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Metabolites limiting predator growth wane with prey biodiversity.

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Title: Metabolites limiting predator growth wane with prey biodiversity.
Authors: Gen Li1 ting.liu@njau.edu.cn, Ting Liu1, Wangliang Xie1, Zhenzhen Liu1, Huixin Li1, Whalen, Joann K.2,3, Jousset, Alexandre1,4, Zhong Wei1
Source: Proceedings of the National Academy of Sciences of the United States of America. 12/24/2024, Vol. 121 Issue 52, p1-29. 41p.
Subjects: Microbial ecology, Predation, Soil microbiology, Metabolites, Bacterial communities
Abstract: Predator-prey interactions are a major driver of microbiome dynamics, but remain difficult to predict. While several prey traits potentially impact resistance to predation, their effects in a multispecies context remain unclear. Here, we leverage synthetic bacterial communities of varying complexity to identify traits driving palatability for nematodes, a main consumer of bacteria in soil. We assessed trophic interactions between four nematode species and 122 bacterial isolates, across a gradient of prey biodiversity ranging from single species to 50 species. Nematode size, a proxy for prey palatability, varied strongly with prey community composition and could be predicted by metabolic and morphological properties of the prey. However, the influence of prey traits on predators depended on biodiversity. Secondary metabolites drove palatability in monoculture, but this effect vanished under increasing prey biodiversity, where prey size became the dominant predictors of nematode size. Although idiosyncratic properties are often emphasized in the literatures, our results suggest that in biodiverse assemblages, the composition of available prey and their traits are more reliable predictors of predator-prey interactions. This study offers valuable insights into microbial ecology in the context of predator-prey interactions, as cryptic microbial responses can be guided by deductions based on generalizable biological traits. [ABSTRACT FROM AUTHOR]
Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 182119609
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Metabolites limiting predator growth wane with prey biodiversity.
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  Data: <searchLink fieldCode="AR" term="%22Gen+Li%22">Gen Li</searchLink><relatesTo>1</relatesTo><i> ting.liu@njau.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Ting+Liu%22">Ting Liu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wangliang+Xie%22">Wangliang Xie</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhenzhen+Liu%22">Zhenzhen Liu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Huixin+Li%22">Huixin Li</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Whalen%2C+Joann+K%2E%22">Whalen, Joann K.</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Jousset%2C+Alexandre%22">Jousset, Alexandre</searchLink><relatesTo>1,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhong+Wei%22">Zhong Wei</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Proceedings+of+the+National+Academy+of+Sciences+of+the+United+States+of+America%22">Proceedings of the National Academy of Sciences of the United States of America</searchLink>. 12/24/2024, Vol. 121 Issue 52, p1-29. 41p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Microbial+ecology%22">Microbial ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Predation%22">Predation</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+microbiology%22">Soil microbiology</searchLink><br /><searchLink fieldCode="DE" term="%22Metabolites%22">Metabolites</searchLink><br /><searchLink fieldCode="DE" term="%22Bacterial+communities%22">Bacterial communities</searchLink>
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  Label: Abstract
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  Data: Predator-prey interactions are a major driver of microbiome dynamics, but remain difficult to predict. While several prey traits potentially impact resistance to predation, their effects in a multispecies context remain unclear. Here, we leverage synthetic bacterial communities of varying complexity to identify traits driving palatability for nematodes, a main consumer of bacteria in soil. We assessed trophic interactions between four nematode species and 122 bacterial isolates, across a gradient of prey biodiversity ranging from single species to 50 species. Nematode size, a proxy for prey palatability, varied strongly with prey community composition and could be predicted by metabolic and morphological properties of the prey. However, the influence of prey traits on predators depended on biodiversity. Secondary metabolites drove palatability in monoculture, but this effect vanished under increasing prey biodiversity, where prey size became the dominant predictors of nematode size. Although idiosyncratic properties are often emphasized in the literatures, our results suggest that in biodiverse assemblages, the composition of available prey and their traits are more reliable predictors of predator-prey interactions. This study offers valuable insights into microbial ecology in the context of predator-prey interactions, as cryptic microbial responses can be guided by deductions based on generalizable biological traits. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1073/pnas.2410210121
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      – SubjectFull: Predation
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      – SubjectFull: Soil microbiology
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      – SubjectFull: Metabolites
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              Text: 12/24/2024
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