Pattern,prediction and parsimony in continental‐scale synthesis of pyromes: a reply to Gosper et al.

We (Murphy et al., 2013; Clarke et al., 2015) have recently developed a framework to understand the spatial distribution of fire regimes and plant fire‐response traits at large spatial scales. We integrated a range of data sources to create a continental‐scale overview of Australian pyromes from which to infer pyrogeographic drivers. Gosper et al. (in press) have criticized our approach, based on our misclassification of a vegetation type (eucalypt woodland), with distinct fire regime, in the Coolgardie bioregion of Western Australia. We argue that the intention of our integrative approach was to develop and refine conceptual models of Australian pyrogeography, not to produce a predictive map of fire regimes, and certainly not to guide local‐scale fire management. Like all models, continental‐scale syntheses of pyromes are imperfect, yet they still represent powerful tools for understanding the drivers of the spatial distribution of fire regimes.     

The predicament of the African wild dog,Lycaon pictus,is less precarious than claimed

In a paper published fifteen years ago, Gorman et al. (Nature 391 , 479–481) made precise claims about how sensitive the African wild dog is to kleptoparasitism by spotted hyaenas Crocuta crocuta and lions Panthera leo. These claims are regularly referred to in the literature, and so far, they have remained unchallenged. However, careful perusal of their paper and analysis of the available data on energy intake and expenditure by wild dogs show that their claims are unfounded. Contrary to Gorman et al., wild dogs can usually take loss of food by kleptoparasitism in their stride. We present the calculations of the energy budget of wild dogs that remain implicit in the paper by Gorman et al.     

Will reduced host connectivity curb the spread of a devastating epidemic?

The white‐nose syndrome (WNS), caused by the fungal pathogen Pseudogymnoascus destructans, is threatening the cave‐dwelling bat fauna of North America by killing individuals by the thousands in hibernacula each winter since its appearance in New York State less than ten years ago. Epidemiological models predict that WNS will reach the western coast of the USA by 2035, potentially eliminating most populations of susceptible bat species in its path (Frick et al. 2015; O'Regan et al. 2015). These models were built and validated using distributional data from the early years of the epidemic, which spread throughout eastern North America following a route driven by cave density and winter severity (Maher et al. 2012). In this issue of Molecular Ecology, Wilder et al. (2015) refine these findings by showing that connectivity among host populations, as assessed by population genetic markers, is crucial in determining the spread of the pathogen. Because host connectivity is much reduced in the hitherto disease free western half of North America, Wilder et al. make the reassuring prediction that the disease will spread more slowly west of the Great Plains.     

It's a family act: the geminin triplets take center stage in motile ciliogenesis

The balance between proliferation and differentiation is a fundamental aspect of multicellular life. Perhaps nowhere is this delicate balance more palpable than in the multiciliated cells (MCCs) that line the respiratory tract, the ependyma, and the oviduct. These cells contain dozens to hundreds of motile cilia that beat in a concerted fashion to generate directed fluid flow over the tissue surface. Although MCCs have exited the cell cycle, remarkably, they retain the ability to duplicate their centrioles and to mature those centrioles into ciliary basal bodies—two features, which are known to be normally under strict cell cycle control (Firat‐Karalar & Stearns, 2014 ). How post‐mitotic MCCs retain this ability, remains unclear. In the past several months, four research articles, including one from Terré et al in this issue of The EMBO Journal, have described a vital role for the geminin coiled‐coil domain‐containing protein (Gemc1) in the MCC gene expression program in multiple tissues and organisms, that bring us closer to understanding this question (Kyrousi et al, 2015 ; Zhou et al, 2015 ; Arbi et al, 2016 ; Terré et al, 2016 ).     

Everything old is new again: (linc)RNAs make proteins!

Long non‐coding RNAs have become the focus of considerable interest over the past few years. Intriguing novel functions have been reported for lincRNAs. Three recent papers identify lincRNAs that work in a more conventional way—encoding protein—in each case a small polypeptide with an interesting biological activity (Magny et al, 2013 ; Pauli et al, 2014 ), (Bazzini et al, 2014 ).     

