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Genomic regions associated with adaptation to predation in Daphnia often include members of expanded gene families.

ABSTRACT: Predation has been a major driver of the evolution of prey species, which consequently develop antipredator adaptations. However, little is known about the genetic basis underpinning the adaptation of prey to intensive predation. Here, we describe a high-quality chromosome-level genome assembly (approx. 145 Mb, scaffold N50 11.45 Mb) of Daphnia mitsukuri, a primary forage for many fish species. Transcriptional profiling of D. mitsukuri exposed to fish kairomone revealed that this cladoceran responds to predation risk through regulating activities of Wnt signalling, cuticle pattern formation, cell cycle regulation and anti-apoptosis pathways. Genes differentially expressed in response to predation risk are more likely to be members of expanded families. Our results suggest that expansions of multiple gene families associated with chemoreception and vision allow Daphnia to enhance detection of predation risk, and that expansions of those associated with detoxification and cuticle formation allow Daphnia to mount an efficient response to perceived predation risk. This study increases our understanding of the molecular basis of prey defences, being important evolutionary adaptations playing a stabilizing role in community dynamics.

SUBMITTER: Zhang X

PROVIDER: S-EPMC8316793 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

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Genomic regions associated with adaptation to predation in Daphnia often include members of expanded gene families.

Zhang Xiuping X Blair David D Wolinska Justyna J Ma Xiaolin X Yang Wenwu W Hu Wei W Yin Mingbo M

Proceedings. Biological sciences 20210728 1955

Predation has been a major driver of the evolution of prey species, which consequently develop antipredator adaptations. However, little is known about the genetic basis underpinning the adaptation of prey to intensive predation. Here, we describe a high-quality chromosome-level genome assembly (approx. 145 Mb, scaffold N50 11.45 Mb) of Daphnia mitsukuri, a primary forage for many fish species. Transcriptional profiling of D. mitsukuri exposed to fish kairomone revealed that this c ...[more]

PMID: 34315260

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Project description:After transitioning to a new environment, species often exhibit rapid phenotypic innovation. One of the fastest mechanisms for this is duplication followed by specialization of existing genes. When this happens to a member of a gene family, it tends to leave a detectable phylogenetic signature of lineage-specific expansions and contractions. These can be identified by analyzing the gene family across several species and identifying patterns of gene duplication and loss that do not correlate with the known relationships between those species. This signature, termed phylogenetic instability, has been previously linked to adaptations that change the way an organism samples and responds to its environment; conversely, low phylogenetic instability has been previously linked to proteins with endogenous functions. With the increase in genome-level data, there is a need to identify and quantify phylogenetic instability. Here, we present Minimizing Instability in Phylogenetics (MIPhy), a tool that solves this problem by quantifying the incongruence of a gene's evolutionary history. The motivation behind MIPhy was to produce a tool to aid in interpreting phylogenetic trees. It can predict which members of a gene family are under adaptive evolution, working only from a gene tree and the relationship between the species under consideration. While it does not conduct any estimation of positive selection-which is the typical indication of adaptive evolution-the results tend to agree. We demonstrate the usefulness of MIPhy by accurately predicting which members of the mammalian cytochrome P450 gene superfamily metabolize xenobiotics and which metabolize endogenous compounds. Our predictions correlate very well with known substrate specificities of the human enzymes. We also analyze the Caenorhabditis collagen gene family and use MIPhy to predict genes that produce an observable phenotype when knocked down in C. elegans, and show that our predictions correlate well with existing knowledge. The software can be downloaded and installed from https://github.com/dave-the-scientist/miphy and is also available as an online web tool at http://www.miphy.wasmuthlab.org.

Dataset Information

Genomic regions associated with adaptation to predation in Daphnia often include members of expanded gene families.

Publications

Genomic regions associated with adaptation to predation in <i>Daphnia</i> often include members of expanded gene families.

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