1
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Laine AL, Tylianakis JM. The coevolutionary consequences of biodiversity change. Trends Ecol Evol 2024; 39:745-756. [PMID: 38705768 DOI: 10.1016/j.tree.2024.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 04/03/2024] [Accepted: 04/05/2024] [Indexed: 05/07/2024]
Abstract
Coevolutionary selection is a powerful process shaping species interactions and biodiversity. Anthropogenic global environmental change is reshaping planetary biodiversity, including by altering the structure and intensity of interspecific interactions. However, remarkably little is understood of how coevolutionary selection is changing in the process. Here, we outline three interrelated pathways - change in evolutionary potential, change in community composition, and shifts in interaction trait distributions - that are expected to redirect coevolutionary selection under biodiversity change. Assessing how both ecological and evolutionary rules governing species interactions are disrupted under anthropogenic global change is of paramount importance to understand the past, present, and future of Earth's biodiversity.
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Affiliation(s)
- Anna-Liisa Laine
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, Viikinkaari 1 (PO Box 65), University of Helsinki, FI-00014 Helsinki, Finland.
| | - Jason M Tylianakis
- Bioprotection Aotearoa, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
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2
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Wang B, Hu K, Li C, Zhang Y, Hu C, Liu Z, Ding J, Chen L, Zhang W, Fang J, Zhang H. Geographic distribution of bacterial communities of inland waters in China. ENVIRONMENTAL RESEARCH 2024; 249:118337. [PMID: 38325783 DOI: 10.1016/j.envres.2024.118337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/08/2024] [Accepted: 01/27/2024] [Indexed: 02/09/2024]
Abstract
Microorganisms are integral to freshwater ecological functions and, reciprocally, their activity and diversity are shaped by the ecosystem state. Yet, the diversity of bacterial community and its driving factors at a large scale remain elusive. To bridge this knowledge gap, we delved into an analysis of 16S RNA gene sequences extracted from 929 water samples across China. Our analyses revealed that inland water bacterial communities showed a weak latitudinal diversity gradient. We found 530 bacterial genera with high relative abundance of hgcI clade. Among them, 29 core bacterial genera were identified, that is strongly linked to mean annual temperature and nutrient loadings. We also detected a non-linear response of bacterial network complexity to the increasing of human pressure. Mantel analysis suggested that MAT, HPI and P loading were the major factors driving bacterial communities in inland waters. The map of taxa abundance showed that the abundant CL500-29 marine group in eastern and southern China indicated high eutrophication risk. Our findings enhance our understanding of the diversity and large-scale biogeographic pattern of bacterial communities of inland waters and have important implications for microbial ecology.
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Affiliation(s)
- Binhao Wang
- School of Engineering, Hangzhou Normal University, Hangzhou, 310018, China
| | - Kaiming Hu
- School of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 311121, China
| | - Chuqiao Li
- School of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 311121, China
| | - Yinan Zhang
- School of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 311121, China
| | - Chao Hu
- School of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 311121, China
| | - Zhiquan Liu
- School of Engineering, Hangzhou Normal University, Hangzhou, 310018, China
| | - Jiafeng Ding
- School of Engineering, Hangzhou Normal University, Hangzhou, 310018, China
| | - Lin Chen
- Hangzhou Xixi National Wetland Park Ecology & Culture Research Center, Hangzhou, 310030, China; Zhejiang Xixi Wetland Ecosystem National Observation and Research Station, Hangzhou, 310030, China
| | - Wei Zhang
- Hangzhou Xixi National Wetland Park Ecology & Culture Research Center, Hangzhou, 310030, China; Zhejiang Xixi Wetland Ecosystem National Observation and Research Station, Hangzhou, 310030, China
| | - Jing Fang
- Hangzhou Xixi National Wetland Park Ecology & Culture Research Center, Hangzhou, 310030, China; Zhejiang Xixi Wetland Ecosystem National Observation and Research Station, Hangzhou, 310030, China
| | - Hangjun Zhang
- School of Engineering, Hangzhou Normal University, Hangzhou, 310018, China; Hangzhou International Urbanology Research Center and Center for Zhejiang Urban Governance Studies, Hangzhou, 311121, China.
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3
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Zhang H, Xu Y, Liu X, Ma B, Huang T, Kosolapov DB, Liu H, Guo H, Liu T, Ni T, Zhang X. Different seasonal dynamics, ecological drivers, and assembly mechanisms of algae in southern and northern drinking water reservoirs. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 922:171285. [PMID: 38423304 DOI: 10.1016/j.scitotenv.2024.171285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 02/05/2024] [Accepted: 02/24/2024] [Indexed: 03/02/2024]
Abstract
The role of environmental factors on the community structure of algae has been intensively studied, but there are few analyses on the assembly mechanism of the algal community structure. Here, changes in the community structure of algae in different seasons, the effects of environmental variables on the algal community structure, and the assembly mechanism of the algal community structure in northern and southern reservoirs were investigated in this study. The study revealed that Bacillariophyta, Cyanophyta, and Chlorophyta were the predominant algal species in the reservoirs, with Bacillariophyta and Cyanophyta exhibiting seasonal outbreaks. Compared to the northern reservoirs, the algal diversity in the southern reservoirs was greater. The diversity and algal community structure could be significantly impacted by variations in water temperature and nitrogen level. According to the ecological model, the interaction among algal communities in reservoirs was primarily cooperation. The key taxa in the northern reservoirs was Aphanizomenon sp., while the outbreak in the southern reservoirs was Coelosphaerium sp. The community formation pattern of reservoirs was stochastic, with a higher degree of explanation observed in the southern reservoirs compared to the northern reservoirs. This study preliminarily explored the assembly mechanism of the algal community, providing a theoretical basis for the control of eutrophication in drinking water reservoirs.
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Affiliation(s)
- Haihan Zhang
- Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an 710055, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountains, Xi'an University of Architecture and Technology, Xi'an 710055, China.
| | - Yue Xu
- Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an 710055, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountains, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Xiang Liu
- Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an 710055, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountains, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Ben Ma
- Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an 710055, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountains, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Tinglin Huang
- Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an 710055, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountains, Xi'an University of Architecture and Technology, Xi'an 710055, China.
| | - Dmitry B Kosolapov
- Papanin Institute for Biology of Inland Waters of Russian Academy of Sciences (IBIW RAS), 109, Borok, Nekouz, Yaroslavl 152742, Russia
| | - Hanyan Liu
- Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an 710055, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountains, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Honghong Guo
- Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an 710055, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountains, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Tao Liu
- Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an 710055, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountains, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Tongchao Ni
- Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an 710055, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountains, Xi'an University of Architecture and Technology, Xi'an 710055, China
| | - Xiaoli Zhang
- Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an 710055, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountains, Xi'an University of Architecture and Technology, Xi'an 710055, China
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Wang B, Ma B, Zhang Y, Stirling E, Yan Q, He Z, Liu Z, Yuan X, Zhang H. Global diversity, coexistence and consequences of resistome in inland waters. WATER RESEARCH 2024; 253:121253. [PMID: 38350193 DOI: 10.1016/j.watres.2024.121253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 01/04/2024] [Accepted: 02/01/2024] [Indexed: 02/15/2024]
Abstract
Human activities have long impacted the health of Earth's rivers and lakes. These inland waters, crucial for our survival and productivity, have suffered from contamination which allows the formation and spread of antibiotic-resistant genes (ARGs) and consequently, ARG-carrying pathogens (APs). Yet, our global understanding of waterborne pathogen antibiotic resistance remains in its infancy. To shed light on this, our study examined 1240 metagenomic samples from both open and closed inland waters. We identified 22 types of ARGs, 19 types of mobile genetic elements (MGEs), and 14 types of virulence factors (VFs). Our findings showed that open waters have a higher average abundance and richness of ARGs, MGEs, and VFs, with more robust co-occurrence network compared to closed waters. Out of the samples studied, 321 APs were detected, representing a 43 % detection rate. Of these, the resistance gene 'bacA' was the most predominant. Notably, AP hotspots were identified in regions including East Asia, India, Western Europe, the eastern United States, and Brazil. Our research underscores how human activities profoundly influence the diversity and spread of resistome. It also emphasizes that both abiotic and biotic factors play pivotal roles in the emergence of ARG-carrying pathogens.
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Affiliation(s)
- Binhao Wang
- School of Engineering, Hangzhou Normal University, Hangzhou 310018, PR China
| | - Bin Ma
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, PR China; Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, PR China
| | - Yinan Zhang
- School of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 310036, PR China
| | - Erinne Stirling
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Adelaide 5064, Australia; School of Biological Sciences, The University of Adelaide, Adelaide 5005, Australia
| | - Qingyun Yan
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519080, PR China
| | - Zhili He
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519080, PR China
| | - Zhiquan Liu
- School of Engineering, Hangzhou Normal University, Hangzhou 310018, PR China
| | - Xia Yuan
- School of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 310036, PR China
| | - Hangjun Zhang
- School of Engineering, Hangzhou Normal University, Hangzhou 310018, PR China; Hangzhou International Urbanology Research Center and Center for Zhejiang Urban Governance Studies, Hangzhou, 311121, PR China.
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5
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Wang X, Cai J, Tong M, Shi M, Zhao Z, Li S, Tu T. Heterospecific pollen avoidance strategy prevails in the generalized plant-pollinator network on Yongxing Island. Ecol Evol 2024; 14:e11123. [PMID: 38444723 PMCID: PMC10912527 DOI: 10.1002/ece3.11123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 02/19/2024] [Accepted: 02/25/2024] [Indexed: 03/07/2024] Open
Abstract
Heterospecific pollen (HP) deposition varies widely among species in communities, which has been explicated by two adaptation strategies: HP avoidance and HP tolerance. Studies of the plant-pollinator network have uncovered that oceanic island communities are highly generalized and strongly connected. It remains unclear, however, which strategy prevails in such communities. We examined stigma pollen deposition on 29 plant species, and assessed patterns of HP load size and diversity in the Yongxing Island community. We assessed the effects of phenotypic specialization and species-level network structural properties of plant species on pollen deposition among species. The hypothesis of three accrual patterns of HP within species was tested by illustrating the relationship between conspecific pollen (CP) and HP receipt. Extensive variation occurred among species in HP receipt, while 75.9% of species received less than 10% HP and one species received more than 40% HP throughout the community. Flower size strongly drives the variation of HP receipt, while network structural properties had no effect on the pollen receipt. Nineteen species showed no relationship between the number of HP and CP loads, and they received smaller HP load sizes and lower HP proportions. Most plant species evolved HP avoidance strategy, and HP receipt was an occasional event for most plant species in the generalized community. HP and CP receipts are independent of each other in plant species with the HP avoidance mechanism. Our results highlight that plants in the generalized pollination system may preferentially select to minimize the HP load on stigmas.
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Affiliation(s)
- Xiang‐Ping Wang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical GardenChinese Academy of SciencesGuangzhouChina
- South China National Botanical GardenGuangzhouChina
| | - Jin‐Chao Cai
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical GardenChinese Academy of SciencesGuangzhouChina
- South China National Botanical GardenGuangzhouChina
- Gannan Normal UniversityGanzhouChina
| | - Ma‐Yin Tong
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical GardenChinese Academy of SciencesGuangzhouChina
- South China National Botanical GardenGuangzhouChina
- University of Chinese Academy of SciencesBeijingChina
| | - Miao‐Miao Shi
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical GardenChinese Academy of SciencesGuangzhouChina
- South China National Botanical GardenGuangzhouChina
| | - Zhong‐Tao Zhao
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical GardenChinese Academy of SciencesGuangzhouChina
- South China National Botanical GardenGuangzhouChina
| | - Shi‐Jin Li
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical GardenChinese Academy of SciencesGuangzhouChina
- South China National Botanical GardenGuangzhouChina
| | - Tie‐Yao Tu
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical GardenChinese Academy of SciencesGuangzhouChina
- South China National Botanical GardenGuangzhouChina
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6
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Krasnov BR, Shenbrot GI, Khokhlova IS, López Berrizbeitia MF, Matthee S, Sanchez JP, VAN DER Mescht L. Environment and traits affect parasite and host species positions but not roles in flea-mammal networks. Integr Zool 2024. [PMID: 38263720 DOI: 10.1111/1749-4877.12799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
We studied spatial variation in the effects of environment and network size on species positions and roles in multiple flea-mammal networks from four biogeographic realms. We asked whether species positions (measured as species strength [SS], the degree of interaction specialization [d'], and the eigenvector centrality [C]) or the roles of fleas and their hosts in the interaction networks: (a) are repeatable/conserved within a flea or a host species; (b) vary in dependence on environmental variables and/or network size; and (c) the effects of environment and network size on species positions or roles in the networks depend on species traits. The repeatability analysis of species position indices for 441 flea and 429 host species, occurring in at least two networks, demonstrated that the repeatability of SS, d', and C within a species was significant, although not especially high, suggesting that the indices' values were affected by local factors. The majority of flea and host species in the majority of networks demonstrated a peripheral role. A value of at least one index of species position was significantly affected by environmental variables or network size in 41 and 36, respectively, of the 52 flea and 52 host species that occurred in multiple networks. In both fleas and hosts, the occurrence of the significant effect of environment or network size on at least one index of species position, but not on a species' role in a network, was associated with some species traits.
