Evidence map›Paper›PMID 14711656›Full record

ArticleApplied and environmental microbiology2004

Nitrous oxide reductase (nosZ) gene fragments differ between native and cultivated Michigan soils.

Blaz Stres, Ivan Mahne, Gorazd Avgustin, James M Tiedje

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Blaz StresCenter for Microbial Ecology, Michigan State University, East Lansing, Michigan 48824-1325, USA.
Ivan Mahne
Gorazd Avgustin
James M Tiedje

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effect of standard agricultural management on the genetic heterogeneity of nitrous oxide reductase (nosZ) fragments from denitrifying prokaryotes in native and cultivated soil was explored. Thirty-six soil cores were composited from each of the two soil management conditions. nosZ gene fragments were amplified from triplicate samples, and PCR products were cloned and screened by restriction fragment length polymorphism (RFLP). The total nosZ RFLP profiles increased in similarity with soil sample size until triplicate 3-g samples produced visually identical RFLP profiles for each treatment. Large differences in total nosZ profiles were observed between the native and cultivated soils. The fragments representing major groups of clones encountered at least twice and four randomly selected clones with unique RFLP patterns were sequenced to verify nosZ identity. The sequence diversity of nosZ clones from the cultivated field was higher, and only eight patterns were found in clone libraries from both soils among the 182 distinct nosZ RFLP patterns identified from the two soils. A group of clones that comprised 32% of all clones dominated the gene library of native soil, whereas many minor groups were observed in the gene library of cultivated soil. The 95% confidence intervals of the Chao1 nonparametric richness estimator for nosZ RFLP data did not overlap, indicating that the levels of species richness are significantly different in the two soils, the cultivated soil having higher diversity. Phylogenetic analysis of deduced amino acid sequences grouped the majority of nosZ clones into an interleaved Michigan soil cluster whose cultured members are alpha-Proteobacteria. Only four nosZ sequences from cultivated soil and one from the native soil were related to sequences found in gamma-Proteobacteria. Sequences from the native field formed a distinct, closely related cluster (D(mean) = 0.16) containing 91.6% of the native clones. Clones from the cultivated field were more distantly related to each other (D(mean) = 0.26), and 65% were found outside of the cluster from the native soil, further indicating a difference in the two communities. Overall, there appears to be a relationship between use and richness, diversity, and the phylogenetic position of nosZ sequences, indicating that agricultural use of soil caused a shift to a more diverse denitrifying community.

Indexed as

AgricultureAlphaproteobacteriaDNA, BacterialGammaproteobacteriaGenetic VariationMichiganMolecular Sequence DataOxidoreductasesPhylogenyPolymerase Chain ReactionPolymorphism, Restriction Fragment LengthSequence Analysis, DNASoilSoil MicrobiologyDNA, Bacterialnitrous oxide reductaseOxidoreductasesSoil

Identifiers

PMID14711656
PMCPMC321260

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.