the unfertilized ones. The abundance of N cycle genes was affected by N fertilization application, most accentuated in the roots. How these changes in bacterial composition and N genes composition might affect plant development or crop yields has still to be unraveled.

Bacterial Community Structure DArT-Seq Bacterial Community Functionality Genes Involved in N Cycling CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRICULTURAL PRACTICES MAIZE RHIZOSPHERE STEMS NITROGEN FERTILIZERS

Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments

Rodomiro Ortiz Paulino Pérez-Rodríguez Osval Antonio Montesinos-Lopez Jose Crossa (2023, [Artículo])

Potato Traits Cross-Validation Breeding Data CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA LEAST SQUARES METHOD POTATOES ENVIRONMENT PLANT BREEDING

Bacterial communities in the rhizosphere at different growth stages of maize cultivated in soil under conventional and conservation agricultural practices

Yendi Navarro-Noya Bram Govaerts Nele Verhulst Luc Dendooven (2022, [Artículo])

Farmers in Mexico till soil intensively, remove crop residues for fodder and grow maize often in monoculture. Conservation agriculture (CA), including minimal tillage, crop residue retention and crop diversification, is proposed as a more sustainable alternative. In this study, we determined the effect of agricultural practices and the developing maize rhizosphere on soil bacterial communities. Bulk and maize (Zea mays L.) rhizosphere soil under conventional practices (CP) and CA were sampled during the vegetative, flowering and grain filling stage, and 16S rRNA metabarcoding was used to assess bacterial diversity and community structure. The functional diversity was inferred from the bacterial taxa using PICRUSt. Conservation agriculture positively affected taxonomic and functional diversity compared to CP. The agricultural practice was the most important factor in defining the structure of bacterial communities, even more so than rhizosphere and plant growth stage. The rhizosphere enriched fast growing copiotrophic bacteria, such as Rhizobiales, Sphingomonadales, Xanthomonadales, and Burkholderiales, while in the bulk soil of CP other copiotrophs were enriched, e.g., Halomonas and Bacillus. The bacterial community in the maize bulk soil resembled each other more than in the rhizosphere of CA and CP. The bacterial community structure, and taxonomic and functional diversity in the maize rhizosphere changed with maize development and the differences between the bulk soil and the rhizosphere were more accentuated when the plant aged. Although agricultural practices did not alter the effect of the rhizosphere on the soil bacterial communities in the flowering and grain filling stage, they did in the vegetative stage.

Community Assembly Functional Diversity Intensive Agricultural Practices Plant Microbiome CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SUSTAINABLE AGRICULTURE TILLAGE SOIL BACTERIA MAIZE

Establishment of heterotic groups for hybrid wheat breeding

Yunbi Xu (2022, [Artículo])

Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE CROPS FORECASTING PLANTS COMBINING ABILITY HETEROSIS HETEROTIC GROUPS MALE INFERTILITY PLANT HEIGHT WHEAT

Mapping QTL for phenological and grain-related traits in a mapping population derived from high-zinc-biofortified wheat

Gopalareddy Krishnappa Govindan Velu (2023, [Artículo])

DArT-Seq Gene Mapping Yield Component Traits CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT QUANTITATIVE TRAIT LOCI CANDIDATE GENES QUANTITATIVE TRAIT LOCI MAPPING YIELD COMPONENTS BIOFORTIFICATION

QTL cluster analysis and marker development for kernel traits based on DArT markers in spring bread wheat (Triticum aestivum L.)

CAIXIA LAN Ravi Singh (2023, [Artículo])

QTL mapping Kernel-Related Traits Putative Candidate Gene KASP Markers CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA KERNELS QUANTITATIVE TRAIT LOCI MAPPING TRITICUM AESTIVUM SINGLE NUCLEOTIDE POLYMORPHISM

Genetic structure analysis and identifying key founder inbred lines in diverse elite sub-tropical maize inbred lines

Melaku Gedil Ana Luisa Garcia-Oliveira Nnanna Unachukwu Cesar Petroli Sarah Hearne Abebe Menkir (2023, [Artículo])

Genetic Relationship Desirable Target Traits Parental Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC STRUCTURES INBRED LINES MAIZE BREEDING PROGRAMMES

Salivary effector Sm9723 of grain aphid sitobion miscanthi suppresses plant defense and is essential for aphid survival on wheat

Yong Zhang Leonardo Abdiel Crespo Herrera Julian Chen (2022, [Artículo])

Cereal Aphid Salivary Protein Plant Immunity RNA Interference Aphid Performance CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA APHIDOIDEA PLANTS RNA PROTEINS

La Funcionalidad Física Arrecifal, indicador de la diversidad funcional en ensamblajes de peces de arrecifes en el Parque Nacional Islas Marietas, Nayarit, México

Reef Physical Functionality, indicator of functional diversity on reef fishes assemblages from Islas Marietas National Park, Nayarit, Mexico

