04216nas a2200565 4500008004100000022001400041245011200055210006900167260001500236300001400251490000700265520256200272653001602834653002402850653001902874653002202893653001602915653001302931653001502944653001802959653002002977653001902997100002303016700002503039700002103064700002103085700002503106700002303131700002503154700003003179700002203209700002803231700002103259700001703280700002503297700002703322700001803349700002203367700002403389700002003413700001503433700002203448700002503470700001903495700001903514700001803533700002303551700001803574856005803592 2022 eng d a1464-793100aFeeding habits and multifunctional classification of soil-associated consumers from protists to vertebrates0 aFeeding habits and multifunctional classification of soilassocia c20/01/2022 a1057-11170 v973 a

Soil organisms drive major ecosystem functions by mineralising carbon and releasing nutrients during decomposition processes, which supports plant growth, aboveground biodiversity and, ultimately, human nutrition. Soil ecologists often operate with functional groups to infer the effects of individual taxa on ecosystem functions and services. Simultaneous assessment of the functional roles of multiple taxa is possible using food-web reconstructions, but our knowledge of the feeding habits of many taxa is insufficient and often based on limited evidence. Over the last two decades, molecular, biochemical and isotopic tools have improved our understanding of the feeding habits of various soil organisms, yet this knowledge is still to be synthesised into a common functional framework. Here, we provide a comprehensive review of the feeding habits of consumers in soil, including protists, micro-, meso- and macrofauna (invertebrates), and soil-associated vertebrates. We have integrated existing functional group classifications with findings gained with novel methods and compiled an overarching classification across taxa focusing on key universal traits such as food resource preferences, body masses, microhabitat specialisation, protection and hunting mechanisms. Our summary highlights various strands of evidence that many functional groups commonly used in soil ecology and food-web models are feeding on multiple types of food resources. In many cases, omnivory is observed down to the species level of taxonomic resolution, challenging realism of traditional soil food-web models based on distinct resource-based energy channels. Novel methods, such as stable isotope, fatty acid and DNA gut content analyses, have revealed previously hidden facets of trophic relationships of soil consumers, such as food assimilation, multichannel feeding across trophic levels, hidden trophic niche differentiation and the importance of alternative food/prey, as well as energy transfers across ecosystem compartments. Wider adoption of such tools and the development of open interoperable platforms that assemble morphological, ecological and trophic data as traits of soil taxa will enable the refinement and expansion of the multifunctional classification of consumers in soil. The compiled multifunctional classification of soil-associated consumers will serve as a reference for ecologists working with biodiversity changes and biodiversity?ecosystem functioning relationships, making soil food-web research more accessible and reproducible.

10afatty acids10afeeding preferences10afood resources10afunctional traits10agut content10aomnivory10aSoil fauna10asoil food web10astable isotopes10atrophic guilds1 aPotapov, Anton, M.1 aBeaulieu, Frédéric1 aBirkhofer, Klaus1 aBluhm, Sarah, L.1 aDegtyarev, Maxim, I.1 aDevetter, Miloslav1 aGoncharov, Anton, A.1 aGongalsky, Konstantin, B.1 aKlarner, Bernhard1 aKorobushkin, Daniil, I.1 aLiebke, Dana, F.1 aMaraun, Mark1 aDonnell, Rory, J. Mc1 aPollierer, Melanie, M.1 aSchaefer, Ina1 aShrubovych, Julia1 aSemenyuk, Irina, I.1 aSendra, Alberto1 aTuma, Jiri1 aTůmová, Michala1 aVassilieva, Anna, B.1 aChen, Ting-Wen1 aGeisen, Stefan1 aSchmidt, Olaf1 aTiunov, Alexei, V.1 aScheu, Stefan uhttps://onlinelibrary.wiley.com/doi/10.1111/brv.1283202448nas a2200241 4500008004100000022001400041245008000055210006900135260001500204300000900219490000700228520175800235653001801993653002002011653001402031653002002045653002202065653002102087653001702108100002002125700001802145856004302163 2020 eng d a2075-445000aSoil Health and Arthropods: From Complex System to Worthwhile Investigation0 aSoil Health and Arthropods From Complex System to Worthwhile Inv c16/01/2020 a1-210 v113 a

The dramatic increase in soil degradation in the last few decades has led to the need to identify methods to define not only soil quality but also, in a holistic approach, soil health. In the past twenty years, indices based on living communities have been proposed alongside the already proven physical-chemical methods. Among them, some soil invertebrates have been included in monitoring programs as bioindicators of soil quality. Being an important portion of soil fauna, soil arthropods are involved in many soil processes such as organic matter decomposition and translocation, nutrient cycling, microflora activity regulation and bioturbation. Many studies have reported the use of soil arthropods to define soil quality; among taxa, some have been explored more in depth, typically Acari and Collembola, while generally less abundant groups, such as Palpigradi or Embioptera, have not been investigated much. This paper aims to evaluate and compare the use of different soil microarthropod taxa in soil degradation/quality studies to highlight which groups are the most reported for soil monitoring and which are the most sensitive to soil degradation. We have decided not to include the two most present and abundant taxa, Acari and Collembola, in this paper in consideration of the vast amount of existing literature and focus the discussion on the other microarthropod groups. We reported some studies for each taxon highlighting the use of the group as soil quality indicator. A brief section reporting some indices based on soil microarthropods is proposed at the end of this specific discussion. This paper can be considered as a reference point in the use of soil arthropods to estimate soil quality and health.

