Functional characterization of Rhizobium leguminosarum bv. viciae DmeRF, a cation diffusion facilitator system involved in nickel and cobalt resistance

In prokaryotes, nickel is an essential element participating in the structure of enzymes involved in multiple cellular processes. Nickel transport is a challenge for microorganisms since, although essential, high levels of this metal inside the cell are toxic. For this reason, bacteria have developed high-affinity nickel transporters as well as nickel-specific detoxification systems. Ultramafic soils, and soils contaminated with heavy metals are excellent sources of nickel resistant bacteria. Molecular analysis of strains isolated in the habitats has revealed novel genetic systems involved in adaptation to such hostile conditions.

Enhancing iDynoMiCS framework with a plasmid conjugation module

Actualmente existen aplicaciones que permiten simular el comportamiento de bacterias en distintos hábitats y los procesos que ocurren en estos para facilitar su estudio y experimentación sin la necesidad de un laboratorio. Una de las aplicaciones de software libre para la simulación de poblaciones bacteriológicas mas usada es iDynoMiCS (individual-based Dynamics of Microbial Communities Simulator), un simulador basado en agentes que permite trabajar con varios modelos computacionales de bacterias en 2D y 3D. Este simulador permite una gran libertad al configurar una numerosa cantidad de variables con respecto al entorno, reacciones químicas y otros detalles importantes. Una característica importante es el poder simular de manera sencilla la conjugación de plásmidos entre bacterias. Los plásmidos son moléculas de ADN diferentes del cromosoma celular, generalmente circularles, que se replican, transcriben y conjugan independientemente del ADN cromosómico. Estas están presentes normalmente en bacterias procariotas, y en algunas ocasiones en eucariotas, sin embargo, en este tipo de células son llamados episomas. Dado el complejo comportamiento de los plásmidos y la gama de posibilidades que estos presentan como mecanismos externos al funcionamiento básico de la célula, en la mayoría de los casos confiriéndole distintas ventajas evolutivas, como por ejemplo: resistencia antibiótica, entre otros, resulta importante su estudio y subsecuente manipulación. Sin embargo, el marco operativo del iDynoMiCS, en cuanto a simulación de plásmidos se refiere, es demasiado sencillo y no permite realizar operaciones más complejas que el análisis de la propagación de un plásmido en la comunidad. El presente trabajo surge para resolver esta deficiencia de iDynomics. Aquí se analizarán, desarrollarán e implementarán las modificaciones necesarias para que iDynomics pueda simular satisfactoriamente y mas apegado a la realidad la conjugación de plásmidos y permita así mismo resolver distintas operaciones lógicas, como lo son los circuitos genéticos, basadas en plásmidos. También se analizarán los resultados obtenidos de acuerdo a distintos estudios relevantes y a la comparación de los resultados obtenidos con el código original de iDynomics. Adicionalmente se analizará un estudio comparando la eficiencia de detección de una sustancia mediante dos circuitos genéticos distintos. Asimismo el presente trabajo puede tener interés para el grupo LIA de la Facultad de Informática de la Universidad Politécnica de Madrid, el cual está participando en el proyecto europeo BACTOCOM que se centra en el estudio de la conjugación de plásmidos y circuitos genéticos. --ABSTRACT--Currently there are applications that simulate the behavior of bacteria in different habitats and the ongoing processes inside them to facilitate their study and experimentation without the need for an actual laboratory. One of the most used open source applications to simulate bacterial populations is iDynoMiCS (individual-based Dynamics of Microbial Communities Simulator), an agent-based simulator that allows working with several computer models of 2D and 3D bacteria in biofilms. This simulator allows great freedom by means of a large number of configurable variables regarding environment, chemical reactions and other important details of the simulation. Within these characteristics there exists a very basic framework to simulate plasmid conjugation. Plasmids are DNA molecules physically different from the cell’s chromosome, commonly found as small circular, double-stranded DNA molecules that are replicated, conjugated and transcribed independently of chromosomal DNA. These bacteria are normally present in prokaryotes and sometimes in eukaryotes, which in this case these cells are called episomes. Plasmids are external mechanisms to the cells basic operations, and as such, in the majority of the cases, confer to the host cell various evolutionary advantages, like antibiotic resistance for example. It is mperative to further study plasmids and the possibilities they present. However, the operational framework of the iDynoMiCS plasmid simulation is too simple, and does not allow more complex operations that the analysis of the spread of a plasmid in the community. This project was conceived to resolve this particular deficiency in iDynomics, moreover, in this paper is discussed, developed and implemented the necessary changes to iDynomics simulation software so it can satisfactorily and realistically simulate plasmid conjugation, and allow the possibility to solve various ogic operations, such as plasmid-based genetic circuits. Moreover the results obtained will be analyzed and compared with other relevant studies and with those obtained with the original iDynomics code. Conjointly, an additional study detailing the sensing of a substance with two different genetic circuits will be presented. This work may also be relevant to the LIA group of the Faculty of Informatics of the Polytechnic University of Madrid, which is participating in the European project BACTOCOM that focuses on the study of the of plasmid conjugation and genetic circuits.

