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Martiny, J. B.

Publications and source records attributed to Martiny, J. B..

7 recordsLinked to original sources

A life-history axis of resource acquisition in bacteria: depolymerisation versus uptake

Microbial decomposition of complex organic matter is a major control on the global carbon cycle, and its efficiency hinges on how microbes acquire resources. Decomposition requires costly extracellular enzymes to break down complex polymers, whereas the resulting soluble products are captured far more cheaply through membrane transporters. How microbes balance investment between these two processes is a fundamental axis of microbial life history, yet it has remained difficult to quantify across their vast diversity. Using genomic repertoires for carbohydrate depolymerisation and uptake, we developed a simple ratio distinguishing depolymerisation-optimised from uptake-optimised strategies, and applied it to more than 249,000 environmental and host-associated bacterial genomes. These strategies were strongly phylogenetically structured and differed by habitat, with uptake-optimised bacteria unexpectedly more prevalent in diffusion-limited soils than in aquatic environments. In an 18-month field-scale plant litter decomposition experiment, uptake-optimised bacteria dominated during early decomposition, when fungi were more abundant and strongly expressed hydrolytic enzymes, shifting towards depolymerisation-optimised bacteria at later stages. A simple genomic ratio therefore captures ecologically meaningful resource-acquisition strategies that vary with phylogeny, habitat and successional stage. The balance of these strategies could shape community-level extracellular enzyme investment, with consequences for decomposition and carbon cycling.

microbiology↗

The response of leaf litter bacterial communities to simulated drought depends on temperature

Microbial communities regulate carbon and nitrogen (N) cycling, yet their long-term responses to chronic global changes remain unclear. Using 12 years of grassland litter samples from the Loma Ridge Global Change Experiment in Irvine, California, we tested whether interactions between experimental drought and N deposition, and previously observed temporal variability are driven by background climatic conditions, including precipitation and temperature. Consistent with short-term studies, drought and N addition had relatively small effects on bacterial community composition compared to pronounced seasonal and interannual variability, with drought-by-year interactions explaining more variation than drought alone. Seasonal shifts were largely driven by short-term fluctuations in rainfall and temperature, whereas the substantial interannual variability in community composition was not captured by site-level climate metrics. Contrary to expectations, drought effects were influenced more by background temperature than precipitation, with the strongest effects observed in cooler years. Lastly, a bacterial taxons sensitivity to climate variability under ambient conditions did not predict its response to chronic drought. Together, our findings show that bacterial responses to drought are temporally dynamic and influenced by background temperature, underscoring the need for long-term longitudinal studies of soil microbial communities to better predict microbial responses under future global change. ImportanceMicrobial responses to global change, particularly drought and nitrogen addition, are often inferred from short-term studies (< 2 years), yet natural temporal variability may overshadow experimental effects. Using a 12-year dataset of grassland leaf litter communities, we show that temporal variability, both seasonal and interannual, exert a stronger influence on bacterial community composition than chronic drought or nitrogen deposition. These findings challenge assumptions about the magnitude of drought effects, particularly in naturally drought-affected ecosystem such as California grasslands and highlight the importance of long-term datasets for predicting microbial responses to climate change. By demonstrating that bacterial communities are strongly shaped by background climatic variability (baseline precipitation and temperature independent of imposed chronic treatments) and may be buffered to sustained drought, this work improves forecasts of ecosystem responses and informs the design of global change experiments and restoration strategies in future research studies.

microbiology↗

Bacterial population-level trade-offs between drought tolerance and resource acquisition traits impact decomposition

Microbes drive fundamental ecosystem processes such as decomposition. Environmental stressors are known to affect microbes, their fitness, and the ecosystem functions that they perform, yet understanding the causal mechanisms behind this influence has been difficult. We used leaf litter on soil surface as a model in situ system to assess changes in bacterial genomic traits and decomposition rates over 18 months with drought as a stressor. We hypothesized that genome-scale trade-offs due to investment in stress tolerance traits under drought reduce the capacity for bacterial populations to carry out decomposition; and that these population-level trade-offs scale up to impact emergent community traits thereby reducing decomposition rates. We observed drought tolerance mechanisms that were heightened in bacterial populations under drought, identified as higher gene copy numbers in metagenome-assembled genomes. A subset of populations under drought had reduced carbohydrate-active enzyme genes which suggested - as a trade-off - a decline in decomposition capabilities. These trade-offs were taxonomically structured as distinct patterns appeared in populations across families. We show that trait-tradeoffs in bacterial populations under drought could scale up to reduce overall decomposition capabilities and litter decay rates. Using a trait-based approach to assess the population ecology of soil bacteria, we demonstrate genome-level trade-offs in response to drought with consequences for decomposition rates.

ecology↗

High fiber, whole foods dietary intervention alters the human gut microbiome but not fecal short-chain fatty acids

