Specific labelling of the active site of the phosphate translocator in spinach chloroplasts by 2,4,6-trinitrobenzene sulfonate

Phosphate transport across the chloroplast envelope is rapidly inactivated by the amino-group reagent 2,4,6-trinitrobenzene sulfonate. Subsequent exposure to [³H]NaBH₄ leads to an incorporation of the trinitrophenyl moiety into envelope membrane preparations. From the membrane proteins only a polypeptide with 29000 dalton molecular weight is labelled. The inactivation of phosphate transport and the incorporation of radioactivity are both specifically reduced by the presence of substrates.The results lead to the conclusion that a polypeptide with a molecular weight of 29000 dalton and containing a lysyl residue at the substrate binding site is involved in the phosphate translocator function.     

Variation in the phenology of photosynthesis among eastern white pine provenances in response to warming

In higher‐latitude trees, temperature and photoperiod control the beginning and end of the photosynthetically active season. Elevated temperature (ET) has advanced spring warming and delayed autumn cooling while photoperiod remains unchanged. We assessed the effects of warming on the length of the photosynthetically active season of three provenances of Pinus strobus L. seedlings from different latitudes, and evaluated the accuracy of the photochemical reflectance index (PRI) and the chlorophyll/carotenoid index (CCI) for tracking the predicted variation in spring and autumn phenology of photosynthesis among provenances. Seedlings from northern, local and southern P. strobus provenances were planted in a temperature‐free‐air‐controlled enhancement (T‐FACE) experiment and exposed to ET (+1.5/3°C; day/night). Over 18 months, we assessed photosynthetic phenology by measuring chlorophyll fluorescence, gas exchange, leaf spectral reflectance and pigment content. During autumn, all seedlings regardless of provenance followed the same sequence of phenological events with the initial downregulation of photosynthesis, followed by the modulation of non‐photochemical quenching and associated adjustments of zeaxanthin pool sizes. However, the timing of autumn downregulation differed between provenances, with delayed onset in the southern provenance (SP) and earlier onset in the northern relative to the local provenance, indicating that photoperiod at the provenance origin is a dominant factor controlling autumn phenology. Experimental warming further delayed the downregulation of photosynthesis during autumn in the SP. A provenance effect during spring was also observed but was generally not significant. The vegetation indices PRI and CCI were both effective at tracking the seasonal variations of energy partitioning in needles and the differences of carotenoid pigments indicative of the stress status of needles. These results demonstrate that PRI and CCI can be useful tools for monitoring conifer phenology and for the remote monitoring of the length of the photosynthetically active season of conifers in a changing climate.     

Soil and root nutrient chemistry structure root-associated fungal assemblages in temperate forests

Root-associated fungi (RAF) link nutrient fluxes between soil and roots and thus play important roles in ecosystem functioning. To enhance our understanding of the factors that control RAF, we fitted statistical models to explain variation in RAF community structure using data from 150 temperate forest sites covering a broad range of environmental conditions and chemical root traits. We found that variation in RAF communities was related to both root traits (e.g., cations, carbohydrates, NO₃⁻) and soil properties (pH, cations, moisture, C/N). The identified drivers were the combined result of distinct response patterns of fungal taxa (determined at the rank of orders) to biotic and abiotic factors. Our results support that RAF community variation is related to evolutionary adaptedness of fungal lineages and consequently, drivers of RAF communities are context-dependent.     

Identification of Avramr1 from Phytophthora infestans using long read and cDNA pathogen-enrichment sequencing (PenSeq)

Potato late blight, caused by the oomycete pathogen Phytophthora infestans, significantly hampers potato production. Recently, a new Resistance to Phytophthora infestans (Rpi) gene, Rpi-amr1, was cloned from a wild Solanum species, Solanum americanum. Identification of the corresponding recognized effector (Avirulence or Avr) genes from P. infestans is key to elucidating their naturally occurring sequence variation, which in turn informs the potential durability of the cognate late blight resistance. To identify the P. infestans effector recognized by Rpi-amr1, we screened available RXLR effector libraries and used long read and cDNA pathogen-enrichment sequencing (PenSeq) on four P. infestans isolates to explore the untested effectors. Using single-molecule real-time sequencing (SMRT) and cDNA PenSeq, we identified 47 highly expressed effectors from P. infestans, including PITG_07569, which triggers a highly specific cell death response when transiently coexpressed with Rpi-amr1 in Nicotiana benthamiana, suggesting that PITG_07569 is Avramr1. Here we demonstrate that long read and cDNA PenSeq enables the identification of full-length RXLR effector families and their expression profile. This study has revealed key insights into the evolution and polymorphism of a complex RXLR effector family that is associated with the recognition by Rpi-amr1.     

