Molecular Ecology Resources

Publisher: Wiley

Current impact factor: 3.71

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2014 / 2015 Impact Factor 3.712
2013 Impact Factor 5.626
2012 Impact Factor 7.432
2011 Impact Factor 3.062
2010 Impact Factor 1.631
2009 Impact Factor 1.251
2008 Impact Factor 0

Impact factor over time

Impact factor

Additional details

5-year impact 4.99
Cited half-life 4.50
Immediacy index 1.63
Eigenfactor 0.03
Article influence 1.65
Other titles Molecular ecology resources (Online)
ISSN 1755-0998
OCLC 190864867
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details


  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author cannot archive a post-print version
  • Restrictions
    • 12 months embargo
  • Conditions
    • Some journals have separate policies, please check with each journal directly
    • On author's personal website, institutional repositories, arXiv, AgEcon, PhilPapers, PubMed Central, RePEc or Social Science Research Network
    • Author's pre-print may not be updated with Publisher's Version/PDF
    • Author's pre-print must acknowledge acceptance for publication
    • Non-Commercial
    • Publisher's version/PDF cannot be used
    • Publisher source must be acknowledged with citation
    • Must link to publisher version with set statement (see policy)
    • If OnlineOpen is available, BBSRC, EPSRC, MRC, NERC and STFC authors, may self-archive after 12 months
    • If OnlineOpen is available, AHRC and ESRC authors, may self-archive after 24 months
    • Publisher last contacted on 07/08/2014
    • This policy is an exception to the default policies of 'Wiley'
  • Classification

