Biology lessons in times of COVID: The pandemic has forced educators to teach and instruct online with varying success and challenges

Since COVID‐19 hit last year, lecturers and professors have been exploring digital and other tools to teach and instruct their students. Subject Categories: S&S: Careers & Training, Methods & Resources

As Director of the Digital Pedagogy Lab at the University of Colorado in Denver, USA, Michael Sean Morris’ work took on new significance as the COVID‐19 pandemic hit campuses around the world. “What happened with the pandemic was a lot of people who weren''t accustomed to teaching online, or dealing with distance learning, or remote learning in any way, shape, or form, really tried to create a live classroom situation on their screen, mostly using Zoom or other similar technologies”, Morris said. “With technology now, we can do things which make us feel closer. So, we can do a Zoom; there can be synchronous chat in technologies like Slack, or discussion forums or what‐have‐you to make you feel like you''re closer, to make you feel like you''re sort of together at the same time. But the majority of online learning actually has been asynchronous, it''s been everyone coming in when they can and doing their work when they can”.Educators have been divided over the use of online learning. But this changed when a deadly pandemic forced everyone from kindergarten to university into digital spaces. Luckily, many digital tools, such as Zoom, Slack, Blackboard Collaborate, or WhatsApp, were available to enable the migration. Nonetheless, teachers, lecturers, and professors struggle to educate their students with knowledge and the hands‐on training that is paramount for teaching biology.

… teachers, lecturers and professors struggle to educate their students with knowledge and the hands‐on training that is paramount for teaching biology.

     

Untangling the oxidative cost of reproduction: An analysis in wild banded mongooses

The cost of reproduction plays a central role in evolutionary theory, but the identity of the underlying mechanisms remains a puzzle. Oxidative stress has been hypothesized to be a proximate mechanism that may explain the cost of reproduction. We examine three pathways by which oxidative stress could shape reproduction. The “oxidative cost” hypothesis proposes that reproductive effort generates oxidative stress, while the “oxidative constraint” and “oxidative shielding” hypotheses suggest that mothers mitigate such costs through reducing reproductive effort or by pre‐emptively decreasing damage levels, respectively. We tested these three mechanisms using data from a long‐term food provisioning experiment on wild female banded mongooses (Mungos mungo). Our results show that maternal supplementation did not influence oxidative stress levels, or the production and survival of offspring. However, we found that two of the oxidative mechanisms co‐occur during reproduction. There was evidence of an oxidative challenge associated with reproduction that mothers attempted to mitigate by reducing damage levels during breeding. This mitigation is likely to be of crucial importance, as long‐term offspring survival was negatively impacted by maternal oxidative stress. This study demonstrates the value of longitudinal studies of wild animals in order to highlight the interconnected oxidative mechanisms that shape the cost of reproduction.     

COVID‐19 and the gain of function debates: Improving biosafety measures requires a more precise definition of which experiments would raise safety concerns

The COVID‐19 pandemic has rekindled debates about gain‐of‐function experiments. This is an opportunity to clearly define safety risks and appropriate countermeasures. Subject Categories: Economics, Law & Politics, Microbiology, Virology & Host Pathogen Interaction, Science Policy & Publishing

The so‐called “gain of function” research has been recently debated in the context of viral research on coronaviruses and whether it is too risky to undertake such experiments. However, the meaning of “gain of function” or “GOF” in a science policy context has changed over time. The term was originally coined to describe two controversial research projects on H5N1 avian influenza virus and was later applied to specific experiments on coronavirus. Subsequent policies and discussions have attempted to define GOF in different ways, but no single definition has been widely accepted by the community. The fuzzy and imprecise nature of the term has led to misunderstandings and has hampered discussions on how to properly assess the benefit of such experiments and biosafety measures.

