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Genetic Characterization of Rhizobium spp. Strains in an Organic Field Pea ( Pisum sativum L.) Field in Lithuania.

Justina KaziūnienėFrancesco PiniArman ShamshitovKristyna RazbadauskienėBirutė FrercksAudrius GegeckasRaimonda MažylytėLaura LapinskienėSkaidre Suproniene
Published in: Plants (Basel, Switzerland) (2024)
Biological nitrogen fixation in legume plants depends on the diversity of rhizobia present in the soil. Rhizobial strains exhibit specificity towards host plants and vary in their capacity to fix nitrogen. The increasing interest in rhizobia diversity has prompted studies of their phylogenetic relations. Molecular identification of Rhizobium is quite complex, requiring multiple gene markers to be analysed to distinguish strains at the species level or to predict their host plant. In this research, 50 rhizobia isolates were obtained from the root nodules of five different Pisum sativum L. genotypes ("Bagoo", "Respect", "Astronaute", "Lina DS", and "Egle DS"). All genotypes were growing in the same field, where ecological farming practices were applied, and no commercial rhizobia inoculants were used. The influence of rhizobial isolates on pea root nodulation and dry biomass accumulation was determined. 16S rRNA gene, two housekeeping genes recA and atpD, and symbiotic gene nodC were analysed to characterize rhizobia population. The phylogenetic analysis of 16S rRNA gene sequences showed that 46 isolates were linked to Rhizobium leguminosarum ; species complex 1 isolate was identified as Rhizobium nepotum , and the remaining 3 isolates belonged to Rahnella spp., Paenarthrobacter spp., and Peribacillus spp. genera. RecA and atpD gene analysis showed that the 46 isolates identified as R. leguminosarum clustered into three genospecies groups (B), (E) and (K). Isolates that had the highest influence on plant dry biomass accumulation clustered into the (B) group. NodC gene phylogenetic analysis clustered 46 R. leguminosarum isolates into 10 groups, and all isolates were assigned to the R. leguminosarum sv. viciae .
Keyphrases
  • genetic diversity
  • genome wide
  • genome wide identification
  • copy number
  • healthcare
  • primary care
  • gene expression
  • climate change
  • single molecule
  • plant growth