Improving confidence in environmental DNA species detection

Will we catch fish today? Our grandfathers’ responses were usually something along the lines of, ‘Probably. I've caught them here before’. One of the foundations of ecology is identifying which species are present, and where. This informs our understanding of species richness patterns, spread of invasive species, and loss of threatened and endangered species due to environmental change. However, our understanding is often lacking, particularly in aquatic environments where biodiversity remains hidden below the water's surface. The emerging field of metagenetic species surveillance is aiding our ability to rapidly determine which aquatic species are present, and where. In this issue of Molecular Ecology Resources, Ficetola et al. ( 2015 ) provide a framework for metagenetic environmental DNA surveillance to foster the confidence of our grandfathers’ fishing prowess by more rigorously evaluating the replication levels necessary to quantify detection errors and ultimately improving our confidence in aquatic species presence.     

Ecdysteroids and meiotic reinitiation in Palaemon serratus (Crustacea Decapoda Natantia) and in Locusta migratoria (Insecta orthoptera). A comparative study

Summary

Meiotic reinitiation has been studied in Locusta migratoria and Palaemon serratus in relation to the titre of free ecdysteroids present in the maturing oocyte. In both species meiotic reinitiation is characterized by two meiotic arrests, in prophase I and in metaphase I, and the first meiotic resumption which leads to germinal vesicle breakdown (GVBD) is correlated with increasing titres of ecdysteroids in the oocyte. Meiotic reinitiation has been successfully triggered in the oocytes of both species by incubation with physiological doses of ecdysteroids.     

Application of random effects to the study of resource selection by animals

1. Resource selection estimated by logistic regression is used increasingly in studies to identify critical resources for animal populations and to predict species occurrence. 2. Most frequently, individual animals are monitored and pooled to estimate population-level effects without regard to group or individual-level variation. Pooling assumes that both observations and their errors are independent, and resource selection is constant given individual variation in resource availability. 3. Although researchers have identified ways to minimize autocorrelation, variation between individuals caused by differences in selection or available resources, including functional responses in resource selection, have not been well addressed. 4. Here we review random-effects models and their application to resource selection modelling to overcome these common limitations. We present a simple case study of an analysis of resource selection by grizzly bears in the foothills of the Canadian Rocky Mountains with and without random effects. 5. Both categorical and continuous variables in the grizzly bear model differed in interpretation, both in statistical significance and coefficient sign, depending on how a random effect was included. We used a simulation approach to clarify the application of random effects under three common situations for telemetry studies: (a) discrepancies in sample sizes among individuals; (b) differences among individuals in selection where availability is constant; and (c) differences in availability with and without a functional response in resource selection. 6. We found that random intercepts accounted for unbalanced sample designs, and models with random intercepts and coefficients improved model fit given the variation in selection among individuals and functional responses in selection. Our empirical example and simulations demonstrate how including random effects in resource selection models can aid interpretation and address difficult assumptions limiting their generality. This approach will allow researchers to appropriately estimate marginal (population) and conditional (individual) responses, and account for complex grouping, unbalanced sample designs and autocorrelation.     

Measuring global fish species richness with eDNA metabarcoding

Despite mounting threats to global freshwater and marine biodiversity, including climate change, habitat alteration, overharvesting and pollution, we struggle to know which species are present below the water's surface that are suffering from these stressors. However, the idea that a water sample containing environmental DNA (eDNA) can be screened using high‐throughput sequencing and bioinformatics to reveal the identity of aquatic species is a revolutionary advance for studying the patterns of species extirpation, invasive species establishment and the dynamics of species richness. To date, many of the critical tests of fisheries diversity using this metabarcoding approach have been conducted in lower diversity systems (<40 fish species), but in this issue of Molecular Ecology Resources, Cilleros et al. (2018) described their eDNA application in the species‐rich French Guiana fishery (>200 fish species) and showed the greater potential and some limitations of using eDNA in species‐rich environments.     