The fuzzy and imprecise nature of the term GOF has led to misunderstandings and has hampered discussions on how to properly assess the benefit of such experiments and biosafety measures

     

Strength is in engagement: The rise of an online scientific community during the COVID‐19 pandemic

Many scientists, confined to home office by COVID‐19, have been gathering in online communities, which could become viable alternatives to physical meetings and conferences. Subject Categories: S&S: Careers & Training, Methods & Resources, S&S: Ethics

As COVID‐19 has brought work and travel to a grinding halt, scientists explored new ways to connect with each other. For the gene regulation community, this started with a Tweet that quickly expanded into the “Fragile Nucleosome” online forum, a popular seminar series, and many intimate discussions connecting scientists all over the world. More than 2,500 people from over 45 countries have attended our seminars so far and our forum currently has ~ 1,000 members who have kick‐started discussion groups and mentorship opportunities. Here we discuss our experience with setting up the Fragile Nucleosome seminars and online discussion forum, and present the tools to enable others to do the same.Too often, we forget the importance of social interactions in science. Indeed, many creative ideas originated from impromptu and fortuitous encounters with peers, in passing, over lunch, or during a conference coffee break. Now, the ongoing COVID‐19 crisis means prolonged isolation, odd working hours, and less social interactions for most scientists confined to home. This motivated us to create the “Fragile Nucleosome” virtual community for our colleagues in the chromatin and gene regulation field.

… the ongoing COVID‐19 crisis means prolonged isolation, odd working hours and less social interactions for most scientists confined to home.

While the need to address the void created by the COVID‐19 pandemic triggered our actions, a large part of the international community already has had limited access to research networks in our field. Our initiative offered new opportunities though, in particular for those who have not benefited from extensive networks, showing how virtual communities can address disparities in accessibility. This should not be a stop‐gap measure during the pandemic: Once we come out from our isolation, we still need to address the drawbacks of in‐person scientific conferences/seminars, such as economic disparities, travel inaccessibility, and overlapping family responsibilities (Sarabipour, 2020). Our virtual community offers some solutions to the standing challenges (Levine & Rathmell, 2020), and we hope our commentary can help start conversations about the advantages of virtual communities in a post‐pandemic world.

… once we come out from our isolation we still need to address the drawbacks of in‐person scientific conferences/seminars, such as economic disparities, travel inaccessibility and overlapping family responsibilities…

     

Age‐related changes in hippocampal‐dependent synaptic plasticity and memory mediated by p75 neurotrophin receptor

The plasticity mechanisms in the nervous system that are important for learning and memory are greatly impacted during aging. Notably, hippocampal‐dependent long‐term plasticity and its associative plasticity, such as synaptic tagging and capture (STC), show considerable age‐related decline. The p75 neurotrophin receptor (p75^NTR) is a negative regulator of structural and functional plasticity in the brain and thus represents a potential candidate to mediate age‐related alterations. However, the mechanisms by which p75^NTR affects synaptic plasticity of aged neuronal networks and ultimately contribute to deficits in cognitive function have not been well characterized. Here, we report that mutant mice lacking the p75^NTR were resistant to age‐associated changes in long‐term plasticity, associative plasticity, and associative memory. Our study shows that p75^NTR is responsible for age‐dependent disruption of hippocampal homeostatic plasticity by modulating several signaling pathways, including BDNF, MAPK, Arc, and RhoA‐ROCK2‐LIMK1‐cofilin. p75^NTR may thus represent an important therapeutic target for limiting the age‐related memory and cognitive function deficits.     

Biosafety in DIY‐bio laboratories: from hype to policy: Discussions about regulating DIY biology tend to ignore the extent of self‐regulation and oversight of DIY laboratories

Policymakers should treat DIY‐biology laboratories as legitimate parts of the scientific enterprise and pay attention to the role of community norms. Subject Categories: Synthetic Biology & Biotechnology, S&S: Economics & Business, S&S: Ethics

DIY biology – very broadly construed as the practice of biological experiments outside of traditional research environments such as universities, research institutes or companies – has, during the past decade, gained much prominence. This increased attention has raised a number of questions about biosafety and biosecurity, both in the media and by policy makers who are concerned about safety and security lapses in “garage biology”. There are a number of challenges here though when it comes to policies to regulate DIY biology. For a start, the term itself escapes easy definition: synonyms or related terms abound, including garage biotechnology, bio‐hacking, self‐modification/grinding, citizen science, bio‐tinkering, bio‐punk, even transhumanism. Some accounts even use ‘DIY‐bio’ interchangeably with synthetic biology, even though these terms refer to different emerging trends in biology. Some of these terms are more charged than others but each carries its own connotations with regard to practice, norms and legality. As such, conversations about the risk, safety and regulation of DIY‐bio can be fraught.