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Affiliation(s)
- Boris R Krasnov
- Mitrani Department of Desert Ecology, Swiss Institute for Dryland Environmental and Energy Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, Israel
| | - Georgy I Shenbrot
- Mitrani Department of Desert Ecology, Swiss Institute for Dryland Environmental and Energy Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, Israel
| | - Irina S Khokhlova
- French Associates Institute for Agriculture and Biotechnology of Drylands, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, Israel
| | - M Fernanda López Berrizbeitia
- Programa de Conservación de los Murciélagos de Argentina (PCMA) and Instituto de Investigaciones de Biodiversidad Argentina (PIDBA)-CCT CONICET Noa Sur (Consejo Nacional de Investigaciones Científicas y Técnicas), Facultad de Ciencias Naturales e IML, UNT, and Fundación Miguel Lillo, San Miguel de Tucumán, Argentina
| | - Sonja Matthee
- Department of Conservation Ecology and Entomology, Stellenbosch University, Matieland, South Africa
| | - Juliana P Sanchez
- Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires-CITNOBA (CONICET-UNNOBA), Pergamino, Argentina
| | - Luther VAN DER Mescht
- Clinvet International (Pty) Ltd, Bloemfontein, South Africa
- Department of Zoology and Entomology, University of the Free State, Bloemfontein, South Africa
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Lian K, Liu F, Li Y, Wang C, Zhang C, McMinn A, Wang M, Wang H. Environmental gradients shape microbiome assembly and stability in the East China sea. ENVIRONMENTAL RESEARCH 2023; 238:117197. [PMID: 37783325 DOI: 10.1016/j.envres.2023.117197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/13/2023] [Accepted: 09/14/2023] [Indexed: 10/04/2023]
Abstract
Microbiomes play a key role in marine ecosystem functioning and sustainability. Their organization and stability in coastal areas, particularly in anthropogenic-influenced regions, however, remains unclear compared with an understanding of how microbial community shifts respond to marine environmental gradients. Here, the assembly and community associations across vertical and horizontal gradients in the East China Sea are systematically researched. The seawater microbial communities possessed higher robustness and lower fragmentation and vulnerability compared to the sediment microbiomes. Spatial gradients act as a deterministic filtering factor for microbiome organization. Microbial communities had lower phylogenetic distance and higher niche breadth in the nearshore and offshore areas compared to intermediate areas. The phylogenetic distance of microbiomes decreased from the surface to the bottom but the niche breadth was enhanced in surface and bottom environments. Vertical gradients destabilized microbial associations, while the community diversity was enhanced. Multivariate regression tree analysis and canonical correspondence analysis indicated that depth, distance from shore, nutrient availability, temperature, salinity, and chlorophyll a, affected the distribution and co-occurrence of microbial groups. Our results highlight the crucial roles of environmental gradients in determining microbiome association and stability. These results improve our understanding of the survival strategies/adaptive mechanisms of microbial communities in response to environmental variation and provide new insights for protecting the ecosystems and maintaining the sustainability of ecological functions.
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Affiliation(s)
- Kaiyue Lian
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Lab of Polar Oceanography and Global Ocean Change, Ocean University of China, Qingdao, 266003, China; UMT-OUC Joint Center for Marine Studies, Qingdao, 266003, China
| | - Feilong Liu
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Lab of Polar Oceanography and Global Ocean Change, Ocean University of China, Qingdao, 266003, China; UMT-OUC Joint Center for Marine Studies, Qingdao, 266003, China
| | - Yi Li
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Lab of Polar Oceanography and Global Ocean Change, Ocean University of China, Qingdao, 266003, China; UMT-OUC Joint Center for Marine Studies, Qingdao, 266003, China
| | - Can Wang
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Lab of Polar Oceanography and Global Ocean Change, Ocean University of China, Qingdao, 266003, China; UMT-OUC Joint Center for Marine Studies, Qingdao, 266003, China
| | - Chuyu Zhang
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Lab of Polar Oceanography and Global Ocean Change, Ocean University of China, Qingdao, 266003, China; UMT-OUC Joint Center for Marine Studies, Qingdao, 266003, China
| | - Andrew McMinn
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, 7005, Australia
| | - Min Wang
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Lab of Polar Oceanography and Global Ocean Change, Ocean University of China, Qingdao, 266003, China; UMT-OUC Joint Center for Marine Studies, Qingdao, 266003, China
| | - Hualong Wang
- College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Lab of Polar Oceanography and Global Ocean Change, Ocean University of China, Qingdao, 266003, China; UMT-OUC Joint Center for Marine Studies, Qingdao, 266003, China.
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8
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Graham NR, Krehenwinkel H, Lim JY, Staniczenko P, Callaghan J, Andersen JC, Gruner DS, Gillespie RG. Ecological network structure in response to community assembly processes over evolutionary time. Mol Ecol 2023; 32:6489-6506. [PMID: 36738159 DOI: 10.1111/mec.16873] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 01/07/2023] [Accepted: 01/25/2023] [Indexed: 02/05/2023]
Abstract
The dynamic structure of ecological communities results from interactions among taxa that change with shifts in species composition in space and time. However, our ability to study the interplay of ecological and evolutionary processes on community assembly remains relatively unexplored due to the difficulty of measuring community structure over long temporal scales. Here, we made use of a geological chronosequence across the Hawaiian Islands, representing 50 years to 4.15 million years of ecosystem development, to sample 11 communities of arthropods and their associated plant taxa using semiquantitative DNA metabarcoding. We then examined how ecological communities changed with community age by calculating quantitative network statistics for bipartite networks of arthropod-plant associations. The average number of interactions per species (linkage density), ratio of plant to arthropod species (vulnerability) and uniformity of energy flow (interaction evenness) increased significantly in concert with community age. The index of specializationH 2 ' has a curvilinear relationship with community age. Our analyses suggest that younger communities are characterized by fewer but stronger interactions, while biotic associations become more even and diverse as communities mature. These shifts in structure became especially prominent on East Maui (~0.5 million years old) and older volcanos, after enough time had elapsed for adaptation and specialization to act on populations in situ. Such natural progression of specialization during community assembly is probably impeded by the rapid infiltration of non-native species, with special risk to younger or more recently disturbed communities that are composed of fewer specialized relationships.
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Affiliation(s)
- Natalie R Graham
- Department of Environmental Sciences Policy and Management, University of California Berkeley, Berkeley, California, USA
| | - Henrik Krehenwinkel
- Department of Biogeography, Faculty of Regional and Environmental Sciences, Trier University, Trier, Germany
| | - Jun Ying Lim
- Department of Biological Sciences, National University of Singapore, Singapore
| | - Phillip Staniczenko
- Department of Biology, Brooklyn College, City University of New York, New York, New York, USA
| | - Jackson Callaghan
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, San Diego, California, USA
| | - Jeremy C Andersen
- Department of Environmental Conservation, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Daniel S Gruner
- Department of Entomology, University of Maryland, College Park, Maryland, USA
| | - Rosemary G Gillespie
- Department of Environmental Sciences Policy and Management, University of California Berkeley, Berkeley, California, USA
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9
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Chen C, Li P, Yin M, Wang J, Sun Y, Ju W, Liu L, Li ZH. Deciphering characterization of seasonal variations in microbial communities of marine ranching: Diversity, co-occurrence network patterns, and assembly processes. MARINE POLLUTION BULLETIN 2023; 197:115739. [PMID: 37925991 DOI: 10.1016/j.marpolbul.2023.115739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 09/25/2023] [Accepted: 10/30/2023] [Indexed: 11/07/2023]
Abstract
Offshore coastal marine ranching ecosystems are one of the most productive ecosystems. The results showed that the composition and structure of the microbial communities varied considerably with the season. Co-occurrence network analysis demonstrated that the microbial network was more complex in summer and positively correlated links (cooperative or symbiotic) were dominated in autumn and winter. Null model indicated that the ecological processes of the bacterial communities were mainly governed by deterministic processes (mainly homogeneous selection) in summer. For microeukaryotic communities, assembly processes were more regulated by stochastic processes in all seasons. For rare taxa, assembly processes were regulated by stochastic processes and were not affected by seasonality. Changes in water temperature due to seasonal variations were the main, but not the only, environmental factor driving changes in microbial communities. This study will improve the understanding of offshore coastal ecosystems through the perspective of microbial ecology.
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Affiliation(s)
- Chengzhuang Chen
- Marine College, Shandong University, Weihai, Shandong 264209, China
| | - Ping Li
- Marine College, Shandong University, Weihai, Shandong 264209, China
| | - Minghao Yin
- Marine College, Shandong University, Weihai, Shandong 264209, China
| | - Jinxin Wang
- Marine College, Shandong University, Weihai, Shandong 264209, China
| | - Yongjun Sun
- Homey Group Co. Ltd, Rongcheng, Shandong 264306, China
| | - Wenming Ju
- Homey Group Co. Ltd, Rongcheng, Shandong 264306, China
| | - Ling Liu
- Marine College, Shandong University, Weihai, Shandong 264209, China
| | - Zhi-Hua Li
- Marine College, Shandong University, Weihai, Shandong 264209, China.
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10
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Moulatlet GM, Dáttilo W, Villalobos F. Species-level drivers of avian centrality within seed-dispersal networks across different levels of organisation. J Anim Ecol 2023; 92:2126-2137. [PMID: 37454385 DOI: 10.1111/1365-2656.13986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 07/03/2023] [Indexed: 07/18/2023]
Abstract
Bird-plant seed-dispersal networks are structural components of ecosystems. The role of bird species in seed-dispersal networks (from less [peripheral] to more connected [central]), determines the interaction patterns and their ecosystem services. These roles may be driven by morphological and functional traits as well as evolutionary, geographical and environmental properties acting at different spatial extents. It is still unknown if such drivers are equally important in determining species centrality at different network levels, from individual local networks to the global meta-network representing interactions across all local networks. Using 308 networks covering five continents and 11 biogeographical regions, we show that at the global meta-network level species' range size was the most important driver of species centrality, with more central species having larger range sizes, which would facilitate the interaction with a higher number of plants and thus the maintenance of seed-dispersal interactions. At the local network level, body mass was the only driver with a significant effect, implying that local factors related to resource availability are more important at this level of network organisation than those related to broad spatial factors such as range sizes. This could also be related to the mismatch between species-level traits, which do not consider intraspecific variation, and the local networks that can depend on such variation. Taken together, our results show that the drivers determining species centrality are relative to the levels of network organisation, suggesting that prediction of species functional roles in seed-dispersal interactions requires combined local and global approaches.
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Affiliation(s)
| | - Wesley Dáttilo
- Red de Ecoetología, Instituto de Ecología A.C., Xalapa, Mexico
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11
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Lanuza JB, Allen-Perkins A, Bartomeus I. The non-random assembly of network motifs in plant-pollinator networks. J Anim Ecol 2023; 92:760-773. [PMID: 36700304 DOI: 10.1111/1365-2656.13889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 01/23/2023] [Indexed: 01/27/2023]
Abstract
Ecological processes leave distinct structural imprints on the species interactions that shape the topology of animal-plant mutualistic networks. Detecting how direct and indirect interactions between animals and plants are organised is not trivial since they go beyond pairwise interactions, but may get blurred when considering global network descriptors. Recent work has shown that the meso-scale, the intermediate level of network complexity between the species and the global network, can capture this important information. The meso-scale describes network subgraphs representing patterns of direct and indirect interactions between a small number of species, and when these network subgraphs differ statistically from a benchmark, they are often referred to as 'network motifs'. Although motifs can capture relevant ecological information of species interactions, they remain overlooked in natural plant-pollinator networks. By exploring 60 empirical plant-pollinator networks from 18 different studies with wide geographical coverage, we show that some network subgraphs are consistently under- or over-represented, suggesting the presence of worldwide network motifs in plant-pollinator networks. In addition, we found a higher proportion of densely connected network subgraphs that, based on previous findings, could reflect that species relative abundances are the main driver shaping the structure of the meso-scale on plant-pollinator communities. Moreover, we found that distinct subgraph positions describing species ecological roles (e.g. generalisation and number of indirect interactions) are occupied by different groups of animal and plant species representing their main life-history strategies (i.e. functional groups). For instance, we found that the functional group of 'bees' was over-represented in subgraph positions with a lower number of indirect interactions in contrast to the rest of floral visitors groups. Finally, we show that the observed functional group combinations within a subgraph cannot be retrieved from their expected probabilities (i.e. joint probability distributions), indicating that plant and floral visitor associations within subgraphs are not random either. Our results highlight the presence of common network motifs in plant-pollinator communities that are formed by a non-random association of plants and floral visitors functional groups.