Cell cycle phosphorylation of mitotic exit network (MEN) proteins

Phosphorylation of proteins is an important mechanism used to regulate most cellular processes. Recently, we completed an extensive phosphoproteomic analysis of the core proteins that constitute the Saccharomyces cerevisiae centrosome. Here, we present a study of phosphorylation sites found on the mitotic exit network (MEN) proteins, most of which are associated with the cytoplasmic face of the centrosome. We identified 55 sites on Bfa1, Cdc5, Cdc14 and Cdc15. Eight sites lie in cyclin-dependent kinase motifs (Cdk, S/T-P), and 22 sites are completely conserved within fungi. More than half of the sites were found in centrosomes from mitotic cells, possibly in preparation for their roles in mitotic exit. Finally, we report phosphorylation site information for other important cell cycle and regulatory proteins.Key words: in vivo phosphorylation, yeast centrosome, mitotic exit network (MEN), cell cycle, protein kinase, Cdk (cyclin-dependent kinase)/Cdc28, Plk1 (polo-like kinase)/Cdc5Reversible protein phosphorylation leads to changes in targeting, structure and stability of proteins and is used widely to modulate biochemical reactions in the cell. We are interested in phosphoregulation of centrosome duplication and function in the yeast Saccharomyces cerevisiae. Centrosomes nucleate microtubules and, upon duplication during the cell cycle, form the two poles of the bipolar mitotic spindle used to segregate replicated chromosomes into the two daughter cells. Timing and spatial cues are highly regulated to ensure that elongation of the mitotic spindle and separation of sister chromatids occur prior to progression into late telophase and initiation of mitotic exit. The mitotic exit network (MEN) regulates this timing through a complex signaling cascade activated at the centrosome that triggers the end of mitosis, ultimately through mitotic cyclin-dependent kinase (Cdk) inactivation (reviewed in ref. ¹).The major components of the MEN pathway (Fig. 1) are a Ras-like GTPase (Tem1), an activator (Lte1) with homology to nucleotide exchange factors, a GTPase-activating protein (GAP) complex (Bfa1/Bub2), several protein kinases [Cdc5 (Plk1 in humans), Cdc15 and Dbf2/Mob1] and Cdc14 phosphatase (reviewed in ref. ^2–5). Tem1 initiates the signal for the MEN pathway when switched to a GTP-active state. Prior to activation at anaphase, it is held at the centrosome in an inactive GDP-bound state by an inhibiting GAP complex, Bfa1/Bub2.⁶ The Bfa1/Bub2 complex and the inactive Tem1 are localized at the mother centrosome destined to move into the budded cell upon chromosome segregation, whereas the activator Lte1 is localized at the tip of the budded cell. These separate localizations ensure that Lte1 and Tem1 only interact in late anaphase, when the mitotic spindle elongates.^7,8 Lte1 has been thought to activate Tem1 as a nucleotide exchange factor, although more recent evidence suggests that it may instead affect Bfa1 localization.⁹ In addition, full activation of Tem1 is achieved through Cdc5 phosphorylation of the negative regulator Bfa1 ¹⁰ and potentially through phosphorylation of Lte1. GTP-bound Tem1 is then able to recruit Cdc15 to the centrosome, allowing for Dbf2 activation.³ The final step in the MEN pathway is release of Cdc14 from the nucleolus, which is at least partially due to phosphorylation by Dbf2¹¹ an leads to mitotic cyclin degradation and inactivation of the mitotic kinase.²Open in a separate windowFigure 1Schematic representation of the MEN proteins and pathway. MEN protein localization is shown within a metaphase cell when mitotic exit is inhibited and in a late anaphase cell when mitotic exit is initiated. Primary inhibition and activation events are described below the cells.Recently, we performed a large-scale analysis of phosphorylation sites on the 18 core yeast centrosomal proteins present in enriched centrosomal preparations.¹² In total, we mapped 297 sites on 17 of the 18 proteins and described their cell cycle regulation, levels of conservation and demonstrated defects in centrosome assembly and function resulting from mutating selected sites. MEN proteins were also identified in the centrosome preparations. This was expected, because Nud1, one of the 18 core centrosome components, is known to recruit several MEN proteins to the centrosome¹³ as part of its function in mitotic exit.^14,15 As phosphorylation is essential to several steps in the MEN pathway, beginning with recruitment of Bfa1/Bub2 by phosphorylated Nud1,¹⁵ we were interested in mapping in vivo phosphorylation sites on the MEN proteins associated with centrosomes and identifying when they occur during the cell cycle.We combined centrosome enrichment with mass spectrometry analysis to examine phosphorylation from asynchronously growing cells.¹² Centrosomes were also prepared from cells arrested in G₁ and mitosis¹² to monitor potentially cell cycle-regulated sites. We obtained significant coverage of a number of the MEN proteins, several of which have human homologs (​and33, column 1), of which eight sites lie within Cdk/Cdc28 motifs [S/T(P)], (23 Mob1 and Dbf2 are known phosphoproteins²⁴ for which we observed peptide coverage but no phosphorylation. Surprisingly, we did not detect phosphorylation on Bub2 despite the high peptide coverage; it is possible that the mitotic centrosome preparations (using a Cdc20 depletion protocol) affect the phosphorylation state of Bub2, as Bub2 is required for mitotic exit arrest in cdc20 mutants.²⁵ Additionally, specific phosphorylation sites have not been mapped on Bub2, suggesting that modifications on this protein may be difficult to observe by mass spectrometry. Lte1 does not localize to the centrosome, and we did not recover Lte1 peptides in our preparations. Many phosphorylation events on MEN proteins were observed in mitotic centrosomal preparations, most likely in preparation for their subsequent role in exit from mitosis (

Weed risk assessment for aquatic plants: modification of a New Zealand system for the United States