Synonyms or related terms abound, including garage biotechnology, bio‐hacking, self‐modification/grinding, citizen science, bio‐tinkering, bio‐punk, even transhumanism.

Given the increasing policy discussions about DIY‐bio, it is crucial to consider prevailing practice thoughtfully, and accurately. Key questions that researchers, policy makers and the public need to contemplate include the following: “How do different DIY‐bio spaces exist within regulatory frameworks, and enact cultures of (bio)safety?”, “How are these influenced by norms and governance structures?”, “If something is unregulated, must it follow that it is unsafe?” and “What about the reverse: does regulatory oversight necessarily lead to safer practice?”.The DIY‐bio movement emerged from the convergence of two trends in science and technology. The first one is synthetic biology, which can broadly be defined as a conception of genetic engineering as systematic, modular and programmable. While engineering living organisms is obviously a complex endeavour, synthetic biology has sought to re‐frame it by treating genetic components as inherently modular pieces to be assembled, through rational design processes, into complex but predictable systems. This has prompted many “LEGO” metaphors and a widespread sense of democratisation, making genetic engineering accessible not only to trained geneticists, but also to anyone with an “engineering mindset”.The second, much older, trend stems from hacker‐ and makerspaces, which are – usually not‐for‐profit – community organisations that enable groups of enthusiasts to share expensive or technically complex infrastructure, such as 3D printers or woodworking tools, for their projects. These provide a model of community‐led initiatives based on the sharing of infrastructure, equipment and knowledge. Underpinning these two trends is an economic aspect. Many of the tools of synthetic biology – notably DNA sequencing and synthesis – have seen a dramatic drop in cost, and much of the necessary physical apparatus is available for purchase, often second‐hand, through auction sites.DIY‐bio labs are often set‐up under widely varying management schemes. While some present themselves as community outreach labs focusing on amateur users, others cater specifically to semi‐ or professional members with advanced degrees in the biosciences. Other such spaces act as incubators for biotech startups with an explicitly entrepreneurial culture. Membership agreements, IP arrangements, fees, access and the types of project that are encouraged in each of these spaces can have a profound effect on the science being done.     

Spatial patterns of light‐demanding tree species in the Yangambi rainforest (Democratic Republic of Congo)

Most Central African rainforests are characterized by a remarkable abundance of light‐demanding canopy species: long‐lived pioneers (LLP) and non‐pioneer light demanders (NPLD). A popular explanation is that these forests are still recovering from intense slash‐and‐burn farming activities, which abruptly ended in the 19th century. This “human disturbance” hypothesis has never been tested against spatial distribution patterns of these light demanders. Here, we focus on the 28 most abundant LLP and NPLD from 250 one‐ha plots distributed along eight parallel transects (~50 km) in the Yangambi forest. Four species of short‐lived pioneers (SLP) and a single abundant shade‐tolerant species (Gilbertiodendron dewevrei) were used as reference because they are known to be strongly aggregated in recently disturbed patches (SLP) or along watercourses (G. dewevrei). Results show that SLP species are strongly aggregated with clear spatial autocorrelation of their diameter. This confirms that they colonized the patch following a one‐time disturbance event. In contrast, LLP and NPLD species have random or weakly aggregated distribution, mostly without spatial autocorrelation of their diameter. This does not unambiguously confirm the “human disturbance” hypothesis. Alternatively, their abundance might be explained by their deciduousness, which gave them a competitive advantage during long‐term drying of the late Holocene. Additionally, a canonical correspondence analysis showed that the observed LLP and NPLD distributions are not explained by environmental variables, strongly contrasting with the results for the reference species G. dewevrei, which is clearly aggregated along watercourses. We conclude that the abundance of LLP and NPLD species in Yangambi cannot be unambiguously attributed to past human disturbances or environmental variables. An alternative explanation is that present‐day forest composition is a result of adaptation to late‐Holocene drying. However, results are inconclusive and additional data are needed to confirm this alternative hypothesis.     