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Affiliation(s)
- Jose B Lanuza
- School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia.,Estación Biológica de Doñana (EBD-CSIC), Seville, Spain
| | - Alfonso Allen-Perkins
- Estación Biológica de Doñana (EBD-CSIC), Seville, Spain.,Departamento de Ingeniería Eléctrica, Electrónica, Automática y Física Aplicada, ETSIDI, Universidad Politécnica de Madrid, Madrid, Spain
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12
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Jha S, Egerer M, Bichier P, Cohen H, Liere H, Lin B, Lucatero A, Philpott SM. Multiple ecosystem service synergies and landscape mediation of biodiversity within urban agroecosystems. Ecol Lett 2023; 26:369-383. [PMID: 36691722 DOI: 10.1111/ele.14146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 08/01/2022] [Accepted: 08/11/2022] [Indexed: 01/25/2023]
Abstract
Ecosystem services (ESs) are essential for human well-being, especially in urban areas where 60% of the global population will live by 2030. While urban habitats have the potential to support biodiversity and ES, few studies have quantified the impact of local and landscape management across a diverse suite of services. We leverage 5 years of data (>5000 observations) across a network of urban community gardens to determine the drivers of biodiversity and ES trade-offs and synergies. We found multiple synergies and few trade-offs, contrasting previous assumptions that food production is at odds with biodiversity. Furthermore, we show that natural landscape cover interacts with local management to mediate services provided by mobile animals, specifically pest control and pollination. By quantifying the factors that support a diverse suite of ES, we highlight the critical role of garden management and urban planning for optimizing biodiversity and human benefit.
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Affiliation(s)
- Shalene Jha
- Integrative Biology Department, University of Texas, Austin, Texas, USA.,Lady Bird Johnson Wildflower Center, University of Texas, Austin, Texas, USA
| | - Monika Egerer
- Environmental Studies Department, University of California, Santa Cruz, California, USA.,Department of Life Science Systems, School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Peter Bichier
- Environmental Studies Department, University of California, Santa Cruz, California, USA
| | - Hamutahl Cohen
- Environmental Studies Department, University of California, Santa Cruz, California, USA
| | - Heidi Liere
- Environmental Studies Program, Seattle University, Seattle, Washington, USA
| | - Brenda Lin
- CSIRO Land and Water, Brisbane, Queensland, Australia
| | - Azucena Lucatero
- Environmental Studies Department, University of California, Santa Cruz, California, USA
| | - Stacy M Philpott
- Environmental Studies Department, University of California, Santa Cruz, California, USA
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13
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Gudeta K, Kumar V, Bhagat A, Julka JM, Bhat SA, Ameen F, Qadri H, Singh S, Amarowicz R. Ecological adaptation of earthworms for coping with plant polyphenols, heavy metals, and microplastics in the soil: A review. Heliyon 2023; 9:e14572. [PMID: 36994405 PMCID: PMC10040515 DOI: 10.1016/j.heliyon.2023.e14572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 03/07/2023] [Accepted: 03/09/2023] [Indexed: 03/17/2023] Open
Abstract
In recent years, soil pollution by massive accumulation of heavy metals (HMs), microplastics, and refractory hydrocarbon chemicals has become an emerging and global concern, drawing worldwide attention. These pollutants influence soil diversity by hindering the reproduction, abundance, thereby affecting aboveground productivity. The scientific community has recently emphasized the contribution of earthworms to heavy metal accumulation, microplastic degradation, and the decomposition of organic matter in the soil, which helps maintain the soil structure. This review paper aimed to compile scientific facts on how earthworms cope with the effect of HMs, microplastics, and plant polyphenols so that vermiremediation could be widely applied for well-being of the soil ecosystem by environmentalists. Earthworms have special surface-active metabolites in their guts called drilodefensins that help them defend themselves against the oxidative action of plant polyphenols. They also combat the effects of toxic microplastics, and other oxidative compounds by elevating the antioxidant activities of their enzymes and converting them into harmless compounds or useful nutrients. Moreover, earthworms also act as biofilters, bioindicators, bioaccumulators, and transformers of oxidative polyphenols, microplastics, toxic HMs, and other pollutant hydrocarbons. Microorganisms (fungi and bacteria) in earthworms' gut of also assist in the fixation, accumulation, and transformation of these toxicants to prevent their effects. As a potential organism for application in ecotoxicology, it is recommended to propagate earthworms in agricultural fields; isolate, and culture enormously in industry, and inoculate earthworms in the polluted soil, thereby abate toxicity and minimizing the health effect caused by these pollutants as well enhance the productivity of crops.
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Affiliation(s)
- Kasahun Gudeta
- Shoolini University of Biotechnology and Management Sciences, School of Biological and Environmental Sciences, Solan, 173229, Himachal Pradesh, India
- Adama Science and Technology University, Department of Applied Biology, P.O. Box 1888, Adama, Ethiopia
| | - Vineet Kumar
- Department of Microbiology, School of Life Sciences, Central University of Rajasthan, Kishangarh, Ajmer, 305817, Rajasthan, India
| | - Ankeet Bhagat
- Department of Zoology, Guru Nanak Dev University, Amritsar, Punjab, 143005, India
| | - Jatinder Mohan Julka
- Shoolini University of Biotechnology and Management Sciences, School of Biological and Environmental Sciences, Solan, 173229, Himachal Pradesh, India
| | - Sartaj Ahmad Bhat
- River Basin Research Center, Gifu University, 1-1 Yanagido, Gifu, 501-1193, Japan
- Corresponding author.
| | - Fuad Ameen
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Humaira Qadri
- Department of Environmental Sciences, J&K Higher Education Department, Govt. Degree College, Baramulla, 193101, Kashmir, Jammu and Kashmir, India
| | - Sumit Singh
- Department of Zoology, Guru Nanak Dev University, Amritsar, Punjab, 143005, India
| | - Ryszard Amarowicz
- Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, Olsztyn, 10-748, Poland
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14
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Bello C, Schleuning M, Graham CH. Analyzing trophic ecosystem functions with the interaction functional space. Trends Ecol Evol 2023; 38:424-434. [PMID: 36599738 DOI: 10.1016/j.tree.2022.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 11/18/2022] [Accepted: 12/01/2022] [Indexed: 01/04/2023]
Abstract
Quantifying the vulnerability of ecosystems to global change requires a better understanding of how trophic ecosystem functions emerge. So far, trophic ecosystem functions have been studied from the perspective of either functional diversity or network ecology. To integrate these two perspectives, we propose the interaction functional space (IFS) a conceptual framework to simultaneously analyze the effects of traits and interactions on trophic functions. We exemplify the added value of our framework for seed dispersal and wood decomposition and show how species interactions influence the relationship between functional trait diversity and trophic functions. We propose future applications for a range of functions where the IFS can help to elucidate mechanisms underpinning trophic functions and facilitate understanding of functional changes in ecosystems amidst global change.
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Affiliation(s)
- Carolina Bello
- Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Zürcherstrasse 111, 8903 Birmensdorf, Switzerland; Institute of Integrative Biology, ETH Zürich, Universitätstrasse 2, 8092 Zürich, Switzerland.
| | - Matthias Schleuning
- Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325 Frankfurt, Germany
| | - Catherine H Graham
- Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
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15
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Wang B, Ma B, Stirling E, He Z, Zhang H, Yan Q. Freshwater trophic status mediates microbial community assembly and interdomain network complexity. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 316:120690. [PMID: 36403871 DOI: 10.1016/j.envpol.2022.120690] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/18/2022] [Accepted: 11/15/2022] [Indexed: 06/16/2023]
Abstract
Freshwater microorganisms and their interactions are important drivers of nutrient cycling that are in turn affected by nutrient status, causing shifts in microbial community diversity, composition, and interactions. However, the impact of water trophic status on bacterial-archaeal interdomain interactions remains poorly understood. This study focused on the impact of trophic status, as characterized by trophic state index (TSI), on the interdomain interactions of freshwater microbial communities from 45 ponds in Hangzhou. Our results showed that the mesotrophic wetland bordering on lightly eutrophic (Hemu: TSI of 49; lightly eutrophic is defined as 50 ≤ TSI <60) harbored a much more complex bacterial-archaeal interdomain network, which showed significantly (P < 0.05) higher connectivity than the wetlands with lower (TSI of 38) or higher (TSI of 57) trophic levels. Notably, light eutrophication strengthened the network modules' negative associations with organic carbon through some network hubs, which could trigger carbon loss in wetlands. We also detected a non-linear response of interdomain network complexity to the increasing of nutrients with a turning point of approximately TSI 50. Quantitative estimates of community assembly processes and structural equation modelling analysis indicated that chlorophyll-a, total nitrogen, and total phosphorus could regulate interdomain network complexity (50% of the variation explanation rate) by driving microbial community assembly. This study demonstrates that microbial interdomain network complexity could be used as a bioindicator for ecological changes, which would helpful for improving ecological assessment of the freshwater eutrophication.
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Affiliation(s)
- Binhao Wang
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China; Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510006, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 310058, China
| | - Bin Ma
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 310058, China; Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, 310058, China
| | - Erinne Stirling
- Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 310058, China; Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, 310058, China; Acid Sulfate Soils Centre, School of Biological Sciences, The University of Adelaide, Adelaide, 5005, Australia
| | - Zhili He
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510006, China; College of Agronomy, Hunan Agricultural University, Changsha, 410128, China
| | - Hangjun Zhang
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 310036, China
| | - Qingyun Yan
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510006, China.
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16
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Wang J, Wang C, Zhang J, Wu X, Hou Y, Zhao G, Sun H. Decreased precipitation reduced the complexity and stability of bacterial co-occurrence patterns in a semiarid grassland. Front Microbiol 2022; 13:1031496. [PMID: 36620016 PMCID: PMC9815162 DOI: 10.3389/fmicb.2022.1031496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Abstract
Introduction Grasslands harbor complex bacterial communities, whose dynamic interactions are considered critical for organic matter and nutrient cycling. However, less is known about how changes in precipitation impact bacterial interactions. Methods We conducted precipitation manipulation experiments in the Eastern Eurasian Steppe in China and constructed co-occurrence networks for bacterial communities. Results The network topological features of the bacterial communities exhibited considerable differences among increased precipitation, control, and decreased precipitation gradients. The bacterial co-occurrence pattern in the increased precipitation gradient was the most complex and stable, with a large network size, followed by those of the control and decreased precipitation gradients. Soil moisture (SM) was the primary factor influencing the complexity, size, and stability of bacterial networks across different precipitation gradients, followed by total nitrogen (TN), belowground biomass, aboveground biomass, and total carbon (TC). Discussion Our results indicate that drought conditions reduce the complexity and stability of the bacterial community, and future changes in precipitation will greatly reshape bacterial interactions in semiarid grasslands. Overall, these findings could enhance our understanding of how microbes respond to changing precipitation patterns by regulating their interactions in water-limited ecosystems and will improve our ability to predict the impacts of precipitation regime change on ecosystem nutrient cycling and feedback between ecosystem processes and global climate change.