Enalikter is not an annelid: homology,autapomorphies and the interpretation of problematic fossils

A megacheiran arthropod, Enalikter aphson, was recently described by Siveter et al. (2014) from the mid‐Silurian (late Wenlock) of Herefordshire. Previously, megacheirans had only been recognized from the Cambrian. Struck et al. (2015) considered the body plan of Enalikter to be incompatible with this affinity, arguing that many of the arthropod features were either not present or misinterpreted. Instead, they compared Enalikter to polychaete annelids, identifying characters from numerous polychaete lineages which they considered to be present in Enalikter. A reply to this critique by Siveter et al. (2015) reaffirmed arthropod affinities for Enalikter by presenting additional evidence for key arthropod features, such as arthropodized appendages. Here, we augment Siveter et al. by critically addressing the putative annelid characters of Enalikter presented by Struck et al. and additionally explore the morphological and phylogenetic implications of their hypothesis. We conclude that similarities between Enalikter and polychaetes are superficial and that character combinations proposed by Struck et al. are not present in any annelid, living or extinct. This taxon highlights the importance of using a phylogenetic framework for interpreting fossils that present unusual morphologies, such that proposed shared characters are hypotheses of homology rather than merely phenotypic similarities. Crucially, we argue that autapomorphic characters of subgroups of large taxa (like families or classes within phyla) should not be used to diagnose problematic fossils.     

Bacteriophage exclusion,a new defense system

The ability to withstand viral predation is critical for survival of most microbes. Accordingly, a plethora of phage resistance systems has been identified in bacterial genomes (Labrie et al, 2010 ), including restriction‐modification systems (R‐M) (Tock & Dryden, 2005 ), abortive infection (Abi) (Chopin et al, 2005 ), Argonaute‐based interference (Swarts et al, 2014 ), as well as clustered regularly interspaced short palindromic repeats (CRISPR) and associated protein (Cas) adaptive immune system (CRISPR‐Cas) (Barrangou & Marraffini, 2014 ; Van der Oost et al, 2014 ). Predictably, the dark matter of bacterial genomes contains a wealth of genetic gold. A study published in this issue of The EMBO Journal by Goldfarb et al ( 2015 ) unveils bacteriophage exclusion (BREX) as a novel, widespread bacteriophage resistance system that provides innate immunity against virulent and temperate phage in bacteria.     

Standing and flowing: the complex origins of adaptive variation

A population faced with a new selection pressure can only adapt if appropriate genetic variation is available. This genetic variation might come from new mutations or from gene exchange with other populations or species, or it might already segregate in the population as standing genetic variation (which might itself have arisen from either mutation or gene flow). Understanding the relative importance of these sources of adaptive variation is a fundamental issue in evolutionary genetics (Orr & Betancourt 2001 ; Barrett & Schluter 2008 ; Gladyshev et al. 2008 ) and has practical implications for conservation, plant and animal breeding, biological control and infectious disease prevention (e.g. Robertson 1960 ; Soulé & Wilcox 1980 ; Prentis et al. 2008 ; Pennings 2012 ). In this issue of Molecular Ecology, Roesti et al. ( 2014 ) make an important contribution to this longstanding debate.     

How do we make indoor environments and healthcare settings healthier?

It is now well accepted that our modern lifestyle has certain implications for our health (Schaub et al., 2006 ), mainly as a result of our willingness to remove ourselves from the biological diversity of our natural environments (Roduit et al., 2016 ), while still being drawn inextricably to interact with it (Kellert and Wilson, 1995 ). Much of our interaction with the biological world is shaped by our interaction with the microbiological world. The bacteria, fungi, viruses, archaea and protists that comprise the microbiome of this planet, are also key to the development and normal functioning of our bodies. Our immune system is built to shepherd our microbial exposure, ensuring that microbial organisms that we need are kept close (but not too close), and that less‐desirable organisms are expelled or killed before they can do too much damage. By moving from a life interacting with nature on a regular basis, to a life in which we isolate ourselves physically from natural microbial exposure, we may have instigated one of the great plagues of the 21st century; chronic immune disorders.     