Ibrutinib modulates Aβ/tau pathology,neuroinflammation, and cognitive function in mouse models of Alzheimer's disease

We previously demonstrated that ibrutinib modulates LPS‐induced neuroinflammation in vitro and in vivo, but its effects on the pathology of Alzheimer''s disease (AD) and cognitive function have not been investigated. Here, we investigated the effects of ibrutinib in two mouse models of AD. In 5xFAD mice, ibrutinib injection significantly reduced Aβ plaque levels by promoting the non‐amyloidogenic pathway of APP cleavage, decreased Aβ‐induced neuroinflammatory responses, and significantly downregulated phosphorylation of tau by reducing levels of phosphorylated cyclin‐dependent kinase‐5 (p‐CDK5). Importantly, tau‐mediated neuroinflammation and tau phosphorylation were also alleviated by ibrutinib injection in PS19 mice. In 5xFAD mice, ibrutinib improved long‐term memory and dendritic spine number, whereas in PS19 mice, ibrutinib did not alter short‐ and long‐term memory but promoted dendritic spinogenesis. Interestingly, the induction of dendritic spinogenesis by ibrutinib was dependent on the phosphorylation of phosphoinositide 3‐kinase (PI3K). Overall, our results suggest that ibrutinib modulates AD‐associated pathology and cognitive function and may be a potential therapy for AD.     

Vegetation resistance and resilience to a decade‐long dry period in the temperate grasslands in China

The duration of climate anomalies has been increasing across the globe, leading to ecosystem function loss. Thus, we need to understand the responses of the ecosystem to long‐term climate anomalies. It remains unclear how ecosystem resistance and resilience respond to long‐term climate anomalies, for example, continuous dry years at a regional scale. Taking the opportunity of a 13‐year dry period in the temperate grasslands in northern China, we quantified the resistance and resilience of the grassland in response to this periodic dry period. We found vegetation resistance to the dry period increased with mean annual precipitation (MAP), while resilience increased at first until at MAP of 250 mm and then decreased slightly. No trade‐off between resistance and resilience was detected when MAP < 250 mm. Our results highlight that xeric ecosystems are most vulnerable to the long‐term dry period. Given expected increases in drought severity and duration in the coming decades, our findings may be helpful to identify vulnerable ecosystems in the world for the purpose of adaptation.     

Long‐term changes in occurrence,relative abundance,and reproductive fitness of bat species in relation to arrival of White‐nose Syndrome in West Virginia,USA

White‐nose syndrome (WNS) is a disease caused by the fungus Pseudogymnoascus destructans which has resulted in the deaths of millions of bats across eastern North America. To date, hibernacula counts have been the predominant means of tracking the spread and impact of this disease on bat populations. However, an understanding of the impacts of WNS on demographic parameters outside the winter season is critical to conservation and recovery of bat populations impacted by this disease. We used long‐term monitoring data to examine WNS‐related impacts to summer populations in West Virginia, where WNS has been documented since 2009. Using capture data from 290 mist‐net sites surveyed from 2003 to 2019 on the Monongahela National Forest, we estimated temporal patterns in presence and relative abundance for each bat species. For species that exhibited a population‐level response to WNS, we investigated post‐WNS changes in adult female reproductive state and body mass. Myotis lucifugus (little brown bat), M. septentrionalis (northern long‐eared bat), and Perimyotis subflavus (tri‐colored bat) all showed significant decreases in presence and relative abundance during and following the introduction of WNS, while Eptesicus fuscus (big brown bat) and Lasiurus borealis (eastern red bat) responded positively during the WNS invasion. Probability of being reproductively active was not significantly different for any species, though a shift to earlier reproduction was estimated for E. fuscus and M. septentrionalis. For some species, body mass appeared to be influenced by the WNS invasion, but the response differed by species and reproductive state. Results suggest that continued long‐term monitoring studies, additional research into impacts of this disease on the fitness of WNS survivors, and a focus on providing optimal nonwintering habitat may be valuable strategies for assessing and promoting recovery of WNS‐affected bat populations.     

