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Su M, Chen X, Hui C. Persistent biological invasions alter ecological network topology, impacting disease transmission during community assembly. J Theor Biol 2024; 595:111950. [PMID: 39288889 DOI: 10.1016/j.jtbi.2024.111950] [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: 11/13/2023] [Revised: 09/09/2024] [Accepted: 09/13/2024] [Indexed: 09/19/2024]
Abstract
Ecological networks experiencing persistent biological invasions may exhibit distinct topological properties, complicating the understanding of how network topology affects disease transmission during invasion-driven community assembly. We developed a trait-based network model to assess the impact of network topology on disease transmission, measured as community- and species-level disease prevalence. We found that trait-based feeding interactions between host species determine the frequency distribution of the niche of co-occurring species in steady-state communities, being either bimodal or multimodal. The width of the growth kernel influences the degree-biomass relationship of species, being either weakly positive or strongly negative. When this relationship is weakly positive, species-level disease prevalence is primarily correlated with biomass. However, when the degree-biomass relationship is strongly negative, species-level disease prevalence is determined by the difference between a host species' in-degree and out-degree closeness centrality. At the community level, disease prevalence is generally amplified by increasing host richness, community biomass, and the standard deviation of interaction generality, while it is diluted by higher network connectance. Our framework verifies the amplification effects of host richness during invasion-driven community assembly and offers valuable insights for estimating disease prevalence based on host network topology.
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Affiliation(s)
- Min Su
- School of Mathematics, Hefei University of Technology, Hefei 230009, China.
| | - Xiaowei Chen
- School of Mathematics, Hefei University of Technology, Hefei 230009, China
| | - Cang Hui
- Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Stellenbosch 7602, South Africa; Mathematical Biosciences Unit, African Institute for Mathematical Sciences, Cape Town 7945, South Africa; International Initiative for Theoretical Ecology, London N1 2EE, United Kingdom.
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2
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Toutain M, Belouard N, Renault D, Haubrock PJ, Kurtul I, Aksu S, Emiroğlu Ö, Kouba A, Tarkan AS, Balzani P. Assessing the role of non-native species and artificial water bodies on the trophic and functional niche of Mediterranean freshwater fish communities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 938:173520. [PMID: 38810734 DOI: 10.1016/j.scitotenv.2024.173520] [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: 02/27/2024] [Revised: 05/14/2024] [Accepted: 05/24/2024] [Indexed: 05/31/2024]
Abstract
Habitat alterations and the introduction of non-native species have many ecological impacts, including the loss of biodiversity and a deterioration of ecosystem functioning. The effects of these combined stressors on the community trophic web and functional niche are, however, not completely clear. Here, we investigated how artificial ecosystems (i.e. reservoirs) and non-native species may influence the trophic and functional niche space of freshwater fish communities. To do so, we used carbon and nitrogen stable isotope and abundance data to compute a set of isotopic, trait, and functional metrics for 13 fish communities sampled from 12 distinct ecosystems in Türkiye. We show that in reservoirs, fish were more similar in their trophic niche compared to lakes, where the trophic niche was more variable, due to higher habitat complexity. However, there were no differences in the trait and functional metrics between the two ecosystem types, suggesting a higher prey diversity than assumed in reservoirs. We also found that the number of non-native species did not affect the trophic niche space, nor the trait or functional space occupied by the fish community. This indicates that non-native species tended to overlap their trophic niche with native species, while occupying empty functional niches in the recipient community functional space. Similarly, the proportion of non-native species did not affect any trophic, trait, or functional metric, suggesting that changes in community composition were not reflected in changes in the community niche space. Moreover, we found that trait richness, but not functional richness, was positively related to the isotopic niche width and diversity, indicating that a wider occupied trait niche space corresponded with a wider occupied trophic niche and lesser interspecific similarity. Our findings underscore the complexity of ecological relationships within freshwater ecosystems and highlight the need for comprehensive management strategies to mitigate the impacts of human activities and biological invasions.
