Systematic prediction of genes functionally associated with bacterial retrons and classification of the encoded tripartite systems

We thank all members of the NTG laboratory for helpful discussions during the development of this project. We acknowledge support of the publication fee by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI).Supplementary Data are available at NAR Online: https://academic.oup.com/nar/article-lookup/doi/10.1093/nar/gkaa1149#supplementary-dataBacterial retrons consist of a reverse transcriptase (RT) and a contiguous non-coding RNA (ncRNA) gene. One third of annotated retrons carry additional open reading frames (ORFs), the contribution and significance of which in retron biology remains to be determined. In this study we developed a computational pipeline for the systematic prediction of genes specifically associated with retron RTs based on a previously reported large dataset representative of the diversity of prokaryotic RTs. We found that retrons generally comprise a tripartite system composed of the ncRNA, the RT and an additional protein or RT-fused domain with diverse enzymatic functions. These retron systems are highly modular, and their components have coevolved to different extents. Based on the additional module, we classified retrons into 13 types, some of which include additional variants. Our findings provide a basis for future studies on the biological function of retrons and for expanding their biotechnological applications.Spanish Ministerio de Ciencia, Innovacion y UniversidadesEuropean Commission BIO2017-82244-PFPU predoctoral fellowship grant from the Ministerio de Economia y Competitividad FPU15/02714FPU predoctoral fellowship grant from the Ministerio de Ciencia, Innovacion y Universidades FPU17/0508

Genome Sequence of Bradyrhizobium japonicum E109, One of the Most Agronomically Used Nitrogen-Fixing Rhizobacteria in Argentina

We present here the complete genome sequence of Bradyrhizobium japonicum strain E109, one of the most used rhizobacteria for soybean inoculation in Argentina since the 1970s. The genome consists of a 9.22-Mbp single chromosome and contains several genes related to nitrogen fixation, phytohormone biosynthesis, and a rhizospheric lifestyle.Fil: Torres, Daniela Soledad. Universidad Nacional de Rio Cuarto; ArgentinaFil: Revale, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Agrobiotecnología de Rosario; ArgentinaFil: Obando, Melissa. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Departamento de Cs.naturales. Laboratorio de Fisiologia Vegetal y de la Interaccion Planta-microorganismo; ArgentinaFil: Maroniche, Guillermo Andres. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigación de Ciencias Veterinarias y Agronómicas. Instituto de Microbiología y Zoología Agrícola; ArgentinaFil: Paris, Gastón. Fundación Instituto Leloir; ArgentinaFil: Perticari, Alejandro. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigación de Ciencias Veterinarias y Agronómicas. Instituto de Microbiología y Zoología Agrícola; ArgentinaFil: Vazquez, Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Agrobiotecnología de Rosario; ArgentinaFil: Wisniewsk Dyé, Florence. Universite Lyon 2; FranciaFil: Martínez Abarca Pastor, Francisco. Consejo Superior de Investigaciones Científicas. Estación Experimental del Zaidin; EspañaFil: Cassan, Fabricio Dario. Universidad Nacional de Rio Cuarto; Argentin

El derecho de acceso a la información pública: Actas del Seminario Internacional Complutense, Madrid, 27-28 junio 2007

Sección Deptal. de Derecho Constitucional (Ciencias de la Información)Fac. de Ciencias de la InformaciónTRUEpu