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Biology subjects

Neumann, G.

Publications and source records attributed to Neumann, G..

5 recordsLinked to original sources

Functional traits shape plant-plant interactions and recruitment in a hotspot of woody plant diversity.

O_LIUnderstanding and predicting recruitment in species-rich plant communities requires identifying the functional determinants of both density-independent performance and interactions. C_LIO_LIIn a common-garden field experiment with 25 species of the woody plant genus Protea, we varied the initial spatial and taxonomic arrangement of seedlings and followed their survival and growth during recruitment. Neighbourhood models quantified how six key functional traits affect density-independent performance, interaction effects and responses. C_LIO_LITrait-based neighbourhood models accurately predicted individual survival and growth from the initial spatial and functional composition of species-rich experimental communities. Functional variation among species caused substantial variation in density-independent survival and growth that was not correlated with interaction effects and responses. Interactions were spatially-restricted but had important, predominantly competitive, effects on recruitment. Traits increasing the acquisition of limiting resources (water for survival, soil P for growth) mediated a trade-off between competitive effects and responses. Moreover, resprouting species had higher survival but reduced growth, likely reinforcing the survival-growth trade-off in adult plants. C_LIO_LIThe combination of field experiments and trait-based neighbourhood analyses holds substantial potential for community ecology. It permits the identification of traits that mediate performance trade-offs promoting coexistence in species-rich communities and contributes key knowledge to guide conservation and restoration of biodiversity hotspots. C_LI

ecology↗

Host network-based discovery of critical regulators of innate immunity, virus growth, and pathogenesis in influenza virus infection

Innate immunity is protective against viruses, but also can facilitate pathological infection responses. Despite intensive research, our understanding of the mechanisms that regulate innate immunity in virus infection remains incomplete. Systems biology-based data-driven modeling approaches hold substantial promise toward discovery of crucial innate immune signaling regulators, yet model-derived predictions are almost completely unexplored. Here, we carried out systematic experimental validation of candidate regulators predicted by a transcriptional association network model of influenza virus-infected cells. We identified dozens of novel innate immune signaling regulators with potent effects on the replication of influenza and other viruses, and importantly, we established the biological relevance of a validated regulator in vivo. Collectively, these findings aid in clarifying mechanisms of influenza virus pathogenicity and might lead to innovative approaches for treating influenza virus disease. Similar data-driven modeling strategies may be applicable for the study of other pathogen systems or immunological disorders.

microbiology↗

Cas12a2 elicits abortive infection via RNA-triggered destruction of double-stranded DNA

Bacterial abortive infection systems limit the spread of foreign invaders by shutting down or killing infected cells before the invaders can replicate1, 2. Several RNA-targeting CRISPR-Cas systems (e.g., types III and VI) cause Abi phenotypes by activating indiscriminate RNases3-5. However, a CRISPR-mediated abortive mechanism that relies on indiscriminate DNase activity has yet to be observed. Here we report that RNA targeting by the type V Cas12a2 nuclease drives abortive infection through non-specific cleavage of double-stranded (ds)DNA. Upon recognition of an RNA target with an activating protospacer-flanking sequence, Cas12a2 efficiently degrades single-stranded (ss)RNA, ssDNA, and dsDNA. Within cells, the dsDNase activity induces an SOS response and impairs growth, stemming the infection. Finally, we harnessed the collateral activity of Cas12a2 for direct RNA detection, demonstrating that Cas12a2 can be repurposed as an RNA-guided, RNA-targeting tool. These findings expand the known defensive capabilities of CRISPR-Cas systems and create additional opportunities for CRISPR technologies.

microbiology↗

Avian H7N9 influenza viruses are evolutionarily constrained by stochastic processes during replication and transmission in mammals

H7N9 avian influenza viruses (AIV) have caused over 1,500 documented human infections since emerging in 2013. Although wild type H7N9 AIV can transmit by respiratory droplets in ferrets, they have not yet caused widespread outbreaks in humans. Previous studies have revealed molecular determinants of H7N9 AIV virus host-switching, but little is known about potential evolutionary constraints on this process. Here we compare patterns of sequence evolution for H7N9 AIV and mammalian H1N1 viruses during replication and transmission in ferrets. We show that three main factors - purifying selection, stochasticity, and very narrow transmission bottlenecks - combine to severely constrain the ability of H7N9 AIV to effectively adapt to mammalian hosts in isolated, acute spillover events. We find rare evidence of natural selection favoring new or mammalian-adapting mutations within ferrets, but no evidence of natural selection acting during transmission. We conclude that human-adapted H7N9 viruses are unlikely to emerge during typical spillover infections. Our findings are instead consistent with a model in which the emergence of a human-transmissible virus would be a rare and unpredictable, though highly consequential, "jackpot" event. Strategies to limit the total number of spillover infections will limit opportunities for the virus to win this evolutionary lottery.

microbiology↗

Robustness of the ferret model for influenza risk assessment studies: a cross-laboratory exercise

Ferrets represent the preferred animal model for assessing the transmission potential of newly emerged zoonotic influenza viruses. However, heterogeneity among established experimental protocols and facilities across different laboratories may lead to variable results, complicating interpretation of transmission experimental data. Between 2018-2020, a global exercise was conducted by 11 participating laboratories to assess the range of variation in ferret transmission experiments using two common stock H1N1 influenza viruses that possess different transmission characteristics in ferrets. Inoculation route, dose, and volume were standardized, and all participating laboratories followed the same experimental conditions for respiratory droplet transmission, including a strict 1:1 donor:contact ratio. Additional host and environmental parameters likely to affect influenza transmission kinetics were monitored throughout. Overall transmission outcomes for both viruses across 11 laboratories were concordant, suggesting the robustness of the ferret model for zoonotic influenza risk assessment. To attain high confidence in identifying zoonotic influenza viruses with moderate-to-high or low transmissibility, our analyses support that as few as three but as many as five laboratories, respectively, would need to independently perform viral transmission experiments with concordant results. This exercise facilitates the development of a more homogenous protocol for ferret transmission experiments that are employed for the purposes of risk assessment.

microbiology↗