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Affiliation(s)
- Mathieu Toutain
- Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, University of South Bohemia in České Budějovice, 389 25 Vodňany, Czech Republic; Université de Rennes, CNRS, ECOBIO [(Ecosystèmes, biodiversité, évolution)], 35000 Rennes, France.
| | - Nadège Belouard
- Université de Rennes, CNRS, ECOBIO [(Ecosystèmes, biodiversité, évolution)], 35000 Rennes, France
| | - David Renault
- Université de Rennes, CNRS, ECOBIO [(Ecosystèmes, biodiversité, évolution)], 35000 Rennes, France
| | - Phillip J Haubrock
- Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, University of South Bohemia in České Budějovice, 389 25 Vodňany, Czech Republic; Department of River Ecology and Conservation, Senckenberg Research Institute and Natural History Museum Frankfurt, 63571 Gelnhausen, Germany; CAMB, Center for Applied Mathematics and Bioinformatics, Gulf University for Science and Technology, Kuwait
| | - Irmak Kurtul
- Faculty of Fisheries, Ege University, Bornova 35100, İzmir, Türkiye; Department of Life and Environmental Sciences, Bournemouth University, Poole, Dorset, United Kingdom
| | - Sadi Aksu
- Vocational School of Health Services, Eskişehir Osmangazi University, Eskişehir, Türkiye
| | - Özgür Emiroğlu
- Department of Biology, Faculty of Arts and Sciences Eskişehir Osmangazi University, Eskişehir, Türkiye
| | - Antonín Kouba
- Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, University of South Bohemia in České Budějovice, 389 25 Vodňany, Czech Republic
| | - Ali Serhan Tarkan
- Department of Life and Environmental Sciences, Bournemouth University, Poole, Dorset, United Kingdom; Department of Ecology and Vertebrate Zoology, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland; Department of Basic Sciences, Faculty of Fisheries, Muğla Sıtkı Koçman University, Muğla, Türkiye
| | - Paride Balzani
- Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, University of South Bohemia in České Budějovice, 389 25 Vodňany, Czech Republic.
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3
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Ahmad M, Uniyal SK, Sharma P, Rathee S, Batish DR, Singh HP. Enhanced plasticity and reproductive fitness of floral and seed traits facilitate non-native species spread in mountain ecosystems. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 348:119222. [PMID: 37862892 DOI: 10.1016/j.jenvman.2023.119222] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 08/20/2023] [Accepted: 10/02/2023] [Indexed: 10/22/2023]
Abstract
Floral and seed traits, their relationships, and responses to abiotic constraints are considered the key determinants of the invasion success of non-native plant species. However, studies evaluating the pattern of floral and seed traits of non-native species in mountain ecosystems are lacking. In this study, we determined (a) whether the floral and seed traits of native and non-native species show similarity or dissimilarity across elevations in mountains, and (b) whether the non-native species follow different allometric patterns compared with native species. Functional variations between native and non-native species were assessed through floral and seed traits: flower count, flower display area, flower mass, specific flower area, seed count, and seed mass across an elevational gradient. Permanent plots (20 × 20 m) were laid at each 100 m elevation rise from 2000 to 4000 m a.s.l. for sampling of herbaceous plant species. The mean values of floral and seed traits such as flower display area, specific flower area, and seed count were significantly higher for non-native species compared to native species. A significant difference in trait values (flower display area, flower mass, seed count, and seed mass) between non-native species and native species was observed along the elevational gradient, except for flower count and specific flower area. The bivariate relationship revealed non-native species to exhibit a stronger relationship between flower display area ∼ flower mass, and flower display area ∼ seed mass traits than the native species. Non-native species showed enhanced reproductive ability under varying environmental conditions along an elevational gradient in mountain ecosystems. Greater flower display area and seed mass at lower elevations and a stronger overall trait-trait relationship among non-native species implied resource investment in pollinator visualization, flower mass, and seed quality over seed quantity. The study concludes that enhanced plasticity and reproductive fitness of floral and seed traits would consequently aid non-native species to adapt, become invasive, and displace native species in mountain ecosystems if the climatic barriers acting on non-native species are reduced with climate change.