Historical and philosophical perspectives on the study of developmental bias

Throughout the recent history of research at the intersection of evolution and development, notions such as developmental constraint, evolutionary novelty, and evolvability have been prominent, but the term “developmental bias” has scarcely been used. And one may even doubt whether a unique and principled definition of bias is possible. I argue that the concept of developmental bias can still play a vital scientific role by means of setting an explanatory agenda that motivates investigation and guides the formulation of integrative explanatory frameworks. Less crucial is a definition that would classify patterns of phenotypic variation and unify variational patterns involving different traits and taxa as all being “bias.” Instead, what we should want is a concept that generates intellectual identity across various researchers, and that unites the diverse fields and approaches relevant to the study of developmental bias, from paleontology to behavioral biology. I point to some advantages of conducting research specifically under the label of “developmental bias,” compared with employing other, more common terms such as “evolvability.”     

“Into and Out of” the Qinghai‐Tibet Plateau and the Himalayas: Centers of origin and diversification across five clades of Eurasian montane and alpine passerine birds

Encompassing some of the major hotspots of biodiversity on Earth, large mountain systems have long held the attention of evolutionary biologists. The region of the Qinghai‐Tibet Plateau (QTP) is considered a biogeographic source for multiple colonization events into adjacent areas including the northern Palearctic. The faunal exchange between the QTP and adjacent regions could thus represent a one‐way street (“out of” the QTP). However, immigration into the QTP region has so far received only little attention, despite its potential to shape faunal and floral communities of the QTP. In this study, we investigated centers of origin and dispersal routes between the QTP, its forested margins and adjacent regions for five clades of alpine and montane birds of the passerine superfamily Passeroidea. We performed an ancestral area reconstruction using BioGeoBEARS and inferred a time‐calibrated backbone phylogeny for 279 taxa of Passeroidea. The oldest endemic species of the QTP was dated to the early Miocene (ca. 20 Ma). Several additional QTP endemics evolved in the mid to late Miocene (12–7 Ma). The inferred centers of origin and diversification for some of our target clades matched the “out of Tibet hypothesis’ or the “out of Himalayas hypothesis” for others they matched the “into Tibet hypothesis.” Three radiations included multiple independent Pleistocene colonization events to regions as distant as the Western Palearctic and the Nearctic. We conclude that faunal exchange between the QTP and adjacent regions was bidirectional through time, and the QTP region has thus harbored both centers of diversification and centers of immigration.     

Lumbar posture and muscular activity while sitting during office work

PurposeField study, cross-sectional study to measure the posture and sEMG of the lumbar spine during office work for a better understanding of the lumbar spine within such conditions.ScopeThere is high incidence of low back pain in office workers. Currently there is little information about lumbar posture and the activity of lumbar muscles during extended office work.MethodsThirteen volunteers were examined for around 2 h of their normal office work. Typical tasks were documented and synchronised to a portable long term measuring device for sEMG and posture examination. The correlation of lumbar spine posture and sEMG was tested statistically.ResultsThe majority of time spent in office work was sedentary (82%). Only 5% of the measured time was undertaken in erect body position (standing or walking). The sEMG of the lumbar muscles under investigation was task dependent. A strong relation to lumbar spine posture was found within each task. The more the lumbar spine was flexed, the less there was activation of lumbar muscles (P < .01). Periods of very low or no activation of lumbar muscles accounted for about 30% of relaxed sitting postures.ConclusionBecause of very low activation of lumbar muscles while sitting, the load is transmitted by passive structures like ligaments and intervertebral discs. Due to the viscoelasticity of passive structures and low activation of lumbar muscles, the lumbar spine may incline into de-conditioning. This may be a reason for low back pain.     

Low-field magnetic resonance imaging study on carpal arthritis in systemic sclerosis - low-grade erosive arthritis of carpal bones is an unexpected and frequent disease manifestation

Introduction

The aim of the present study was to assess the prevalence and characteristics of subclinical arthritis of carpal and metacarpophalangeal joints in patients with systemic sclerosis (SSc).