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Affiliation(s)
- Jinlong Wang
- Traditional Chinese Medicine Biotechnology Innovation Center in Jilin Province, College of Science, Beihua University, Jilin City, China
| | - Chunjuan Wang
- Traditional Chinese Medicine Biotechnology Innovation Center in Jilin Province, College of Science, Beihua University, Jilin City, China
| | - Jinwei Zhang
- Department of Grassland Science, College of Animal Science and Technology, Northeast Agricultural University, Harbin, China,*Correspondence: Jinwei Zhang,
| | - Xuefeng Wu
- Chongqing Institute of Quality and Standardization, Chongqing, China
| | - Yu Hou
- Traditional Chinese Medicine Biotechnology Innovation Center in Jilin Province, College of Science, Beihua University, Jilin City, China
| | - Guiyun Zhao
- Traditional Chinese Medicine Biotechnology Innovation Center in Jilin Province, College of Science, Beihua University, Jilin City, China
| | - Haiming Sun
- Traditional Chinese Medicine Biotechnology Innovation Center in Jilin Province, College of Science, Beihua University, Jilin City, China,Haiming Sun,
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17
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Zhang Z, Li H, Shen W, Feng K, Li S, Gu S, Zhou Y, Peng X, Du X, He Q, Wang L, Zhang Z, Wang D, Wang Z, Deng Y. The Stability of Phyto-Zooplanktonic Networks Varied with Zooplanktonic Sizes in Chinese Coastal Ecosystem. mSystems 2022; 7:e0082122. [PMID: 36200770 PMCID: PMC9599403 DOI: 10.1128/msystems.00821-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 09/21/2022] [Indexed: 12/31/2022] Open
Abstract
The linkages between phytoplankton and zooplankton are crucial for the stability of complex food webs and the flow of energy within the marine ecosystem. Despite body size exhibiting multiple effects on the planktonic community assembly and the dispersal scale, its role in determining the stability of phyto-zooplanktonic co-occurrence patterns remains unclear. Here, we focused on more than 13,000 kilometers of the Chinese coast to study the diatom-dominated plankton ecosystem and to report the significant negative effects of zooplanktonic body sizes on the topological properties of phyto-zooplanktonic networks (PZNs) by using more than 500 species from 251 samples taken along the coastline. PZNs tended to be more complex and stable when phytoplankton associated with smaller zooplankton. Particularly, the subnetworks of dominant phytoplankton displayed differences with different zooplanktonic body sizes. The zooplankton with larger and smaller body sizes tended to interact with dinoflagellates and diatoms, respectively. Additionally, abiotic factors (i.e., water temperature, pH, salinity, and metal concentrations) displayed significant effects on PZNs via the shifting of zooplanktonic composition, and the zooplanktonic body sizes altered the network modules' associations with different environmental factors. Our study elucidated the general relationship between zooplanktonic body sizes and the stability of PZNs, which provides new insights into marine food webs. IMPORTANCE Body size is a key life trait of aquatic plankton that affects organisms' metabolic rates and ecological functions; however, its specific effects on interactions between phytoplankton and zooplankton are poorly understood. We collected planktonic species and their body size data along more than 13,000 kilometers of coastline to explore the role of zooplanktonic body size in maintaining the stability of phyto-zooplanktonic networks (PZNs). We found that zooplankton play a more important role in maintaining PZN stability than do phytoplankton as well as that the PZN would be more complex and stable with smaller zooplankton. Furthermore, this work revealed that body size significantly determined the relationships between environmental factors and network structure. Overall, these findings lay a general relationship between zooplanktonic body sizes and the stability of PZNs, which helps us further explore the micro food web of coastal ecosystems.
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Affiliation(s)
- Zheng Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
| | - Hongjun Li
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, China
| | - Wenli Shen
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
| | - Kai Feng
- CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Shuzhen Li
- Aquatic EcoHealth Group, Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
| | - Songsong Gu
- CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Yuqi Zhou
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
| | - Xi Peng
- CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Xiongfeng Du
- CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Qing He
- CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Linlin Wang
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
| | - Zhaojing Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
| | - Danrui Wang
- CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Zhujun Wang
- CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Ye Deng
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
- CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
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18
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Li Y, Zhang Y, Xue S. pH mediated assemblage of carbon, nitrogen, and sulfur related microbial communities in petroleum reservoirs. Front Microbiol 2022; 13:952285. [PMID: 36187958 PMCID: PMC9515653 DOI: 10.3389/fmicb.2022.952285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/26/2022] [Indexed: 11/13/2022] Open
Abstract
Microorganisms are the core drivers of biogeochemistry processes in petroleum reservoirs and have been widely used to enhance petroleum recovery. However, systematic information about the microbial communities related to the C-N-S cycle in petroleum reservoirs under different pH conditions remains poorly understood. In this study, 16S rRNA gene data from 133 petroleum samples were collected, and 756 C-N-S related genera were detected. The Chao1 richness and Shannon diversity indices for the C-N-S-related microbial communities showed significant differences among different pH conditions and at the lowest levels in acidic conditions with pH values of 4.5-6.5. In addition, pH was the most important factor influencing the C-N-S related microbial communities and contributed to 17.95% of the variation in the methanogenesis community. A total of 55 functional genera were influenced by pH, which accounted for 42.08% of the C-N-S related genera. Among them, the genera Pseudomonas and Arcobacter were the highest and were concentrated in acidic conditions with pH values of 4.5-6.5. In parallel, 56 predicted C-N-S related genes were examined, and pH affected 16 of these genes, including putative chitinase, mcrA, mtrB, cysH, narGHIVYZ, nirK, nirB, nifA, sat, aprAB, and dsrAB. Furthermore, the co-occurrence networks of the C-N-S related microbial communities distinctly varied among the different pH conditions. The acidic environment exhibited the lowest complex network with the lowest keystone taxa number, and Escherichia-Shigella was the only keystone group that existed in all three networks. In summary, this study strengthened our knowledge regarding the C-N-S related microbial communities in petroleum reservoirs under different pH conditions, which is of great significance for understanding the microbial ecology and geochemical cycle of petroleum reservoirs.
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Affiliation(s)
- Yang Li
- State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, China
| | - Yuanyuan Zhang
- School of Safety Science and Engineering, Anhui University of Science and Technology, Huainan, China
| | - Sheng Xue
- School of Safety Science and Engineering, Anhui University of Science and Technology, Huainan, China
- Joint National-Local Engineering Research Centre for Safe and Precise Coal Mining, Anhui University of Science and Technology, Huainan, China
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Liu B, Chen J, Li Y. Keystone Microorganisms Regulate the Methanogenic Potential in Coals with Different Coal Ranks. ACS OMEGA 2022; 7:29901-29908. [PMID: 36061686 PMCID: PMC9435036 DOI: 10.1021/acsomega.2c02830] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 08/05/2022] [Indexed: 06/15/2023]
Abstract
Microorganisms are the core drivers of coal biogeochemistry and are closely related to the formation of coalbed methane. However, it remains poorly understood about the network relationship and stability of microbial communities in coals with different ranks. In this study, a high-throughput sequencing data set was analyzed to understand the microbial co-occurrence network in coals with different ranks including anthracite, medium-volatile bituminous, and high-volatile bituminous. The results showed similar topological properties for the microbial networks among coals with different ranks, but a great difference was found in the microbial composition in different large modules among coals with different ranks, and these three networks had three, four, and four large modules with seven, nine, and nine phyla, respectively. Among these networks, a total of 46 keystone taxa were identified in large modules, and these keystone taxa were different in coals with different ranks. Bacteria dominated the keystone taxa in the microbial network, and these bacterial keystone taxa mainly belonged to phyla Actinobacteria, Bacteroidetes, Firmicutes, and Proteobacteria. Besides, the removal of the key microbial data could reduce the community stability of microbial communities in bituminous coals. A partial least-squares path model further showed that these bacterial keystone taxa indirectly affected methanogenic potential by maintaining the microbial community stability and bacterial diversity. In summary, these results showed that keystone taxa played an important role in determining the community diversity, maintaining the microbial community stability, and controlling the methanogenic potential, which is of great significance for understanding the microbial ecology and the geochemical cycle of coal seams.
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Affiliation(s)
- Bingjun Liu
- Institute
of Energy, Hefei Comprehensive National
Science Center, Anhui, Hefei 230031, China
| | - Jian Chen
- Coal
Mining National Engineering and Technology Research Institute, Huainan, Anhui Province 232033, China
| | - Yang Li
- State
Key Laboratory of Mining Response and Disaster Prevention and Control
in Deep Coal Mines, Anhui University of
Science & Technology, Huainan, Anhui Province 232001, China
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20
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Allen WJ, Bufford JL, Barnes AD, Barratt BIP, Deslippe JR, Dickie IA, Goldson SL, Howlett BG, Hulme PE, Lavorel S, O'Brien SA, Waller LP, Tylianakis JM. A network perspective for sustainable agroecosystems. TRENDS IN PLANT SCIENCE 2022; 27:769-780. [PMID: 35501260 DOI: 10.1016/j.tplants.2022.04.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 03/26/2022] [Accepted: 04/04/2022] [Indexed: 06/14/2023]
Abstract
Nature-based management aims to improve sustainable agroecosystem production, but its efficacy has been variable. We argue that nature-based agroecosystem management could be significantly improved by explicitly considering and manipulating the underlying networks of species interactions. A network perspective can link species interactions to ecosystem functioning and stability, identify influential species and interactions, and suggest optimal management approaches. Recent advances in predicting the network roles of species from their functional traits could allow direct manipulation of network architecture through additions or removals of species with targeted traits. Combined with improved understanding of the structure and dynamics of networks across spatial and temporal scales and interaction types, including social-ecological, applying these tools to nature-based management can contribute to sustainable agroecosystems.
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Affiliation(s)
- Warwick J Allen
- Bio-Protection Research Centre/Bioprotection Aotearoa, School of Biological Sciences, University of Canterbury, Christchurch 8041, New Zealand.
| | - Jennifer L Bufford
- Bio-Protection Research Centre/Bioprotection Aotearoa, PO Box 85084, Lincoln University, Lincoln 7647, New Zealand
| | - Andrew D Barnes
- Te Aka Mātuatua - School of Science, University of Waikato, Private Bag 3105, Hamilton 3204, New Zealand
| | - Barbara I P Barratt
- AgResearch, Invermay Research Centre, Mosgiel 9053, New Zealand; Department of Botany, University of Otago, PO Box 56, Dunedin 9016, New Zealand
| | - Julie R Deslippe
- Centre for Biodiversity and Restoration Ecology and School of Biological Sciences, Victoria University of Wellington, Wellington 6140, New Zealand
| | - Ian A Dickie
- Bio-Protection Research Centre/Bioprotection Aotearoa, School of Biological Sciences, University of Canterbury, Christchurch 8041, New Zealand
| | - Stephen L Goldson
- Bio-Protection Research Centre/Bioprotection Aotearoa, PO Box 85084, Lincoln University, Lincoln 7647, New Zealand; AgResearch, Private Bag 4749, Christchurch 8140, New Zealand
| | - Brad G Howlett
- The New Zealand Institute for Plant and Food Research Limited, Christchurch, New Zealand
| | - Philip E Hulme
- Bio-Protection Research Centre/Bioprotection Aotearoa, PO Box 85084, Lincoln University, Lincoln 7647, New Zealand
| | - Sandra Lavorel
- Manaaki Whenua Landcare Research, Lincoln, New Zealand; Laboratoire d'Ecologie Alpine, Université Grenoble Alpes CNRS, Université Savoie Mont-Blanc, 38000 Grenoble, France
| | - Sophie A O'Brien
- School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
| | - Lauren P Waller
- Bio-Protection Research Centre/Bioprotection Aotearoa, PO Box 85084, Lincoln University, Lincoln 7647, New Zealand
| | - Jason M Tylianakis
- Bio-Protection Research Centre/Bioprotection Aotearoa, School of Biological Sciences, University of Canterbury, Christchurch 8041, New Zealand
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21
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Shi Y, Xu M, Zhao Y, Cheng L, Chu H. Soil pH Determines the Spatial Distribution, Assembly Processes, and Co-existence Networks of Microeukaryotic Community in Wheat Fields of the North China Plain. Front Microbiol 2022; 13:911116. [PMID: 35958140 PMCID: PMC9358722 DOI: 10.3389/fmicb.2022.911116] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 05/30/2022] [Indexed: 11/20/2022] Open
Abstract
Soil microeukaryotes play a pivotal role in soil nutrient cycling and crop growth in agroecosystems. However, knowledge of microeukaryotic community distribution patterns, assembly processes, and co-existence networks is greatly limited. Here, microbial eukaryotes in bulk and rhizosphere soils of the North China Plain were investigated. The results showed that soil pH was the driving factor for the microeukaryotic community composition in the bulk and rhizosphere soils. The soil microeukaryotic community could significantly differ between alkaline and acidic soils. The results indicated that the soil pH had a stronger effect than niche differences on community composition. Partial Mantel tests showed that soil pH and spatial distance had similar effects on the microeukaryotic community composition in the bulk soil. However, in the rhizosphere soil, spatial distance had a stronger effect than soil pH. Infer Community Assembly Mechanisms by Phylogenetic bin-based null model (iCAMP) analysis revealed that drift was the most important process driving microeukaryotic community assembly, with an average relative importance of 37.4-71.1%. Dispersal limitation displayed slightly greater importance in alkaline rhizosphere than in alkaline bulk soils. Meanwhile, the opposite trend was observed in acidic soils. In addition, the contribution of each assembly process to each iCAMP lineage "bin" varied according to the acidic or alkaline conditions of the soil and the niche environment. High proportions of positive links were found within the four ecological networks. Alkaline soil networks, especially the alkaline bulk soil network, showed greater complexity than the acidic soil networks. Natural connectivity analysis revealed that the rhizosphere community had a greater stability than the bulk soil community in alkaline soil. This study provides a foundation for understanding the potential roles of microbial eukaryotes in agricultural soil ecosystem functioning.
