Understanding ‘it depends’ in ecology: a guide to hypothesising,visualising and interpreting statistical interactions

Ecologists routinely use statistical models to detect and explain interactions among ecological drivers, with a goal to evaluate whether an effect of interest changes in sign or magnitude in different contexts. Two fundamental properties of interactions are often overlooked during the process of hypothesising, visualising and interpreting interactions between drivers: the measurement scale – whether a response is analysed on an additive or multiplicative scale, such as a ratio or logarithmic scale; and the symmetry – whether dependencies are considered in both directions. Overlooking these properties can lead to one or more of three inferential errors: misinterpretation of (i) the detection and magnitude (Type-D error), and (ii) the sign of effect modification (Type-S error); and (iii) misidentification of the underlying processes (Type-A error). We illustrate each of these errors with a broad range of ecological questions applied to empirical and simulated data sets. We demonstrate how meta-analysis, a widely used approach that seeks explicitly to characterise context dependence, is especially prone to all three errors. Based on these insights, we propose guidelines to improve hypothesis generation, testing, visualisation and interpretation of interactions in ecology.     

Comparison of metabolite production capability indices generated by network analysis methods

A framework of constraint-based reconstruction and analysis (COBRA) is used for modeling large-scale metabolic networks. In COBRA, extreme pathway and optimization analyses are commonly used to study the properties of networks. While the results of both methods are completely consistent, extreme pathway analysis is considered to be better because of its wider representational ability. In this study, we assessed these two methods by computational knockout experiments. We examined a simple pathway model and found that the extreme pathway method led to misguided conclusions in specific cases, while optimization analysis calculated the correct knockout effects. We also investigated the Escherichia coli metabolic pathway model, and found that these methods result in inconsistent interpretations of the network properties. IN CONCLUSION: it has been claimed that these two methods result in the same producible metabolites, but we found a difference in individual results for a biological pathway. Our results could provide helpful guidance for when to use the methods, particularly extreme pathway analysis.     

No effect of recombinase-mediated DNA transfer on production efficiency of transgenic rats.

It was reported that recombinase-A protein (RecA)-coated exogenous DNA was more likely to be integrated into mouse, goat and pig genomes. The objective of this study was to investigate whether integration of exogenous DNA into the rat genome is improved by the recombinase-mediated DNA transfer. Pronuclear microinjection of RecA-coated EGFP or OAMB DNA resulted in a production efficiency of transgenic rats of 1.4-2.9%, comparable with 0.9-2.6% when non-coated control DNA was used. Intracytoplasmic injection of the sperm heads exposed to RecA-coated EGFP DNA did not produce any transgenic rats (0 vs. 0-2.8% in control groups). Thus, the recombinase-mediated DNA transfer contributed very little to the production of transgenic rats by means of pronuclear microinjection and intracytoplasmic sperm injection.     

Involvement of Ca2+-dependent proteasome in the degradation of both cyclin B1 and Mos during spontaneous activation of matured rat oocytes

In matured rat oocytes, spontaneous activation from the metaphase-II (MII) stage occurred after collection from the oviducts. It is well known that the mitogen-activated protein kinase (MAPK) pathway and p34(cdc2) kinase play an important role in the arrest at MII in other species. However, there is no information about the difference in these factors among strains of rats. In the present study, in spontaneously activated oocytes from the Wistar rat, the Mos protein level and the activity of MAPK kinase (MEK)/MAPK were decreased at 120 min (13.8, 25.7, and 19.3, respectively, P<0.05), whereas Sprague-Dawley (SD) oocytes, which were not spontaneously activated, had a high level of Mos protein and MEK/MAPK activity (75.9, 76.2, and 87.9, respectively, P<0.05). Phosphorylation of MAPK in the SD oocytes was significantly suppressed by MEK inhibitor, U0126 at 60 min; this treatment decreased p34(cdc2) kinase activity via cyclin B1 degradation in a time-dependent manner. The treatment with proteasome inhibitor, MG132 or Ca2+-chelator, BAPTA-AM, overcame the spontaneous degradation of both Mos and cyclin B1 in a dose-dependent manner in Wistar oocytes. More than 90% of Wistar oocytes treated with BAPTA-AM were arrested at MII until 120 min. In conclusion, SD oocytes carrying Mos/MEK/MAPK, maintained a high activity of p34(cdc2) kinase by stabilizing cyclin B1, thus involved in their meiotic arrest. In contrast, Wistar oocytes had a relatively low cytostatic factor activity; rapid decrease of Mos/MEK/MAPK failed to stabilize both cyclin B1 and Mos, and these oocytes were likely to spontaneously activate.     

