Publications

3806

El cultivo de papa representa en nuestro país una fuente de divisas y genera gran cantidad de empleos. Hasta la fecha no existe un estudio formal sobre la fluctuación poblacional de Bactericera cockerelli y Candidatus liberibacter. Este estudio se realizó con el propósito de determinar la dinámica poblacional de Bactericera cockerelli y la incidencia de Candidatus liberibacter en papa, el cual se llevó a cabo en los municipios Jinotega, La Concordia, San Rafael del Norte y Yalí, del departamento de Jinotega, en el periodo comprendido de febrero a septiembre del 2014.  El levantamiento de datos se desarrolló en 4 fincas de papa. En cada finca se ubicaron 30 trampas amarillas pegajosas y 30 estaciones para el muestreo visual. Los insectos Bactericera cockerelli encontrados, así como los síntomas de la enfermedad detectados en campo, se identificaron con ayuda de la guía temática utilizada por los especialistas fitosanitarios del Instituto de Protección y Sanidad Agropecuaria (IPSA). Se evaluó el número de insectos capturados en las trampas amarillas y el númede insectos observados, el número de plantas con síntomas de Candidatus liberibacter y la incidencia de daño en tubérculos en las fincas de papa. De acuerdo a los resultados obtenidos se demostró que las poblaciones de Bactericera cockerelli se presentaron en papa, desde marzo 14 hasta mayo 23, con el máximo pico poblacional abril 25, en el ciclo de primera y de junio 23 hasta septiembre 02, con el máximo pico poblacional en julio 22, en el ciclo de postrera; la incidencia de Candidatus liberibacter en papa fue mayor en el ciclo de primera que en postrera y la incidencia de Candidatus liberibacter en tubérculos fue mayor en la finca Buenos Aires con 72%, El Aguacate 1 presentó 32%, Las Piedras 23% y El Aguacate 2, 16%.

AbstractNatural microbial communities are phylogenetically and metabolically diverse. In addition to underexplored organismal groups1, this diversity encompasses a rich discovery potential for ecologically and biotechnologically relevant enzymes and biochemical compounds2,3. However, studying this diversity to identify genomic pathways for the synthesis of such compounds4 and assigning them to their respective hosts remains challenging. The biosynthetic potential of microorganisms in the open ocean remains largely uncharted owing to limitations in the analysis of genome-resolved data at the global scale. Here we investigated the diversity and novelty of biosynthetic gene clusters in the ocean by integrating around 10,000 microbial genomes from cultivated and single cells with more than 25,000 newly reconstructed draft genomes from more than 1,000 seawater samples. These efforts revealed approximately 40,000 putative mostly new biosynthetic gene clusters, several of which were found in previously unsuspected phylogenetic groups. Among these groups, we identified a lineage rich in biosynthetic gene clusters (‘Candidatus Eudoremicrobiaceae’) that belongs to an uncultivated bacterial phylum and includes some of the most biosynthetically diverse microorganisms in this environment. From these, we characterized the phospeptin and pythonamide pathways, revealing cases of unusual bioactive compound structure and enzymology, respectively. Together, this research demonstrates how microbiomics-driven strategies can enable the investigation of previously undescribed enzymes and natural products in underexplored microbial groups and environments.

Abstract Background In addition to Mycoplasma haemocanis and Candidatus Mycoplasma haematoparvum, a few hemoplasma species that mainly infect other livestock have been detected in dogs. ‘Candidatus Mycoplasma haemobos’ (Ca. M. haemobos) has been found in a variety of animals in China. The present study was aimed to investigate the occurrence of ‘Ca. M. haemobos’ infections in dogs and ticks collected from the Henan province, China. Results Overall, 55 dog blood samples and 378 ticks on skins were collected from anemic and healthy dogs, and these samples were subjected to PCR, sequence analysis, and identification. The results showed that Haemaphysalis longicornis (266) and Rhipicephalus (Boophilus) microplus (112) were the only two parasitic ticks on dogs. Molecular detection revealed that 163 M. haemocanis, 88 ‘Ca. M. haemobos’ and 32 Anaplasma platys positive amplicons could be amplified from dogs, H. longicornis and R. (B.) microplus. In addition, co-infections (M. haemocanis + A. platys and ‘Ca. M. haemobos’+ A. platys) could be also detected. Conclusions To the best of our knowledge, this is the first molecular evidence of ‘Ca. M. haemobos’ natural infection in dogs and tick species identified as H. longicornis and R. (B.) microplus from China.

‘Candidatus Phytoplasma pruni’ infection in cherries causes small, misshapen fruit with poor color and taste, rendering the fruit unmarketable. However, this is a disease with a long development cycle and a scattered, nonuniform symptom distribution in the early stages. To better understand the biology as well as the relationship between pathogen titer and disease expression, we carried out seasonal, spatial, and temporal examinations of ‘Ca. P. pruni’ titer and distribution in infected orchard-grown trees. Sequential sampling of heavily infected trees revealed marked seasonal patterns, with differential accumulation in woody stem and leaf tissues and, most notably, within fruit in the early stages of development from bloom to pit hardening. Furthermore, mapping phytoplasma distribution and titer in trees at different stages of infection indicated that infection proceeds through a series of stages. Initially, infection spreads basipetally and accumulates in the roots before populating aerial parts of the trees from the trunk upward, with infection of specific tissues and limbs followed by an increasing phytoplasma titer. Finally, we observed a correlation between phytoplasma titer and symptom severity, with severe symptom onset associated with three to four orders of magnitude more phytoplasma than mild symptoms. Cumulatively, these data aid in accurate sampling and management decision-making and furthers our understanding of disease development.