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Our preprint “Local and regional processes drive distance decay in structure in a spatial multilayer plant-pollinator network” is now available on EcoEvoRxiv!

Our latest preprint, published on November 21, 2023, in EcoEvoRxiv, explores the intricate spatial dynamics of plant-pollinator communities across the Canary Islands. Using a unique multilayer network approach, we reveal how community structures evolve with geographical distance on a regional scale. Our findings highlight the important influence of local and regional processes in shaping these patterns.

The study provides a general framework for linking communities in space using multilayer networks and can be applied to other systems beyond plant-pollinator networks. You can access the full preprint here.

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Our new research, “Scale-dependent signatures of microbial co-occurrence revealed via multilayer network analysis,” is now available on EcoEvoRxiv!

The study uses the rumen microbiome of 1,012 cows in seven European farms as a case study to explore the complex interactions between microbes in highly diverse environments. Through multilayer network analysis, we unveil scale-dependent signatures of microbial co-occurrence, shedding light on the underlying processes that structure these networks. The multilayer network analysis approach used in this study could be applied to other contexts to study microbial communities and their functions. Read the full preprint here: EcoEvoRxiv

 

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Our paper was published in “Methods in Ecology and Evolution”. Give the EMLN R package a try.

Our article “Practical guidelines and the EMLN R package for handling ecological multilayer networks” was published in Methods in Ecology and Evolution on October 18, 2023. We’ve developed the EMLN R package, which simplifies working with ecological multilayer networks. It helps organize your multilayer network to use it with other popular tools. Plus, we’ve included practice data sets and step-by-step examples to help you get started.

Give the EMLN R package a try for your multilayer network.

You can access the published article via this DOI link: http://doi.org/10.1111/2041-210X.14225 

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Our research on cancer and ecological networks published in ‘Nature Communications’!

Our paper, “Ecological network analysis reveals cancer-dependent chaperone-client interaction structure and robustness, ” was officially published in “Nature Communications” on October 7th, 2023. 

By bringing concepts from ecological networks and applying them to molecular biology, we found a non-random, hierarchical pattern within the chaperone-client interaction networks operating in different cancer tissues. These findings could inform the development of cancer-specific drug therapies targeting these key chaperone-client interaction network components.

Access the complete article by following this DOI link: https://doi.org/10.1038/s41467-023-41906-2.

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Our new paper on EcoEvoRxiv, “Practical guidelines and the EMLN R package for handling ecological multilayer networks.”

Our new paper introduces the EMLN R package, a tool for analyzing multilayer networks. It provides practical guidelines and detailed code examples, making it easier for researchers to handle ecological multilayer networks (EMLNs). The package standardizes data structures and enables easy conversion for downstream analysis with common packages. Additionally, it offers practice data sets to help researchers get started with multilayer network analysis confidently. Detailed explanations on workflows accompanied by examples for handling monolayer and multilayer data using emln are in the link. Take a look at the paper here.

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Our paper “Invasive species modulate the structure and stability of a multilayer mutualistic network” was accepted and published by The Royal Society publishing!

Our paper titled “Invasive species modulate the structure and stability of a multilayer mutualistic network” published on June 28th, 2023, in “THE ROYAL SOCIETY” under the DOI https://doi.org/10.1098/rspb.2023.0132
Our model system and multilayer network analysis allow us to examine the broader consequences of disturbances, such as invasive species, on the structure and stability of multitrophic networks.

To read the paper, click on the link.

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We have published a paper “Conceptualizing microbe–plasmid communities as complex adaptive systems” on ScienceDirect

Our paper, ‘Conceptualizing microbe-plasmid communities as complex adaptive systems’ on ScienceDirect, available online starting from February 21, 2023. The article discusses the importance of understanding how plasmids shape microbial communities and proposes a theoretical approach to overcome the challenges of studying this complex system. Click on the link to read the paper.

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Our paper “Multilayer networks of plasmid genetic similarity reveal potential pathways of gene transmission” is available online in “The ISME Journal”

Our paper titled “Multilayer networks of plasmid genetic similarity reveal potential pathways of gene transmission” was published on February 9th, 2023, in “The ISME Journall” under the DOI https://doi.org/10.1038/s41396-023-01373-5. The study utilized multilayer networks to analyze the genetic similarity between plasmids in a population of dairy cows and sheds light on the spread of antimicrobial resistance (AMR) genes across animal hosts. For more details, please see our paper here.

 

 

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New paper on how non-native ungulates affect pollination-seed dispersal multilayer networks is on bioRxiv!

There is limited understanding of how the disruption of keystone interactions, which are known to be important in the relationship between structure and stability, impacts multitrophic networks. In this study, we used the example of the Patagonian hummingbird-mistletoe-marsupial keystone interaction and its disruption by an invasive ungulate species to address this gap. Our model system and multilayer network analysis allow us to examine the broader consequences of disturbances, such as invasive species, on the structure and stability of multitrophic networks. Take a look here.