Prmt5: a guardian of the germline protects future generations

Primordial germ cells (PGCs) are the embryonic precursors of the germ cell lineage that form sperm and egg cells. It is of great importance to preserve the germline from DNA damage and potentially from epimutations in order to ensure the survival of future generations. Recent research highlights the role of the protein arginine methyltransferase 5 (PRMT5) as an important player in DNA protection during germline development in the mouse (Kim et al, 2014 & Li et al, 2015 ).     

Coalescing molecular evolution and DNA barcoding

The DNA barcoding concept (Woese et al. 1990 ; Hebert et al. 2003 ) has considerably boosted taxonomy research by facilitating the identification of specimens and discovery of new species. Used alone or in combination with DNA metabarcoding on environmental samples (Taberlet et al. 2012 ), the approach is becoming a standard for basic and applied research in ecology, evolution and conservation across taxa, communities and ecosystems (Scheffers et al. 2012 ; Kress et al. 2015 ). However, DNA barcoding suffers from several shortcomings that still remain overlooked, especially when it comes to species delineation (Collins & Cruickshank 2012 ). In this issue of Molecular Ecology, Barley & Thomson ( 2016 ) demonstrate that the choice of models of sequence evolution has substantial impacts on inferred genetic distances, with a propensity of the widely used Kimura 2‐parameter model to lead to underestimated species richness. While DNA barcoding has been and will continue to be a powerful tool for specimen identification and preliminary taxonomic sorting, this work calls for a systematic assessment of substitution models fit on barcoding data used for species delineation and reopens the debate on the limitation of this approach.     

Ready,Set…Poised!: Polycomb target genes are bound by poised RNA polymerase II throughout differentiation

In embryonic stem cells (ESCs), silent genes with major developmental functions display a unique epigenetic state in which strong and broad binding by Polycomb repressive complexes (PRCs) is accompanied by the presence of poised RNA polymerase II (RNAPII) and activating histone marks (e.g. H3K4me3) (Azuara et al, 2006 ; Bernstein et al, 2006 ; Stock et al, 2007 ; Brookes et al, 2012 ). It has been suggested that the plasticity and broad differentiation potential of pluripotent cells might rely, at least partly, on this unique epigenetic state (Bernstein et al, 2006 ; Stock et al, 2007 ). In their recent study, Pombo and colleagues (Ferrai et al, 2017 ) show that a similar epigenetic state can be found at a subset of major developmental genes throughout the differentiation of ESCs into neurons, providing novel and exciting insights into the molecular basis of cellular plasticity in differentiated cells.     

A new multivariate zero‐adjusted Poisson model with applications to biomedicine

Recently, although advances were made on modeling multivariate count data, existing models really has several limitations: (i) The multivariate Poisson log‐normal model (Aitchison and Ho, 1989) cannot be used to fit multivariate count data with excess zero‐vectors; (ii) The multivariate zero‐inflated Poisson (ZIP) distribution (Li et al., 1999) cannot be used to model zero‐truncated/deflated count data and it is difficult to apply to high‐dimensional cases; (iii) The Type I multivariate zero‐adjusted Poisson (ZAP) distribution (Tian et al., 2017) could only model multivariate count data with a special correlation structure for random components that are all positive or negative. In this paper, we first introduce a new multivariate ZAP distribution, based on a multivariate Poisson distribution, which allows the correlations between components with a more flexible dependency structure, that is some of the correlation coefficients could be positive while others could be negative. We then develop its important distributional properties, and provide efficient statistical inference methods for multivariate ZAP model with or without covariates. Two real data examples in biomedicine are used to illustrate the proposed methods.     