Plant intelligence: Why,why not or where?

The concept of plant intelligence, as proposed by Anthony Trewavas, has raised considerable discussion. However, plant intelligence remains loosely defined; often it is either perceived as practically synonymous to Darwinian fitness, or reduced to a mere decorative metaphor. A more strict view can be taken, emphasizing necessary prerequisites such as memory and learning, which requires clarifying the definition of memory itself. To qualify as memories, traces of past events have to be not only stored, but also actively accessed. We propose a criterion for eliminating false candidates of possible plant intelligence phenomena in this stricter sense: an “intelligent” behavior must involve a component that can be approximated by a plausible algorithmic model involving recourse to stored information about past states of the individual or its environment. Re-evaluation of previously presented examples of plant intelligence shows that only some of them pass our test.

“You were hurt?” Kumiko said, looking at the scar.Sally looked down. “Yeah.”“Why didn''t you have it removed?”“Sometimes it''s good to remember.”“Being hurt?”“Being stupid.”—(W. Gibson: Mona Lisa Overdrive)

Key words: intelligence, memory, learning, plant development, mathematical models, plant neurobiology, definition of terms     

First insights into female sperm storage duration in tardigrades

Female sperm storage is ubiquitous in the animal kingdom and it has been shown to be linked to several evolutionary processes, from postcopulatory sexual selection to dispersal. Here we report, for the first time, long‐term sperm storage in females of the tardigrade Macrobiotus polonicus. Females, isolated after a short contact with a male, were able to use the stored sperm for up to 5 weeks (mean of 2 weeks), which translates to a considerable proportion of female post‐mating longevity under controlled laboratory conditions (60% on average). Our study provides the first insights into the duration of sperm storage, an underexplored feature of the reproductive biology of tardigrades. Additionally, we discuss important considerations for reproductive studies on these non‐model animals.     

A spatial model of the plant circadian clock reveals design principles for coordinated timing

Individual plant cells possess a genetic network, the circadian clock, that times internal processes to the day‐night cycle. Mathematical models of the clock are typically either “whole‐plant” that ignore tissue or cell type‐specific clock behavior, or “phase‐only” that do not include molecular components. To address the complex spatial coordination observed in experiments, here we implemented a clock network model on a template of a seedling. In our model, the sensitivity to light varies across the plant, and cells communicate their timing via local or long‐distance sharing of clock components, causing their rhythms to couple. We found that both varied light sensitivity and long‐distance coupling could generate period differences between organs, while local coupling was required to generate the spatial waves of clock gene expression observed experimentally. We then examined our model under noisy light‐dark cycles and found that local coupling minimized timing errors caused by the noise while allowing each plant region to maintain a different clock phase. Thus, local sensitivity to environmental inputs combined with local coupling enables flexible yet robust circadian timing.     

Space‐for‐time is not necessarily a substitution when monitoring the distribution of pelagic fishes in the San Francisco Bay‐Delta

Occupancy models are often used to analyze long‐term monitoring data to better understand how and why species redistribute across dynamic landscapes while accounting for incomplete capture. However, this approach requires replicate detection/non‐detection data at a sample unit and many long‐term monitoring programs lack temporal replicate surveys. In such cases, it has been suggested that surveying subunits within a larger sample unit may be an efficient substitution (i.e., space‐for‐time substitution). Still, the efficacy of fitting occupancy models using a space‐for‐time substitution has not been fully explored and is likely context dependent. Herein, we fit occupancy models to Delta Smelt (Hypomesus transpacificus) and Longfin Smelt (Spirinchus thaleichthys) catch data collected by two different monitoring programs that use the same sampling gear in the San Francisco Bay‐Delta, USA. We demonstrate how our inferences concerning the distribution of these species changes when using a space‐for‐time substitution. Specifically, we found the probability that a sample unit was occupied was much greater when using a space‐for‐time substitution, presumably due to the change in the spatial scale of our inferences. Furthermore, we observed that as the spatial scale of our inferences increased, our ability to detect environmental effects on system dynamics was obscured, which we suspect is related to the tradeoffs associated with spatial grain and extent. Overall, our findings highlight the importance of considering how the unique characteristics of monitoring programs influences inferences, which has broad implications for how to appropriately leverage existing long‐term monitoring data to understand the distribution of species.     