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Here, we present an improved amplified fragment length polymorphism (AFLP) protocol using restriction enzymes (AscI and SbfI) that recognise 8-base pair sequences to provide alternative optimisation suitable for species with a genome size over 70 Gb. This cost-effective optimisation massively reduces the number of amplified fragments by using only +3 selective bases per primer during selective amplification. We demonstrate the effects of the number of fragments and genome size on the appearance of non-identical co-migrating fragments (size homoplasy), which has a negative impact on the informative value of AFLP genotypes. We also present various reaction conditions and their effects on reproducibility and the band intensity of the extremely large genome of Viscum album. The reproducibility of this octo-cutter protocol was calculated using several species with genome sizes ranging from 1 Gb (Carex panicea) to 76 Gb (Viscum album). The improved protocol also succeeded in detecting high intraspecific variability in species with large genomes (Viscum album, Galanthus nivalis and Pinus pumila). This article is protected by copyright. All rights reserved.
    No preview · Article · Feb 2016 · Molecular Ecology Resources
  • [Show abstract] [Hide abstract]
    ABSTRACT: A considerable number of single nucleotide polymorphisms (SNPs) are required to elucidate genotype-phenotype associations and determine the molecular basis of important traits. In this work, we carried out de novo SNP discovery accounting for both genome duplication and genetic variation from American and European salmon populations. 9,736,473 non-redundant SNPs were identified across a set of 20 fish by whole genome sequencing. After applying six bioinformatic filtering steps, 200K SNPs were selected to develop an Affymetrix Axiom® myDesign Custom Array. This array was used to genotype 480 fish representing wild and farmed salmon from Europe, North America and Chile. 159,099 (79.6%) SNPs were validated as high quality based on clustering properties. A total of 151,509 validated SNPs showed a unique position in the genome. When comparing these SNPs against 238,572 markers currently available in two other Atlantic salmon arrays, only 4.6% of the SNP overlapped with the panel developed in the present study. This novel high-density SNP panel will be very useful for the dissection of economically and ecologically relevant traits, enhancing breeding programs through genomic selection as well as supporting genetic studies in both wild and farmed populations of Atlantic salmon using high-resolution genome-wide information.
    No preview · Article · Feb 2016 · Molecular Ecology Resources
  • [Show abstract] [Hide abstract]
    ABSTRACT: With the increasing democratization of high-throughout sequencing (HTS) technologies, along with the concomitant increase in sequence yield per dollar, many researchers are exploring HTS for microbial community ecology. Many elements of experimental design can drastically affect the final observed community structure, notably the choice of primers for amplification prior to sequencing. Some targeted microbes can fail to amplify due to primer-targeted sequence divergence and be omitted from obtained sequences, leading to differences among primer pairs in the sequenced organisms even when targeting the same community. This potential source of taxonomic bias in HTS makes it prudent to investigate how primer choice will affect the sequenced community prior to investing in a costly community-wide sequencing effort. Here we use Fluidigm's micro-fluidic Access Arrays (IFC) followed by Illumina(®) MiSeq Nano sequencing on a culture-derived local mock community to demonstrate how this approach allows for a low-cost combinatorial investigation of primer pairs and experimental samples (up to 48 primer pairs and 48 samples) to determine the most effective primers that maximize obtained communities whilst minimizing taxonomic biases. This article is protected by copyright. All rights reserved.
    No preview · Article · Feb 2016 · Molecular Ecology Resources
  • [Show abstract] [Hide abstract]
    ABSTRACT: We present the leaf and floral transcriptomes of two hybridizing bromeliad species that differ in their major pollinator systems. Here we identified candidate genes responsible for pollinator attraction and reproductive isolation in these two species. We searched for candidate genes involved in floral traits, such as color. Approximately 34 Gbp of cDNA sequence data were produced from both tissues and species, resulting in a total of 424,506,914 raw reads. The de novo-assembled transcriptomes consisted of a total of 263,955 contigs, further clustered into 110,977 unigenes. Over 58% of the unigenes were functionally annotated and assigned to one or more Gene Ontology terms. The transcriptomes revealed 144 unique transcripts that encode key enzymes in the flavonoid and anthocyanin biosynthesis pathways. The domain/family annotation and phylogenetic analysis allowed us to infer, by homology, potential functions of the genes encoding MYB, HD-ZIP, and bZIP-HY5 transcription factors, as well as WD40 protein, which may be involved in anthocyanin and flavonoid regulation in these species. These candidate genes are associated with natural regulation in flower color in other plant species and will facilitate future studies aimed at elucidating the molecular basis of adaptive differentiation and the evolution of mechanisms of pollinator-mediated reproductive isolation in these two bromeliads. In addition, we identified a total of 49,439 microsatellite loci. These resources will assist future research into adaptation and speciation events in bromeliad species, thus providing a starting point for investigation of the molecular mechanisms of the traits responsible for their reproductive isolation. This article is protected by copyright. All rights reserved.
    No preview · Article · Feb 2016 · Molecular Ecology Resources
  • [Show abstract] [Hide abstract]
    ABSTRACT: Invasive species pose a major threat to aquatic ecosystems. Their impact can be particularly severe in tropical regions, like those in northern Australia, where >20 invasive fish species are recorded. In temperate regions, environmental DNA (eDNA) technology is gaining momentum as a tool to detect aquatic pests, but the technology's effectiveness has not been fully explored in tropical systems with their unique climatic challenges (i.e. high turbidity, temperatures and ultra-violet light). In this study, we modified conventional eDNA protocols for use in tropical environments using the invasive fish, Mozambique tilapia (Oreochromis mossambicus) as a detection model. We evaluated the effects of high water temperatures and fish density on the detection of tilapia eDNA, using filters with larger pores to facilitate filtration. Large-pore filters (20 μm) were effective in filtering turbid waters and retaining sufficient eDNA, whilst achieving filtration times of 2-3 minutes per 2-L sample. High water temperatures, often experienced in the tropics (23, 29, 35 °C), did not affect eDNA degradation rates, although high temperatures (35 °C) did significantly increase fish eDNA shedding rates. We established a minimum detection limit for tilapia (1 fish/ 0.4 megalitres/ after 4 days) and found that low water flow (3.17 L/s) into ponds with high fish density (>16 fish/ 0.4 megalitres) did not affect eDNA detection. These results demonstrate that eDNA technology can be effectively used in tropical ecosystems to detect invasive fish species. This article is protected by copyright. All rights reserved.
    No preview · Article · Feb 2016 · Molecular Ecology Resources
  • [Show abstract] [Hide abstract]
    ABSTRACT: Multiple linear regression analyses (also often referred to as generalized linear models - GLMs, or generalized linear mixed models - GLMMs) are widely used in the analysis of data in molecular ecology, often to assess the relative effects of genetic characteristics on individual fitness or traits, or how environmental characteristics influence patterns of genetic differentiation. However, the coefficients resulting from multiple regression analyses are sometimes misinterpreted, which can lead to incorrect interpretations and conclusions within individual studies, and can propagate to wider-spread errors in the general understanding of a topic. The primary issue revolves around the interpretation of coefficients for independent variables when interaction terms are also included in the analyses. In this scenario, the coefficients associated with each independent variable are often interpreted as the independent effect of each predictor variable on the predicted variable. However, this interpretation is incorrect. The correct interpretation is that these coefficients represent the effect of each predictor variable on the predicted variable when all other predictor variables are zero. This difference may sound subtle, but the ramifications cannot be over-stated. Here, my goals are to raise awareness of this issue, to demonstrate and emphasize the problems that can result, and to provide alternative approaches for obtaining the desired information. This article is protected by copyright. All rights reserved.
    No preview · Article · Dec 2015 · Molecular Ecology Resources
  • [Show abstract] [Hide abstract]
    ABSTRACT: Current understanding of the immune system comes primarily from lab-based studies. There has been substantial interest in examining how it functions in the wild, but studies have been limited by a lack of appropriate assays and study species. The three-spined stickleback (Gasterosteus aculeatus L.) provides an ideal system in which to advance the study of wild immunology, but requires the development of suitable immune assays. We demonstrate that meaningful variation in the immune response of stickleback can be measured using real-time PCR to quantify the expression of eight genes, representing the innate response and Th1, Th2 and Treg type adaptive responses. Assays are validated by comparing the immune expression profiles of wild and laboratory raised stickleback, and by examining variation across populations on North Uist, Scotland. We also compare the immune response potential of laboratory raised individuals from two Icelandic populations by stimulating cells in culture. Immune profiles of wild fish differed from laboratory-raised fish from the same parental population, with immune expression patterns in the wild converging relative to those in the laboratory. Innate measures differed between wild populations, whilst the adaptive response was associated with variation in age, relative size of fish, reproductive status and S. solidus infection levels. Laboratory-raised individuals from different populations showed markedly different innate immune response potential. The ability to combine studies in the laboratory and in the wild underline the potential of this toolkit to advance our understanding of the ecological and evolutionary relevance of immune system variation in a natural setting. This article is protected by copyright. All rights reserved.
    No preview · Article · Dec 2015 · Molecular Ecology Resources