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Affiliation(s)
- Mustaqeem Ahmad
- Department of Environment Studies, Panjab University, Chandigarh, India; Department of Environmental Technology, CSIR-IHBT, Palampur, India
| | - Sanjay K Uniyal
- Department of Environmental Technology, CSIR-IHBT, Palampur, India
| | - Padma Sharma
- Department of Environment Studies, Panjab University, Chandigarh, India
| | - Sonia Rathee
- Department of Botany, Panjab University, Chandigarh, India
| | - Daizy R Batish
- Department of Botany, Panjab University, Chandigarh, India
| | - Harminder P Singh
- Department of Environment Studies, Panjab University, Chandigarh, India.
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Gjini E, Madec S. Towards a mathematical understanding of invasion resistance in multispecies communities. ROYAL SOCIETY OPEN SCIENCE 2023; 10:231034. [PMID: 38026034 PMCID: PMC10646464 DOI: 10.1098/rsos.231034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023]
Abstract
Multispecies community composition and dynamics are key to health and disease across biological systems, a prominent example being microbial ecosystems. Explaining the forces that govern diversity and resilience in the microbial consortia making up our body's defences remains a challenge. In this, theoretical models are crucial, to bridge the gap between species dynamics and underlying mechanisms and to develop analytic insight. Here we propose a replicator equation framework to model multispecies dynamics where an explicit notion of invasion resistance of a system emerges and can be studied explicitly. For illustration, we derive the conceptual link between such replicator equation and N microbial species' growth and interaction traits, stemming from micro-scale environmental modification. Within this replicator framework, mean invasion fitness arises, evolves dynamically, and may undergo critical predictable shifts with global environmental changes. This mathematical approach clarifies the key role of this resident system trait for invader success, and highlights interaction principles among N species that optimize their collective resistance to invasion. We propose this model based on the replicator equation as a powerful new avenue to study, test and validate mechanisms of invasion resistance and colonization in multispecies microbial ecosystems and beyond.
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Affiliation(s)
- Erida Gjini
- Center for Computational and Stochastic Mathematics, Instituto Superior Tecnico, Lisbon, Portugal
| | - Sten Madec
- Laboratory of Mathematics, University of Tours, Tours, France
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Hui C, Pyšek P, Richardson DM. Disentangling the relationships among abundance, invasiveness and invasibility in trait space. NPJ BIODIVERSITY 2023; 2:13. [PMID: 39242656 PMCID: PMC11332024 DOI: 10.1038/s44185-023-00019-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 05/26/2023] [Indexed: 09/09/2024]
Abstract
Identifying conditions and traits that allow an introduced species to grow and spread, from being initially rare to becoming abundant (defined as invasiveness), is the crux of invasion ecology. Invasiveness and abundance are related but not the same, and we need to differentiate these concepts. Predicting both species abundance and invasiveness and their relationship in an invaded community is highly contextual, being contingent on the community trait profile and its invasibility. We operationalised a three-pronged invasion framework that considers traits, environmental context, and propagule pressure. Specifically, we measure the invasiveness of an alien species by combining three components (performance reflecting environmental suitability, product of species richness and the covariance between interaction strength and species abundance, and community-level interaction pressure); the expected population growth rate of alien species simply reflects the total effect of propagule pressure and the product of their population size and invasiveness. The invasibility of a community reflects the size of opportunity niches (the integral of positive invasiveness in the trait space) under the given abiotic conditions of the environment. Both species abundance and the surface of invasiveness over the trait space can be dynamic and variable. Whether an introduced species with functional traits similar to those of an abundant species in the community exhibits high or low invasiveness depends largely on the kernel functions of performance and interaction strength with respect to traits and environmental conditions. Knowledge of the covariance between interaction strength and species abundance and these kernel functions, thus, holds the key to accurate prediction of invasion dynamics.
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Affiliation(s)
- Cang Hui
- Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Stellenbosch, South Africa.
- Biodiversity Informatics Unit, African Institute for Mathematical Sciences, Muizenberg, South Africa.
