Interactome‐based abiotic and biotic impacts on biodiversity of plankton communities in disturbed wetlands

Abstract

Aim: Despite great efforts for conservation, biodiversity in wetland ecosystems is still losing at an alarming rate. Thus, it is crucial to deeply understand ecological processes and mechanisms that potentially affect the loss of biodiversity.Location: Sanjiang wetland in Sanjiang floodplain, north-east China.Methods: Biological samples and environmental data were collected from five approximate habitats under different anthropogenic disturbance levels from Sanjiang wetland.Biodiversity of plankton communities (i.e., bacterioplankton and zooplankton) was characterized by high-throughput sequencing-based metabarcoding. Multidisciplinary methods including interactome-based construction of scale-free networks were employed to examine the complex biotic interactions and abiotic influence on plankton biodiversity. Results:Both environmental variables and community composition of plankton communities varied significantly among five habitats. Environmental filtering was identified as the dominant ecological process that drove the distinct community composition and geographical distribution of biodiversity. However, the significantly influential factors were different for bacterioplankton (e.g., pH and As) and zooplankton communities (e.g., NH 4 and TP). In total, environmental factors could explain approximately 30% of community variation for both types of plankton communities. Based on interactome networks, more organism-associated edges were identified than environment-associated edges. Such a pattern suggests that, in addition to environmental influence, biotic interactions also play a crucial role to shape biodiversity variation. Main conclusions: Both abiotic factors and biotic interactions largely contributedto the distinct composition and geographical distribution of bacterioplankton and zooplankton communities in Sanjiang wetland. Therefore, the interactome-based investigation is recommended to examine synthesized impacts of abiotic and biotic variables, and such a comprehensive survey can largely facilitate our understanding of ecological processes and associated mechanisms that drive the loss of wetland biodiversity. Results from comprehensive surveys can help identify conservation priorities and improve the predictability of conservation programmes. K E Y W O R D Sbiodiversity, conservation, interactome, plankton communities, water pollution, wetland | 1417 YANG et Al.

Phytoplankton Community Structure Dynamics in Relation to Water Environmental Factors in Zhalong Wetland

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Behavioral Avoidance Response of Daphnia to Fungal Infection Caused by Metschnikowia Species in a Temperate Reservoir

“…The surface layers of the B-zone and C-zone had low densities of D. pulicaria . Although these different spatial distribution patterns can be interpreted from various aspects, including biological factors, such as competition, predation, and food source, and non-biological factors, such as physicochemical variables and nutrients [ 59 , 60 ], the effect of predators is assumed to be the most influencing factor based on the environmental characteristics of the Anri Reservoir. The three fish species found in the study site frequently use cladocerans, including D. pulicaria , as food sources [ 61 , 62 ].…”

Assessing larval fish diversity and conservation needs in the Luzon strait using DNA barcoding

“…Cluster I included eight western stations (LS1, LS2, LS3, LS4, LS5, LS13, LS14 and LS15), while cluster II included seven eastern stations (LS6, LS7, LS8, LS9, LS10, LS11 and LS12). The significance of dissimilarity in species composition between two clusters was further assessed using the analysis of similarity (ANOSIM) test (Xiong et al, 2019;Yang et al, 2019a). Both the NMDS analysis and ANOSIM test were conducted using online Omicshare CloudTools (http://www.omicshare.com/tools).…”