10abioindicators10amacroarthropods10amesofauna10amicroarthropods10asoil biodiversity10asoil degradation10asoil quality1 aMenta, Cristina1 aRemelli, Sara uhttps://www.mdpi.com/2075-4450/11/1/5402624nas a2200229 4500008004100000022001400041245006100055210006100116260001500177300000900192490000800201520194600209653001902155653002702174653001802201653002302219653001902242100002002261700002402281700002202305856006702327 2020 eng d a0965-174800aDiversity and evolution of the P450 family in arthropods0 aDiversity and evolution of the P450 family in arthropods c22/10/2020 a1-220 v1273 a

The P450 family (CYP genes) of arthropods encodes diverse enzymes involved in the metabolism of foreign compounds and in essential endocrine or ecophysiological functions. The P450 sequences (CYPome) from 40 arthropod species were manually curated, including 31 complete CYPomes, and a maximum likelihood phylogeny of nearly 3000 sequences is presented. Arthropod CYPomes are assembled from members of six CYP clans of variable size, the CYP2, CYP3, CYP4 and mitochondrial clans, as well as the CYP20 and CYP16 clans that are not found in Neoptera. CYPome sizes vary from two dozen genes in some parasitic species to over 200 in species as diverse as collembolans or ticks. CYPomes are comprised of few CYP families with many genes and many CYP families with few genes, and this distribution is the result of dynamic birth and death processes. Lineage-specific expansions or blooms are found throughout the phylogeny and often result in genomic clusters that appear to form a reservoir of catalytic diversity maintained as heritable units. Among the many P450s with physiological functions, six CYP families are involved in ecdysteroid metabolism. However, five so-called Halloween genes are not universally represented and do not constitute the unique pathway of ecdysteroid biosynthesis. The diversity of arthropod CYPomes has only partially been uncovered to date and many P450s with physiological functions regulating the synthesis and degradation of endogenous signal molecules (including ecdysteroids) and semiochemicals (including pheromones and defense chemicals) remain to be discovered. Sequence diversity of arthropod P450s is extreme, and P450 sequences lacking the universally conserved Cys ligand to the heme have evolved several times. A better understanding of P450 evolution is needed to discern the relative contributions of stochastic processes and adaptive processes in shaping the size and diversity of CYPomes.

10aDetoxification10aEcdysteroid metabolism10aGene clusters10aOrthologous groups10aP450 Evolution1 aDermauw, Wannes1 aVan Leeuwen, Thomas1 aFeyereisen, René uhttps://linkinghub.elsevier.com/retrieve/pii/S096517482030179X03914nas a2200505 4500008004100000022001400041245012800055210006900183260001500252300000900267490000700276520241600283653002402699653001302723653002302736653002102759653001802780653001802798653002102816653001202837653001902849100002702868700002002895700002202915700002102937700002202958700001802980700001702998700001703015700001803032700002303050700002003073700002303093700002403116700001803140700002403158700002803182700002703210700001903237700002003256700001403276700001903290700002103309856007803330 2020 eng d a1471-214800aFour myriapod relatives – but who are sisters? No end to debates on relationships among the four major myriapod subgroups0 aFour myriapod relatives but who are sisters No end to debates on c04/11/2020 a1-150 v203 a

Background: Phylogenetic relationships among the myriapod subgroups Chilopoda, Diplopoda, Symphyla and Pauropoda are still not robustly resolved. The first phylogenomic study covering all subgroups resolved phylogenetic relationships congruently to morphological evidence but is in conflict with most previously published phylogenetic trees based on diverse molecular data. Outgroup choice and long-branch attraction effects were stated as possible explanations for these incongruencies. In this study, we addressed these issues by extending the myriapod and outgroup taxon sampling using transcriptome data.

Results: We generated new transcriptome data of 42 panarthropod species, including all four myriapod subgroups and additional outgroup taxa. Our taxon sampling was complemented by published transcriptome and genome data resulting in a supermatrix covering 59 species. We compiled two data sets, the first with a full coverage of genes per species (292 single-copy protein-coding genes), the second with a less stringent coverage (988 genes). We inferred phylogenetic relationships among myriapods using different data types, tree inference, and quartet computation approaches. Our results unambiguously support monophyletic Mandibulata and Myriapoda. Our analyses clearly showed that there is strong signal for a single unrooted topology, but a sensitivity of the position of the internal root on the choice of outgroups. However, we observe strong evidence for a clade Pauropoda+Symphyla, as well as for a clade Chilopoda+Diplopoda.

Conclusions: Our best quartet topology is incongruent with current morphological phylogenies which were supported in another phylogenomic study. AU tests and quartet mapping reject the quartet topology congruent to trees inferred with morphological characters. Moreover, quartet mapping shows that confounding signal present in the data set is sufficient to explain the weak signal for the quartet topology derived from morphological characters. Although outgroup choice affects results, our study could narrow possible trees to derivatives of a single quartet topology. For highly disputed relationships, we propose to apply a series of tests (AU and quartet mapping), since results of such tests allow to narrow down possible relationships and to rule out confounding signal.

 

10aArthropod phylogeny10aconflict10aConfounding signal10aInternal rooting10aPhylogenetics10aphylogenomics10aQuartet topology10aRNA-Seq10aTranscriptomes1 aSzucsich, Nikolaus, U.1 aBartel, Daniela1 aBlanke, Alexander1 aBöhm, Alexander1 aDonath, Alexander1 aFukui, Makiko1 aGrove, Simon1 aLiu, Shanlin1 aMacek, Oliver1 aMachida, Ryuichiro1 aMisof, Bernhard1 aNakagaki, Yasutaka1 aPodsiadlowski, Lars1 aSekiya, Kaoru1 aTomizuka, Shigekazu1 aVon Reumont, Björn, M.1 aWaterhouse, Robert, M.1 aWalzl, Manfred1 aMeng, Guanliang1 aZhou, Xin1 aPass, Günther1 aMeusemann, Karen uhttps://bmcevolbiol.biomedcentral.com/articles/10.1186/s12862-020-01699-0