Increased Apolipoprotein D (ApoD) expression has been reported in various neurological disorders, including Alzheimer's disease, schizophrenia, and stroke, and in the aging brain . However, whether ApoD is toxic or a defense is unknown. In a screen to identify genes that protect Drosophila against acute oxidative stress, we isolated a fly homolog of ApoD, Glial Lazarillo (GLaz). In independent transgenic lines, overexpression of GLaz resulted in increased resistance to hyperoxia (100% O(2)) as well as a 29% extension of lifespan under normoxia. These flies also displayed marked improvements in climbing and walking ability after sublethal exposure to hyperoxia. Overexpression of Glaz also increased resistance to starvation without altering lipid or protein content. To determine whether GLaz might be important in protection against reperfusion injury, we subjected the flies to hypoxia, followed by recovery under normoxia. Overexpression of GLaz was protective against behavioral deficits caused in normal flies by this ischemia/reperfusion paradigm. This and the accompanying paper by Sanchez et al. (in this issue of Current Biology) are the first to manipulate the levels of an ApoD homolog in a model organism. Our data suggest that human ApoD may play a protective role and thus may constitute a therapeutic target to counteract certain neurological diseases.

Methods for determining patterns of migratory connectivity in animal ecology have historically been limited due to logistical challenges. Recent progress in studying migratory bird connectivity has been made using genetic and stable-isotope markers to assign migratory individuals to their breeding grounds. Here, we present a novel Bayesian approach to jointly leverage genetic and isotopic markers and we test its utility on two migratory passerine bird species. Our approach represents a principled model-based combination of genetic and isotope data from samples collected on the breeding grounds and is able to achieve levels of assignment accuracy that exceed those of either method alone. When applied at large scale the method can reveal specific migratory connectivity patterns. In Wilson's warblers (Wilsonia pusilla), we detect a subgroup of birds wintering in Baja that uniquely migrate preferentially from the coastal Pacific Northwest. Our approach is implemented in a way that is easily extended to accommodate additional sources of information (e.g. bi-allelic markers, species distribution models, etc.) or adapted to other species or assignment problems.

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A version control system records changes to a file or set of files over time so that changes can be tracked and specific versions of a file can be recalled later. As such, it is an essential element of a reproducible workflow that deserves due consideration among the learning objectives of statistics courses. This paper describes experiences and implementation decisions of four contributing faculty who are teaching different courses at a variety of institutions. Each of these faculty have set version control as a learning objective and successfully integrated one such system (Git) into one or more statistics courses. The various approaches described in the paper span different implementation strategies to suit student background, course type, software choices, and assessment practices. By presenting a wide A c c e p t e d M a n u s c r i p t range of approaches to teaching Git, the paper aims to serve as a resource for statistics and data science instructors teaching courses at any level within an undergraduate or graduate curriculum.