- National Institute for Theoretical and Computational Sciences (NITheCS), Stellenbosch University, Stellenbosch, South Africa.
| | - Petr Pyšek
- Institute of Botany, Czech Academy of Sciences, Prague, Czech Republic
- Department of Ecology, Charles University, Prague, Czech Republic
| | - David M Richardson
- Institute of Botany, Czech Academy of Sciences, Prague, Czech Republic
- Centre for Invasion Biology, Department of Botany & Zoology, Stellenbosch University, Stellenbosch, South Africa
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Wu M, Liu H, Zhang Y, Li B, Zhu T, Sun M. Physiology and transcriptome analysis of the response mechanism of Solidago canadensis to the nitrogen addition environment. FRONTIERS IN PLANT SCIENCE 2023; 14:1005023. [PMID: 36866368 PMCID: PMC9971938 DOI: 10.3389/fpls.2023.1005023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
Solidago canadensis is an invasive plant that can adapt to variable environmental conditions. To explore the molecular mechanism of the response to nitrogen (N) addition conditions in S. canadensis, physiology and transcriptome analysis were performed with samples that cultured by natural and three N level conditions. Comparative analysis detected many differentially expressed genes (DEGs), including the function of plant growth and development, photosynthesis, antioxidant, sugar metabolism and secondary metabolism pathways. Most genes encoding proteins involved in plant growth, circadian rhythm and photosynthesis were upregulated. Furthermore, secondary metabolism-related genes were specifically expressed among the different groups; for example, most DEGs related to phenol and flavonoid synthesis were downregulated in the N-level environment. Most DEGs related to diterpenoid and monoterpenoid biosynthesis were upregulated. In addition, many physiological responses, such as antioxidant enzyme activities and chlorophyll and soluble sugar contents, were elevated by the N environment, which was consistent with the gene expression levels in each group. Collectively, our observations indicated that S. canadensis may be promoted by N deposition conditions with the alteration of plant growth, secondary metabolism and physiological accumulation.
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Rejmánek M. Book Review: On ecological networks and biological invasions. NEOBIOTA 2023. [DOI: 10.3897/neobiota.81.99512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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8
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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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Optimal differentiation to the edge of trait space (EoTS). Evol Ecol 2022. [DOI: 10.1007/s10682-022-10192-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
AbstractThe ecological and evolutionary processes that allow alien species to establish and dominate native communities (i.e., become invasive) have been a rich area of research. Past areas of inquiry have included identifying the traits necessary to invade a community and/or determining how phylogenetic relatedness of the introduced species with the resident community can promote invasive success. Yet despite decades of research, little consensus exists about why particular species successfully invade native communities while others do not. Here we develop a conceptual framework for why only certain introduced species become invasive: optimal differentiation to the edge of trait space (EoTS). We posit that optimal differentiation leading to successful invasion into a community requires that the multi-dimensional trait space of the introduced species exists at the edge of the multi-dimensional trait space of the native community. Species that possess traits that are too different cannot enter the community because of environmental filtering, while species that are too similar will either become integrated into the community but not take over or alternatively never establish. We apply this conceptual framework to species functional traits and discuss how both genetic processes and phylogenetic processes may also result in optimal differentiation to EoTS.
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Ranjan R, Klausmeier CA. How the resource supply distribution structures competitive communities. J Theor Biol 2022; 538:111054. [DOI: 10.1016/j.jtbi.2022.111054] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 02/01/2022] [Accepted: 02/04/2022] [Indexed: 11/16/2022]
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11
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Simulated nitrogen deposition induces shifts in growth and resource-use strategies during range expansion of an invasive plant. Biol Invasions 2021. [DOI: 10.1007/s10530-021-02668-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Monticelli LS, Bishop J, Desneux N, Gurr GM, Jaworski CC, McLean AH, Thomine E, Vanbergen AJ. Multiple global change impacts on parasitism and biocontrol services in future agricultural landscapes. ADV ECOL RES 2021. [DOI: 10.1016/bs.aecr.2021.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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