| Literature DB >> 24392015 |
Chuncan Si1, Xueyan Liu1, Congyan Wang1, Lei Wang1, Zhicong Dai1, Shanshan Qi1, Daolin Du2.
Abstract
Several studies have shown that soil microorganisms play a key role in the success of plant invasion. Thus, ecologists have become increasingly interested in understanding the ecological efclass="Chemical">fects of biological invasion on soil microbial communities given continuing increase in the efEntities:
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Year: 2013 PMID: 24392015 PMCID: PMC3877371 DOI: 10.1371/journal.pone.0085490
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Degrees of W. trilobata invasion in the fifteen samples used in the present study.
| Invasion situation | No. of sample site | Degree of invasion | Sample area |
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| Uninvaded | 1 | 0% | Haikou |
| 4 | 0% | Tunchang | |
| 7 | 0% | Sanya | |
| 10 | 0% | Qionghai | |
| 13 | 0% | Danzhou | |
| Low-degree invasion | 2 | 34% | Haikou |
| 5 | 10% | Tunchang | |
| 8 | 6% | Sanya | |
| 11 | 10% | Qionghai | |
| 14 | 1% | Danzhou | |
| High-degree invasion | 3 | 99% | Haikou |
| 6 | 90% | Tunchang | |
| 9 | 97% | Sanya | |
| 12 | 90% | Qionghai | |
| 15 | 92% | Danzhou |
Physicochemical properties of the soil samples.
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| Uninvaded | 4.676±0.645 | 14.660±3.239 | 2.224±0.784 | 0.121±0.041 | 0.034±0.010 | 0.328±0.111 | 60.680±16.235 | 59.100±22.834 | 1561.860±369.987ab | 141.360±46.887 |
| Low-degree invasion | 6.240±0.340 | 17.280±2.333 | 2.060±0.694 | 0.108±0.037 | 0.044±0.008 | 0.230±0.063ab | 48.980±12.032 | 35.620±8.612 | 2811.480±645.846 | 127.780±46.290 |
| High-degree invasion | 4.742±0.406 | 17.360±3.594 | 2.138±0.284 | 0.113±0.014 | 0.037±0.009 | 0.084±0.031 | 37.820±21.463 | 37.240±21.072 | 1057.800±254.297 | 105.960±46.294 |
The values in the table represent means of the values of the five areas with the same degree of W. trilobata invasion. Data with different superscript letters in a vertical row indicate significant difference (P < 0.05). Legends: units of soil moisture, N, P, and K are in % (W/W) and units of organic matter, Fe, Mn, Ca, and Mg are in mg kg−1.
ANOVA of the effects of the degree of W. trilobata invasion on the soil physicochemical properties and Shannon–Wiener diversity (H') and Pielou evenness (E) indices of soil microorganisms.
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| F | 3.373 | 0.245 | 0.017 | 0.040 | 0.326 | 2.620 | 0.451 | 0.496 | 3.953 | 0.148 | 0.697 | 4.364 | 3.152 | 0.445 |
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| 0.069 | 0.786 | 0.983 | 0.961 | 0.728 | 0.114 | 0.647 | 0.621 |
| 0.864 | 0.517 |
| 0.079 | 0.651 |
* indicates significant differences at the 0.05 probability level. P values equal to or lower than 0.05 are in boldface. Legend: H'-B, H' of soil bacterial community; H'-F, H' of soil fungal community; E -B, E of soil bacterial community; E -F, E of soil fungal community.
Figure 1DGGE fingerprints of amplified 16S rRNA gene fragments of soil bacterial community (A) and amplified 18S rRNA gene fragments of soil fungal community (B).
Straight lines indicate the DGGE bands for which the sequence was determined. Arabic numerals lies above the figure represent sample sites.
Figure 2Shannon–Wiener diversity (H') (A) and Pielou evenness (E) (B) indices of the soil microbial communities under different degrees of W. trilobata invasion.
Symbols: open bars, soil bacterial community; filled bars, soil fungal community. Error bars indicate standard errors (SE, n = 3).
Figure 3Phylogenetic tree showing the relationship of the 21 predominant 16S rRNA gene-based DGGE bands (A) and the 30 predominant 18S rRNA gene-based DGGE bands (B).
Numbers at the node are bootstrap values based on 1000 re-samplings. The scale bar represents percentage similarity. Genbank accession numbers are shown in parentheses.