FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386482016> ?p ?o ?g. }

• W4386482016 endingPage "2032" @default.
• W4386482016 startingPage "2017" @default.
• W4386482016 abstract "Abstract Aim The geographical distribution of bacteria is an important, but poorly understood, topic in microbial ecology. A major question is how broadly distributed generalist taxa, and limitedly distributed specialist taxa, vary across a latitudinal gradient in freshwater ecosystems. We predict that: (a) generalists and specialists exhibit latitudinal diversity gradient with different patterns; (b) their community assemblies are mainly driven by stochastic processes; and (c) generalists coexist through niche differences, while specialists coexist through fitness differences. Location Sixty lakes and reservoirs in China, ranging from 18° N to 50° N. Time Period July–August in 2012 and 2018. Taxa Studied Bacterioplankton. Methods We clustered zero‐radius operational taxonomic unit (zOTU) (subspecies‐like level) into operational taxonomic unit (OTU) (species‐like level) and calculated the intra‐specific variation and spatial asynchrony of OTU. We examined the relative effects of environment versus space (latitude) on bacterial community and quantified the community assembly processes of generalists and specialists, respectively. The binary‐state speciation and extinction (BiSSE) model has been used to estimate the evolutionary characteristics. The abundances of the top zOTUs within each OTU were identified to reveal their niche preferences (distribution patterns at different sites). Results We found that bacterial generalists had a higher intra‐specific variation, greater asynchrony and wider niche width than the specialists. With increasing latitude, bacterial diversity decreased with abundance variations in generalists and occurrence variations in specialists, respectively. Diversification in stochastic processes was the main driving factor in both groups, though deterministic processes showed greater effects on specialists than generalists in local communities. Bacterial generalists coexisted through niche differences, whereas specialists coexisted through average fitness differences. Main Conclusions We demonstrated distinct latitudinal distribution patterns of bacterial generalists and specialists. These results highlight differences in biogeography of microbial generalist and specialist taxa mediated by intra‐specific variation and emphasize their distinctly vital roles mediated by differing mechanisms in freshwater ecosystems." @default.
• W4386482016 created "2023-09-07" @default.
• W4386482016 creator A5009350958 @default.
• W4386482016 creator A5022571053 @default.
• W4386482016 creator A5049208723 @default.
• W4386482016 creator A5052221074 @default.
• W4386482016 creator A5053783390 @default.
• W4386482016 creator A5072384618 @default.
• W4386482016 creator A5074000829 @default.
• W4386482016 creator A5088071535 @default.
• W4386482016 date "2023-09-06" @default.
• W4386482016 modified "2023-10-18" @default.
• W4386482016 title "Patterns of bacterial generalists and specialists in lakes and reservoirs along a latitudinal gradient" @default.
• W4386482016 cites W1968134992 @default.
• W4386482016 cites W1987321525 @default.
• W4386482016 cites W1988815439 @default.
• W4386482016 cites W1990826281 @default.
• W4386482016 cites W2007929767 @default.
• W4386482016 cites W2032709772 @default.
• W4386482016 cites W2034285706 @default.
• W4386482016 cites W2075536793 @default.
• W4386482016 cites W2119510208 @default.
• W4386482016 cites W2124351063 @default.
• W4386482016 cites W2130689678 @default.
• W4386482016 cites W2149981091 @default.
• W4386482016 cites W2150597302 @default.
• W4386482016 cites W2154860266 @default.
• W4386482016 cites W2179127468 @default.
• W4386482016 cites W2413067840 @default.
• W4386482016 cites W2513506562 @default.
• W4386482016 cites W2514351528 @default.
• W4386482016 cites W2591062488 @default.
• W4386482016 cites W2765955851 @default.
• W4386482016 cites W2767561351 @default.
• W4386482016 cites W2801131165 @default.
• W4386482016 cites W2982641752 @default.
• W4386482016 cites W2996946289 @default.
• W4386482016 cites W3029011181 @default.
• W4386482016 cites W3039906382 @default.
• W4386482016 cites W3097300064 @default.
• W4386482016 cites W3118029193 @default.
• W4386482016 cites W3207608254 @default.
• W4386482016 cites W4200067950 @default.
• W4386482016 cites W4200422666 @default.
• W4386482016 cites W4200551740 @default.
• W4386482016 cites W4223498807 @default.
• W4386482016 cites W4229970563 @default.
• W4386482016 cites W4236330639 @default.
• W4386482016 cites W4281752721 @default.
• W4386482016 cites W4281886187 @default.
• W4386482016 cites W4284882883 @default.
• W4386482016 cites W4294733758 @default.
• W4386482016 cites W4299349558 @default.
• W4386482016 cites W4384156391 @default.
• W4386482016 cites W615804209 @default.
• W4386482016 doi "https://doi.org/10.1111/geb.13751" @default.
• W4386482016 hasPublicationYear "2023" @default.
• W4386482016 type Work @default.
• W4386482016 citedByCount "0" @default.
• W4386482016 crossrefType "journal-article" @default.
• W4386482016 hasAuthorship W4386482016A5009350958 @default.
• W4386482016 hasAuthorship W4386482016A5022571053 @default.
• W4386482016 hasAuthorship W4386482016A5049208723 @default.
• W4386482016 hasAuthorship W4386482016A5052221074 @default.
• W4386482016 hasAuthorship W4386482016A5053783390 @default.
• W4386482016 hasAuthorship W4386482016A5072384618 @default.
• W4386482016 hasAuthorship W4386482016A5074000829 @default.
• W4386482016 hasAuthorship W4386482016A5088071535 @default.
• W4386482016 hasBestOaLocation W43864820161 @default.
• W4386482016 hasConcept C101991246 @default.
• W4386482016 hasConcept C102715595 @default.
• W4386482016 hasConcept C110872660 @default.
• W4386482016 hasConcept C133079900 @default.
• W4386482016 hasConcept C151730666 @default.
• W4386482016 hasConcept C153991713 @default.
• W4386482016 hasConcept C185933670 @default.
• W4386482016 hasConcept C18903297 @default.
• W4386482016 hasConcept C2779825944 @default.
• W4386482016 hasConcept C42062724 @default.
• W4386482016 hasConcept C45371612 @default.
• W4386482016 hasConcept C4590074 @default.
• W4386482016 hasConcept C523546767 @default.
• W4386482016 hasConcept C54355233 @default.
• W4386482016 hasConcept C71640776 @default.
• W4386482016 hasConcept C86803240 @default.
• W4386482016 hasConceptScore W4386482016C101991246 @default.
• W4386482016 hasConceptScore W4386482016C102715595 @default.
• W4386482016 hasConceptScore W4386482016C110872660 @default.
• W4386482016 hasConceptScore W4386482016C133079900 @default.
• W4386482016 hasConceptScore W4386482016C151730666 @default.
• W4386482016 hasConceptScore W4386482016C153991713 @default.
• W4386482016 hasConceptScore W4386482016C185933670 @default.
• W4386482016 hasConceptScore W4386482016C18903297 @default.
• W4386482016 hasConceptScore W4386482016C2779825944 @default.
• W4386482016 hasConceptScore W4386482016C42062724 @default.
• W4386482016 hasConceptScore W4386482016C45371612 @default.
• W4386482016 hasConceptScore W4386482016C4590074 @default.
• W4386482016 hasConceptScore W4386482016C523546767 @default.

• next