Diversity and Structure of Vegetation Rhizosphere Bacterial Community in Various Habitats of Liaohekou Coastal Wetlands

Liu, Yinchu; Zhang, Guo; Zhang, Peidong; Du, Jie; Gao, Peng; Zhang, Zhiwei

doi:10.3390/su142416396

Cited by 6 publications

(3 citation statements)

References 47 publications

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“…FAPROTAX can effectively predict the variations of bacterial ecological functional profiles [47]. The dominant functions were chemoheterotrophy and aerobic chemoheterotrophy involved in C cycling, which is consistent with the research on the main potential functions of other aquatic plants [48]. Heterotrophic bacteria are often used as decomposers and are responsible for in situ pollution repair and degradation of organic matter in ecosystems [49].…”

Section: Functional Prediction Of Bacterial Communities In Different ...supporting

confidence: 79%

Plant Compartments Shape the Assembly and Network of Vallisneria natans-Associated Microorganisms

et al. 2023

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The submerged plant Vallisneria natans can provide an attachment matrix and habitat for diverse microorganisms and plays an important role in maintaining the structure and function of the shallow lake ecosystem. However, little is known about how V. natans-related microorganism components, especially bacteria, adapt to specific plant compartments. In this study, we investigated the assembly and network of bacterial communities living in different plant compartments (sediment, rhizosphere, rhizoplane, root endosphere, and leaf endosphere) associated with V. natans by 16S rRNA gene sequencing. The results showed that the diversity and network complexity of the bacterial community in the sediment was significantly higher than that in other plant compartments. The bacterial community composition showed that the dominant phyla were Proteobacteria, Bacteroidetes, Actinobacteria, Firmicutes, Desulfobacterota, and Chloroflexi, among which Proteobacteria were extremely abundant in all samples, and there were notable differences in bacterial community composition related to plant compartments. Different networks based on sediment and plant compartments showed distinct co-occurrence patterns and exhibited distinct topological features. Additionally, functional predictions from FAPROTAX indicate that the predominant biogeochemical cycle function of the V. natans-related bacterial community is to participate in the carbon and nitrogen cycle. These results strongly suggested how the microbial community adapted to different plant compartments and provided theoretical and technical data for isolating beneficial bacteria from macrophytes in the future.

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Section: Functional Prediction Of Bacterial Communities In Different ...supporting

confidence: 79%

Plant Compartments Shape the Assembly and Network of Vallisneria natans-Associated Microorganisms

et al. 2023

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“…and archaea participate in the chemical cycle of wetland soil ( Mellado and Vera, 2021 ). Liu et al (2022) reported that the S and N cycles were significantly affected by wetland plant composition and coverage with the participation of bacteria. The results of the present study also indicated that the soil S, N, and C cycles were associated with plant diversity, likely through altering the microbial community.…”

Section: Discussionmentioning

confidence: 99%

Associations of soil bacterial diversity and function with plant diversity in Carex tussock wetland

Shi²,

Wei³

et al. 2023

Front. Microbiol.

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Some species of Carex can form tussocks, which are usually distributed in valleys and flood plains. The soil microbial community diversity and function of micro–habitats formed by tussocks are associated with plant diversity, and research on these associations can guide Carex tussock wetland restoration. In this study, we selected tussock wetlands dominated by Carex appendiculata, including natural wetlands (NW), artificially restored wetlands (ARW), and naturally restored wetlands (NRW), and investigated plant diversity. Soil samples were collected from the quadrats of each sample plot with the maximum (ma), median (me), and minimum (mi) plant Shannon index values, and high-throughput sequencing was used to analyze the bacterial community composition, diversity, and functions. The plant diversity indexes of neither ARW nor NRW significantly differed from that of NW, but the companion species in NRW were hygrophytes and mesophytes, in contrast to only hygrophytes serving as companion species in NW and ARW. The soil bacterial communities at the operational taxonomic unit level of the nine quadrats with different plant Shannon index values significantly (p < 0.01) differed. The relative abundances of the dominant phyla (Proteobacteria, Chloroflexi, and Bacteroidetes) and the dominant genera (Geobacter, Sideroxydans, and Clostridium except for unassigned genera) significantly (p < 0.05) differed under the different levels of plant diversity. The plant Shannon index, soil moisture content, total organic carbon, N, and P were significantly (p < 0.05 or p < 0.01) correlated with the bacterial Shannon index. The phylogenetic diversity of the bacterial community in NW was significantly (p < 0.0001) different from those in ARW and NRW, and that in ARW was also significantly (p < 0.05) different from that in NRW. The functional groups of bacterial communities associated with plant diversity. In the NWme, ARWme, and NRWme bacterial communities, the relative proportions of functional groups related to soil N cycle were higher, but those related to soil S and C cycles were lower. Considering the rehabilitation of both plant and microbial communities, the methods used for establishing the ARW are recommended for Carex tussock wetland restoration.

