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4,034 results for “Species associations”
Data from: Annual species’ experimental germination responses to light and temperature do not correspond with their microhabitat associations in the field
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Climate-associated variation in the drivers of benthic macroinvertebrate species-area relationships across shallow freshwater lakes
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Cross-species analysis identifies mitochondrial dysregulation as a functional consequence of the schizophrenia-associated 3q29 deletion
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Growth traits of a tropical timber species at Southeast Asia, Shorea macrophylla, and scripts for genome wide association study and genomic prediction
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Mycorrhizal types regulate tree spatial associations in temperate forests: ectomycorrhizal trees might favor species coexistence
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Size-associated energetic constraints on the seasonal onset of reproduction in a species with indeterminate growth
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Is variation in female aggressiveness across Drosophila species associated with reproductive potential?
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MCR LTER: Coral Reef: Community Dynamics: Physical Characteristics of Branching Acropora Patches and Species Richness and Abundances of Associated Fishes
Branching corals, like many in the genus Acropora, provide structurally complex habitats for reef fishes and other organisms. Fluctuations in the abundance, distribution and characteristics of staghorn Acroporid corals may contribute to changes in the abundance and species composition of reef fishes due to changes in the availability of shelter habitat and food. Farming damselfishes of the genus Stegastes occur in high abundances in staghorn thickets and actively defend food and nest space against organisms that threaten these resources. Here I examine the value of staghorn thickets as habitat for fishes, and how the presence of territorial farming damselfishes may influence the assemblage of fishes that associate with staghorn corals. Surveys of 185 Acropora pulchra thickets located in the lagoons surrounding the island of Moorea, French Polynesia revealed 85 species of fish from 25 families. Total fish abundance and species richness values ranged from no fish on a thicket to a high of 275 individuals and 26 species. Thicket area was the most important characteristic in explaining variation in attributes of the fish assemblage among staghorn thickets, with other characteristics explaining little of the species composition or trophic structure. Behavioral observations revealed that farming damselfishes were most aggressive toward corallivores, herbivores, and egg predators, while they ignored most carnivores and omnivores. Despite this pattern, I observed positive covariance between Stegastes and the group of fishes that elicited the strongest aggressive response when the effect of thicket area was removed, suggesting these fishes remain drawn to the resources produced or enhanced by Stegastes on A. pulchra thickets.
Figure 4 in An illustrated key to powder post beetles (Coleoptera, Bostrichidae) associated with rubberwood in Thailand, with new records and a checklist of species found in Southern Thailand
Figure 4. Dorsal views of Lyctoderma coomani Lesne, 1932 a Cephalotoma tonkinea Lesne, 1932 b.
Figure 2. Lyctus tomentosus Reitter, 1878. Dorsal view a in An illustrated key to powder post beetles (Coleoptera, Bostrichidae) associated with rubberwood in Thailand, with new records and a checklist of species found in Southern Thailand
Figure 2. Lyctus tomentosus Reitter, 1878. Dorsal view a, lateral view of head and pronotum b.
Figure 5. Apoleon edax Gorham, 1885. Dorsal view a in An illustrated key to powder post beetles (Coleoptera, Bostrichidae) associated with rubberwood in Thailand, with new records and a checklist of species found in Southern Thailand
Figure 5. Apoleon edax Gorham, 1885. Dorsal view a lateral view of head b.
Data from: Candidate gene SNP variation in floodplain populations of pedunculate oak (Quercus robur L.) near the species' southern range margin: weak differentiation yet distinct associations with water availability
<p>Populations residing near species' low-latitude range margins (LLM) often occur in warmer and drier environments than those in the core range. Thus, their genetic composition could be shaped by climatic drivers that differ from those occurring at higher latitudes, resulting in potentially adaptive variants of conservation value. Such variants could facilitate the adaptation of populations from other portions of the geographic range to similar future conditions anticipated under ongoing climate change. However, very few studies have assessed standing genetic variation at potentially adaptive loci in natural LLM populations. We investigated standing genetic variation at SNPs located within 117 candidate genes and its links to putative climatic selection pressures across 19 pedunculate oak (Quercus robur L.) populations distributed along a regional climatic gradient near the species' southern range margin in southeastern Europe. These populations are restricted to floodplain forests along large lowland rivers, whose hydric regime is undergoing significant shifts under modern rapid climate change. The populations showed very weak geographic structure, suggesting extensive genetic connectivity and gene flow or shared ancestry. We identified eight (6.2%) positive FST-outlier loci, and genotype-environment association analyses revealed consistent associations between SNP allele frequencies and several climatic variables linked to water availability. A total of 61 associations involving 37 SNPs (28.5%) from 35 annotated genes provided important insights into putative functional mechanisms in our system. Our findings provide empirical support for the role of LLM populations as sources of potentially adaptive variation that could enhance species' resilience to climate change-related pressures.</p>
Copy number variants outperform SNPs to reveal genotype-temperature association in a marine species
<p>Copy number variants (CNVs) are a major component of genotypic and phenotypic variation in genomes. To date, our knowledge of genotypic variation and evolution has largely been acquired by means of single nucleotide polymorphism (SNPs) analyses. Until recently, the adaptive role of structural variants (SVs) and particularly that of CNVs has been overlooked in wild populations, partly due to their challenging identification. Here, we document the usefulness of Rapture, a derived reduced‐representation shotgun sequencing approach, to detect and investigate copy number variants (CNVs) alongside SNPs in American lobster (<i>Homarus americanus</i>) populations. We conducted a comparative study to examine the potential role of SNPs and CNVs in local adaptation by sequencing 1,141 lobsters from 21 sampling sites within the southern Gulf of St. Lawrence, which experiences the highest yearly thermal variance of the Canadian marine coastal waters. Our results demonstrated that CNVs account for higher genetic differentiation than SNP markers. Contrary to SNPs, for which no significant genetic–environment association was found, 48 CNV candidates were significantly associated with the annual variance of sea surface temperature, leading to the genetic clustering of sampling locations despite their geographic separation. Altogether, we provide a strong empirical case that CNVs putatively contribute to local adaptation in marine species and unveil stronger spatial signal of population structure than SNPs. Our study provides the means to study CNVs in nonmodel species and highlights the importance of considering structural variants alongside SNPs to enhance our understanding of ecological and evolutionary processes shaping adaptive population structure.</p>
Figure 4 in Two new species of the genus Premicrodispus (Acari: Microdispidae) associated with beetles (Coleoptera: Lucanidae: Tenebrionidae), with a key to Palaearctic species of the genus
Figure 4. Premicrodispus paramaevi sp. nov., female. (A) Leg І; (B) leg II.
