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Epiphytic bacterial community composition on the surface of the submerged macrophyte Myriophyllum spicatum in a low-salinity sea area of Hangzhou Bay Cover

Epiphytic bacterial community composition on the surface of the submerged macrophyte Myriophyllum spicatum in a low-salinity sea area of Hangzhou Bay

Oceanological and Hydrobiological Studies
Volume 48 (2019): Issue 1 (March 2019)
By: Qiao Liu,  Mengmeng Liu,  Qi Zhang,  Yanlin Bao,  Na Yang,  Yuanzi Huo and  Peimin He  
Open Access
|Mar 2019

Figures & Tables

Figure 1

Location of the study area and M. spicatum in Hangzhou Bay
Location of the study area and M. spicatum in Hangzhou Bay

Figure 2

Location of the sampling sites and M. spicatum in July and October 2017
Location of the sampling sites and M. spicatum in July and October 2017

Figure 3

Venn diagram of bacterial OTUs on the surface of plants, in the water column and sediments in July and October 2017 in Hangzhou Bay. The overlapping area corresponds to OTUs shared by two or three samples. The numbers indicate the number of OTUs.
Venn diagram of bacterial OTUs on the surface of plants, in the water column and sediments in July and October 2017 in Hangzhou Bay. The overlapping area corresponds to OTUs shared by two or three samples. The numbers indicate the number of OTUs.

Figure 4

Principal coordinates analysis (PCoA) for OTUs in the water column, plants, and sediments
Principal coordinates analysis (PCoA) for OTUs in the water column, plants, and sediments

Figure 5

Relative abundance (%) of the main bacterial classes found in the clone libraries of the water column, plants, and sediment collected from Hangzhou Bay
Relative abundance (%) of the main bacterial classes found in the clone libraries of the water column, plants, and sediment collected from Hangzhou Bay

Figure 6

Heat map of the 30 most abundant genera. The color intensity (represented by the log scale on the right) represents the abundance of a genus in a sample. Phylogenetic relationships are shown in the left tree. The top tree shows the clustering relationship of the genera.
Heat map of the 30 most abundant genera. The color intensity (represented by the log scale on the right) represents the abundance of a genus in a sample. Phylogenetic relationships are shown in the left tree. The top tree shows the clustering relationship of the genera.

Figure 7

Fifteen most abundant genera of epiphytic bacteria in July and October. * p < 0.05, **p < 0.01, **p < 0.001
Fifteen most abundant genera of epiphytic bacteria in July and October. * p < 0.05, **p < 0.01, **p < 0.001

Figure 8

Operational Taxonomic Units (OTUs) network analysis applied to the epiphytic bacteria in July (A) and October (B). The OTUs network analysis shows only the 30 most abundant OTUs with correlations ≥ 0.5. The size of the node is proportional to the abundance of OTUs. The color of the node corresponds to the phylum taxonomic classification. Red lines indicate positive correlations, while green lines indicate negative correlations. The line thickness corresponds to the correlation values.
Operational Taxonomic Units (OTUs) network analysis applied to the epiphytic bacteria in July (A) and October (B). The OTUs network analysis shows only the 30 most abundant OTUs with correlations ≥ 0.5. The size of the node is proportional to the abundance of OTUs. The color of the node corresponds to the phylum taxonomic classification. Red lines indicate positive correlations, while green lines indicate negative correlations. The line thickness corresponds to the correlation values.

Figure 9

Clusters of orthologous groups and their abundance by PICRUSt in July and October. Asterisks denote significant differences between July and October, Student’s T-test (p < 0.05).
Clusters of orthologous groups and their abundance by PICRUSt in July and October. Asterisks denote significant differences between July and October, Student’s T-test (p < 0.05).

Comparison of the number and length of sequences, the number of OTUs, Chao1, ACE and Shannon indices (H’) of bacteria among clone libraries

Number of sequencesSequence lengthNumber of OTUsCoverageChao1H’ACE
July
Water35 205.67 ± 3098.38395.25 ± 0.38a221.67 ± 41.43a1.00 ± 0.00339.57 ± 42.64a3.30 ± 0.12a354.01 ± 26.53a
Plant35 239.33 ± 1685.72395.89 ± 0.39a729.00 ± 455.27a0.98 ± 0.011102.33 ± 632.11a4.41 ± 0.84b1341.48 ± 802.46ab
Sediment40 443.00 ± 2179.75396.20 ± 0.09a1551.67 ± 41.36b0.97 ± 0.002134.17 ± 70.69b5.74 ± 0.05c2152.08 ± 63.09b
October
Water42 610.00 ± 1797.65394.47 ± 0.18a218.33 ± 20.60a1.00 ± 0.00329.53 ± 14.80a3.29 ± 0.13a417.07 ± 52.55a
Plant40 254.67 ± 2321.51394.61 ± 0.12a709.33 ± 79.53b0.98 ± 0.001192.37 ± 186.94b4.60 ± 0.10b1397.57 ± 191.63b
Sediment40 492.33 ± 3063.11396.20 ± 0.14b1420.67 ± 5.13c0.97 ± 0.001978.52 ± 68.81c5.59 ± 0.10c1965.77 ± 68.83c
DOI: https://doi.org/10.1515/ohs-2019-0005 | Journal eISSN: 1897-3191 | Journal ISSN: 1730-413X
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Language: English
Page range: 43 - 55
Submitted on: Jun 28, 2018
Accepted on: Sep 7, 2018
Published on: Mar 14, 2019
Published by: University of Gdańsk
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Myriophyllum spicatum,
epiphytic bacteria,
Hangzhou Bay,
bacterioplankton,
sediment
Related subjects:
Chemistry,
Chemistry, other,
Geosciences,
Geosciences, other,
Life sciences,
Life sciences, other

© 2019 Qiao Liu, Mengmeng Liu, Qi Zhang, Yanlin Bao, Na Yang, Yuanzi Huo, Peimin He, published by University of Gdańsk
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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