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“…The Liaohe Estuary National Nature Reserve is situated in the Dawei District of Panjin City, Liaoning Province, and the Liaohe Estuary Ecological and Economic Zone. It is not only one of China's largest coastal estuarine wetlands but also one of the most comprehensive coastal wetland ecosystems worldwide [4]. This area not only harbors abundant biological resources but also serves as a breeding ground, wintering ground, and migratory bird stopover for various waterfowl species [5].…”

Section: Introductionmentioning

confidence: 99%

Mapping and Classification of the Liaohe Estuary Wetland Based on the Combination of Object-Oriented and Temporal Features

Guo,

Feng,

Wang

et al. 2024

IEEE Access

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For the protection, restoration, and sustainable management of wetland ecosystems, precision in extracting high-quality wetland land cover information is crucial. This study focused on the National Nature Reserve of Liaohe Estuary in Panjin City, Liaoning Province, China. To overcome the challenge of spectral similarity among wetland land covers and the occurrence of the "salt-and-pepper" effect where certain land parcels get misclassified into multiple categories by conventional methods, an approach combining object-oriented techniques and temporal features was employed for accurate wetland land cover classification. The analysis utilized multi-temporal Sentinel-2 multispectral images. Initially, the images underwent segmentation using the SNIC method to generate uniform polygons, effectively mitigating misclassification issues. Subsequently, texture, geometry, band reflectance, and spectral deviation features were extracted for each segmented object. A total of 57 features, including vegetation and moisture components, were integrated to construct temporal characteristics. By applying the Random Forest (RF) algorithm in combination with Recursive Feature Elimination (ERT), 18 significant features influencing wetland extraction were identified. These selected features were then utilized to train a Random Forest (RF) model for classifying wetland land cover in the study area. The findings revealed that the integrated object-oriented and temporal feature classification approach achieved an impressive overall accuracy of 95.52% and a Kappa coefficient of 0.95 for the Liaohe Estuary wetland region. The accuracy for various land cover types reached 0.87 for both user and mapping accuracy. Compared to alternative machine learning algorithms such as SegUnet++, SVM, and RF, the proposed method demonstrated a performance increase of 16.35%, 14.06%, and 6.14%, respectively. The incorporation of temporal features notably reduced land cover misclassifications, resulting in a 6.14% increase in overall accuracy and a 0.06 improvement in the Kappa coefficient compared to a method lacking temporal features. Particularly for categories like canals, aquaculture, rivers, and reservoirs, producer accuracy improved by over 7.5% and user accuracy by more than 9%, except for rivers. The effectiveness of the object-oriented approach was evident in addressing the "salt-and-pepper" effect, showcasing a rise of 2.81% in overall accuracy and 0.03% in Kappa coefficient compared to an approach not utilizing object-oriented techniques. In summary, the proposed classification method, integrating object-oriented methods and temporal features, offers superior accuracy in fine wetland land cover classification and mapping. INDEX TERMS Image classification; Object oriented methods; Time series

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Diversity and Structure of Vegetation Rhizosphere Bacterial Community in Various Habitats of Liaohekou Coastal Wetlands

Cited by 6 publications

References 47 publications

Plant Compartments Shape the Assembly and Network of Vallisneria natans-Associated Microorganisms

Plant Compartments Shape the Assembly and Network of Vallisneria natans-Associated Microorganisms

Associations of soil bacterial diversity and function with plant diversity in Carex tussock wetland

Mapping and Classification of the Liaohe Estuary Wetland Based on the Combination of Object-Oriented and Temporal Features

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