How informative is the mouse for human gut microbiota research?

The microbiota of the human gut is gaining broad attention owing to its association with a wide range of diseases, ranging from metabolic disorders (e.g. obesity and type 2 diabetes) to autoimmune diseases (such as inflammatory bowel disease and type 1 diabetes), cancer and even neurodevelopmental disorders (e.g. autism). Having been increasingly used in biomedical research, mice have become the model of choice for most studies in this emerging field. Mouse models allow perturbations in gut microbiota to be studied in a controlled experimental setup, and thus help in assessing causality of the complex host-microbiota interactions and in developing mechanistic hypotheses. However, pitfalls should be considered when translating gut microbiome research results from mouse models to humans. In this Special Article, we discuss the intrinsic similarities and differences that exist between the two systems, and compare the human and murine core gut microbiota based on a meta-analysis of currently available datasets. Finally, we discuss the external factors that influence the capability of mouse models to recapitulate the gut microbiota shifts associated with human diseases, and investigate which alternative model systems exist for gut microbiota research.KEY WORDS: Gut microbiota, Humanized mouse models, Mouse core gut microbiota, Mouse models, Mouse pan-gut microbiota     

How acidic is the lumen?

Proton motive force (pmf), established across the thylakoid membrane by photosynthetic electron transfer, functions both to drive the synthesis of ATP and initiate processes that down-regulate photosynthesis. At the same time, excessively low lumen pH can lead to the destruction of some lumenal components and sensitization of the photosynthetic apparatus to photoinhibition. Therefore, in order to understand the energy budget of photosynthesis, its regulation and responses to environmental stresses, it is essential to know the magnitude of pmf, its distribution between pH and the electric field () as well as the relationships between these parameters and G_ATP, and down-regulatory and inhibitory processes. We review past estimates of lumen pH and propose a model that can explain much of the divergent data in the literature. In this model, in intact plants under permissive conditions, photosynthesis is regulated so that lumen pH remains mod erate (between 5.8 and 6.5), where it modulates the activity of the violaxanthin deepoxidase, does not significantly restrict the turnover of the cytochrome b₆f complex, and does not destabilize the oxygen evolving complex. Only under stressed conditions, where light input exceeds the capacity of both photosynthesis and down-regulatory processes, does lumen pH decrease below 5, possibly contributing to photoinhibition. A value of n = 4 for the stoichiometry of protons pumped through the ATP synthase per ATP synthesized, and a minor contribution of to pmf, will allow moderate lumen pH to sustain the observed levels of G_ATP.     

Why is the house mouse karyotype so variable?

rates of robertsonian chromosomal evolution in the Western European house mouse are about two orders of magnitude greater than for most other mammals. This has resulted in a remarkable diversity of karyotypic races in a very short period of time. Recent studies are beginning to shed light on the relative contributions of mutation, drift, selection and meiotic drive in producing this pattern.     

What use is the human genome for understanding the mouse?

Having a working draft of the human genome sequence is proving invaluable to mouse genetic and genomic studies, providing a useful stepping-stone towards the finished sequence of the mouse genome.     

Nucleosome positioning: How is it established, and why does it matter?

Packaging of eukaryotic genomes into chromatin affects every process that occurs on DNA. The positioning of nucleosomes on underlying DNA plays a key role in the regulation of these processes, as the nucleosome occludes underlying DNA sequences. Here, we review the literature on mapping nucleosome positions in various organisms, and discuss how nucleosome positions are established, what effect nucleosome positioning has on control of gene expression, and touch on the correlations between chromatin packaging, sequence evolution, and the evolution of gene expression programs.     