Figure 2 in Two new species of the genus Premicrodispus (Acari: Microdispidae) associated with beetles (Coleoptera: Lucanidae: Tenebrionidae), with a key to Palaearctic species of the genus
Figure 2. Premicrodispus paramaevi sp. nov., female. Venter of the body.
Figure 10 in Two new species of the genus Premicrodispus (Acari: Microdispidae) associated with beetles (Coleoptera: Lucanidae: Tenebrionidae), with a key to Palaearctic species of the genus
Figure 10. Premicrodispus spinosus sp. nov., female. (A) Leg III; (B) leg IV.
Data collected by fruit body– and DNA-based survey methods yield consistent species-to-species association networks in wood-inhabiting fungal communities
<p>Inferring interspecific interactions indirectly from community data is of central interest in community ecology. Data on species communities can be surveyed using different methods, each of which may differ in the amount and type of species detected, and thus produce varying information on interaction networks. Since fruit bodies reflect only a fraction of the woodinhabiting fungal diversity, there is an ongoing debate in fungal ecology on whether fruit body– based surveys are a valid method for studying fungal community dynamics compared to surveys based on DNA metabarcoding. In this paper, we focus on species-to-species associations and ask whether the associations inferred from data collected by fruit-body surveys reflect the ones found from data collected by DNA-based surveys. We estimate and compare the association networks resulting from different survey methods using a joint species distribution model. We recorded both raw and residual associations that respectively do not and do correct for the influence of the abiotic predictors when estimating the species-to-species associations. The analyses of the DNA data yielded a larger number of species-to-species associations than the analyses of the fruit body–based data as expected. Yet, we estimated unique associations also from the fruit-body data. Our results show that the directions of estimated residual associations were consistent between the data types, whereas the raw associations were much less consistent, highlighting the need to account for the influence of relevant environmental covariates when estimating association networks. We conclude that even though DNA-based survey methods are more informative about the total number of interacting species, fruit-body surveys are also an adequate method for inferring association networks in wood-inhabiting fungi. Since the DNA and fruit-body data carry on complementary information on fungal communities, the most comprehensive insights are obtained by combining the two survey methods.</p>
Documented socio-economic utitity of Asia-Pacific mangroves and mangrove-associate species
<p>We here present a table of listing non-timber uses of 203 different Asia-Pacific mangroves and mangrove-associate species. The table was assembled based on a selection of key published sources. The 409 uses compiled include food uses (staple/starch, vegetables, fruits, nuts and seeds, sweets and sugars, beverages, spices and as nectar source for beekeeping), domestic uses such as crafts, materials (stains, resins, fragrance, oil, roofing material and fiber) and as ornamental plants, animal husbandry uses (livestock feed or fodder) and uses for medicinal or personal care purposes. </p>
Trait-fitness associations do not predict within-species phenotypic evolution over 2 million years
Long-term patterns of phenotypic change are the cumulative results of tens of thousands to millions of years of evolution. Yet, empirical and theoretical studies of phenotypic selection are largely based on contemporary populations. The challenges in studying phenotypic evolution, in particular trait-fitness associations in the deep past, are barriers to linking micro- and macroevolution. Here, we capitalize on the unique opportunity offered by a marine colonial organism commonly preserved in the fossil record to investigate trait-fitness associations over 2 million years. We use the density of female polymorphs in colonies of <em>Antartothoa tongima</em> as a proxy for fecundity, a fitness component, and investigate multivariate signals of trait-fitness associations in six time intervals on the backdrop of Pleistocene climatic shifts. We detect negative trait-fitness associations for feeding polymorph (autozooid) sizes, positive associations for autozooid shape but no particular relationship between fitness and brood chamber size. In addition, we demonstrate that long-term trait patterns are explained by palaeoclimate and to a lesser extent by ecological interactions. Our analyses show that macroevolutionary outcomes of trait evolution are not a simple scaling-up from the trait-fitness associations.
Figure 1 in The species of Astymachus Howard (Hymenoptera: Encyrtidae)ı potentially important parasitoids of Aclerdidae (Hemiptera: Coccoidea) associated with grasses (Poaceae)ı with descriptions of three new species
Figure 1. Astymachus lasallei habitus ♀ (critical point dried, card-mounted specimen).
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.