A fair fight between molecular marker types in a seascape genetics setting

From its inception, population genetics has been nearly as concerned with the genetic data type—to which analyses are brought to bear—as it is with the analysis methods themselves. The field has traversed allozymes, microsatellites, segregating sites in multilocus alignments and, currently, single nucleotide polymorphisms (SNPs) generated by high‐throughput genomic sequencing methods, primarily whole genome sequencing and reduced representation library (RRL) sequencing. As each emerging data type has gained traction, it has been compared to existing methods, based on its relative ability to discern population structural complexity at increasing levels of resolution. However, this is usually done by comparing the gold standard in one data type to the gold standard in the new data type. These gold standards frequently differ in power and in sampling density, both across a genome and throughout a spatial range. In this issue of Molecular Ecology, D’Aloia et al. apply the high‐throughput approach as fully as possible to microsatellites, nuclear loci and SNPs genotyped through an RRL method; this is coupled with a spatially dense sampling scheme. Completing a battery of population genetics analyses across data types (including a series of down‐sampled data sets), the authors find that SNP data are slightly more sensitive to fine‐scale genetic structure, and the results are more resilient to down‐sampling than microsatellites and nonrepetitive nuclear loci. However, their results are far from an unqualified victory for RRL SNP data over all previous data types: the authors note that modest additions to the microsatellites and nuclear loci data sets may provide the necessary analytical power to delineate the fine‐scale genetic structuring identified by SNPs. As always, as the field begins to fully embrace the newest thing, good science reminds us that traditional data types are far from useless, especially when combined with a well‐designed sampling scheme.     

Integrative omics - from data to biology

Introduction: Multi-omic approaches are promising a broader view on cellular processes and a deeper understanding of biological systems. with strongly improved high-throughput methods the amounts of data generated have become huge, and their handling challenging.

Area Covered: New bioinformatic tools and pipelines for the integration of data from different omics disciplines continue to emerge, and will support scientists to reliably interpret data in the context of biological processes. comprehensive data integration strategies will fundamentally improve systems biology and systems medicine. to present recent developments of integrative omics, the göttingen proteomics forum (gpf) organized its 6th symposium on the 23rd of november 2017, as part of a series of regular gpf symposia. more than 140 scientists attended the event that highlighted the challenges and opportunities but also the caveats of integrating data from different omics disciplines.

Expert commentary: The continuous exponential growth in omics data require similar development in software solutions for handling this challenge. Integrative omics tools offer the chance to handle this challenge but profound investigations and coordinated efforts are required to boost this field.     

The canid genome: behavioral geneticists' best friend?

We review a range of studies on the genetic contribution to behavior in canid species. We begin by identifying factors that make canids a promising model in behavioral genetics and proceed to review research over the last decade that has used canids to identify genetic contributions to behavior. We first review studies that have selectively bred dogs to identify genetic contributions to behavior and then review studies that estimate heritability from populations of non‐laboratory bred dogs. We subsequently review studies that used molecular genetics to identify gene–behavior associations and note associations that have been uncovered. We then note challenges in canid behavioral genetics research that require further consideration. We finish by suggesting alternative phenotyping methods and identify areas in which canids may have as yet unexploited advantages, such as in gene–environment interaction studies where genetic factors are found to moderate the effects of environmental variables.     

The European sea bass: a key marine fish model in the wild and in aquaculture

The European sea bass (Dicentrarchus labrax L.) is a marine fish of key economic and cultural importance in Europe. It is now more an aquaculture than a fisheries species (>96% of the production in 2016), although modern rearing techniques date back only from the late 1980s. It also has high interest for evolutionary studies, as it is composed of two semispecies (Atlantic and Mediterranean lineages) that have come into secondary contact following the last glaciation. Based on quantitative genetics studies of most traits of interest over the past 10–15 years, selective breeding programs are now applied to this species, which is at the beginning of its domestication process. The availability of a good quality reference genome has accelerated the development of new genomic resources, including SNP arrays that will enable genomic selection to improve genetic gain. There is a need to improve feed efficiency, both for economic and environmental reasons, but this will require novel phenotyping approaches. Further developments will likely focus on the understanding of genotype‐by‐environment interactions, which will be important both for efficient breeding of farmed stocks and for improving knowledge of the evolution of natural populations. At the interface between both, the domestication process must be better understood to improve production and also to fully evaluate the possible impact of aquaculture escapees on wild populations. The latter is an important question for all large‐scale aquaculture productions.     