A CRISPR response to pandemics?: Exploring the ethics of genetically engineering the human immune system

Ethical challenges should be addressed before gene editing is made available to improve the immune response against emerging viruses. Subject Categories: S&S: Economics & Business, Genetics, Gene Therapy & Genetic Disease, Immunology

In 1881, Louis Pasteur proved the “germ theory of disease”, namely that microorganisms are responsible for causing a range of diseases. Following Pasteur’s and Robert Koch’s groundbreaking work on pathogens, further research during the 20^th century elucidated how the immune system fends off disease‐causing microorganisms from a molecular perspective.The COVID‐19 pandemic has again focused scientific and public attention on immunology not the least owing to the race of employing vaccines to halt the spread of the virus. Although most countries have now started vaccination programs to immunize a large part of the world''s population, the process will take time, vaccines may not be available to everyone, and a number of unresolved issues remain including the potential contagiousness of vaccinated individuals and the duration of protection (Polack et al, 2020).It would therefore be extremely helpful from a public health perspective—and indeed lifesaving for those with elevated risk of developing severe course of the disease—if we could boost the human immune system by other means to better fight off SARS‐CoV‐2 and possibly other viruses. Recent studies showing that some individuals may be less susceptible to contract severe COVID‐19 depending on their genetic status support such visions (COVID‐19 Host Genetics Initiative, 2020). This could eventually inspire research projects on gene therapy with the aim of generally enhancing immunity against viral infections.

It would therefore be extremely helpful from a public health perspective […] if we could boost the human immune system by other means to better fight off SARS‐CoV‐2 …

The idea of genetically enhancing the human immune response is not new and spread from academic circles to policymakers and the general public even before the pandemic, when He Jiankui announced in November 2018 the birth of genetically edited twins who, he claimed, were resistant to HIV. The public outcry was massive, not only because He violated standards of methodological rigor and research ethics, but also because of fundamental doubts about the wisdom and legitimacy of human germline manipulation (Schleidgen et al, 2020).Somatic gene therapy has been met with a less categorical rejection, but it has also been confronted with skepticism when major setbacks or untoward events occurred, such as the death of Jesse Gelsinger during an early clinical trial for gene therapy in 1999. Nonetheless, given the drastic impact the current pandemic has on so many lives, there may be a motivation to put concerns aside. In fact, even if we managed to get rid of COVID‐19 owing to vaccines—or at least to keep its infectiousness and mortality low—another virus will appear sooner or later; an improved resistance to viral pathogens—including coronaviruses—would be an important asset.Interventions to boost the immune system could in fact make use of either germline gene editing, as has been the case of the Chinese twins, or through somatic gene editing. The first requires time and only the next generation would potentially benefit while the latter could be immediately applied and theoretically used to deal with the ongoing COVID‐19 pandemic.

Interventions to boost the immune system could in fact make use of either germline gene editing, as has been the case of the Chinese twins, or through somatic gene editing.

     

Can effective population size estimates be used to monitor population trends of woodland bats? A case study of Myotis bechsteinii

Molecular approaches to calculate effective population size estimates (Ne) are increasingly used as an alternative to long‐term demographic monitoring of wildlife populations. However, the complex ecology of most long‐lived species and the consequent uncertainties in model assumptions means that effective population size estimates are often imprecise. Although methods exist to incorporate age structure into Ne estimations for long‐lived species with overlapping generations, they are rarely used owing to the lack of relevant information for most wild populations. Here, we performed a case study on an elusive woodland bat, Myotis bechsteinii, to compare the use of the parentage assignment Ne estimator (EPA) with the more commonly used linkage disequilibrium (LD) Ne estimator in detecting long‐term population trends, and assessed the impacts of deploying different overall sample sizes. We used genotypic data from a previously published study, and simulated 48 contrasting demographic scenarios over 150 years using the life history characteristics of this species The LD method strongly outperformed the EPA method. As expected, smaller sample sizes resulted in a reduced ability to detect population trends. Nevertheless, even the smallest sample size tested (n = 30) could detect important changes (60%–80% decline) with the LD method. These results demonstrate that genetic approaches can be an effective way to monitor long‐lived species, such as bats, provided that they are undertaken over multiple decades.     