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Affiliation(s)
- Yu Shi
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
| | - Mengwei Xu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Yige Zhao
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Liang Cheng
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
| | - Haiyan Chu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
- University of Chinese Academy of Sciences, Beijing, China
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22
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Liu Z, Wang J, Meng D, Li L, Liu X, Gu Y, Yan Q, Jiang C, Yin H. The Self-Organization of Marine Microbial Networks under Evolutionary and Ecological Processes: Observations and Modeling. BIOLOGY 2022; 11:biology11040592. [PMID: 35453791 PMCID: PMC9031791 DOI: 10.3390/biology11040592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 04/06/2022] [Accepted: 04/07/2022] [Indexed: 11/16/2022]
Abstract
Simple Summary The properties and structure of ecological networks in marine microbial communities determine ecosystem functions and stability; however, the principles of microbial network assemblages are poorly understood. In this study, we revealed the influences of species phylogeny and niches on the self-organization of marine microbial co-occurrence networks and provided a mathematical framework to simulate microbial network assemblages. Our results provide deep insights into network stability from the perspective of network assembly principles and not just network properties, such as complexity and modularity. Abstract Evolutionary and ecological processes are primary drivers of ecological network constrictions. However, the ways that these processes underpin self-organization and modularity in networks are poorly understood. Here, we performed network analyses to explore the evolutionary and ecological effects on global marine microbial co-occurrence networks across multiple network levels, including those of nodes, motifs, modules and whole networks. We found that both direct and indirect species interactions were evolutionarily and ecologically constrained across at least four network levels. Compared to ecological processes, evolutionary processes generally showed stronger long-lasting effects on indirect interactions and dominated the network assembly of particle-associated communities in spatially homogeneous environments. Regarding the large network path distance, the contributions of either processes to species interactions generally decrease and almost disappear when network path distance is larger than six. Accordingly, we developed a novel mathematical model based on scale-free networks by considering the joint effects of evolutionary and ecological processes. We simulated the self-organization of microbial co-occurrence networks and found that long-lasting effects increased network stability via decreasing link gain or loss. Overall, these results revealed that evolutionary and ecological processes played key roles in the self-organization and modularization of microbial co-occurrence networks.
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Affiliation(s)
- Zhenghua Liu
- School of Minerals Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha 410083, China; (Z.L.); (D.M.); (L.L.); (X.L.); (Y.G.)
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
| | - Jianjun Wang
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
| | - Delong Meng
- School of Minerals Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha 410083, China; (Z.L.); (D.M.); (L.L.); (X.L.); (Y.G.)
| | - Liangzhi Li
- School of Minerals Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha 410083, China; (Z.L.); (D.M.); (L.L.); (X.L.); (Y.G.)
| | - Xueduan Liu
- School of Minerals Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha 410083, China; (Z.L.); (D.M.); (L.L.); (X.L.); (Y.G.)
| | - Yabing Gu
- School of Minerals Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha 410083, China; (Z.L.); (D.M.); (L.L.); (X.L.); (Y.G.)
| | - Qingyun Yan
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China;
| | - Chengying Jiang
- Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China;
| | - Huaqun Yin
- School of Minerals Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha 410083, China; (Z.L.); (D.M.); (L.L.); (X.L.); (Y.G.)
- Correspondence:
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23
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Shi Y, Zhang K, Ma T, Zhang Z, Li P, Xing Z, Ding J. Foliar Herbivory Reduces Rhizosphere Fungal Diversity and Destabilizes the Co-occurrence Network. Front Microbiol 2022; 13:846332. [PMID: 35350618 PMCID: PMC8957981 DOI: 10.3389/fmicb.2022.846332] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 02/14/2022] [Indexed: 12/04/2022] Open
Abstract
Insect herbivores can adversely impact terrestrial plants throughout ontogeny and across various ecosystems. Simultaneously, the effects of foliar herbivory may extend belowground, to the soil microbial community. However, the responses in terms of the diversity, assembly, and stability of rhizosphere fungi to aboveground herbivory remain understudied. Here, using high-throughput sequencing, the effects of foliar insect herbivory on rhizosphere fungal microbes were investigated in a common garden experiment that manipulated herbivory intensity and time from herbivore removal. The number of observed fungal species was reduced by a greater herbivory intensity, with some species evidently sensitive to herbivory intensity and time since herbivore removal. Rhizofungal assembly processes were altered by both herbivory intensity and time since herbivore removal. Further, we found evidence that both factors strongly influenced fungal community stability: a high intensity of herbivory coupled with a shorter time since herbivore removal resulted in low stability. These results suggest that foliar herbivory can adversely alter fungal diversity and stability, which would in turn be harmful for plant health. Fortunately, the effect seems to gradually diminish with time elapsed after herbivore removal. Our findings provide a fresh, in-depth view into the roles of rhizofungi in enhancing the adaption ability of plants under environmental stress.
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Affiliation(s)
- Yu Shi
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Kaoping Zhang
- Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
| | - Tiantian Ma
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Zhongyue Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Ping Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Zhenlong Xing
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jianqing Ding
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
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24
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Loy X, Brosi BJ. The effects of pollinator diversity on pollination function. Ecology 2022; 103:e3631. [PMID: 35050504 DOI: 10.1002/ecy.3631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 10/15/2021] [Accepted: 10/28/2021] [Indexed: 11/08/2022]
Abstract
Pollination is a key ecological function of most terrestrial ecosystems. Decades of research on single-trophic-level communities, particularly plant communities, have helped build the foundation of diversity-function theory. Yet as it stands, this theory appears to be less useful for inter-trophic-level functions such as pollination, as evidenced by empirical findings that are often inconsistent with theoretical expectations. In this review, we evaluate how canonical diversity-function theory has been applied to pollination function, focusing on empirical studies of the mechanisms that drive pollinator diversity-function relationships. We first identify key features of pollination function that have hampered reconciliation with current theory. We then examine terminology for mechanisms used to discuss the findings from pollinator diversity-function studies that are sometimes inconsistent with established ecological concepts. We propose a revised diversity-function framework and describe two non-canonical diversity-function mechanisms that are particularly applicable to pollination. The first, 'interactive functional complementarity', was identified previously but remains overlooked. The second, a new diversity-function mechanism, 'functional enhancement', occurs when pollinator diversity increases within-niche activity. Finally, we discuss experimental approaches necessary to detect diversity-function effects in pollination. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Xingwen Loy
- Conservation & Research Department, Atlanta Botanical Garden, Atlanta, GA
| | - Berry J Brosi
- Department of Biology, University of Washington, Seattle, WA
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25
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Dehling DM, Riva GVD, Hutchinson MC, Stouffer DB. Niche packing and local coexistence in a megadiverse guild of frugivorous birds are mediated by fruit dependence and shifts in interaction frequencies. Am Nat 2021; 199:855-868. [DOI: 10.1086/718684] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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26
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Sebastián-González E, Morales-Reyes Z, Botella F, Naves-Alegre L, Pérez-García JM, Mateo-Tomás P, Olea PP, Moleón M, Barbosa JM, Hiraldo F, Arrondo E, Donázar JA, Cortés-Avizanda A, Selva N, Lambertucci SA, Bhattacharjee A, Brewer AL, Abernethy EF, Turner KL, Beasley JC, DeVault TL, Gerke HC, Rhodes OE, Ordiz A, Wikenros C, Zimmermann B, Wabakken P, Wilmers CC, Smith JA, Kendall CJ, Ogada D, Frehner E, Allen ML, Wittmer HU, Butler JRA, du Toit JT, Margalida A, Oliva-Vidal P, Wilson D, Jerina K, Krofel M, Kostecke R, Inger R, Per E, Ayhan Y, Sancı M, Yılmazer Ü, Inagaki A, Koike S, Samson A, Perrig PL, Spencer EE, Newsome TM, Heurich M, Anadón JD, Buechley ER, Gutiérrez-Cánovas C, Elbroch LM, Sánchez-Zapata JA. Functional traits driving species role in the structure of terrestrial vertebrate scavenger networks. Ecology 2021; 102:e03519. [PMID: 34449876 DOI: 10.1002/ecy.3519] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 05/10/2021] [Accepted: 05/24/2021] [Indexed: 11/11/2022]
Abstract
Species assemblages often have a non-random nested organization, which in vertebrate scavenger (carrion-consuming) assemblages is thought to be driven by facilitation in competitive environments. However, not all scavenger species play the same role in maintaining assemblage structure, as some species are obligate scavengers (i.e., vultures) and others are facultative, scavenging opportunistically. We used a database with 177 vertebrate scavenger species from 53 assemblages in 22 countries across five continents to identify which functional traits of scavenger species are key to maintaining the scavenging network structure. We used network analyses to relate ten traits hypothesized to affect assemblage structure with the "role" of each species in the scavenging assemblage in which it appeared. We characterized the role of a species in terms of both the proportion of monitored carcasses on which that species scavenged, or scavenging breadth (i.e., the species "normalized degree"), and the role of that species in the nested structure of the assemblage (i.e., the species "paired nested degree"), therefore identifying possible facilitative interactions among species. We found that species with high olfactory acuity, social foragers, and obligate scavengers had the widest scavenging breadth. We also found that social foragers had a large paired nested degree in scavenger assemblages, probably because their presence is easier to detect by other species to signal carcass occurrence. Our study highlights differences in the functional roles of scavenger species and can be used to identify key species for targeted conservation to maintain the ecological function of scavenger assemblages.
