Jh. Rotthauwe et al., THE AMMONIA MONOOXYGENASE STRUCTURAL GENE AMOA AS A FUNCTIONAL MARKER- MOLECULAR FINE-SCALE ANALYSIS OF NATURAL AMMONIA-OXIDIZING POPULATIONS, Applied and environmental microbiology, 63(12), 1997, pp. 4704-4712
The naturally occurring genetic heterogeneity of autotrophic ammonia-o
xidizing populations belonging to the beta subclass of the Proteobacte
ria was studied by using a newly developed PCR-based assay targeting a
partial stretch of the gene which encodes the active-site polypeptide
of ammonia monooxygenase (amoA). The PCR yielded a specific 491-bp fr
agment with all of the nitrifiers tested, but not with the homologous
stretch of the particulate methane monooxygenase, a key enzyme of the
methane oxidizing bacteria. The assay also specifically detected amoA
in DNA extracted from various aquatic and terrestrial environments. Th
e resulting PCR products retrieved from rice roots, activated sludge,
a freshwater sample, and an enrichment culture were used for the gener
ation of amoA gene libraries. No false positives were detected in a se
t of 47 randomly selected clone sequences that were analyzed further.
The majority of the environmental sequences retrieved from rice roots
and activated sludge grouped within the phylogenetic radiation defined
by cultured strains of the genera Nitrosomonas and Nitrosospira. The
comparative analysis identified members of both of these genera in act
ivated sludge; however, only Nitrosospira-like sequences with very sim
ilar amino acid patterns were found on rice roots. Further differentia
tion of these molecular isolates was clearly possible on the nucleic a
cid level due to the accumulation of synonymous mutations, suggesting
that several closely related but distinct Nitrosospira-like population
s are the main colonizers of the rhizosphere of rice. Each of the amoA
gene libraries obtained from the freshwater sample and the enrichment
culture was dominated by a novel lineage that shared a branch with th
e Nitrosospira cluster but could not be assigned to any of the known p
ure cultures. Our data suggest that amoA represents a very powerful mo
lecular tool for analyzing indigenous ammonia-oxidizing communities du
e to (i) its specificity, (ii) its fine-scale resolution of closely re
lated populations, and (iii) the fact that a functional trait rather t
han a phylogenetic trait is detected.