Cell bank characterization and fermentation optimization for production of recombinant heavy chain C-terminal fragment of botulinum neurotoxin serotype E (rBoNTE(H(c)): antigen E) by Pichia pastoris

A process was developed for production of a candidate vaccine antigen, recombinant C-terminal heavy chain fragment of the botulinum neurotoxin serotype E, rBoNTE(H(c)) in Pichia pastoris. P. pastoris strain GS115 was transformed with the rBoNTE(H(c)) gene inserted into pHILD4 Escherichia coli-P. pastoris shuttle plasmid. The clone was characterized for genetic stability, copy number, and BoNTE(H(c)) sequence. Expression of rBoNTE(H(c)) from the Mut(+) HIS4 clone was confirmed in the shake-flask, prior to developing a fed-batch fermentation process at 5 and 19 L scale. The fermentation process consists of a glycerol growth phase in batch and fed-batch mode using a defined medium followed by a glycerol/methanol transition phase for adaptation to growth on methanol and a methanol induction phase resulting in the production of rBoNTE(H(c)). Specific growth rate, ratio of growth to induction phase, and time of induction were critical for optimal rBoNTE(H(c)) production and minimal proteolytic degradation. A computer-controlled exponential growth model was used for process automation and off-gas analysis was used for process monitoring. The optimized process had an induction time of 9 h on methanol and produced up to 3 mg of rBoNTE(H(c)) per gram wet cell mass as determined by HPLC and Western blot analysis.     

Evaluation of colors in green mutants isolated from purple bacteria as a host for colorimetric whole-cell biosensors

The change in carotenoid-based bacterial color from yellow to red can be applied to whole-cell biosensors. We generated several green mutants to emphasize the color change in such biosensors. The blue-green crtI-deleted mutant, Rhodopseudomonas palustris no.711, accumulated the colorless carotenoid precursor, phytoene. Green Rhodovulum sulfidophilum M31 accumulated neurosporene, a downstream product of phytoene. Another green mutant, Rhodobacter sphaeroides Ga, accumulated neurosporene and chloroxanthin, which are both downstream products of phytoene. All green mutants accumulated bacteriochlorophyll a. Photosynthetic membrane obtained from the green mutants all exhibited decreased absorption of wavelength range at 510–570 nm. Therefore, these indicate that the greenish bacterial colors were mainly caused by the existence of bacteriochlorophyll a and the changes in carotenoid composition in photosynthetic membrane. The colors of the green mutants and their wild-type strains were plotted in the CIE-L*a*b* color space, and the color difference (ΔE*ab) values between a green mutant and its wild type were calculated. ΔE*ab values were higher in the green mutants than in Rdv. sulfidophilum CDM2, the yellowish host strain of reported biosensors. These data indicate that change in bacterial color from green to red is more distinguishable than that from yellow to red as a reporter signal of carotenoid-based whole-cell biosensors.     

Hypoxia-induced apoptosis and tube breakdown are regulated by p38 MAPK but not by caspase cascade in an in vitro capillary model composed of human endothelial cells

In order to improve medical treatment of ischemic injury such as myocardial infarction, it is important to elucidate hypoxia-induced changes to endothelial cells. An in vitro blood vessel model, in which HUVECs are stimulated to form a network of capillary-like tubes, was used to analyze hypoxia-induced morphological and biochemical changes. When exposed to hypoxia, the network of capillary tubes broke down into small clusters. This tube breakdown was accompanied by chromatin condensation and cell nuclear fragmentation, morphological markers of apoptosis, and activation of two apoptotic signals, caspase-3 and p38. We investigated what roles caspase cascade and p38 play in hypoxia-induced apoptosis and tube breakdown by using zVAD-fmk and SB203580, specific inhibitors of these two apoptotic signals, respectively. Chromatin condensation and cell nuclear fragmentation and tube breakdown were effectively inhibited by SB203580, but not by zVAD-fmk. SB203580 caused dephosphorylation of p38, which indicates that p38 was autophosphorylated. Inhibition by zVAD-fmk caused slight MW increase in p17 and emergence of p19, which indicates that the inhibitor caused partial processing of caspase-3. Inhibition of p38 suppressed activation of caspase-3 but not vice versa. In addition, these two inhibitors were shown to differentially inhibit cleavage of so-called caspase substrates. SB203580 inhibited cleavage of PARP and lamin A/C, while zVAD-fmk inhibited cleavage of lamin A/C but not that of PARP. Taken together, these results show that p38 is located upstream of caspase cascade and that, although caspase-3 is activated, a p38-regulated caspase-independent pathway is crucial for the execution of hypoxia-induced apoptosis and tube breakdown.