Nitrogen addition,rather than altered precipitation,stimulates nitrous oxide emissions in an alpine steppe

Anthropogenic‐driven global change, including changes in atmospheric nitrogen (N) deposition and precipitation patterns, is dramatically altering N cycling in soil. How long‐term N deposition, precipitation changes, and their interaction influence nitrous oxide (N₂O) emissions remains unknown, especially in the alpine steppes of the Qinghai–Tibetan Plateau (QTP). To fill this knowledge gap, a platform of N addition (10 g m⁻² year⁻¹) and altered precipitation (±50% precipitation) experiments was established in an alpine steppe of the QTP in 2013. Long‐term N addition significantly increased N₂O emissions. However, neither long‐term alterations in precipitation nor the co‐occurrence of N addition and altered precipitation significantly affected N₂O emissions. These unexpected findings indicate that N₂O emissions are particularly susceptible to N deposition in the alpine steppes. Our results further indicated that both biotic and abiotic properties had significant effects on N₂O emissions. N₂O emissions occurred mainly due to nitrification, which was dominated by ammonia‐oxidizing bacteria, rather than ammonia‐oxidizing archaea. Furthermore, the alterations in belowground biomass and soil temperature induced by N addition modulated N₂O emissions. Overall, this study provides pivotal insights to aid the prediction of future responses of N₂O emissions to long‐term N deposition and precipitation changes in alpine ecosystems. The underlying microbial pathway and key predictors of N₂O emissions identified in this study may also be used for future global‐scale model studies.     

Early‐life conditions impact juvenile telomere length,but do not predict later life‐history strategies or fitness in a wild vertebrate

Environmental conditions experienced during early life may have long‐lasting effects on later‐life phenotypes and fitness. Individuals experiencing poor early‐life conditions may suffer subsequent fitness constraints. Alternatively, individuals may use a strategic “Predictive Adaptive Response” (PAR), whereby they respond—in terms of physiology or life‐history strategy—to the conditions experienced in early life to maximize later‐life fitness. Particularly, the Future Lifespan Expectation (FLE) PAR hypothesis predicts that when poor early‐life conditions negatively impact an individual''s physiological state, it will accelerate its reproductive schedule to maximize fitness during its shorter predicted life span. We aimed to measure the impact of early‐life conditions and resulting fitness across individual lifetimes to test predictions of the FLE hypothesis in a wild, long‐lived model species. Using a long‐term individual‐based dataset, we investigated how early‐life conditions are linked with subsequent fitness in an isolated population of the Seychelles warbler Acrocephalus sechellensis. How individuals experience early‐life environmental conditions may vary greatly, so we also tested whether telomere length—shorter telomers are a biomarker of an individual''s exposure to stress—can provide an effective measure of the individual‐specific impact of early‐life conditions. Specifically, under the FLE hypothesis, we would expect shorter telomeres to be associated with accelerated reproduction. Contrary to expectations, shorter juvenile telomere length was not associated with poor early‐life conditions, but instead with better conditions, probably as a result of faster juvenile growth. Furthermore, neither juvenile telomere length, nor other measures of early‐life conditions, were associated with age of first reproduction or the number of offspring produced during early life in either sex. We found no support for the FLE hypothesis. However, for males, poor early‐life body condition was associated with lower first‐year survival and reduced longevity, indicating that poor early‐life conditions pose subsequent fitness constraints. Our results also showed that using juvenile telomere length as a measure of early‐life conditions requires caution, as it is likely to not only reflect environmental stress but also other processes such as growth.