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Affiliation(s)
- Esther Sebastián-González
- Department of Applied Biology, Centro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO-UMH), Miguel Hernández University of Elche, Avenida de la Universidad s/n, Elche, E-03202, Spain.,Department of Ecology, University of Alicante, Cra. San Vicente del Raspeig, Alicante, E-03690, Spain
| | - Zebensui Morales-Reyes
- Department of Applied Biology, Centro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO-UMH), Miguel Hernández University of Elche, Avenida de la Universidad s/n, Elche, E-03202, Spain
| | - Francisco Botella
- Department of Applied Biology, Centro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO-UMH), Miguel Hernández University of Elche, Avenida de la Universidad s/n, Elche, E-03202, Spain
| | - Lara Naves-Alegre
- Department of Applied Biology, Centro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO-UMH), Miguel Hernández University of Elche, Avenida de la Universidad s/n, Elche, E-03202, Spain
| | - Juan M Pérez-García
- Department of Applied Biology, Centro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO-UMH), Miguel Hernández University of Elche, Avenida de la Universidad s/n, Elche, E-03202, Spain.,Department of Animal Science, Faculty of Life Sciences and Engineering, University of Lleida, Lleida, E-25002, Spain
| | - Patricia Mateo-Tomás
- Biodiversity Research Institute, University of Oviedo -Spanish National Research Council- Principality of Asturias, Mieres, E-33600, Spain.,Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, Coimbra, 3000-456, Portugal
| | - Pedro P Olea
- Departamento de Ecología, Universidad Autónoma de Madrid, Madrid, E-28049, Spain.,Centro de Investigación en Biodiversidad y Cambio Global (CIBC-UAM), Universidad Autónoma de Madrid, Madrid, E-28049, Spain
| | - Marcos Moleón
- Department of Zoology, University of Granada, Granada, E-18071, Spain
| | - Jomar Magalhães Barbosa
- Department of Applied Biology, Centro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO-UMH), Miguel Hernández University of Elche, Avenida de la Universidad s/n, Elche, E-03202, Spain
| | - Fernando Hiraldo
- Department of Conservation Biology, Doñana Biological Station-CSIC, Avd. Americo Vespucio 26, Seville, E-41092, Spain
| | - Eneko Arrondo
- Department of Applied Biology, Centro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO-UMH), Miguel Hernández University of Elche, Avenida de la Universidad s/n, Elche, E-03202, Spain.,Department of Conservation Biology, Doñana Biological Station-CSIC, Avd. Americo Vespucio 26, Seville, E-41092, Spain
| | - José A Donázar
- Department of Conservation Biology, Doñana Biological Station-CSIC, Avd. Americo Vespucio 26, Seville, E-41092, Spain
| | - Ainara Cortés-Avizanda
- Department of Conservation Biology, Doñana Biological Station-CSIC, Avd. Americo Vespucio 26, Seville, E-41092, Spain.,Department of Plant Biology and Ecology, Faculty of Biology, University of Seville, Avda. Reina Mercedes s/n, Seville, E-41012, Spain
| | - Nuria Selva
- Institute of Nature Conservation, Polish Academy of Sciences, Krakow, PL-31-120, Poland
| | - Sergio A Lambertucci
- Grupo de Investigaciones en Biología de la Conservación, Laboratorio Ecotono, INIBIOMA, CONICET - Universidad Nacional del Comahue, Bariloche, 8400, Argentina
| | - Aishwarya Bhattacharjee
- Department of Biology, Queens College, City University of New York, Queens, New York, 10010, USA.,Biology Program, The Graduate Center, City University of New York, New York, New York, 10010, USA
| | - Alexis L Brewer
- Department of Biology, Queens College, City University of New York, Queens, New York, 10010, USA.,Biology Program, The Graduate Center, City University of New York, New York, New York, 10010, USA
| | - Erin F Abernethy
- Department of Integrative Biology, Oregon State University, Corvallis, Oregon, 97331, USA
| | - Kelsey L Turner
- Savannah River Ecology Laboratory, Warnell School of Forestry and Natural Resources, University of Georgia, Aiken, South Carolina, 29802, USA
| | - James C Beasley
- Savannah River Ecology Laboratory, Warnell School of Forestry and Natural Resources, University of Georgia, Aiken, South Carolina, 29802, USA
| | - Travis L DeVault
- Savannah River Ecology Laboratory, Warnell School of Forestry and Natural Resources, University of Georgia, Aiken, South Carolina, 29802, USA
| | - Hannah C Gerke
- Savannah River Ecology Laboratory, Warnell School of Forestry and Natural Resources, University of Georgia, Aiken, South Carolina, 29802, USA
| | - Olin E Rhodes
- Savannah River Ecology Laboratory, Odum School of Ecology, University of Georgia, Aiken, South Carolina, 29802, USA
| | - Andrés Ordiz
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, NO-1432, Norway
| | - Camilla Wikenros
- Grimsö Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences, Riddarhyttan, 73993, Sweden
| | - Barbara Zimmermann
- Faculty of Applied Ecology, Agricultural Sciences and Biotechnology, Inland Norway University of Applied Sciences, Campus Evenstad, 2318, Norway
| | - Petter Wabakken
- Faculty of Applied Ecology, Agricultural Sciences and Biotechnology, Inland Norway University of Applied Sciences, Campus Evenstad, 2318, Norway
| | - Christopher C Wilmers
- Center for Integrated Spatial Research, Environmental Studies Department, University of California, Santa Cruz, California, 95064, USA
| | - Justine A Smith
- Department of Wildlife, Fish, and Conservation Biology, University of California, Davis, California, 95616, USA
| | - Corinne J Kendall
- North Carolina Zoo, 4401 Zoo Parkway, Asheboro, North Carolina, 27205, USA
| | - Darcy Ogada
- The Peregrine Fund, 5668 Flying Hawk Lane, Boise, Idaho, 83709, USA
| | - Ethan Frehner
- Department of Biology, University of Utah, Salt Lake City, Utah, 84112, USA
| | - Maximilian L Allen
- Illinois Natural History Survey, University of Illinois, Champaign, Illinois, 61801, USA
| | - Heiko U Wittmer
- School of Biological Sciences, Victoria University of Wellington, Wellington, 6012, New Zealand
| | | | - Johan T du Toit
- Department of Wildland Resources, Utah State University, Logan, Utah, 84322-5230, USA
| | - Antoni Margalida
- Department of Animal Science, Faculty of Life Sciences and Engineering, University of Lleida, Lleida, E-25002, Spain.,Institute for Game and Wildlife Research, IREC (CSIC-UCLM-JCCM), Ciudad Real, E-13071, Spain
| | - Pilar Oliva-Vidal
- Department of Animal Science, Faculty of Life Sciences and Engineering, University of Lleida, Lleida, E-25002, Spain
| | - David Wilson
- The Biodiversity Consultancy, Cambridge, CB2 1SJ, United Kingdom
| | - Klemen Jerina
- Department of Forestry, Biotechnical Faculty, University of Ljubljana, Ljubljana, SI-1000, Slovenia
| | - Miha Krofel
- Department of Forestry, Biotechnical Faculty, University of Ljubljana, Ljubljana, SI-1000, Slovenia
| | | | - Richard Inger
- Environment and Sustainability Institute, University of Exeter, Penryn, TR10 9FE, United Kingdom
| | - Esra Per
- Faculty of Science, Department of Biology, Gazi University, Teknikokullar, Ankara, 06560, Turkey.,DEDE Nature Team, İvedik Organize Sanayi Bölgesi 1122.cad. 1473.Sok. No:4-6-8 Yenimahalle, Ankara, 06374, Turkey
| | - Yunus Ayhan
- DEDE Nature Team, İvedik Organize Sanayi Bölgesi 1122.cad. 1473.Sok. No:4-6-8 Yenimahalle, Ankara, 06374, Turkey
| | - Mehmet Sancı
- DEDE Nature Team, İvedik Organize Sanayi Bölgesi 1122.cad. 1473.Sok. No:4-6-8 Yenimahalle, Ankara, 06374, Turkey
| | - Ünsal Yılmazer
- DEDE Nature Team, İvedik Organize Sanayi Bölgesi 1122.cad. 1473.Sok. No:4-6-8 Yenimahalle, Ankara, 06374, Turkey
| | - Akino Inagaki
- Department of Environment Conservation, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, 183-0054, Japan
| | - Shinsuke Koike
- Department of Environment Conservation, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, 183-0054, Japan
| | - Arockianathan Samson
- Department of Zoology and Wildlife Biology, Government Arts College, The Nilgiris, Tamil Nadu, 643002, India
| | - Paula L Perrig
- Grupo de Investigaciones en Biología de la Conservación, Laboratorio Ecotono, INIBIOMA, CONICET - Universidad Nacional del Comahue, Bariloche, 8400, Argentina.,Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA
| | - Emma E Spencer
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, 2006, Australia
| | - Thomas M Newsome
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, 2006, Australia
| | - Marco Heurich
- Department of Visitor Management and National Park Monitoring, Bavarian Forest National Park, Freyunger Straße 2, Grafenau, 94481, Germany.,Wildlife Ecology and Management, University of Freiburg, Tennenbacher Straße 4, Freiburg, 79106, Germany
| | - José D Anadón
- Department of Biology, Queens College, City University of New York, Queens, New York, 10010, USA.,Biology Program, The Graduate Center, City University of New York, New York, New York, 10010, USA.,Departamento de Ciencias Agrarias y el Medio Natural, Universidad de Zaragoza, Huesca, E-50009, Spain
| | - Evan R Buechley
- Smithsonian Migratory Bird Center, Washington, D.C., 20013, USA.,HawkWatch International, Salt Lake City, Utah, 84106, USA
| | | | - L Mark Elbroch
- Panthera, 8 West 40th Street, New York, New York, 10018, USA
| | - José A Sánchez-Zapata
- Department of Applied Biology, Centro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO-UMH), Miguel Hernández University of Elche, Avenida de la Universidad s/n, Elche, E-03202, Spain
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Graco‐Roza C, Segura AM, Kruk C, Domingos P, Soininen J, Marinho MM. Clumpy coexistence in phytoplankton: the role of functional similarity in community assembly. OIKOS 2021. [DOI: 10.1111/oik.08677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Caio Graco‐Roza
- Laboratory of Phytoplankton of Ecology and Physiology, Dept of Plant Biology, Univ. of Rio de Janeiro State Rio de Janeiro Brazil
- Univ. of Helsinki, Dept of Geosciences and Geography Helsinki Finland
| | - Angel M. Segura
- Modelización Estadística de Datos e Inteligencia Artificial (MEDIA) CURE-Rocha, Univ. de la República Uruguay
| | - Carla Kruk
- Sección Limnología, IECA, Facultad de Ciencias, Univ. de la República Uruguay
| | - Patrícia Domingos
- Laboratory of Phytoplankton of Ecology and Physiology, Dept of Plant Biology, Univ. of Rio de Janeiro State Rio de Janeiro Brazil
| | - Janne Soininen
- Univ. of Helsinki, Dept of Geosciences and Geography Helsinki Finland
| | - Marcelo Manzi Marinho
- Laboratory of Phytoplankton of Ecology and Physiology, Dept of Plant Biology, Univ. of Rio de Janeiro State Rio de Janeiro Brazil
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28
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Dehling DM, Bender IMA, Blendinger PG, Böhning‐Gaese K, Muñoz MC, Neuschulz EL, Quitián M, Saavedra F, Santillán V, Schleuning M, Stouffer DB. Specialists and generalists fulfil important and complementary functional roles in ecological processes. Funct Ecol 2021. [DOI: 10.1111/1365-2435.13815] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- D. Matthias Dehling
- Centre for Integrative Ecology School of Biological Sciences University of Canterbury Christchurch New Zealand
- Swiss Federal Research Institute WSL Birmensdorf Switzerland
| | - Irene M. A. Bender
- Instituto de Ecología Regional Universidad Nacional de Tucumán‐Consejo Nacional de Investigaciones Científicas y Técnicas Tucumán Argentina
- Senckenberg Biodiversity and Climate Research Centre (SBiK‐F) Frankfurt am Main Germany
| | - Pedro G. Blendinger
- Instituto de Ecología Regional Universidad Nacional de Tucumán‐Consejo Nacional de Investigaciones Científicas y Técnicas Tucumán Argentina
| | - Katrin Böhning‐Gaese
- Senckenberg Biodiversity and Climate Research Centre (SBiK‐F) Frankfurt am Main Germany
- Institute for Ecology, Evolution and Diversity Goethe University Frankfurt Frankfurt am Main Germany
| | - Marcia C. Muñoz
- Programa de Biología Universidad de La Salle Bogotá Colombia
| | - Eike L. Neuschulz
- Senckenberg Biodiversity and Climate Research Centre (SBiK‐F) Frankfurt am Main Germany
| | - Marta Quitián
- Systematic Zoology Laboratory Tokyo Metropolitan University (TMU) Tokyo Japan
| | - Francisco Saavedra
- Instituto de Ecología Facultad de Ciencias Puras y Naturales Universidad Mayor de San Andrés La Paz Bolivia
| | - Vinicio Santillán
- Centro de Investigación, Innovación y Transferencia de Tecnología (CIITT) Universidad Católica de Cuenca Cuenca Ecuador
| | - Matthias Schleuning
- Senckenberg Biodiversity and Climate Research Centre (SBiK‐F) Frankfurt am Main Germany
| | - Daniel B. Stouffer
- Centre for Integrative Ecology School of Biological Sciences University of Canterbury Christchurch New Zealand
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29
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Seasonal dynamics of plant pollinator networks in agricultural landscapes: how important is connector species identity in the network? Oecologia 2021; 196:825-837. [PMID: 34160660 DOI: 10.1007/s00442-021-04975-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 06/17/2021] [Indexed: 10/21/2022]
Abstract
Farm habitat enrichment is crucial for sustainable production of pollinator-dependent crops. Correct choice of crop and non-crop plant species in habitat management support resilient pollinator fauna and effective pollination service delivery. We identify key network metrices to recognize suitable crop and non-crop plant species for farm habitat enrichment. We also highlight the importance of seasonal variation of the key plant and pollinator species that will crucially inform farm management. Crop species played a key role in maintaining plant-pollinator network integrity. In contrast to the conventional practice of focussing on non-crop plants for pollination service restoration, we find crop plants across seasons hold a key role in maintaining healthy plant-pollinator networks. Our study highlights the importance of non-bee pollinators especially, flies and butterflies in sustaining healthy plant-pollinator network. Bees were important as connector species and controlled other species in the network. Only 16.67% bees and 33.33% of plant species acted as connector species. Our study also shows that the identity of connector species in a plant-pollinator network can change drastically across seasons.
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30
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Reduced microbial stability in the active layer is associated with carbon loss under alpine permafrost degradation. Proc Natl Acad Sci U S A 2021; 118:2025321118. [PMID: 34131077 DOI: 10.1073/pnas.2025321118] [Citation(s) in RCA: 108] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Permafrost degradation may induce soil carbon (C) loss, critical for global C cycling, and be mediated by microbes. Despite larger C stored within the active layer of permafrost regions, which are more affected by warming, and the critical roles of Qinghai-Tibet Plateau in C cycling, most previous studies focused on the permafrost layer and in high-latitude areas. We demonstrate in situ that permafrost degradation alters the diversity and potentially decreases the stability of active layer microbial communities. These changes are associated with soil C loss and potentially a positive C feedback. This study provides insights into microbial-mediated mechanisms responsible for C loss within the active layer in degraded permafrost, aiding in the modeling of C emission under future scenarios.
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31
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Runghen R, Poulin R, Monlleó-Borrull C, Llopis-Belenguer C. Network Analysis: Ten Years Shining Light on Host-Parasite Interactions. Trends Parasitol 2021; 37:445-455. [PMID: 33558197 DOI: 10.1016/j.pt.2021.01.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 01/15/2021] [Accepted: 01/16/2021] [Indexed: 12/24/2022]
Abstract
Biological interactions are key drivers of ecological and evolutionary processes. The complexity of such interactions hinders our understanding of ecological systems and our ability to make effective predictions in changing environments. However, network analysis allows us to better tackle the complexity of ecosystems because it extracts the properties of an ecological system according to the number and distribution of links among interacting entities. The number of studies using network analysis to solve ecological and evolutionary questions in parasitology has increased over the past decade. Here, we synthesise the contribution of network analysis toward disentangling host-parasite processes. Furthermore, we identify current trends in mainstream ecology and novel applications of network analysis that present opportunities for research on host-parasite interactions.