Methods

Low-field (0.2 T) magnetic resonance imaging (MRI) was performed in consecutive patients with SSc attending our center between January 2010 and March 2011. Results were assessed in a standardized manner using the Rheumatoid Arthritis Magnetic Resonance Imaging Score (RAMRIS) and standardized assessments of all hand joints. Patients with arthritis due to overlap syndromes were excluded.

Results

Of 38 inpatients and eight outpatients who were screened for inclusion, 30 patients participated in the study and 26 patients could be evaluated. Erosions, bone marrow edema, synovitis, and joint effusions were found in 87%, 37%, 68%, and 58%, respectively, and 24% of patients had additional tenovaginitis. Arthritis affected only a low number of joints per analyzed hand. All bones and joints could be affected, but synovitis and bone marrow edema occurred predominantly in the proximal row of carpal bones, most frequently affecting the lunate bone. The extent of inflammatory changes measured with the RAMRIS correlated significantly with the functional status assessed with the validated German functional score questionnaire Funktionsfragebogen Hannover.

Conclusion

Low-grade arthritic changes on low-field MRI are frequent in patients with pure SSc. The features of arthritis in SSc differ from rheumatoid arthritis. The distribution, the MRI pattern and the predilection for the lunate bone raise the hypothesis that arthritis in SSc may be caused not only by immunological inflammation but also by ischemic mechanisms.     

Interrogating cAMP-dependent Kinase Signaling in Jurkat T Cells via a Protein Kinase A Targeted Immune-precipitation Phosphoproteomics Approach

