BONCAT-FACS-Seq reveals the active fraction of a biocrust community undergoing a wet-up event

Incorporating microbiome analyses can enhance conservation of threatened species and ecosystem functions

Conservation genomics is a rapidly growing subdiscipline of conservation biology that uses genome-wide information to inform management of biodiversity at all levels. Such efforts typically focus on species or systems of conservation interest, but rarely consider associated microbes. At least three major approaches have been used to study how microorganisms broadly contribute to conservation areas: (1) diversity surveys map out microbial species distribution patterns in a variety of hosts, natural environments or regions; (2) functional surveys associate microbial communities with factors of interest, such as host health, symbiotic interactions, environmental characteristics, ecosystem processes, and biological invasions; and (3) manipulative experiments examine the response of changes to microbial communities or determine the functional roles of specific microbes within hosts or communities by adding, removing, or genetically modifying microbes. In practice, multiple approaches are often applied simultaneously. The results from all three conservation genomics approaches can be used to help design practical interventions and improve management actions, some of which we highlight below. However, experimental manipulations allow for more robust causal inferences and should be the ultimate goal of future work. Here we discuss how further integration of microbial research of a host's microbiome and of free living microbes into conservation biology will be an essential advancement for conservation of charismatic organisms and ecosystem functions in light of ongoing global environmental change.

Noncanonical Amino Acid Incorporation in Animals and Animal Cells

Noncanonical amino acids (ncAAs) are synthetic building blocks that, when incorporated into proteins, confer novel functions and enable precise control over biological processes. These small yet powerful tools offer unprecedented opportunities to investigate and manipulate various complex life forms. In particular, ncAA incorporation technology has garnered significant attention in the study of animals and their constituent cells, which serve as invaluable model organisms for gaining insights into human physiology, genetics, and diseases. This review will provide a comprehensive discussion on the applications of ncAA incorporation technology in animals and animal cells, covering past achievements, current developments, and future perspectives.

Nimble vs. torpid responders to hydration pulse duration among soil microbes

Environmental parameters vary in time, and variability is inherent in soils, where microbial activity follows precipitation pulses. The expanded pulse-reserve paradigm (EPRP) contends that arid soil microorganisms have adaptively diversified in response to pulse regimes differing in frequency and duration. To test this, we incubate Chihuahuan Desert soil microbiomes under separate treatments in which 60 h of hydration was reached with pulses of different pulse duration (PD), punctuated by intervening periods of desiccation. Using 16S rRNA gene amplicon data, we measure treatment effects on microbiome net growth, growth efficiency, diversity, and species composition, tracking the fate of 370 phylotypes (23% of those detected). Consistent with predictions, microbial diversity is a direct, saturating function of PD. Increasingly larger shifts in community composition are detected with decreasing PD, as specialist phylotypes become more prominent. One in five phylotypes whose fate was tracked responds consistently to PD, some preferring short pulses (nimble responders; NIRs) and some longer pulses (torpid responders; TORs). For pulses shorter than a day, microbiome growth efficiency is an inverse function of PD, as predicted. We conclude that PD in pulsed soil environments constitutes a major driver of microbial community assembly and function, largely consistent with the EPRP predictions.