Population genomics of host specificity in Rhizobium leguminosarum bv. viciae

Legumes establish a root-nodule symbiosis with soil bacteria collectively known as rhizobia. This symbiosis allows legumes to benefit from the nitrogen fixation capabilities of rhizobia and thus to grow in the absence of any fixed nitrogen source. This is especially relevant for Agriculture, where intensive plant growth depletes soils of useable, fixed nitrogen sources. One of the main features of the root nodule symbiosis is its specificity. Different rhizobia are able to nodulate different legumes. Rhizobium leguminosarum bv. viciae is able to establish an effective symbiosis with four different plant genera (Pisum, Lens, Vicia, Lathyrus), and any given isolate will nodulate any of the four plant genera. A population genomics study with rhizobia isolated from P. sativum, L. culinaris, V. sativa or V. faba, all originating in the same soil, showed that plants select specific genotypes from those available in that soil. This was demonstrated at the genome-wide level, but also for specific genes. Accelerated mesocosm studies with successive plant cultures provided additional evidence on this plant selection and on the nature of the genotypes selected. Finally, representatives from the major rhizobial genotypes isolated from these plants allowed characterization of the size and nature of the respective pangenome and specific genome compartments. These were compared to the different genotypes ?symbiotic and non-symbiotic?present in rhizobial populations isolated directly from the soil without plant intervention.

Effect of the Legume Plant Host on Rhizobial Soil Population Dynamics

Rhizobium leguminosarum bv viciae (Rlv) is a soil bacterium able to establish specific root-nodule symbioses with legumes of four different genera: Pisum, Vicia, Lens and Lathyrus. Rlv isolates from nodules of any of these legumes can nodulate any of them; however, it has been shown that plants select specific rhizobial genotypes from those present in the soil (1,2). We have previously shown this at the genomic level by following a population genomics approach. Pool genomic sequences from 100 isolates from each of four plant species: P. sativum, L. culinaris, V. faba and V. sativa, show different, specific profiles at the single nucleotide polymorphism (SNP) level for relevant genes. In this work, the extent of Rlv selection from a well-characterized soil population by different legume plant hosts: P. sativum, L. culinaris, V. faba and V. sativa, after a medium-term mesocosm study is described. Direct soil isolates from each of these mesocosm studies have been tested for specific rhizobial genes (glnII and fnrN) and symbiotic genes (nodC and nifH). Different populations were characterized further by Sanger sequencing of both the rpoB phylogenetic marker gene and the symbiotic genes nodC and nifH. The distribution and size of the rhizobial population for each legume host showed changes during the medium-term mesocosm study. Particularly, a non-symbiotic group of rhizobia was enriched by all four hosts, in contrast to the symbiotic rhizobia profile, which was specific for each legume plant host.

The Pangenome of the Plant-Selected Rhizobium leguminosarum bv viciae Sub-popuations

Rhizobium leguminosarum bv viciae (Rlv) is a bacterium able to establish effective symbioses with four different legume genera: Pisum, Lens, Lathyrus and Vicia. Classic studies using trap plants have previously shown that, given a choice, different plants prefer specific genotypes of rhizobia, which are adapted to the host (1, 2). In previous work we have performed a Pool-Seq analysis bases on pooled DNA samples from Rlv nodule isolates obtained from Pisum sativum, Lens culinaris, Vicia fava and V. sativa plants, used as rhizobial traps. This experiment allowed us to test the host preference hypothesis: different plant hosts select specific sub-populations of rhizobia from the available population present in a given soil. We have observed that plant-selected sub-populations are different at the single nucleotide polymorphism (SNP) level. We have selected individual isolates from each sub-population (9 fava-bean isolates, 14 pea isolates 9 vetch isolates and 9 lentil isolates) and sequenced their genomes at draft level (ca. 30x, 90 contigs). Genomic analyses have been carried out using J-species and CMG-Biotools. All the isolates had similar genome size (7.5 Mb) and number of genes (7,300). The resulting Average Nucleotide Identity (ANIm) tree showed that Rhizobium leguminosarum bv viciae is a highly diverse group. Each plant-selected subpopulation showed a closed pangenome and core genomes of similar size (11,500 and 4,800 genes, respectively). The addition of all four sub-population results in a larger, closed pangenome of 19,040 genes and a core genome of similar size (4,392 genes). Each sub-population contains a characteristic set of genes but no universal, plant-specific genes were found. The core genome obtained from all four sub-populations is probably a representative core genome for Rhizobium leguminosarum, given that the reference genome (Rhizobium leguminosarum bv. viciae strain 3841) contains most of the core genome. We have also analyzed the symbiotic cluster (nod), and different nod cluster genotypes were found in each sub-population. Supported by MINECO (Consolider-Ingenio 2010, MICROGEN Project, CSD2009-00006).