We tested the accuracy of an invasive aquatic plant risk assessment system in the United States that we modified from a system originally developed by New Zealand's Biosecurity Program. The US system is comprised of 38 questions that address biological, historical, and environmental tolerance traits. Values associated with each response are summed to produce a total score for each species that indicates its risk of invasion. To calibrate and test this risk assessment, we identified 39 aquatic plant species that are major invaders in the continental US, 31 species that have naturalized but have no documented impacts (minor invaders), and 60 that have been introduced but have not established. These species represent 55 families and span all aquatic plant growth forms. We found sufficient information to assess all but three of these species. When the results are compared to the known invasiveness of the species, major invaders are distinguished from minor and non-invaders with 91% accuracy. Using this approach, the US aquatic weed risk assessment correctly identifies major invaders 85%, and non-invaders 98%, of the time. Model validation using an additional 10 non-invaders and 10 invaders resulted in 100% accuracy for the former, and 80% accuracy for the latter group. Accuracy was further improved to an average of 91% for all groups when the 17% of species with scores of 31-39 required further evaluation prior to risk classification. The high accuracy with which we can distinguish non-invaders from harmful invaders suggests that this tool provides a feasible, pro-active system for pre-import screening of aquatic plants in the US, and may have additional utility for prioritizing management efforts of established species.     

Evidence against the use of surrogates for biomonitoring of Neotropical floodplains

1. Community concordance measures the level of association between the compositional patterns shown by two groups of organisms. If strong community concordance occurs, one group could be used as a surrogate for another in conservation planning and biodiversity monitoring. In this study, we evaluated the variability in the strength of community concordance, the likely mechanisms underlying community concordance and the degree to which one community can predict another in a set of Neotropical floodplain lakes (Upper Paraná River floodplain, Brazil). 2. We used a data set including six aquatic communities: fish, macrophytes, benthic macroinvertebrates, zooplankton, phytoplankton and periphyton. We used Mantel and PROTEST approaches to evaluate the levels of community concordance in up to four sampling periods. Also, we used partial Mantel test and information about biotic interactions to investigate reasons for observed patterns of concordance. Finally, we used co‐correspondence analysis to evaluate the performance of one taxonomic group in predicting the structures of other communities. 3. The levels of community concordance varied over time for almost all cross‐taxa comparisons. Concordance between phytoplankton and periphyton probably resulted from similar responses to environmental gradients, whereas other patterns of concordance were likely generated by interactions among groups. However, the levels of predictability were low, and no particular taxonomic group significantly predicted all other groups. 4. The low and temporally variable levels of community concordance cast doubts on the use of surrogate groups for biodiversity management in Neotropical floodplains.     

Statistical discovery of site inter-dependencies in sub-molecular hierarchical protein structuring

Background

Much progress has been made in understanding the 3D structure of proteins using methods such as NMR and X-ray crystallography. The resulting 3D structures are extremely informative, but do not always reveal which sites and residues within the structure are of special importance. Recently, there are indications that multiple-residue, sub-domain structural relationships within the larger 3D consensus structure of a protein can be inferred from the analysis of the multiple sequence alignment data of a protein family. These intra-dependent clusters of associated sites are used to indicate hierarchical inter-residue relationships within the 3D structure. To reveal the patterns of associations among individual amino acids or sub-domain components within the structure, we apply a k-modes attribute (aligned site) clustering algorithm to the ubiquitin and transthyretin families in order to discover associations among groups of sites within the multiple sequence alignment. We then observe what these associations imply within the 3D structure of these two protein families.

Results

The k-modes site clustering algorithm we developed maximizes the intra-group interdependencies based on a normalized mutual information measure. The clusters formed correspond to sub-structural components or binding and interface locations. Applying this data-directed method to the ubiquitin and transthyretin protein family multiple sequence alignments as a test bed, we located numerous interesting associations of interdependent sites. These clusters were then arranged into cluster tree diagrams which revealed four structural sub-domains within the single domain structure of ubiquitin and a single large sub-domain within transthyretin associated with the interface among transthyretin monomers. In addition, several clusters of mutually interdependent sites were discovered for each protein family, each of which appear to play an important role in the molecular structure and/or function.

Conclusions

Our results demonstrate that the method we present here using a k- modes site clustering algorithm based on interdependency evaluation among sites obtained from a sequence alignment of homologous proteins can provide significant insights into the complex, hierarchical inter-residue structural relationships within the 3D structure of a protein family.

     

Changing concepts in plant hormone action

Summary A plant hormone is not, in the classic animal sense, a chemical synthesized in one organ, transported to a second organ to exert a chemical action to control a physiological event. Any phytohormone can be synthesized everywhere and can influence different growth and development processes at different places. The concept of physiological activity under hormonal control cannot be dissociated from changes in concentrations at the site of action, from spatial differences and changes in the tissue's sensitivity to the compound, from its transport and its metabolism, from balances and interactions with the other phytohormones, or in their metabolic relationships, and in their signaling pathways as well. Secondary messengers are also involved. Hormonal involvement in physiological processes can appear through several distinct manifestations (as environmental sensors, homeostatic regulators and spatio-temporal synchronizers, resource allocators, biotime adjusters, etc.), dependent on or integrated with the primary biochemical pathways. The time has also passed for the hypothesized ‘specific’ developmental hormones, rhizocaline, canlocaline, and florigen: root, stem, and flower formation result from a sequential control of specific events at the right places through a coordinated control by electrical signals, the known phytohormones and nonspecific molecules of primary and secondary metabolism, and involve both cytoplasmic and apoplastic compartments. These contemporary views are examined in this review.