Relationship between dissolved organic carbon and bacterial community in the coastal waters of Incheon, Korea Cover

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Relationship between dissolved organic carbon and bacterial community in the coastal waters of Incheon, Korea

Oceanological and Hydrobiological Studies

Volume 46 (2017): Issue 1 (March 2017)

By: Pengbin Wang, Jae-Hyoung Joo, Bum Soo Park, Joo-Hwan Kim, Jin Ho Kim and Myung-Soo Han

Open Access

|Mar 2017

Figures & Tables

Sampling sites in the Yeongheung-do coastal waters, Incheon, Korea. St. 1: Site 1. St. 2: Site 2. St. 3: Site 3

Physicochemical factor fluctuations at St. 1 through St.3 during field monitoring. A: Temperature; B: Salinity; C: pH; D: Dissolved oxygen (DO); E: Chlorophyll a, note the y axis break in E: Break from 0.6 to 0.8

Nutrient variations at St. 1 through St. 3 during field monitoring. A: Phosphate; B: Ammonia; C: Nitrite; D: Nitrate; E: Silicate; F: N:P ratio; the dotted N:P line represents a value of 16, which is the nitrogen to phosphorus ratio in the plankton and is remarkably similar to the global ocean dissolved nitrate to phosphate ratio (16:1) (Redfield 1958)

Bacteria, dissolved organic carbon (DOC) and phytoplankton variations at St. 1 through St. 3 during field monitoring. A: Bacteria abundance; B: DOC concentration; C: phytoplankton abundance

DGGE band patterns (negatively converted) obtained from the 2013 field monitoring campaign in Yeongheung-do, Incheon, Korea. 1. 08-27-2013 St. 1- Surface; 2. 08-27-2013 St. 1 - Bottom; 3. 08-27-2013 St. 2 - Surface; 4. 08-27-2013 St. 2 - Bottom; 5. 09-24-2013 St. 1 - Surface; 6. 09-24-2013 St. 1 - Bottom; 7. 09-24-2013 St. 2 - Surface; 8. 09-24-2013 St. 2 - Bottom; 9. 10-29-2013 St. 1 - Surface; 10. 10-29-2013 St. 1 - Bottom; 11. 10-29-2013 St. 2 - Surface; 12. 10-29-2013 St. 2 - Bottom

DGGE pattern clustering analysis using the unweighted pair-group method with arithmetic means (UPGMA) for samples collected from St. 1 to St. 3 during the 2013 field monitoring campaign. Distinct background colors used to distinguish the months in different clades.

Redundancy analysis (RDA) of field monitoring data for physicochemical and biotic factors. A significant relationship existed between DOC and bacterial abundance. Cumulative percentage variance of the first two axes was 70.64% and 73.79%, respectively.

DGGE pattern clustering analysis using the unweighted pair-group method with arithmetic means (UPGMA) for samples collected from St. 1 to St. 3 during the 2014 field monitoring campaign. Distinct background colors used to distinguish the months in different clades.

Correlations between physicochemical and biotic factors measured during field monitoring

		1	2	3	4	5	6	7	8	9	10	11	12
1. Bacteria	Pearson Correlation	1
	p value
	N	48
2. Phytoplankton	Pearson Correlation	.157	1
	p value	.287
	N	48	54
3. Temperature	Pearson Correlation	.206	.050	1
	p value	.160	.718
	N	48	54	54
4. Salinity	Pearson Correlation	-.098	-.150	-.185	1
	p value	.510	.279	.179
	N	48	54	54	54
5. DO	Pearson Correlation	.015	.546 p<0.01	-.443 p<0.01	-.358 p<0.01	1
	p value	.918	.000	.001	.008
	N	48	54	54	54	54
6.pH	Pearson Correlation	.291*	.009	.459 p<0.01	.067	-.170	1
	p value	.045	.948	.000	.631	.218
	N	48	54	54	54	54	54
7. DOC	Pearson Correlation	.625 p<0.01	-.056	.103	-.298	.108	-.036	1
	p value	.000	.781	.609	.131	.593	.859
	N	27	27	27	27	27	27	27
8. PO₄^3-	Pearson Correlation	-.208	-.357	-.057	-.555 p<0.01	.107	-.016	.092	1
	p value	.299	.067	.778	.003	.595	.938	.647
	N	27	27	27	27	27	27	27	27
9. NH₄⁺	Pearson Correlation	.268	-.270	.549 p<0.01	-.295	-.336	.103	.511 p<0.01	.026	1
	p value	.176	.174	.003	.135	.087	.608	.006	.897
	N	27	27	27	27	27	27	27	27	27
10. NO₂⁻	Pearson Correlation	-.007	-.263	.476 p<0.01	-.215	-.303	.281	-.020	.443 p<0.01	.157	1
	p value	.973	.184	.012	.281	.124	.156	.920	.021	.435
	N	27	27	27	27	27	27	27	27	27	27
11. NO₃⁻	Pearson Correlation	-.020	-.224	.340	-.458 p<0.01	-.087	.146	.092	.793 p<0.01	.217	.583 p<0.01	1
	p value	.922	.262	.082	.016	.667	.468	.649	.000	.277	.001
	N	27	27	27	27	27	27	27	27	27	27	27
12.SiO₄⁻	Pearson Correlation	-.120	-.378	.498 p<0.01	-.203	-.340	.348	.007	.545 p<0.01	.281	.827 p<0.01	.734 p<0.01	1
	p value	.551	.052	.008	.311	.082	.075	.971	.003	.156	.000	.000
	N	27	27	27	27	27	27	27	27	27	27	27	27

Depth of sampling sites

Date	Depth (m)
Date	St.1	St.2	St.3
2013-08-27	2.5	6	ND
2013-09-24	4	7	ND
2013-10-29	3	7	ND
2014-08-28	2	6.5	11
2014-09-25	2	6	10
2014-10-28	3	6	12

DOI: https://doi.org/10.1515/ohs-2017-0006 | Journal eISSN: 1897-3191 | Journal ISSN: 1730-413X

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Language: English

Page range: 50 - 61

Submitted on: Mar 2, 2016

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Accepted on: Jun 6, 2016

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Published on: Mar 6, 2017

Published by: University of Gdańsk

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

bacterial biomass,

bacterial composition,

coastal waters of Incheon,

dissolved organic carbon

Related subjects:

Chemistry, other,

Geosciences, other,

Life sciences, other

© 2017 Pengbin Wang, Jae-Hyoung Joo, Bum Soo Park, Joo-Hwan Kim, Jin Ho Kim, Myung-Soo Han, published by University of Gdańsk
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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