Article
Nitrogen-fixing sinorhizobia with Medicago laciniata constitute a novel biovar (bv. medicaginis) of S. meliloti.
Laboratoire des Symbioses Tropicales et Méditerranéennes Cirad Ensa.M Ird UmII, TA10/J, Campus International de Baillarguet, 34 398 Montpellier Cedex 5, France.
Systematic and Applied Microbiology (impact factor:
3.37).
12/2006;
29(7):526-38.
DOI:10.1016/j.syapm.2005.12.008
pp.526-38
Source: PubMed
-
Citations (0)
- Cited In (2)
-
Article: New analysis for consistency among markers in the study of genetic diversity: development and application to the description of bacterial diversity.
[show abstract] [hide abstract]
ABSTRACT: The development of post-genomic methods has dramatically increased the amount of qualitative and quantitative data available to understand how ecological complexity is shaped. Yet, new statistical tools are needed to use these data efficiently. In support of sequence analysis, diversity indices were developed to take into account both the relative frequencies of alleles and their genetic divergence. Furthermore, a method for describing inter-population nucleotide diversity has recently been proposed and named the double principal coordinate analysis (DPCoA), but this procedure can only be used with one locus. In order to tackle the problem of measuring and describing nucleotide diversity with more than one locus, we developed three versions of multiple DPCoA by using three ordination methods: multiple co-inertia analysis, STATIS, and multiple factorial analysis. This combination of methods allows i) testing and describing differences in patterns of inter-population diversity among loci, and ii) defining the best compromise among loci. These methods are illustrated by the analysis of both simulated data sets, which include ten loci evolving under a stepping stone model and a locus evolving under an alternative population structure, and a real data set focusing on the genetic structure of two nitrogen fixing bacteria, which is influenced by geographical isolation and host specialization. All programs needed to perform multiple DPCoA are freely available. Multiple DPCoA allows the evaluation of the impact of various loci in the measurement and description of diversity. This method is general enough to handle a large variety of data sets. It complements existing methods such as the analysis of molecular variance or other analyses based on linkage disequilibrium measures, and is very useful to study the impact of various loci on the measurement of diversity.BMC Evolutionary Biology 02/2007; 7:156. · 3.52 Impact Factor -
Article: Phenotypic and genetic characterization of rhizobia associated with alfalfa in the Hokkaido and Ishigaki regions of Japan.
[show abstract] [hide abstract]
ABSTRACT: Twenty five rhizobial isolates were obtained from root nodules of Medicago sativa inoculated with soil samples collected from the Sapporo region and Ishigaki Island in Japan. To study their diversity and characterize them in relation to the climatic conditions of their soils of origin, a polyphasic approach analyzing stress tolerance, symbiotic and genetic properties was used. Stress tolerance assays revealed marked variations in salinity, pH and temperature tolerance. Isolates originating from a sub-tropical climate in alkaline soil (Ishigaki Island) tolerated high temperature, salinity and pH levels. Moreover, isolates recovered from a temperate climate in acidic soil (Sapporo) were sensitive to high temperature and salinity, and tolerated acidic pH. Phylogenetic analysis of conserved 16S rRNA and recA genes, and symbiotic nodA and nifDK revealed 25 isolates to be closely related to Ensifer meliloti. Furthermore, the branch patterns of phylogenetic trees constructed from different genes revealed the existence of at least two E. meliloti types in the soils studied. These results may be relevant to programs directed towards improving crop productivity through biofertilization with locally adapted and genetically defined strains.Systematic and Applied Microbiology 06/2011; 34(6):453-61. · 3.37 Impact Factor
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed.
The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual
current impact factor.
Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence
agreement may be applicable.
Keywords
16S rRNA gene sequencing
23S rDNAs
adapted symbionts
classically known S. meliloti group
different annual Medicago species
DNA/DNA hybridization
intergenic spacer sequence
M. laciniata
M. polymorpha
M. sativa
M. sauvagei
M. truncatula
Medicago laciniata
Mediterranean soils
new rhizobial
nodA sequences
phenotypic characterization
Sinorhizobium efficient
Sinorhizobium medicae
Sinorhizobium meliloti