120 research outputs found
The relationship between initial Rubisco activity and the ratio of leaf photosynthetic rate (<i>A</i>) to Rubisco content on Shanyou 63 (solid cycles) and Yangdao 6 (open cycles).
<p>The line represents linear regression: y = 3.51x−0.53 R<sup>2</sup> = 0.88 <i>P</i><0.01.</p
Frequency of the most abundant bacterial genera, indicated in % of all classified sequences, within each treatment of bio-organic fertilizer (BIO), cattle manure compost (CM), Chinese medicine residue compost (CMR), general operation control (GCK) and pig manure compost (PM).
<p>Only the genera frequency higher than 1% was listed in the table. Values are the means followed by standard error of the mean. Different letters indicate statistically significant differences at the 0.05 probability level according to Fisher's least significant difference test (LSD) and the Duncan test.</p
Rarefaction analysis at different 3% dissimilarity levels for treatments with bio-organic fertilizer (BIO), cattle manure compost (CM), Chinese medicine residue compost (CMR), general operation control (GCK) and pig manure compost (PM).
<p>Rarefaction analysis at different 3% dissimilarity levels for treatments with bio-organic fertilizer (BIO), cattle manure compost (CM), Chinese medicine residue compost (CMR), general operation control (GCK) and pig manure compost (PM).</p
Electron micrographs of chloroplasts in newly expanded leaves of Shanyou 63 (a, low-N supply; b, intermediate.-N supply; c, high-N supply) and Yangdao 6 (d, low-N supply; e, intermediate.-N supply; f, high-N supply).
<p>Bar = 1 µm. C, chloroplasts; M, mitochondrion; N, nucleus; SG, starch granules; CW, cell wall; arrows point to plasma membrane.</p
The relationships between the ratio of mesophyll conductance (g<sub>m</sub>) to Rubisco content and (a) photosynthetic N-use efficiency (PNUE) and (b) the ratio of leaf photosynthetic rate (<i>A</i>) and Rubisco content on Shanyou 63 (solid cycles) and Yangdao 6 (open cycles).
<p>The lines represent the following regressions: (a) y = 32.89x+26.28 R<sup>2</sup> = 0.86 <i>P</i><0.01; (b) y = 0.096x−0.038 R<sup>2</sup> = 0.80 <i>P</i><0.05.</p
Anaerobic Arsenite Oxidation by an Autotrophic Arsenite-Oxidizing Bacterium from an Arsenic-Contaminated Paddy Soil
Microbe-mediated
arsenic (As) redox reactions play an important
role in the biogeochemical cycling of As. Reduction of arsenate [AsÂ(V)]
generally leads to As mobilization in paddy soils and increased As
availability to rice plants, whereas oxidation of arsenite [AsÂ(III)]
results in As immobilization. A novel chemoautotrophic AsÂ(III)-oxidizing
bacterium, designated strain SY, was isolated from an As-contaminated
paddy soil. The isolate was able to derive energy from the oxidation
of AsÂ(III) to AsÂ(V) under both aerobic and anaerobic conditions using
O<sub>2</sub> or NO<sub>3</sub><sup>–</sup> as the respective
electron acceptor. Inoculation of the washed SY cells into a flooded
soil greatly enhanced AsÂ(III) oxidation to AsÂ(V) both in the solution
and adsorbed phases of the soil. Strain SY is phylogenetically closely
related to <i>Paracoccus niistensis</i> with a 16S rRNA
gene similarity of 96.79%. The isolate contains both the denitrification
and ribulose 1,5-bisphosphate carboxylase/oxygenase gene clusters,
underscoring its ability to denitrify and to fix CO<sub>2</sub> while
coupled to AsÂ(III) oxidation. Deletion of the <i>aioA</i> gene encoding the AsÂ(III) oxidase subunit A abolished the AsÂ(III)
oxidation ability of strain SY and led to increased sensitivity to
AsÂ(III), suggesting that AsÂ(III) oxidation is a detoxification mechanism
in this bacterium under aerobic and heterotrophic growth conditions.
Analysis of the <i>aioA</i> gene clone library revealed
that the majority of the AsÂ(III)-oxidizing bacteria in the soil were
closely related to the genera <i>Paracoccus</i> of α-<i>Proteobacteria</i>. Our results provide direct evidence for
AsÂ(III) oxidation by <i>Paracoccus</i> species and suggest
that these species may play an important role in AsÂ(III) oxidation
in paddy soils under both aerobic and denitrifying conditions
Heat map of the bacterial communities based on abundance of phyla (a) and Jackknifed principal coordination analysis (PCoA) plots with unweighted UniFrac distance metric (b) from treatments with bio-organic fertilizer (BIO), cattle manure compost (CM), Chinese medicine residue compost (CMR), general operation control (GCK) and pig manure compost (PM).
<p>Color from pink to blue indicates increasing abundance.</p
Correlation analysis between the relative abundance of two bacteria phyla (a), three of the most classified bacteria genera (b) and banana <i>Fusarium</i> wilt disease incidence for treatments with bio-organic fertilizer (BIO), cattle manure compost (CM), Chinese medicine residue compost (CMR), general operation control (GCK) and pig manure compost (PM).
<p>Correlation analysis between the relative abundance of two bacteria phyla (a), three of the most classified bacteria genera (b) and banana <i>Fusarium</i> wilt disease incidence for treatments with bio-organic fertilizer (BIO), cattle manure compost (CM), Chinese medicine residue compost (CMR), general operation control (GCK) and pig manure compost (PM).</p
Calculations of Chao1, ACE, Shannon and Good's Coverage indices for treatments with bio-organic fertilizer (BIO), cattle manure compost (CM), Chinese medicine residue compost (CMR), general operation control (GCK) and pig manure compost (PM) at a 97% similarity threshold.
<p>Values indicate the means followed by standard error of the mean. Different letters indicate statistically significant differences at the 0.05 probability level according to Fisher's least significant difference test (LSD) and the Duncan test.</p
Redundancy analysis (RDA) of the abundant phyla and soil properties for soil samples from treatments with bio-organic fertilizer (BIO), cattle manure compost (CM), Chinese medicine residue compost (CMR), general operation control (GCK) and pig manure compost (PM).
<p>Redundancy analysis (RDA) of the abundant phyla and soil properties for soil samples from treatments with bio-organic fertilizer (BIO), cattle manure compost (CM), Chinese medicine residue compost (CMR), general operation control (GCK) and pig manure compost (PM).</p
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