Microbial Community Structure and Its Driving Environmental Factors in Black Carp (<i>Mylopharyngodon piceus</i>) Aquaculture Pond
This study focused on monitoring the dynamics of bacterial communities and assessment of the influences of physicochemical parameters during a culture cycle in black carp polyculture ponds. Our results showed high variation in microbial diversity and microbial composition in the water column during...
Guardado en:
Autores principales: | , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2d2c73d054e648f199c0114bf0558193 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:2d2c73d054e648f199c0114bf0558193 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:2d2c73d054e648f199c0114bf05581932021-11-11T19:57:01ZMicrobial Community Structure and Its Driving Environmental Factors in Black Carp (<i>Mylopharyngodon piceus</i>) Aquaculture Pond10.3390/w132130892073-4441https://doaj.org/article/2d2c73d054e648f199c0114bf05581932021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/21/3089https://doaj.org/toc/2073-4441This study focused on monitoring the dynamics of bacterial communities and assessment of the influences of physicochemical parameters during a culture cycle in black carp polyculture ponds. Our results showed high variation in microbial diversity and microbial composition in the water column during the culture period. Proteobacteria, Actinobacteria, and Bacteroidetes were the most abundant phyla, while the abundances of the phyla Cyanobacteria, Firmicutes, and Bacteroidetes changed in different months. Moreover, 13 abundant genera with significant difference were found between different months. Thus, samples in different months were divided into three groups according to principal coordinate analysis (PCoA) and unweighted pair-group method (UPGMA) clustering results. RDA showed that total nitrogen (TN), total phosphorus (TP), phosphate (PO<sub>4</sub><sup>3−</sup>-P), nitrate (NO<sub>3</sub><sup>−</sup>-N), temperature (T), dissolved oxygen (DO), and pH significantly shaped the microbial community composition in different months. While Pearson correlation coefficient showed that T, SD, and pH were strongly correlated to the dominant genera. Considering some genera are potential pathogenic bacteria, we could manage the black carp pond by quickly monitoring the water temperature and SD in the future.Xuemei LiLu LiuYongjiu ZhuTingbing ZhuXingbing WuDeguo YangMDPI AGarticleblack carp aquaculture pondmicrobial communitywater columnenvironmental factorsHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3089, p 3089 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
black carp aquaculture pond microbial community water column environmental factors Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 |
spellingShingle |
black carp aquaculture pond microbial community water column environmental factors Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Xuemei Li Lu Liu Yongjiu Zhu Tingbing Zhu Xingbing Wu Deguo Yang Microbial Community Structure and Its Driving Environmental Factors in Black Carp (<i>Mylopharyngodon piceus</i>) Aquaculture Pond |
description |
This study focused on monitoring the dynamics of bacterial communities and assessment of the influences of physicochemical parameters during a culture cycle in black carp polyculture ponds. Our results showed high variation in microbial diversity and microbial composition in the water column during the culture period. Proteobacteria, Actinobacteria, and Bacteroidetes were the most abundant phyla, while the abundances of the phyla Cyanobacteria, Firmicutes, and Bacteroidetes changed in different months. Moreover, 13 abundant genera with significant difference were found between different months. Thus, samples in different months were divided into three groups according to principal coordinate analysis (PCoA) and unweighted pair-group method (UPGMA) clustering results. RDA showed that total nitrogen (TN), total phosphorus (TP), phosphate (PO<sub>4</sub><sup>3−</sup>-P), nitrate (NO<sub>3</sub><sup>−</sup>-N), temperature (T), dissolved oxygen (DO), and pH significantly shaped the microbial community composition in different months. While Pearson correlation coefficient showed that T, SD, and pH were strongly correlated to the dominant genera. Considering some genera are potential pathogenic bacteria, we could manage the black carp pond by quickly monitoring the water temperature and SD in the future. |
format |
article |
author |
Xuemei Li Lu Liu Yongjiu Zhu Tingbing Zhu Xingbing Wu Deguo Yang |
author_facet |
Xuemei Li Lu Liu Yongjiu Zhu Tingbing Zhu Xingbing Wu Deguo Yang |
author_sort |
Xuemei Li |
title |
Microbial Community Structure and Its Driving Environmental Factors in Black Carp (<i>Mylopharyngodon piceus</i>) Aquaculture Pond |
title_short |
Microbial Community Structure and Its Driving Environmental Factors in Black Carp (<i>Mylopharyngodon piceus</i>) Aquaculture Pond |
title_full |
Microbial Community Structure and Its Driving Environmental Factors in Black Carp (<i>Mylopharyngodon piceus</i>) Aquaculture Pond |
title_fullStr |
Microbial Community Structure and Its Driving Environmental Factors in Black Carp (<i>Mylopharyngodon piceus</i>) Aquaculture Pond |
title_full_unstemmed |
Microbial Community Structure and Its Driving Environmental Factors in Black Carp (<i>Mylopharyngodon piceus</i>) Aquaculture Pond |
title_sort |
microbial community structure and its driving environmental factors in black carp (<i>mylopharyngodon piceus</i>) aquaculture pond |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/2d2c73d054e648f199c0114bf0558193 |
work_keys_str_mv |
AT xuemeili microbialcommunitystructureanditsdrivingenvironmentalfactorsinblackcarpimylopharyngodonpiceusiaquaculturepond AT luliu microbialcommunitystructureanditsdrivingenvironmentalfactorsinblackcarpimylopharyngodonpiceusiaquaculturepond AT yongjiuzhu microbialcommunitystructureanditsdrivingenvironmentalfactorsinblackcarpimylopharyngodonpiceusiaquaculturepond AT tingbingzhu microbialcommunitystructureanditsdrivingenvironmentalfactorsinblackcarpimylopharyngodonpiceusiaquaculturepond AT xingbingwu microbialcommunitystructureanditsdrivingenvironmentalfactorsinblackcarpimylopharyngodonpiceusiaquaculturepond AT deguoyang microbialcommunitystructureanditsdrivingenvironmentalfactorsinblackcarpimylopharyngodonpiceusiaquaculturepond |
_version_ |
1718431339210866688 |