Dietary shifts can have a direct impact on the gut microbiome by preferentially selecting for microbes capable of utilizing the various dietary nutrients. Intake of dietary fiber has decreased precipitously in the last century, while consumption of processed foods has increased. Fiber, or microbiota-accessible carbohydrates (MACs), persist in the digestive tract and can be metabolized by specific bacteria encoding fiber degrading enzymes. Digestion of MACs results in the accumulation of short-chain fatty acids (SCFAs) and other metabolic byproducts that are critical to human health. Here, we implemented a two-week dietary fiber intervention aiming for 40-50 grams of fiber per day within the context of a course-based undergraduate research experience (CURE) (n = 20). By coupling shotgun metagenomic sequencing and targeted gas-chromatography mass spectrometry (GC/MS), we found that the dietary intervention significantly altered the composition of individual gut microbiomes, accounting for 8.3% of the longitudinal variability within subjects. Notably, microbial taxa that increased in relative abundance as a result of the diet change included known MAC degraders (i.e., Bifidobacterium and Lactobacillus). We further assessed the genetic diversity within Bifidobacterium, assayed by amplification of the groEL gene. Concomitant with microbial composition changes, we show an increase in the abundance of genes involved in inositol degradation. Despite these changes in gut microbiome composition, we did not detect a consistent shift in SCFA abundance. Collectively, our results demonstrate that on a short-term timescale of two weeks, increased fiber intake can induce compositional changes of the gut microbiome, including an increase in MAC degrading bacteria. IMPORTANCEA profound decrease in the consumption of dietary fiber in many parts of the world in the last century may be associated with the increasing prevalence of Type II diabetes, colon cancer, and other health problems. A typical U.S. diet includes about [~]15 grams of fiber per day, far less fiber than daily recommended allowance. Changes in dietary fiber intake affect human health not only through the uptake of nutrients directly, but also indirectly through changes in the microbial community and their associated metabolism. Here we conducted a two-week diet intervention in healthy young adults to investigate the impact of fiber consumption on the gut microbiome. Participants increased their average fiber consumption by 25 grams/day on average for two weeks. The high fiber diet intervention altered the gut microbiome of the study participants, including increases in known fiber degrading microbes such as Bifidobacterium and Lactobacillus.

microbiology↗

Physiological adaptations of leaf litter microbial communities to long-term drought

Drought represents a significant stress to soil microorganisms and is known to reduce microbial activity and organic matter decomposition in Mediterranean ecosystems. However, we still lack a detailed understanding of the drought stress adaptations of microbial decomposers. We hypothesised that drought causes greater microbial allocation to stress tolerance relative to growth pathways. Here we present metatranscriptomic and metabolomic data on the physiological response of in situ microbial communities on plant leaf litter to long-term drought and pulse wetting in Californian grass and shrub ecosystems. Wetting litter after a long dry summer caused only subtle shifts in gene expression. On grass litter, communities from the decade-long ambient and reduced precipitation treatments had distinct functional profiles. The most discernable physiological adaptations to drought were production or uptake of compatible solutes to maintain cellular osmotic balance, and synthesis of capsular and extracellular polymeric substances as a mechanism to retain water. The results show a clear functional response to drought in grass litter communities with greater allocation to survival relative to growth that could affect decomposition under drought. In contrast, communities on chemically more diverse and complex shrub litter had smaller physiological differences in response to long-term drought but higher investment in resource acquisition traits across treatments, suggesting that the functional response to drought is constrained by substrate quality. Our findings suggest, for the first time in a field setting, a trade-off between microbial drought stress tolerance, resource acquisition and growth traits in leaf litter microbial communities.

microbiology↗

Defining trait-based microbial strategies with consequences for soil carbon cycling under climate change

Microorganisms are critical in terrestrial carbon cycling because their growth, activity and interactions with the environment largely control the fate of recent plant carbon inputs, as well as the stability of assimilated carbon (Gleixner, 2013; Schimel and Schaeffer, 2012). Soil carbon stocks reflect a balance between microbial decomposition and stabilization of organic carbon. The balance can shift under altered environmental conditions (Davidson and Janssens, 2006), and new research suggests that knowledge of microbial physiology may be critical for projecting changes in soil carbon and improving the prognosis of climate change feedbacks (Allison et al., 2010; Bradford et al., 2016; Liang et al., 2017; Wieder et al., 2015). Still, predicting the ecosystem implications of microbial processes remains a challenge. Here we argue that this challenge can be m ...

ecology↗

Ecological patterns are robust to use of exact sequence variants versus operational taxonomic units

Recent controversy focuses on the best method for delineating microbial taxa, based on either traditional operational taxonomic units (OTUs) or exact sequence variants (ESVs) of marker gene sequences. We sought to test if the binning approach (ESVs versus OTUs) affected the ecological conclusions of a large field study. The dataset included sequences of both bacteria (16S) and fungi (ITS), across multiple environments diverging markedly in abiotic conditions, over three collection times. Despite quantitative differences in microbial richness, we found that all alpha- and beta-diversity metrics were highly positively correlated (r > 0.90) between samples analyzed with both approaches. Moreover, the community composition of the dominant taxa did not vary between approaches. Consequently, statistical inferences were nearly indistinguishable. Thus, we conclude that for typical alpha- and beta-diversity analyses, OTU or ESV methods will likely reveal similar ecological results and determining which method to employ will depend on the question at hand.

microbiology↗