Digging up the canine genome--a tale to wag about

There is incredible morphological and behavioral diversity among the hundreds of breeds of the domestic dog, CANIS FAMILIARIS. Many of these breeds have come into existence within the last few hundred years. While there are obvious phenotypic differences among breeds, there is marked interbreed genetic homogeneity. Thus, study of canine genetics and genomics is of importance to comparative genomics, evolutionary biology and study of human hereditary diseases. The most recent version of the map of the canine genome is comprised of 3,270 markers mapped to 3,021 unique positions with an average intermarker distance of approximately 1 Mb. The markers include approximately 1,600 microsatellite markers, about 1,000 gene-based markers, and almost 700 bacterial artificial chromosome-end markers. Importantly, integration of radiation hybrid and linkage maps has greatly enhanced the utility of the map. Additionally, mapping the genome has led directly to characterization of microsatellite markers ideal for whole genome linkage scans. Thus, workers are now able to exploit the canine genome for a wide variety of genetic studies. Finally, the decision to sequence the canine genome highlights the dog's evolutionary and physiologic position between the mouse and human and its importance as a model for study of mammalian genetics and human hereditary diseases.     

Brazilian genetic database of chromosome X

The X chromosome is a singular source of information in population genetics, anthropological research and in forensic cases. Thus, many researchers have been interested in characterizing X chromosome markers in different populations. The Brazilian Genetic Database of Chromosome X (BGBX—Banco Genético Brasileiro do Cromossomo X) website is freely available in Portuguese and English versions and was developed with the main purpose of compiling all Brazilian population genetic data for X chromosome short tandem repeats (X-STRs) markers published in scientific journals searchable via PubMed. Furthermore, this database presents other relevant information concerning X-STRs, such as genetic and physical locations, allele structure, nomenclature, mutation rates, primers described in the literature and likelihood ratio calculation. The entire scientific community is now encouraged to submit their X-STR population genetic data to this website, available at http://www.bgbx.com.br. Regarding future prospects of BGBX, the authors intend to expand the website with data and information of X-linked insertion–deletion polymorphisms.     

The small protein floodgates are opening; now the functional analysis begins

Aside from a few serendipitous discoveries, small proteins of less than 50 amino acids in bacteria and 100 amino acids in eukaryotes were largely ignored due to challenges in their genetic and biochemical detection. However, with the ever-increasing availability of completed genome sequences and deep sequencing, which allows analysis of genome-wide ribosome occupancy, hundreds of small proteins are now being identified. This brings to the forefront the challenges and opportunities associated with the characterization of these proteins.See research article: http://www.biomedcentral.com/1471-2164/15/946.     

Population genomics and the causes of local differentiation

Exactly 50 years ago, a revolution in empirical population genetics began with the introduction of methods for detecting allelic variation using protein electrophoresis (Throckmorton 1962; Hubby 1963; Lewontin & Hubby 1966). These pioneering scientists showed that populations are chock‐full of genetic variation. This variation was a surprise that required a re‐thinking of evolutionary genetic heuristics. Understanding the causes for the maintenance of this variation became and remains a major area of research. In the process of addressing the causes, this same group of scientists documented geographical genetic structure (Prakash et al. 1969), spawning the continued accumulation of what is now a huge case study catalogue of geographical differentiation (e.g. Loveless & Hamrick 1984; Linhart & Grant 1996). Geographical differentiation is clearly quite common. Yet, a truly general understanding of the patterns in and causes of spatial genetic structure across the genome remains elusive. To what extent is spatial structure driven by drift and phylogeography vs. geographical differences in environmental sources of selection? What proportion of the genome participates? A general understanding requires range‐wide data on spatial patterning of variation across the entire genome. In this issue of Molecular Ecology, Lasky et al. (2012) make important strides towards addressing these issues, taking advantage of three contemporary revolutions in evolutionary biology. Two are technological: high‐throughput sequencing and burgeoning computational power. One is cultural: open access to data from the community of scientists and especially data sets that result from large collaborative efforts. Together, these developments may at last put answers within reach.     