Luis Mario Montalvo Jaramillo (2023, [Tesis de maestría])

La ecología funcional se basa en el uso de rasgos funcionales; características de las especies (morfológicas, fisiológicas, comportamiento) medidas a nivel individual que influencian el rendimiento de una especie, siendo de gran utilidad para determinar cambios dentro del ecosistema. El presente trabajo busca evaluar la funcionalidad física como indicador de disponibilidad de hábitat de peces y su relación con la diversidad funcional. La funcionalidad física del arrecife se evaluó mediante el IFA integrando datos de cobertura coralina, complejidad estructural y tasa de calcificación. La estructura de los ensamblajes de peces se analizó mediante el cálculo de índices de diversidad funcional (riqueza, equitatividad y divergencia) con base en cuatro rasgos funcionales (tamaño corporal, movilidad, tipo de agregación y dieta). La relación entre la diversidad funcional del ensamblaje y el IFA se evaluó mediante un análisis de regresión lineal. El IFA fue influenciado de manera positiva por la presencia Pocilloporidos al generar un mayor aporte a la funcionalidad física (FF) y consecuentemente, una mayor provisión de hábitat. Por el contrario, el IFA disminuyó con la presencia de Porites panamensis debido a su baja tasa de calcificación.La diversidad funcional de los ensamblajes no presentó variaciones temporales, atribuible a una baja variabilidad entre los sitios debido a una alta cercanía, baja variacion batimétrica y alta conectividad. La relación entre el IFA y la riqueza funcional de los ensamblajes se atribuye a que sitios con mayor funcionalidad física otorgan disponibilidad de hábitat y refugio contra la depredación a especies crípticas, de talla pequeña y juveniles; ya que, especies de este tipo se asocian a hoyos similares a su tamaño corporal y la supervivencia de las mismas aumenta en sustratos más complejos.

Functional diversity it’s based on functional traits; characteristics of species (morphological, physiological, behavior) measured at individual level that impact their performance and have great utility to determine changes within the ecosystem. This work aims to evaluate physical functionality as indicator of fish habitat availability and its relationship with functional diversity. The physical functionality of the reef was evaluated using the RFI, integrating data on coral cover, structural complexity, and calcification rate. The structure of the fish assemblages was analyzed by calculating functional diversity index (richness, evenness, and divergence) based on four functional traits (body size, mobility, type of aggregation and diet). The relationship between functional diversity and RFI was evaluated using linear regression analysis. The RFI was influenced on positive way for the presence of Pocilloporids due to the great contribution to physical functionality (PF) creating more habitat availability. For the other hand, the RFI was influenced on negative way for the presence of Porites panamensis due their low calcification rate. The functional diversity of the assemblages did not present temporal variations, attributable to a low variability between the sites due high proximity, low bathymetric variation and high connectivity. The relationship between RFI and the functional richness of the assemblages is attributed to fact that sites with greater physical functionality provide more availability of habitat and refuge against predation to cryptic, small and juvenile species; species of this type are associate with holes similar to their body size and their survival increases in more complex substrates.

Pacífico Méxicano, Índice de Función Arrecifal, Diversidad Funcional, Arrecife Reef, Functional Diversity, Reef Functional Index, Mexican Pacific BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA OTRAS ESPECIALIDADES DE LA BIOLOGÍA OTRAS OTRAS

Using an incomplete block design to allocate lines to environments improves sparse genome-based prediction in plant breeding

Osval Antonio Montesinos-Lopez ABELARDO MONTESINOS LOPEZ RICARDO ACOSTA DIAZ Rajeev Varshney Jose Crossa ALISON BENTLEY (2022, [Artículo])

Genomic selection (GS) is a predictive methodology that trains statistical machine-learning models with a reference population that is used to perform genome-enabled predictions of new lines. In plant breeding, it has the potential to increase the speed and reduce the cost of selection. However, to optimize resources, sparse testing methods have been proposed. A common approach is to guarantee a proportion of nonoverlapping and overlapping lines allocated randomly in locations, that is, lines appearing in some locations but not in all. In this study we propose using incomplete block designs (IBD), principally, for the allocation of lines to locations in such a way that not all lines are observed in all locations. We compare this allocation with a random allocation of lines to locations guaranteeing that the lines are allocated to

the same number of locations as under the IBD design. We implemented this benchmarking on several crop data sets under the Bayesian genomic best linear unbiased predictor (GBLUP) model, finding that allocation under the principle of IBD outperformed random allocation by between 1.4% and 26.5% across locations, traits, and data sets in terms of mean square error. Although a wide range of performance improvements were observed, our results provide evidence that using IBD for the allocation of lines to locations can help improve predictive performance compared with random allocation. This has the potential to be applied to large-scale plant breeding programs.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA Bayes Theorem Genome Inflammatory Bowel Diseases Models, Genetic Plant Breeding