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Figs 84–92 in Key to the fungus-feeder Phlaeothripinae species from China (Thysanoptera: Phlaeothripidae)
Figs 84–92. Pleta, fore wing and abdominal tergite. 84–88. Pleta. 84. Holothrips attenuatus. 85. Holothrips hagai. 86. Holothrips hasegawai. 87. Holothrips porifer. 88. Holothrips hunanensis. 89. Apelaunothrips moutanus, base of fore wing. 90. Baenothrips ryukyuensis, abdominal tergite V. 91. Apelaunothrips consimilis, abdominal tergites IX–X. 92. Apelaunothrips nigripennis, abdominal tergites IX–X.
Figs 45–48. Head and pronotum. 45. Stephanothrips kentingensis. 46. Stephanothrips occidentalis. 47. Pygmaeothrips angusticeps. 48 in Key to the fungus-feeder Phlaeothripinae species from China (Thysanoptera: Phlaeothripidae)
Figs 45–48. Head and pronotum. 45. Stephanothrips kentingensis. 46. Stephanothrips occidentalis. 47. Pygmaeothrips angusticeps. 48. Strepterothrips orientalis.
Figs 101–105 in Key to the fungus-feeder Phlaeothripinae species from China (Thysanoptera: Phlaeothripidae)
Figs 101–105. Dorsal view of body. 101. Bradythrips zhangi. 102. Psalidothrips chebalingicus. 103. Psalidothrips longidens. 104. Terthrothrips palmatus. 105. Hyidiothrips guangdongensis.
Figs 17–20. Head and pronotum. 17. Ecacanthothrips inarmatus. 18. Ecacanthothrips tibialis. 19. Habrothrips curiosus. 20 in Key to the fungus-feeder Phlaeothripinae species from China (Thysanoptera: Phlaeothripidae)
Figs 17–20. Head and pronotum. 17. Ecacanthothrips inarmatus. 18. Ecacanthothrips tibialis. 19. Habrothrips curiosus. 20. Heliothripoides reticulates.
Figs 13–16. Head and pronotum. 13. Urothrips gibberosa. 14. Urothrips tarai. 15. Deplorothrips acutus. 16 in Key to the fungus-feeder Phlaeothripinae species from China (Thysanoptera: Phlaeothripidae)
Figs 13–16. Head and pronotum. 13. Urothrips gibberosa. 14. Urothrips tarai. 15. Deplorothrips acutus. 16. Deplorothrips medius.
Figs 57–66. Antenna. 57. Ecacanthothrips tibialis. 58. Holothrips flavus. 59. Hoplandrothrips bidens. 60. Hoplandrothrips coloratus. 61. Hoplandrothrips flavipes. 62. Hoplandrothrips nobilis. 63. Hoplandrothrips obesametae. 64. Hoplandrothrips ochraceus. 65. Hoplothrips orientalis. 66 in Key to the fungus-feeder Phlaeothripinae species from China (Thysanoptera: Phlaeothripidae)
Figs 57–66. Antenna. 57. Ecacanthothrips tibialis. 58. Holothrips flavus. 59. Hoplandrothrips bidens. 60. Hoplandrothrips coloratus. 61. Hoplandrothrips flavipes. 62. Hoplandrothrips nobilis. 63. Hoplandrothrips obesametae. 64. Hoplandrothrips ochraceus. 65. Hoplothrips orientalis. 66. Hyidiothrips brunneus.
Figs 33–36. Head and pronotum. 33. Phylladothrips pallidus. 34. Phylladothrips pictus. 35. Plectrothrips crassiceps. 36 in Key to the fungus-feeder Phlaeothripinae species from China (Thysanoptera: Phlaeothripidae)
Figs 33–36. Head and pronotum. 33. Phylladothrips pallidus. 34. Phylladothrips pictus. 35. Plectrothrips crassiceps. 36. Psephenothrips leptoceras.
Figs 41–44. Head and pronotum. 41. Sophiothrips nigrus. 42. Sophiothrips typicus. 43. Stephanothrips formosanus. 44 in Key to the fungus-feeder Phlaeothripinae species from China (Thysanoptera: Phlaeothripidae)
Figs 41–44. Head and pronotum. 41. Sophiothrips nigrus. 42. Sophiothrips typicus. 43. Stephanothrips formosanus. 44. Stephanothrips japonicus.