Connecting genotypes,phenotypes and fitness: harnessing the power of CRISPR/Cas9 genome editing

One of the fundamental goals in evolution and ecology is to identify the genetic basis of adaptive phenotypes. Unfortunately, progress towards this goal has been hampered by a lack of genetic tools available for nonmodel organisms. The exciting new development of the CRISPR (clustered regularly interspaced short palindromic repeat)/Cas9 (CRISPR‐associated nuclease 9) genome‐editing system now promises to transform the field of molecular ecology by providing a versatile toolkit for manipulating the genome of a wide variety of organisms. Here, we review the numerous applications of this groundbreaking technology and provide a practical guide to the creation of genetic knockouts, transgenics and other related forms of gene manipulation in nonmodel organisms. We also specifically discuss the potential uses of the CRISPR/Cas9 system in ecological and evolutionary studies, which will further advance the field towards the long‐standing goal of connecting genotypes, phenotypes and fitness.     

Transposon tagging in maize

Through recent government- and industry-sponsored efforts, several forward and reverse genetic screening programs have emerged over the past few years to aid in the genetic dissection of gene function in maize. Despite a US maize crop valued at $18.4 billion last year (http://www.ncga.com/03world/main/US_crop_value_2000.html) and rich genetic history, maize has taken a back seat to Arabidopsis thaliana as the model genetic system for plants over the past decade. With a fully sequenced genome, short generation time and small size, studies of Arabidopsis have provided plant scientists with a molecular framework for hormonal, developmental and environmental signaling pathways in plants. As investigations into Arabidopsis continue, our capacity to engineer biochemical pathways and alter plant physiological responses will become increasingly sophisticated. Nevertheless, approximately 130 million years have passed since monocot and higher eudicot lineages diverged. Thus, our ability to engineer agronomically important monocot grasses such as maize, rice and wheat will become increasingly limited by our lack of understanding of the physiological and morphological differences that have evolved in the monocots and higher eudicots. The sophisticated transposon collections now being generated for maize are but one of several recent projects (http://www.nsf.gov/bio/pubs/awards/genome01.htm) to provide grass researchers with essential tools for genome analysis. Because grain crops are such a closely related group, it is hoped that many of the findings made in one grass will be directly applicable to understanding the biology of another. The goal of this review is to highlight the recent developments in maize transposon-based gene characterization programs and provide a critical examination of the advantages and disadvantages each system offers. Electronic Publication     

Post‐GWAS in Psychiatric Genetics: A Developmental Perspective on the “Other” Next Steps

As psychiatric genetics enters an era where gene identification is finally yielding robust, replicable genetic associations and polygenic risk scores, it is important to consider next steps and delineate how that knowledge will be applied to ultimately ameliorate suffering associated with substance use and psychiatric disorders. Much of the post‐genome‐wide association study discussion has focused on the potential of genetic information to elucidate the underlying biology and use this information for the development of more effective pharmaceutical treatments. In this review we focus on additional areas of research that should follow gene identification. By taking genetic findings into longitudinal, developmental studies, we can map the pathways by which genetic risk manifests across development, elucidating the early behavioral manifestations of risk, and studying how various environments and interventions moderate that risk across developmental stages. The delineation of risk across development will advance our understanding of mechanism, sex differences and risk and resilience processes in different racial/ethnic groups. Here, we review how the extant twin study literature can be used to guide these efforts. Together, these new lines of research will enable us to develop more informed, tailored prevention and intervention efforts.     