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Affiliation(s)
- Rogini Runghen
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private Bag 4800, 8140 Christchurch, New Zealand
| | - Robert Poulin
- Department of Zoology, University of Otago, 340 Great King Street, 9054 Dunedin, New Zealand
| | - Clara Monlleó-Borrull
- Cavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, PO Box 22085, ES-46071, Valencia, Spain
| | - Cristina Llopis-Belenguer
- Cavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, PO Box 22085, ES-46071, Valencia, Spain.
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32
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Bramon Mora B, Shin E, CaraDonna PJ, Stouffer DB. Untangling the seasonal dynamics of plant-pollinator communities. Nat Commun 2020; 11:4086. [PMID: 32796828 PMCID: PMC7429506 DOI: 10.1038/s41467-020-17894-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 07/23/2020] [Indexed: 11/13/2022] Open
Abstract
Ecological communities often show changes in populations and their interactions over time. To date, however, it has been challenging to effectively untangle the mechanisms shaping such dynamics. One approach that has yet to be fully explored is to treat the varying structure of empirical communities-i.e. their network of interactions-as time series. Here, we follow this approach by applying a network-comparison technique to study the seasonal dynamics of plant-pollinator networks. We find that the structure of these networks is extremely variable, where species constantly change how they interact with each other within seasons. Most importantly, we find the holistic dynamic of plants and pollinators to be remarkably coherent across years, allowing us to reveal general rules by which species first enter, then change their roles, and finally leave the networks. Overall, our results disentangle key aspects of species' interaction turnover, phenology, and seasonal assembly/disassembly processes in empirical plant-pollinator communities.
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Affiliation(s)
- Bernat Bramon Mora
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
- Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland.
| | - Eura Shin
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
- University of Kentucky, Lexington, KY, USA
| | - Paul J CaraDonna
- Chicago Botanic Garden, Chicago, IL, USA
- Rocky Mountain Biological Laboratory, Crested Butte, CO, USA
| | - Daniel B Stouffer
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
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33
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Ohlsson M, Eklöf A. Spatial resolution and location impact group structure in a marine food web. Ecol Lett 2020; 23:1451-1459. [PMID: 32656918 DOI: 10.1111/ele.13567] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 12/27/2019] [Accepted: 05/20/2020] [Indexed: 12/01/2022]
Abstract
Ecological processes in food webs depend on species interactions. By identifying broad-scaled interaction patterns, important information on species' ecological roles may be revealed. Here, we use the group model to examine how spatial resolution and proximity influence group structure. We examine a data set from the Barents Sea, with food webs described for both the whole region and 25 subregions. We test how the group structure in the networks differ comparing (1) the regional metaweb to subregions and (2) subregion to subregion. We find that more than half the species in the metaweb change groups when compared to subregions. Between subregions, networks with similar group structure are spatially related. Interestingly, although species overlap is important for similarity in group structure, there are notable exceptions. Our results highlight that species ecological roles vary depending on fine-scaled differences in the patterns of interactions, and that local network characteristics are important to consider.
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Affiliation(s)
- Mikael Ohlsson
- Department of Physics, Chemistry and Biology, Linköping University, Linköping, SE-581 83, Sweden
| | - Anna Eklöf
- Department of Physics, Chemistry and Biology, Linköping University, Linköping, SE-581 83, Sweden
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34
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Pereira Martins L, Matos Medina A, Lewinsohn TM, Almeida‐Neto M. The effect of species composition dissimilarity on plant–herbivore network structure is not consistent over time. Biotropica 2020. [DOI: 10.1111/btp.12791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Lucas Pereira Martins
- Departamento de Ecologia Laboratório de Interações Ecológicas e Biodiversidade Universidade Federal de Goiás Goiânia, Goiás Brazil
| | - Anderson Matos Medina
- Departamento de Ecologia Laboratório de Interações Ecológicas e Biodiversidade Universidade Federal de Goiás Goiânia, Goiás Brazil
| | - Thomas M. Lewinsohn
- Laboratório de Interações Insetos‐Plantas Departamento de Biologia Animal Universidade Estadual de Campinas Campinas, São Paulo Brazil
| | - Mário Almeida‐Neto
- Departamento de Ecologia Laboratório de Interações Ecológicas e Biodiversidade Universidade Federal de Goiás Goiânia, Goiás Brazil
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35
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Peralta G, Perry GLW, Vázquez DP, Dehling DM, Tylianakis JM. Strength of niche processes for species interactions is lower for generalists and exotic species. J Anim Ecol 2020; 89:2145-2155. [PMID: 32495955 DOI: 10.1111/1365-2656.13274] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 05/15/2020] [Indexed: 11/26/2022]
Abstract
Niche and neutral processes jointly influence species interactions. Predictions of interactions based on these processes assume that they operate similarly across all species. However, species characteristics could systematically create differences in the strength of niche or neutral processes for each interspecific interaction. We used national-level records of plant-frugivore interactions, species traits, biogeographic status (native vs. exotic), phylogenies and species range sizes to test the hypothesis that the strength of niche processes in species interactions changes in predictable ways depending on trophic generalism and biogeographic status of the interacting species. The strength of niche processes (measured as trait matching) decreased when the generalism of the interacting partners increased. Furthermore, the slope of this negative relationship between trait matching and generalism of the interacting partners was steeper (more negative) for interactions between exotic species than those between native species. These results remained significant after accounting for the potential effects of neutral processes (estimated by species range size). These observed changes in the strength of niche processes in generating species interactions, after accounting for effects of neutral processes, could improve predictions of ecological networks from species trait data. Specifically, due to their shorter co-evolutionary history, exotic species tend to interact with native species even when lower trait matching occurs than in interactions among native species. Likewise, interactions between generalist bird species and generalist plant species should be expected to occur despite low trait matching between species, whereas interactions between specialist species involve higher trait matching.
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Affiliation(s)
- Guadalupe Peralta
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - George L W Perry
- School of Environment, University of Auckland, Auckland, New Zealand
| | - Diego P Vázquez
- Instituto Argentino de Investigaciones de las Zonas Áridas, CONICET, Mendoza, Argentina.,Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo, Mendoza, Argentina
| | - D Matthias Dehling
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Jason M Tylianakis
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
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36
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Acevedo-Quintero JF, Zamora-Abrego JG, García D. From structure to function in mutualistic interaction networks: Topologically important frugivores have greater potential as seed dispersers. J Anim Ecol 2020; 89:2181-2191. [PMID: 32495479 DOI: 10.1111/1365-2656.13273] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 05/18/2020] [Indexed: 11/29/2022]
Abstract
Networks of mutualistic interactions between animals and plants are considered a pivotal part of ecological communities. However, mutualistic networks are rarely studied from the perspective of species-specific roles, and it remains to be established whether those animal species more relevant for network structure also contribute more to the ecological functions derived from interactions. Here, we relate the contribution to seed dispersal of vertebrate species with their topological role in frugivore-plant interaction networks. For one year in two localities with remnant patches of Colombian tropical dry forest, we sampled abundance, morphology, behaviour and fruit consumption from fleshy-fruited plants of various frugivore species. We assessed the network topological role of each frugivore species by integrating their degree of generalization in interactions with plants with their contributions to network nestedness and modularity. We estimated the potential contribution of each frugivore species to community-wide seed dispersal, on the basis of a set of frugivore ecological, morphological and behavioural characteristics important for seed dispersal, together with frugivore abundance and frugivory degree. The various frugivore species showed strong differences in their network structural roles, with generalist species contributing the most to network modularity and nestedness. Frugivores also showed strong variability in terms of potential contribution to seed dispersal, depending on the specific combinations of frugivore abundance, frugivory degree and the different traits and behaviours. For both localities, the seed dispersal potential of a frugivore species responded positively to its contribution to network structure, evidencing that the most important frugivore species in the network topology were also those making the strongest contribution as seed dispersers. Contribution to network structure was correlated with frugivore abundance, diet and behavioural characteristics. This suggests that the species-level link between structure and function is due to the fact that the occurrence of frugivore-plant interactions depends largely on the characteristics of the frugivore involved, which also condition its ultimate role in seed dispersal.
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Affiliation(s)
- Juan Fernando Acevedo-Quintero
- Departamento de Ciencias Forestales, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia, Medellín, Colombia
| | - Joan Gastón Zamora-Abrego
- Departamento de Ciencias Forestales, Facultad de Ciencias Agrarias, Universidad Nacional de Colombia, Medellín, Colombia
| | - Daniel García
- Departmento de Biología de Organismos y Sistemas, Unidad Mixta de Investigación en Biodiversidad (CSIC-Uo-PA), Universidad de Oviedo, Oviedo, Spain
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37
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Peralta G, Vázquez DP, Chacoff NP, Lomáscolo SB, Perry GLW, Tylianakis JM. Trait matching and phenological overlap increase the spatio-temporal stability and functionality of plant-pollinator interactions. Ecol Lett 2020; 23:1107-1116. [PMID: 32418369 DOI: 10.1111/ele.13510] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 01/11/2020] [Accepted: 03/21/2020] [Indexed: 01/13/2023]
Abstract
Morphology and phenology influence plant-pollinator network structure, but whether they generate more stable pairwise interactions with higher pollination success remains unknown. Here we evaluate the importance of morphological trait matching, phenological overlap and specialisation for the spatio-temporal stability (measured as variability) of plant-pollinator interactions and for pollination success, while controlling for species' abundance. To this end, we combined a 6-year plant-pollinator interaction dataset, with information on species traits, phenologies, specialisation, abundance and pollination success, into structural equation models. Interactions among abundant plants and pollinators with well-matched traits and phenologies formed the stable and functional backbone of the pollination network, whereas poorly matched interactions were variable in time and had lower pollination success. We conclude that phenological overlap could be more useful for predicting changes in species interactions than species abundances, and that non-random extinction of species with well-matched traits could decrease the stability of interactions within communities and reduce their functioning.
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Affiliation(s)
- Guadalupe Peralta
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Diego P Vázquez
- Instituto Argentino de Investigaciones de las Zonas Áridas, CONICET, Mendoza, Argentina.,Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo, Mendoza, Argentina
| | - Natacha P Chacoff
- Instituto de Ecología Regional, CONICET-Universidad Nacional de Tucumán, Tucumán, Argentina.,Facultad de Ciencias Naturales e IML, Universidad Nacional de Tucumán, Tucumán, Argentina
| | - Silvia B Lomáscolo
- Instituto de Ecología Regional, CONICET-Universidad Nacional de Tucumán, Tucumán, Argentina
| | - George L W Perry
- School of Environment, University of Auckland, Auckland, New Zealand
| | - Jason M Tylianakis
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
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38
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Kelly T, Elle E. Effects of community composition on plant-pollinator interaction networks across a spatial gradient of oak-savanna habitats. Oecologia 2020; 193:211-223. [PMID: 32405931 DOI: 10.1007/s00442-020-04661-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 05/02/2020] [Indexed: 11/29/2022]
Abstract
Distance between habitats may impact the composition and corresponding interactions between trophic levels. Mutualistic networks, such as those of plants and pollinators tend to have a core set of properties that often relate to the resilience of the community, or the ability of the community to retain function and structure after a disturbance. Furthermore, network structure is highly dependent on the number of specialists and generalists; however, it is unclear how different groups of species with various life-history strategies influence network structure. In this study, we evaluated how the composition of plants and pollinators within 16 oak-savanna sites changed across a latitudinal gradient. In addition, we evaluated how the abundance of different groups of plants and pollinators affected network metrics related to resilience. We found that the composition of plants and pollinators varied between ecoregions, while pollinator composition further varied with habitat characteristics. Network metrics displayed no spatial pattern but were related to the abundance of several pollinator groups. Above-ground nesting insects had a positive relationship with nestedness and a negative relationship with modularity, while predatory larvae had a negative relationship with modularity. Thus, above-ground nesting insects and predatory larvae could be expected to increase network resilience. This study emphasizes how spatial scales can influence species compositions, which in turn affects the structure of interactions in the community with implications for resilience.
