Interactions of soil metals with glomalin-related soil protein as soil pollution bioindicators in mangrove wetland ecosystems
Graphical abstract
Introduction
Arbuscular mycorrhizal (AM) fungi form mutualistic associations with the roots of >80% of land plants on earth (Smith and Read, 2010), which increases stabilization or removal of heavy metals, and plays a crucial role in soil environmental processes (Ma et al., 2019). Those ecological roles of AM fungi are in fact linked with the production of a novel AM-fungal substance, glomalin-related soil protein (GRSP), which is an operationally defined heterogenous organic fraction (Rillig, 2004; Wright and Upadhyaya, 1998). GRSP has been described within mycorrhizal fungal cell walls, and accumulates in soil after the fungal hyphae senesce and decompose (Driver et al., 2005), and further contributes to soil metal binding and stabilization (Gonzalez-Chavez et al., 2004).
GRSP possesses a high binding capacity for metals such as Cu and Cd (Cornejo et al., 2008; Gonzalez-Chavez et al., 2004; Jia et al., 2016); while GRSP and associated metals can be transported by soil erosion and river, and it is deposited in floodplain soils, accretion areas and coastal systems (Adame et al., 2012; Chern et al., 2007; Harner et al., 2004). GRSP is transported to the coastal anoxic environments where it accumulates and remains non-degraded, enabling the assessment of its potential as a palaeoecological proxy for soil organic matter accrual and ecosystem health (López-Merino et al., 2015). Thus, further description of the characteristics of GRSP fraction in the terrestrial-aquatic environment can provide new information on its importance as a sink and source of metals in coastal wetland ecosystem (Adame et al., 2010; Adame et al., 2012; Wang et al., 2018a).
Mangrove wetlands along coastlines throughout the tropics and subtropics are a key ecological buffer zone that links terrestrial and marine environments (Bouillon et al., 2008; Rovai et al., 2018). Multi-source heavy metals including agricultural, industrial and natural origins are ultimately discharged by soil erosion and runoff from land into the coastal mangrove wetland, causing significant pollution and degradation (Wang et al., 2013). Thus it is crucial to identify the sources of heavy metals in coastal wetland for designing pollution controls and remediation strategies. Multivariate analyses such as principal component analysis, the non-metric multidimensional scaling and cluster analysis are valuable tools for identifying sources of heavy metals in soil (Ma et al., 2016). These procedures, coupled with bioindicators, are proven to be more accurate to identify the pollution source (Dragovic and Mihailovic, 2009). Previous studies demonstrated that GRSP can be used as a bioindicator of terrestrial-marine linkages and soil quality (Adame et al., 2012), and is an important carrier for metal loading in coastal wetland soils (Chern et al., 2007) and form a potential depositional store (Wang et al., 2018b; Wang et al., 2019a). However, there is no known knowledge in whether GRSP fraction can be used as a bioindicator of soil metal pollution when GRSP and associated metals are transported into coastal wetlands. The proportion of GRSP in fungal hyphae can be affected by environmental factors (Rillig and Steinberg, 2002) and can vary among fungal species and isolates (Wright and Upadhyaya, 1996). However, current studies have not revealed the chemical components of GRSP produced from different AM fungi, whether its chemical components have environmental specific features and whether GRSP can serve as a bioindicator of soil pollution source identification.
The overall objective was to combine the microcosm experiment with large-scale field investigation to comprehensively assess GRSP as a bioindicator for metal pollution in mangrove soils. Specifically, the present study aimed to: (i) characterize the molecular components of the original GRSP and the environmental GRSP and to further identify and classify pollution sources at large-scale mangrove areas; (ii) analyze the metal sequestration capacities and contributions of GRSP and its interaction with the mangrove soil environment; (iii) explore the response and feedback of GRSP-bound metals to mangrove soil pollution.
Section snippets
Sample collection
The over 1000 km coastline of China spans four provinces (Fujian, Guangdong, Guangxi and Hainan provinces) and includes seven important mangrove natural reserves (Yunxiao in Zhangjiang Estuary (YX), Fugong in Jiulong Estuary (FG), Quanzhou Bay (QZ), Futian in Shenzhen Bay (FT), Zhanjiang (ZJ), Beilun Estuary (BL) and Dongzhai Harbor (DZ)) (Fig. 1, Table S1). Those regions represent major mangrove soil textures including mud, mud/sand mixed texture and sand (Ding et al., 2009). The sampling was
Sample classification and pollution source identification
During the sampling campaign, we investigated the major mangrove natural reserves in China, from subtropical to tropical regions (Table S1). Sampling sites were further separated into three groups according to the comprehensive field pedological research and local economic development investigation and previous studies in mangrove regions, namely, agricultural (YX, FG and DZ; Group 1), industrial (QZ, ZJ and FT; Group 2) and undeveloped sites (BL Estuary; Group 3) (Fig. 1a, Table S1). The heavy
GRSP, a bioindicator of mangrove soil pollution
Up to now, there are few studies on comprehensive monitoring of heavy metal pollution and its source identification in the large-scale mangrove regions (Liu et al., 2014). Thus, to better understand the current major pollution sources is important for resilience of mangrove ecosystems and, in particular, China's seafood industry (An et al., 2007). The studied heavy metal concentrations ranged widely, indicating that some areas were impacted by terrestrial pollution sources as expected while
Conclusions
We found that GRSP can be used as a bioindicator of coastal mangrove soil pollution based on the characteristics of infrared fingerprints and molecular component ratios of GRSP, coupled with multivariate analyses. Chemical and FTIR analyses found that the functional groups of GRSP were associated with hydrocarbons, proteins, polysaccharides and nucleic acids, which included hydroxyl (–OH), amide (–CO-NH), carboxyl (–COO-), and carbonyl (–C=O) functional groups and contributed to heavy metal
Declaration of competing interests
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
This work was kindly supported by National Important Scientific Research Programme of China (2018YFC1406603, 2016YFA0601402), and National Natural Science Foundation of China (31530008, 31570503).
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2022, Journal of Hazardous MaterialsCitation Excerpt :Hence, GRSP was suggested to be closely associated with heavy metals in the spatial distribution. Electrostatic interaction and complexation adsorption were speculated to be the primary mechanisms of metal ions binding to GRSP in the previous investigates (Cornejo et al., 2008; Wang et al., 2020b). The similarity of pH–charge curves at varied ionic strengths (Fig. 4) indicated that the ionic strength had little effect on the surface charge of GRSP.