Plankton dynamics under different climate conditions in tropical freshwater systems (a reply to the comment by Sarmento,Amado & Descy, )

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Homomorphic plant sex chromosomes are coming of age

Sex chromosomes are a very peculiar part of the genome that have evolved independently in many groups of animals and plants (Bull 1983 ). Major research efforts have so far been focused on large heteromorphic sex chromosomes in a few animal and plant species (Chibalina & Filatov 2011 ; Zhou & Bachtrog 2012 ; Bellott et al. 2014 ; Hough et al. 2014 ; Zhou et al. 2014 ), while homomorphic (cytologically indistinguishable) sex chromosomes have largely been neglected. However, this situation is starting to change. In this issue, Geraldes et al. ( 2015 ) describe a small (~100 kb long) sex‐determining region on the homomorphic sex chromosomes of poplars (Populus trichocarpa and related species, Fig.  1 ). All species in Populus and its sister genus Salix are dioecious, suggesting that dioecy and the sex chromosomes, if any, should be relatively old. Contrary to this expectation, Geraldes et al. ( 2015 ) demonstrate that the sex‐determining region in poplars is of very recent origin and probably evolved within the genus Populus only a few million years ago.     

Bayesian parentage analysis reliably controls the number of false assignments in natural populations

Parentage analysis in natural populations is a powerful tool for addressing a wide range of ecological and evolutionary questions. However, identifying parent–offspring pairs in samples collected from natural populations is often more challenging than simply resolving the Mendelian pattern of shared alleles. For example, large numbers of pairwise comparisons and limited numbers of genetic markers can contribute to incorrect assignments, whereby unrelated individuals are falsely identified as parent–offspring pairs. Determining which parentage methods are the least susceptible to making false assignments is an important challenge facing molecular ecologists. In a recent paper, Harrison et al. (2013a) address this challenge by comparing three commonly used parentage methods, including a Bayesian approach, in order to explore the effects of varied proportions of sampled parents on the accuracy of parentage assignments. Unfortunately, Harrison et al. made a simple error in using the Bayesian approach, which led them to incorrectly conclude that this method could not control the rate of false assignment. Here, I briefly outline the basic principles behind the Bayesian approach, identify the error made by Harrison et al., and provide detailed guidelines as to how the method should be correctly applied. Furthermore, using the exact data from Harrison et al., I show that the Bayesian approach actually provides greater control over the number of false assignments than either of the other tested methods. Lastly, I conclude with a brief introduction to solomon , a recently updated version of the Bayesian approach that can account for genotyping error, missing data and false matching.     

Next‐generation sequencing for molecular ecology: a caveat regarding pooled samples

We develop a model based on the Dirichlet‐compound multinomial distribution (CMD) and Ewens sampling formula to predict the fraction of SNP loci that will appear fixed for alternate alleles between two pooled samples drawn from the same underlying population. We apply this model to next‐generation sequencing (NGS) data from Baltic Sea herring recently published by (Corander et al., 2013 , Molecular Ecology, 2931 –2940), and show that there are many more fixed loci than expected in the absence of genetic structure. However, we show through coalescent simulations that the degree of population structure required to explain the fraction of alternatively fixed SNPs is extraordinarily high and that the surplus of fixed loci is more likely a consequence of limited representation of individual gene copies in the pooled samples, than it is of population structure. Our analysis signals that the use of NGS on pooled samples to identify divergent SNPs warrants caution. With pooled samples, it is hard to diagnose when an NGS experiment has gone awry; especially when NGS data on pooled samples are of low read depth with a limited number of individuals, it may be worthwhile to temper claims of unexpected population differentiation from pooled samples, pending verification with more reliable methods or stricter adherence to recommended sampling designs for pooled sequencing e.g. Futschik & Schlötterer 2010 , Genetics, 186 , 207; Gautier et al., 2013a , Molecular Ecology, 3766 –3779). Analysis of the data and diagnosis of problems is easier and more reliable (and can be less costly) with individually barcoded samples. Consequently, for some scenarios, individual barcoding may be preferable to pooling of samples.