Supplemental Files for "A highly contiguous genome assembly reveals sources of genomic novelty in the symbiotic fungus Rhizophagus irregularis"
<p>Supplemental files for "A highly contiguous genome assembly reveals sources of genomic novelty in the symbiotic fungus Rhizophagus irregularis". This data is linked to the bioRxiv pre-print doi: https://doi.org/10.1101/2022.10.19.511543, an updated version of which is in press at G3: Genes|Genomes|Genetics, and corresponds to the NCBI BioProject PRJNA885267 and NCBI BioSample SAMN31081226.</p> <p> </p> <p><strong>Nuclear genome assembly</strong></p> <p>Rhizophagus_irregularis_DAOM197198_assembly.fasta</p> <p> </p> <p><strong>Illumina and Illumina+Nanopore gene annotations</strong></p> <p>Rhizophagus_irregularis_DAOM197198_Illumina+ONT_curated.gff3</p> <p>Rhizophagus_irregularis_DAOM197198_Illumina_curated.gff3</p> <p> </p> <p><strong>Illumina and Illumina+Nanopore functional gene annotations</strong></p> <p>Rhizophagus_irregularis_DAOM197198_annotations_Illumina+ONT.txt</p> <p>Rhizophagus_irregularis_DAOM197198_annotations_Illumina.txt</p> <p> </p> <p><strong>Illumina and Illumina+Nanopore CDS sequences</strong></p> <p><span>Rhizophagus_irregularis_DAOM197198_cds-transcripts_Illumina+ONT_curated.fa</span></p> <p>Rhizophagus_irregularis_DAOM197198_cds-transcripts_Illumina_curated.fa</p> <p> </p> <p><strong>Illumina and Illumina+Nanopore mRNA sequences</strong></p> <p>Rhizophagus_irregularis_DAOM197198_mrna-transcripts_Illumina+ONT_curated.fa</p> <p>Rhizophagus_irregularis_DAOM197198_mrna-transcripts_Illumina_curated.fa</p> <p> </p> <p><strong>Illumina and Illumina+Nanopore protein sequences</strong></p> <p><span>Rhizophagus_irregularis_DAOM197198_proteins_Illumina+ONT_curated.fa</span></p> <p>Rhizophagus_irregularis_DAOM197198_proteins_Illumina_curated.fa</p> <p> </p> <p><strong>GO terms for g:Profiler</strong><br> Rhizophagus_irregularis_DAOM197198_Illumina+ONT_GOterms.gmt<br> *Or use token gp__xfGY_dQeI_yx4</p> <p> </p> <p><strong>Repetitive and transposable element library and annotation</strong></p> <p>Rhizophagus_irregularis_DAOM197198_curatedrepeatlibrary.fasta</p> <p>Rhizophagus_irregularis_DAOM197198_repeatmasker.out</p> <p>Rhizophagus_irregularis_DAOM197198_repeats.gff3</p> <p> </p> <p><strong>DNA methylome (sequenced from spores)</strong></p> <p>Rhizophagus_irregularis_DAOM197198_mCG_mods_frequency.tsv</p> <p> </p> <p><strong>Poly(A) signal and tail sequences</strong></p> <p>Rhizophagus_irregularis_DAOM197198_pasa_polyAsite_analysis.out</p> <p>Rhizophagus_irregularis_DAOM197198_pasa_polyAsites.fasta</p> <p> </p> <p><strong>Small RNA annotation</strong></p> <p>Rhizophagus_irregularis_DAOM197198_sRNA.gff3</p> <p>Rhizophagus_irregularis_DAOM197198_sRNA.tsv</p> <p> </p> <p><strong>Mitochondrial genome assembly and annotation</strong></p> <p>Rhizophagus_irregularis_DAOM197198_mtDNA.fasta</p> <p>Rhizophagus_irregularis_DAOM197198_mtDNA.gff</p> <p> </p> <p><strong><em>R. irregularis</em> phylostratigraphy</strong></p> <p>Rhizophagus_irregularis_DAOM197198_1432141_phyloranks.tsv</p> <p>Rhizophagus_irregularis_DAOM197198_1432141_high-confidence_phyloranks.tsv</p> <p> </p> <p><strong>Mucoromycota fungi phylostratigraphy</strong></p> <p>Disdec1_101101_phyloranks.tsv</p> <p>Geopyr1_50956_phyloranks.tsv</p> <p>Gigmar1_4874_phyloranks.tsv</p> <p>Morel2_1314771_phyloranks.tsv</p> <p>Phybl2_4837_phyloranks.tsv</p> <p>Radspe1_64574_phyloranks.tsv</p> <p> </p> <p><strong>Fatty acid synthase phylogeny</strong></p> <p>FAS_genes_muscle5_msa.fa (alignments)</p> <p>FAS_genes.raxml.support (ML tree)</p>
Group composition of individual personalities alters social network structure in experimental populations of forked fungus beetles
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Group and individual social network metrics are robust to changes in resource distribution in experimental populations of forked fungus beetles
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Population genomics of a forest fungus reveals high gene flow and climate adaptation signatures
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Imprints of latitude, host taxon and decay stage on fungus-associated arthropod communities
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Patterns of genotype-specific interactions in an obligate host-specific insect pathogenic fungus
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Multilevel selection on social network traits differs between sexes in experimental populations of forked fungus beetles
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Figure 3 in Two new species of Aleocharinae (Coleoptera, Staphylinidae) found in fungus gardens of Odontotermes termites (Isoptera, Termitidae, Macrotermitinae) in Khao Yai National Park, Thailand
Figure 3. Habitus of Odontoxenus thailandicus. A dorsal view and B lateral view.
