Genotypic and phenotypic analyses reveal distinct population structures
and ecotypes for sugar beet-associated Pseudomonas in Oxford and
Auckland
Abstract
Fluorescent pseudomonads represent one of the largest groups of bacteria
inhabiting the surfaces of plants, but their genetic composition in
planta is poorly understood. Here, we examined the population structure
and diversity of fluorescent pseudomonads isolated from sugar beet grown
at two geographic locations (Oxford, UK and Auckland, New Zealand). To
seek evidence for niche adaptation, bacteria were sampled from three
types of leaves (immature, mature and senescent) and then characterized
using a combination of genotypic and phenotypic analysis. We first
performed multilocus sequence analysis (MLSA) of three housekeeping
genes (gapA, gltA, acnB) in a total of 152 isolates
(96 from Oxford, 56 from Auckland). The concatenated sequences were
grouped into 81 sequence types and 22 distinct operational taxonomic
units (OTUs). Significant levels of recombination were detected,
particularly for the Oxford isolates (rate of recombination to mutation
(r/m) = 5.23 for the whole population). Subsequent ancestral analysis
performed in STRUCTURE found evidence of six ancestral populations, and
their distributions significantly differed between Oxford and Auckland
strains. Next, the ability to grow on 95 carbon sources was assessed
using the BiologTM GN2 microtiter plates. A distance matrix was
generated from the raw growth data (A660) and subjected to
multidimensional scaling (MDS) analysis. There was a significant
correlation between the substrate utilization profiles and MLSA
genotypes. Both phenotypic and genotypic analyses indicated presence of
a geographic structure for strains from Oxford and Auckland. Significant
differences were genotypically detected between strains isolated from
immature versus mature/senescent leaves. The fluorescent pseudomonads
thus showed an ecotypic population structure, suggestive of adaptation
to both geographical and local plant environments.