How important is it to consider lineage diversification heterogeneity in macroevolutionary studies? Lessons from the lizard family Liolaemidae

Macroevolutionary and biogeographical studies commonly apply multiple models to test state-dependent diversification. These models track the association between states of interest along a phylogeny, although many of them do not consider whether different clades might be evolving under different evolutionary drivers. Yet, they are still commonly applied to empirical studies without careful consideration of possible lineage diversification heterogeneity along the phylogenetic tree. A recent biogeographic study has suggested that orogenic uplift of the southern Andes has acted as a species pump, driving diversification of the lizard family Liolaemidae (307 described species), native to temperate southern South America. Here, we argue against the Andean uplift as main driver of evolution in this group. We show that there is a clear pattern of heterogeneous diversification in the Liolaemidae, which biases state- and environment-dependent analyses in, respectively, the GeoSSE and RPANDA programs. We show here that there are two shifts to accelerated speciation rates involving two clades that have both been classified as having “Andean” distributions. We incorporated the Geographic Hidden-State Speciation and Extinction model (GeoHiSSE) to accommodate unrelated diversification shifts, and also re-analyzed the data in RPANDA program after splitting biologically distinct clades for separate analyses, as well as including a more appropriate set of models. We demonstrate that the “Andean uplift” hypothesis is not supported when the heterogeneous diversification histories among these lizards is considered. We use the Liolaemidae as an ideal system to demonstrate potential risks of ignoring clade-specific differences in diversification patterns in macroevolutionary studies. We also implemented simulations to show that, in agreement with previous findings, the HiSSE approach can effectively and substantially reduce the level of distribution-dependent models receiving the highest AIC weights in such scenarios. However, we still find a relatively high rate (15%) of distribution-dependent models receiving the highest AIC weights, and provide recommendations related to the set of models included in the analyses that reduce these rates by half. Finally, we demonstrate that trees including clades following different dependent-drivers affect RPANDA analyses by producing different outcomes, ranging from partially correct models to completely misleading results. We provide recommendations for the implementation of both programs.     

How local is the local field potential?

Local field potentials (LFPs) are of growing importance in neurophysiological investigations. LFPs supplement action potential recordings by indexing activity relevant to EEG, magnetoencephalographic, and hemodynamic (fMRI) signals. Recent reports suggest that LFPs reflect activity within very small domains of several hundred micrometers. We examined this conclusion by comparing LFP, current source density (CSD), and multiunit activity (MUA) signals in macaque auditory cortex. Estimated by frequency tuning bandwidths, these signals' "listening areas" differ systematically with an order of MUA?< CSD?< LFP. Computational analyses confirm that observed LFPs receive local contributions. Direct measurements indicate passive spread of LFPs to sites more than a centimeter from their origins. These findings appear to be independent of the frequency content of the LFP. Our results challenge the idea that LFP recordings typically integrate over extremely circumscribed local domains. Rather, LFPs appear as a mixture of local potentials with "volume conducted" potentials from distant sites.     

What is a schizophrenic mouse?

In this issue of Neuron, Clapcote et al. examine mice containing missense mutations of the DISC1 gene, a locus associated with major mental illness in at least one large Scottish family. Genetic manipulation of mouse homologs of genes implicated in the etiology of psychiatric disorders is a promising avenue of research, but also one that is fraught with interpretative difficulties.     

How costly is the honest signaling of need?

ESS models of biological signaling have shown that costly signals can provide honest information. In the context of parent-offspring conflict over the allocation of resources by parents to their young, the theory explains costly offspring solicitation behavior as an accurate signal of offspring need to parents who cannot assess offspring condition directly. In this paper, we provide a simple but general characterization of the honest signaling of need in models of parent-offspring conflict: the offspring's signaling cost is proportional to the parent's fitness loss from satisfying the offspring's resource requirement. The factor of proportionality is given by a measure of the extent of parent-offspring conflict that depends only on coefficients of relatedness. These results hold for interbrood conflict with uniparental investment even if the relationship between offspring condition and resource requirement is not monotonic, and extend to cases of biparental care, uncertainty concerning the parent's condition, and intra-brood conflict. Copyright 1999 Academic Press.