Niche differentiation and evolution of the wood decay machinery in the invasive fungus Serpula lacrymans
<p>Ecological niche breadth and the mechanisms facilitating its evolution are fundamental to understanding adaptation to changing environments, persistence of generalist and specialist lineages and the formation of new species. Woody substrates are structurally complex resources utilized by organisms with specialized decay machinery. Wood-decaying fungi represent ideal model systems to study evolution of niche breadth, as they vary greatly in their host range and preferred decay stage of the substrate. In order to dissect the genetic basis for niche specialization in the invasive brown rot fungus <i>Serpula lacrymans</i>, we used phenotyping and integrative analysis of phylogenomic and transcriptomic data to compare this species to wild relatives in the Serpulaceae with a range of specialist to generalist decay strategies. Our results indicate specialist species have rewired regulatory networks active during wood decay towards decreased reliance on enzymatic machinery, and therefore nitrogen-intensive decay components. This shift was likely accompanied with adaptation to a narrow tree line habitat and switch to a pioneer decomposer strategy, both requiring rapid colonization of a nitrogen-limited substrate. Among substrate specialists with narrow niches, we also found evidence for pathways facilitating reversal to generalism, highlighting how evolution may move along different axes of niche space.</p>
Social network position experiences more variable selection than weaponry in wild subpopulations of forked fungus beetles
<p>1. The phenotypic expression and fitness consequences of behaviors that are exhibited during social interactions are especially sensitive to their local social context. This context-dependence is expected to generate more variation in the sign and magnitude of selection on social behavior than that experienced by static characters like morphology. Relatively few studies, however, have examined selection on behavioral traits in multiple populations. 2. We estimated sexual selection in the wild to determine if the strength and form of selection on social phenotypes is more variable than that on morphology. 3. We compared selection gradients on social network position, body size, and weaponry of male forked fungus beetles (Bolitotherus cornutus) as they influenced mating success across nine natural subpopulations. 4. Male horn length consistently experienced positive sexual selection. However, the sign and magnitude of selection on individual measures of network centrality (strength and betweenness) differed significantly among subpopulations. Moreover, selection on social behaviors occurred at local scale ("soft selection"), whereas selection on horn length occurred at the metapopulation scale ("hard selection"). 5. These results indicate that an individual with a given social phenotype could experience different fitness consequences depending on the network it occupies. While individuals seem to be unable to escape the fitness effects of their morphology, they may have the potential to mediate the pressures of selection on behavioral phenotypes by moving among subpopulations or altering social connections within a network.</p>
Data from: Spatial patterning of soil microbial communities created by fungus-farming termites
<p><span><span><span><span><span><span><span><span><span><span><span>Spatially overdispersed mounds of fungus-farming termites (Macrotermitinae) are hotspots of nutrient availability and primary productivity in tropical savannas, creating spatial heterogeneity in communities and ecosystem functions. These termites influence the local availability of nutrients in part by redistributing nutrients across the landscape, but the links between termite ecosystem engineering and the soil microbes that are the metabolic agents of nutrient cycling are little understood. We used DNA metabarcoding of soils from <i>Odontotermes montanus</i> mounds to examine the influence of termites on soil microbial communities in a semi-arid Kenyan savanna. We found that bacterial and fungal communities were compositionally distinct in termite-mound topsoils relative to the surrounding savanna, and that bacterial communities were more diverse on mounds. The higher microbial alpha and beta diversity associated with mounds created striking spatial patterning in microbial community composition, and boosted landscape-scale microbial richness and diversity. Selected enzyme assays revealed consistent differences in potential enzymatic activity, suggesting links between termite-induced heterogeneity in microbial community composition and the spatial distribution of ecosystem functions. We conducted a large-scale field experiment in which we attempted to simulate termites' effects on microbes by fertilizing mound-sized patches; this altered both bacterial and fungal communities, but in a different way than natural mounds. Elevated levels of inorganic nitrogen, phosphorus, and potassium may help to explain the distinctive fungal communities in termite-mound soils, but cannot account for the distinctive bacterial communities associated with mounds.</span></span></span></span></span></span></span></span></span></span></span></p>
Evolution of morphological but not aggressiveness‐related traits following a major resistance breakdown in the poplar rust fungus, Melampsora larici‐populina
<p>Crop varieties carrying qualitative resistance to targeted pathogens lead to strong selection pressure on parasites, often resulting in resistance breakdown. It is well known that qualitative resistance breakdowns modify pathogen population structure but few studies have analysed the consequences on their quantitative aggressiveness-related traits. The aim of this study was to characterize the evolution of these traits following a resistance breakdown in the poplar rust fungus, <i>Melampsora larici-populina</i>. We based our experiment on three temporal populations sampled just before the breakdown event, immediately after and four years later. First, we quantified phenotypic differences among populations for a set of aggressiveness traits on a universally susceptible cultivar (infection efficiency, latent period, lesion size, mycelium quantity, and sporulation rate) and one morphological trait (mean spore volume). Then we estimated heritability to establish which traits could be subjected to adaptive evolution, and tested for evidence of selection. Our results revealed significant changes in the morphological trait but no variation in aggressiveness traits. By contrast, recent works have demonstrated that quantitative resistance (initially assumed more durable) could be eroded and lead to increased aggressiveness. Hence, this study is one example suggesting that the use of qualitative resistance may be revealed to be less detrimental to long term sustainable crop production.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.