Genetic profiling of the critically endangered palm species Medemia argun using newly developed chloroplast DNA markers

Background: Medemia argun is a rare wild palm tree species. Its global existence is assumed to include the main population of about 1000 trees in the Nubian Desert of Sudan and some scattered individuals in southern Egypt. The species had previously been assumed to be extinct, but then reported to be extant about 20 years ago.

Aims: To assess genetic variation and explore population genetic structure of M. argun, through development and analysis of microsatellite markers.

Methods: The genome sequence mining approach was applied in order to identify microsatellites in the chloroplast genome of Bismarckia nobilis, a species closely related of M. argun. A set of 49 markers were designed, and their characteristics are now provided. Seven chloroplast DNA markers were developed for use in the genetic characterisation of this threatened species.

Results: Five markers were found polymorphic in M. argun, which enabled the assessment of the genetic diversity of the species. Significant genetic differentiation was observed among generations and collection sites, accompanied by low genetic variation. The seven markers developed were polymorphic among the wild relatives Hyphaene thebaica and Borassus aethiopum.

Conclusions: This is the first study to report molecular markers for M. argun. Our results suggest that the genetic consequences of population fragmentation in M. argun are beginning to be evident.     

The essence of SNPs.

Single nucleotide polymorphisms (SNPs) are an abundant form of genome variation, distinguished from rare variations by a requirement for the least abundant allele to have a frequency of 1% or more. A wide range of genetics disciplines stand to benefit greatly from the study and use of SNPs. The recent surge of interest in SNPs stems from, and continues to depend upon, the merging and coincident maturation of several research areas, i.e. (i) large-scale genome analysis and related technologies, (ii) bio-informatics and computing, (iii) genetic analysis of simple and complex disease states, and (iv) global human population genetics. These fields will now be propelled forward, often into uncharted territories, by ongoing discovery efforts that promise to yield hundreds of thousands of human SNPs in the next few years. Major questions are now being asked, experimentally, theoretically and ethically, about the most effective ways to unlock the full potential of the upcoming SNP revolution.     

A QTL on chromosome 3q23 influences processing speed in humans

Processing speed is a psychological construct that refers to the speed with which an individual can perform any cognitive operation. Processing speed correlates strongly with general cognitive ability, declines sharply with age and is impaired across a number of neurological and psychiatric disorders. Thus, identifying genes that influence processing speed will likely improve understanding of the genetics of intelligence, biological aging and the etiologies of numerous disorders. Previous genetics studies of processing speed have relied on simple phenotypes (eg, mean reaction time) derived from single tasks. This strategy assumes, erroneously, that processing speed is a unitary construct. In the present study, we aimed to characterize the genetic architecture of processing speed by using a multidimensional model applied to a battery of cognitive tasks. Linkage and QTL‐specific association analyses were performed on the factors from this model. The randomly ascertained sample comprised 1291 Mexican‐American individuals from extended pedigrees. We found that performance on all three distinct processing‐speed factors (Psychomotor Speed; Sequencing and Shifting and Verbal Fluency) were moderately and significantly heritable. We identified a genome‐wide significant quantitative trait locus (QTL) on chromosome 3q23 for Psychomotor Speed (LOD = 4.83). Within this locus, we identified a plausible and interesting candidate gene for Psychomotor Speed (Z = 2.90, P = 1.86 × 10^?03).     

DomeTree: a canonical toolkit for mitochondrial DNA analyses in domesticated animals

Mitochondrial DNA (mtDNA) is widely used in various genetic studies of domesticated animals. Many applications require comprehensive knowledge about the phylogeny of mtDNA variants. Herein, we provide the most up‐to‐date mtDNA phylogeny (i.e. haplogroup tree or matrilineal genealogy) and a standardized hierarchical haplogroup nomenclature system for domesticated cattle, dogs, goats, horses, pigs, sheep, yaks and chickens. These high‐resolution mtDNA haplogroup trees based on 1240 complete or near‐complete mtDNA genome sequences are available in open resource DomeTree ( http://www.dometree.org ). In addition, we offer the software MitoToolPy ( http://www.mitotool.org/mp.html ) to facilitate the mtDNA data analyses. We will continuously and regularly update DomeTree and MitoToolPy.