In the past decade, mass-spectrometry-based methods have emerged for the quantitative profiling of dynamic changes in protein phosphorylation, allowing the behavior of thousands of phosphorylation sites to be monitored in a single experiment. However, when one is interested in specific signaling pathways, such shotgun methodologies are not ideal because they lack selectivity and are not cost and time efficient with respect to instrument and data analysis time.Here we evaluate and explore a peptide-centric antibody generated to selectively enrich peptides containing the cAMP-dependent protein kinase (PKA) consensus motif. This targeted phosphoproteomic strategy is used to profile temporal quantitative changes of potential PKA substrates in Jurkat T lymphocytes upon prostaglandin E₂ (PGE₂) stimulation, which increases intracellular cAMP, activating PKA. Our method combines ultra-high-specificity motif-based immunoaffinity purification with cost-efficient stable isotope dimethyl labeling. We identified 655 phosphopeptides, of which 642 (i.e. 98%) contained the consensus motif [R/K][R/K/X]X[pS/pT]. When our data were compared with a large-scale Jurkat T-lymphocyte phosphoproteomics dataset containing more than 10,500 phosphosites, a minimal overlap of 0.2% was observed. This stresses the need for such targeted analyses when the interest is in a particular kinase.Our data provide a resource of likely substrates of PKA, and potentially some substrates of closely related kinases. Network analysis revealed that about half of the observed substrates have been implicated in cAMP-induced signaling. Still, the other half of the here-identified substrates have been less well characterized, representing a valuable resource for future research.The identification and quantification of protein phosphorylation under system perturbations is an integral part of systems biology (1, 2). The combination of phosphopeptide enrichment (3–6), stable isotope labeling, and high-resolution mass spectrometry (MS) methods (7–9) has become the method of choice for the identification of novel phosphorylation sites and for the quantitation of temporal dynamics within signaling networks (10, 11), allowing the behavior of thousands of phosphorylation sites to be studied in a single experiment (10, 12, 13). Nowadays, one of the most commonly adopted high-throughput phosphoproteomics strategies utilizes two consecutive separation steps: (i) an initial fractionation to reduce the sample complexity, and (ii) a phosphopeptide-specific affinity purification. Such techniques include strong cation exchange fractionation under acidic conditions (3), followed by a chelation-based method with the use of metal ions (i.e. immobilized metal ion affinity chromatography (4), metal oxide affinity chromatography (10, 14), or Ti⁴⁺ immobilized metal ion affinity chromatography (6)). Alternatives to strong cation exchange for the first sample fractionation step have also been reported, including the use of electrostatic repulsion liquid chromatography (15, 16), which is well suited for the identification of multiply phosphorylated peptides, or hydrophilic interaction chromatography (17).Although the number of detected phosphorylated peptides is nowadays impressive, these kinds of methodologies are still inclined to identify/quantify the more abundant phosphoproteins present in a sample. For example, phosphotyrosine peptides are underrepresented because of their relatively lower abundance.In order to analyze key signaling events that may occur on less abundant phosphoproteins, more targeted approaches, focused on a specific pathway or a specific post-translational modification, are thus still essential. Studies examining post-translational modifications are often based on immunoaffinity purification at the protein or peptide level using dedicated antibodies. Recent examples include the selective enrichment of acetylated lysines (18) and phosphorylated tyrosines (19, 20). More recently, the first specific methods targeting serine/threonine phosphorylation motifs using immune-affinity assays have emerged (21, 22). The advantages of targeted approaches are their potentially higher sensitivity and more specific throughput with, as a consequence, relatively faster and easier data interpretation, which make them attractive for many systems biology applications.Immunoaffinity enrichment can be applied at both the protein and the peptide level, and both have been explored to study protein tyrosine phosphorylation (23). The first one results mainly in information on total protein phosphorylation levels. The detection of the actual phosphoresidue might be hampered by the high content of unmodified peptides derived from the immune-purified phosphoprotein and its binding partners. Immunoprecipitation at the peptide level (20, 24, 25), in contrast, leads to improved phosphosite characterization, with the identification of hundreds of sites, albeit with the loss (generally) of information regarding total protein expression.To profile the dynamic regulation of phosphorylation events via mass spectrometry, stable isotope labeling is often implemented, either with the use of amino acids in cell culture (10) or via chemical peptide labeling of the proteolytic digests (26, 27). To identify low-abundant signaling events, phosphoprotein/phosphopeptide immunoprecipitation is typically performed on several milligrams of material because of the substoichiometric abundance of post-translational modifications. This may hamper the use of expensive isotope-labeling reagents such as iTRAQ or tandem mass tag reagents, given the large amount of chemicals needed. Boersema et al. (28) introduced an alternative sensitive and accurate triplex labeling approach using inexpensive reagents (i.e. formaldehyde) that is much less limited in terms of the sample type or amount. We combined this latter stable-isotope dimethyl labeling approach (27–29) with highly specific antibodies raised against a set of cAMP-dependent protein kinase (PKA) phosphorylated substrates as based on the current literature (11, 30–34). It is generally accepted that PKA phosphorylates sites with the reasonably stringent consensus motif [R/K][R/K/X]X[pS/pT]. It should be noted that this consensus motif resembles somewhat the motifs of other AGC kinases (e.g. Akt, PKG, PKC).The basicity of the PKA motifs may hamper their analysis via MS-based proteomics, especially when trypsin is used as a protease, as the peptides may become too small to be sequenced. The use of trypsin is also unfavorable in the approach presented here when attempting to immunoprecipitate peptides bearing the PKA motif. Therefore, we decided to use Lys-C in order to keep the (dominant (RRX[pS/pT])) phosphorylated motif intact. To enhance identification, we applied decision-tree MS/MS technology (9), which makes use of HCD and ETD for more efficient fragmentation, higher mass accuracy in tandem MS mode, and less background noise (35).We applied this method to screen the response of Jurkat T cells to prostaglandin E₂ (PGE₂) treatment. PGE₂ is a potent inflammatory mediator that plays an important role in several immune-regulatory actions (36). It is produced by many different cell types, including tumor cells, where carcinogenesis is associated with chronic inflammatory responses (37). PGE₂ signaling in T cells is initiated by its binding to the G protein–coupled receptors EP1, -2, -3, and -4. Signaling pathways that are initiated by PGE₂ are for the most part under control of the second messenger cyclic adenosine monophosphate (cAMP),¹ which is generated from ATP by adenylyl cyclase when PGE₂ binds to EP2 or EP4 receptors. One of the primary targets of cAMP is PKA—cAMP binding releases the catalytic subunit activating the kinase. In the current study, we efficiently enriched close to 650 phosphopeptides containing the [R/K][R/K/X]X[pS/pT] consensus motif. Almost all these sites were absent in a recently reported comprehensive phosphoproteomics dataset of Jurkat T cells (12), compiled using shotgun strong cation exchange–immobilized metal ion affinity chromatography analysis and containing ∼10,500 phosphorylation sites, illustrative of the complementarity and selectivity of our approach. The qualitative and quantitative data presented here provide a wide-ranging and credible resource of likely PKA substrates. Network analysis confirmed several established cAMP-dependent signaling nodes in our dataset, although most identified potential PKA substrates are “novel” (i.e. not previously reported and/or linked to PKA). Therefore, the dataset presented here can be considered as a comprehensive and reliable resource for future research into cAMP-related signaling.