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Affiliation(s)
- Tyler Kelly
- Department of Biological Sciences, Simon Fraser University, 8888 University Drive, Burnaby, V5A 1S6, Canada.
| | - Elizabeth Elle
- Department of Biological Sciences, Simon Fraser University, 8888 University Drive, Burnaby, V5A 1S6, Canada
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39
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Peña R, Schleuning M, Donoso I, Rodríguez‐Pérez J, Dalerum F, García D. Biodiversity components mediate the response to forest loss and the effect on ecological processes of plant–frugivore assemblages. Funct Ecol 2020. [DOI: 10.1111/1365-2435.13566] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Rocío Peña
- Depto. Biología de Organismos y Sistemas Universidad de Oviedo, and Unidad Mixta de Investigación en Biodiversidad (CSIC‐Uo‐PA) Oviedo Spain
| | - Matthias Schleuning
- Senckenberg Biodiversity and Climate Research Centre (SBiK‐F) Senckenberganlage 25 Frankfurt (Main) Germany
| | - Isabel Donoso
- Depto. Biología de Organismos y Sistemas Universidad de Oviedo, and Unidad Mixta de Investigación en Biodiversidad (CSIC‐Uo‐PA) Oviedo Spain
- Senckenberg Biodiversity and Climate Research Centre (SBiK‐F) Senckenberganlage 25 Frankfurt (Main) Germany
| | - Javier Rodríguez‐Pérez
- Depto. Biología de Organismos y Sistemas Universidad de Oviedo, and Unidad Mixta de Investigación en Biodiversidad (CSIC‐Uo‐PA) Oviedo Spain
- Department of Mathematics and its Applications Université de Pau et des Pays de l'Adour Pau France
| | - Fredrik Dalerum
- Depto. Biología de Organismos y Sistemas Universidad de Oviedo, and Unidad Mixta de Investigación en Biodiversidad (CSIC‐Uo‐PA) Oviedo Spain
| | - Daniel García
- Depto. Biología de Organismos y Sistemas Universidad de Oviedo, and Unidad Mixta de Investigación en Biodiversidad (CSIC‐Uo‐PA) Oviedo Spain
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40
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Plant–pollinator network structural properties differentially affect pollen transfer dynamics and pollination success. Oecologia 2020; 192:1037-1045. [DOI: 10.1007/s00442-020-04637-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 03/30/2020] [Indexed: 10/24/2022]
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41
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Junker RR, Lechleitner MH, Kuppler J, Ohler LM. Interconnectedness of the Grinnellian and Eltonian Niche in Regional and Local Plant-Pollinator Communities. FRONTIERS IN PLANT SCIENCE 2019; 10:1371. [PMID: 31781136 PMCID: PMC6856639 DOI: 10.3389/fpls.2019.01371] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 10/04/2019] [Indexed: 05/31/2023]
Abstract
Understanding the causes and consequences of coexistence and thus biodiversity is one of the most fundamental endeavors of ecology, which has been addressed by studying species' requirements and impacts - conceptualized as their Grinnellian and Eltonian niches. However, different niche types have been mostly studied in isolation and thus potential covariation between them remains unknown. Here we quantified the realized Grinnellian niche (environmental requirements), the fundamental (morphological phenotype) and realized Eltonian niche (role in networks) of plant and pollinator taxa at a local and regional scale to investigate the interconnectedness of these niche types. We found a strong and scale-independent co-variation of niche types suggesting that taxa specialized in environmental factors are also specialized in their position in trait spaces and their role in bipartite networks. The integration of niche types thus will help to detect the true causes for species distributions, interaction networks, as well as the taxonomic and functional diversity of communities.
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42
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Russell JC, Kaiser-Bunbury CN. Consequences of Multispecies Introductions on Island Ecosystems. ANNUAL REVIEW OF ECOLOGY, EVOLUTION, AND SYSTEMATICS 2019. [DOI: 10.1146/annurev-ecolsys-110218-024942] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The rate of non-native species introductions continues to increase, with directionality from continents to islands. It is no longer single species but entire networks of coevolved and newly interacting continental species that are establishing on islands. The consequences of multispecies introductions on the population dynamics and interactions of native and introduced species will depend on the form of trophic limitation on island ecosystems. Freed from biotic constraints in their native range, species introduced to islands no longer experience top-down limitation, instead becoming limited by and disrupting bottom-up processes that dominate on resource-limited islands. This framing of the ecological and evolutionary relationships among introduced species with one another and their ecosystem has important consequences for conservation. Whereas on continents the focus of conservation is on restoring native apex species and top-down limitation, on islands the focus must instead be on removing introduced animal and plant species to restore bottom-up limitation.
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Affiliation(s)
- James C. Russell
- School of Biological Sciences, University of Auckland, Auckland 1010, New Zealand
| | - Christopher N. Kaiser-Bunbury
- Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Cornwall Campus, Penryn TR10 9FE, United Kingdom
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43
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Feng K, Zhang Y, He Z, Ning D, Deng Y. Interdomain ecological networks between plants and microbes. Mol Ecol Resour 2019; 19:1565-1577. [PMID: 31479575 DOI: 10.1111/1755-0998.13081] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2018] [Revised: 07/26/2019] [Accepted: 08/07/2019] [Indexed: 12/11/2022]
Abstract
While macroscopic interkingdom relationships have been intensively investigated in various ecosystems, the above-belowground ecology in natural ecosystems has been poorly understood, especially for the plant-microbe associations at a regional scale. In this study, we proposed a workflow to construct interdomain ecological networks (IDEN) between multiple plants and various microbes (bacteria and archaea in this study). Across 30 latitudinal forests in China, the regional IDEN showed particular topological features, including high connectance, nested structure, asymmetric specialization and modularity. Also, plant species exhibited strong preference to specific microbial groups, and the observed network was significantly different from randomly rewired networks. Network module analysis indicated that a majority of microbes associated with plants within modules rather than across modules, suggesting specialized associations between plants and microorganisms. Consistent plant-microbe associations were captured via IDENs constructed within individual forest locations, which reinforced the validity of IDEN analysis. In addition, the plant-forest link distribution showed the geographical distribution of plants had higher endemicity than that of microorganisms. With cautious experimental design and data processing, this study shows interdomain species associations between plants and microbes in natural forest ecosystems and provides new insights into our understanding of meta-communities across different domain species.
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Affiliation(s)
- Kai Feng
- CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Yuguang Zhang
- Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Key Laboratory of Forest Ecology and Environment of State Forestry Administration, Beijing, China
| | - Zhili He
- Environmental Microbiomics Research Center, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, China
| | - Daliang Ning
- Institute for Environmental Genomics, Department of Microbiology and Plant Biology, School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, USA
| | - Ye Deng
- CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
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44
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Burkle LA, Runyon JB. Floral volatiles structure plant–pollinator interactions in a diverse community across the growing season. Funct Ecol 2019. [DOI: 10.1111/1365-2435.13424] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Laura A. Burkle
- Department of Ecology Montana State University Bozeman Montana
| | - Justin B. Runyon
- Rocky Mountain Research Station USDA Forest Service Bozeman Montana
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45
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Maia KP, Vaughan IP, Memmott J. Plant species roles in pollination networks: an experimental approach. OIKOS 2019. [DOI: 10.1111/oik.06183] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Kate P. Maia
- Life Sciences Building, Univ. of Bristol, 24 Tyndall Avenue Bristol BS81TQ UK
| | | | - Jane Memmott
- Life Sciences Building, Univ. of Bristol, 24 Tyndall Avenue Bristol BS81TQ UK
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46
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Burkle LA, Simanonok MP, Durney JS, Myers JA, Belote RT. Wildfires Influence Abundance, Diversity, and Intraspecific and Interspecific Trait Variation of Native Bees and Flowering Plants Across Burned and Unburned Landscapes. Front Ecol Evol 2019. [DOI: 10.3389/fevo.2019.00252] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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47
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Qi G, Ma G, Chen S, Lin C, Zhao X. Microbial Network and Soil Properties Are Changed in Bacterial Wilt-Susceptible Soil. Appl Environ Microbiol 2019; 85:e00162-19. [PMID: 31003986 PMCID: PMC6581179 DOI: 10.1128/aem.00162-19] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Accepted: 04/09/2019] [Indexed: 12/28/2022] Open
Abstract
Bacterial wilt disease is a devastating disease of crops, which leads to huge economic loss worldwide. It is hypothesized that the occurrence of bacterial wilt may be related to changes in soil chemical properties and microbial interactions. In this study, we compared the soil chemical properties and microbial network structures of a healthy soil (HS) and a bacterial wilt-susceptible soil (BWS). The contents of available nitrogen, potassium, and phosphorus and the soil pH in the BWS were significantly lower than those in the HS. BWS showed nutrient deficiency and acidification in comparison with the HS. The structure and composition of the BWS network were quite different from those of the HS network. The BWS network had fewer modules and edges and lower connectivity than the HS network. The HS network contained more interacting species, more key microorganisms, and better high-order organization and thus was more complex and stable than the BWS network. Most nodes and module memberships were unshared by the two networks, while the ones that were shared showed different topological roles. Some generalists in the HS network became specialists in the BWS network, indicating that the topological roles of microbes were changed and key microorganisms were shifted in the BWS. In summary, the composition and structure of the microbial network of the BWS were different from that of the HS. Many microbial network connections were missing in the BWS, which most likely provided conditions leading to higher rates of bacterial wilt disease.IMPORTANCE Bacterial wilt disease is caused by the pathogen Ralstonia solanacearum and is a widespread devastating soilborne disease leading to huge economic losses worldwide. The soil microbial community is crucial to the capacity of soils to suppress soilborne diseases through complex interactions. Network analysis can effectively explore these complex interactions. In this study, we used a random matrix theory (RMT)-based network approach to investigate the changes in microbial network and associated microbial interactions in a bacterial wilt-susceptible soil (BWS) in comparison to a healthy soil (HS). We found that the structure and composition of the microbial network in BWSs were quite different from those of the HS. The BWS network had fewer modules, edges, and key microorganisms and lower connectivity than the HS network. In the BWSs, apparently the topological role of microbes was changed and key microorganisms were shifted to specialists.
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Affiliation(s)
- Gaofu Qi
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Gaoqiang Ma
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Shu Chen
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Changchun Lin
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiuyun Zhao
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
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48
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Valdovinos FS. Mutualistic networks: moving closer to a predictive theory. Ecol Lett 2019; 22:1517-1534. [DOI: 10.1111/ele.13279] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 03/06/2019] [Accepted: 04/17/2019] [Indexed: 12/24/2022]
Affiliation(s)
- Fernanda S. Valdovinos
- Department of Ecology and Evolutionary Biology & Center for the Study of Complex Systems University of Michigan Ann Arbor MI USA
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49
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Yletyinen J, Brown P, Pech R, Hodges D, Hulme PE, Malcolm TF, Maseyk FJF, Peltzer DA, Perry GLW, Richardson SJ, Smaill SJ, Stanley MC, Todd JH, Walsh PJ, Wright W, Tylianakis JM. Understanding and Managing Social–Ecological Tipping Points in Primary Industries. Bioscience 2019. [DOI: 10.1093/biosci/biz031] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Johanna Yletyinen
- School of Biological Sciences, University of Canterbury in Christchurch, New Zealand
- Manaaki Whenua Landcare Research Ltd. branches in Lincoln, Wellington and Auckland, in New Zealand
| | - Philip Brown
- Manaaki Whenua Landcare Research Ltd. branches in Lincoln, Wellington and Auckland, in New Zealand
| | - Roger Pech
- Manaaki Whenua Landcare Research Ltd. branches in Lincoln, Wellington and Auckland, in New Zealand
| | | | - Philip E Hulme
- Bio-Protection Research Centre at Lincoln University, New Zealand
| | | | - Fleur J F Maseyk
- The Catalyst Group, in Wellington, New Zealand, and with the Centre for Biodiversity and Conservation Science at the University of Queensland in Brisbane, Australia
| | - Duane A Peltzer
- Manaaki Whenua Landcare Research Ltd. branches in Lincoln, Wellington and Auckland, in New Zealand
| | - George L W Perry
- School of Environment at the University of Auckland, New Zealand
| | - Sarah J Richardson
- Manaaki Whenua Landcare Research Ltd. branches in Lincoln, Wellington and Auckland, in New Zealand
| | | | - Margaret C Stanley
- School of Biological Sciences, at the University of Auckland, New Zealand
| | - Jacqui H Todd
- The New Zealand Institute for Plant and Food Research, Ltd., in Auckland, and Willie Wright is affiliated with the Integrated Kaipara Harbour Management Group, in Whangarei, New Zealand
| | - Patrick J Walsh
- Manaaki Whenua Landcare Research Ltd. branches in Lincoln, Wellington and Auckland, in New Zealand
| | - Willie Wright
- School of Biological Sciences, University of Canterbury in Christchurch, New Zealand
| | - Jason M Tylianakis
- School of Biological Sciences, University of Canterbury in Christchurch, New Zealand
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50
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Ponisio LC, Valdovinos FS, Allhoff KT, Gaiarsa MP, Barner A, Guimarães PR, Hembry DH, Morrison B, Gillespie R. A Network Perspective for Community Assembly. Front Ecol Evol 2019. [DOI: 10.3389/fevo.2019.00103] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
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