Preface to the Princeton Landmarks in Biology Edition vii Preface xi Symbols Used xiii 1. The Importance of Islands 3 2. Area and Number of Speicies 8 3. Further Explanations of the Area-Diversity Pattern 19 4. The Strategy of Colonization 68 5. Invasibility and the Variable Niche 94 6. Stepping Stones and Biotic Exchange 123 7. Evolutionary Changes Following Colonization 145 8. Prospect 181 Glossary 185 References 193 Index 201

The Theory of Island Biogeography

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Impatti, adattamento e vulnerabilita Le cause e le responsabilita dei cambiamenti climatici sono state trattate sul numero di ottobre della rivista Cda. Approfondiamo l’argomento presentando il documento: “Cambiamenti climatici 2007: impatti, adattamento e vulnerabilita” votato ad aprile 2007 dal secondo gruppo di lavoro del Comitato Intergovernativo sui Cambiamenti Climatici (Intergovernmental Panel on Climate Change). Si tratta del secondo di tre documenti che compongono il quarto rapporto sui cambiamenti climatici.

/pdf/climate-change-2007-impacts-adaptation-and-vulnerability-31xc1cf4d3.pdf

Climate Change 2007: Impacts, Adaptation and Vulnerability.

Metabolite profiling in biomarker discovery, enzyme substrate assignment, drug activity/specificity determination, and basic metabolic research requires new data preprocessing approaches to correlate specific metabolites to their biological origin. Here we introduce an LC/MS-based data analysis approach, XCMS, which incorporates novel nonlinear retention time alignment, matched filtration, peak detection, and peak matching. Without using internal standards, the method dynamically identifies hundreds of endogenous metabolites for use as standards, calculating a nonlinear retention time correction profile for each sample. Following retention time correction, the relative metabolite ion intensities are directly compared to identify changes in specific endogenous metabolites, such as potential biomarkers. The software is demonstrated using data sets from a previously reported enzyme knockout study and a large-scale study of plasma samples. XCMS is freely available under an open-source license at http://metlin...

XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

Metabolites are the end products of cellular regulatory processes, and their levels can be regarded as the ultimate response of biological systems to genetic or environmental changes. In parallel to the terms ‘transcriptome’ and ‘proteome’, the set of metabolites synthesized by a biological system constitute its ‘metabolome’. Yet, unlike other functional genomics approaches, the unbiased simultaneous identification and quantification of plant metabolomes has been largely neglected. Until recently, most analyses were restricted to profiling selected classes of compounds, or to fingerprinting metabolic changes without sufficient analytical resolution to determine metabolite levels and identities individually. As a prerequisite for metabolomic analysis, careful consideration of the methods employed for tissue extraction, sample preparation, data acquisition, and data mining must be taken. In this review, the differences among metabolite target analysis, metabolite profiling, and metabolic fingerprinting are clarified, and terms are defined. Current approaches are examined, and potential applications are summarized with a special emphasis on data mining and mathematical modelling of metabolism.

https://link.springer.com/content/pdf/10.1023%2FA%3A1013713905833.pdf

Metabolomics - the link between genotypes and phenotypes

Plant chromatin, metabolism and development - an intricate crosstalk.

The structure of acyl carrier protein (ACP) may determine the fate of the acyl moieties linked to it in the course of de-novo fatty acid synthesis in higher plants. To investigate a possible correlation between the structure of ACP and the synthesis of medium-chain fatty acids, we isolated and characterized ACP from the seeds of Cuphea lanceolata Ait. (subgenus Eucuphea/Section Heterodon), an annual crop that contains up to 90% decanoic (capric) acid in seed triacylglycerols. After a cell-free extract prepared from developing seeds was treated to 65% saturation with ammonium sulfate, two ACP-isoforms (ACP 1 and ACP 2) were identified in the supernatant that could be purified to homogeneity by anion-exchange chromatography and subsequent reversed-phase high-performance liquid chromatography. The molecular mass determined by matrix-assisted ultraviolet-laser desorption ionization mass spectrometry of ACP 1 was 9315 Da, whereas further heterogeneity was observed for ACP 2 with molecular masses of 8598 and 8703 Da. Aminoterminal sequencing was performed showing a high homology in the primary structures of ACP 1 and ACP 2. Both isoforms were present in the embryo, whereas in the chloroplast-containing seed coat ACP 2 was found in minute amounts, if at all. The expression of ACP 2 correlated with the production of capric acid during the phase of storage-lipid accumulation. These data indicate that ACP 2 is part of the machinery for the synthesis of medium-chain fatty acids, whereas ACP 1 appears to be a constitutive protein.

Acyl Carrier Proteins from Developing Seeds of Cuphea-Lanceolata Ait

The emission of volatiles is a common, but mostly neglected, ability of bacteria that is important for inter- and intraspecific interactions. Currently, limited information is available on how the bacterial volatile (mVOC) signal is integrated into a plant's life at the physiological, transcriptional and metabolic level. Previous results provided evidence for volatile-dependent regulation of WRKY18, a pathogen-responsive transcription factor of Arabidopsis thaliana in co-culture with two rhizobacteria, Serratia plymuthica HRO-C48 and Stenotrophomonas maltophilia R3089. Dual cultures of these bacteria and A. thaliana; application of the common mVOC 2-phenyl-ethanol; extraction of metabolites of A. thaliana after exposure to bacterial volatiles; and analysis of the metabolomes (GC-TOF/MS) were carried out. The prominent microbial aromatic compound 2-phenyl-ethanol, emitted by both bacteria, negatively affects growth of A. thaliana wild type, whereas WRKY18 T-DNA insertion mutants were significantly more tolerant than wild-type seedlings. This paper also demonstrates for the first time the impact of the rhizobacterial volatiles on the metabolome of A. thaliana. Upon mVOC exposure the plants rearrange their metabolism by accumulation of e.g. amino acids and TCA intermediates that potentially allow plants to cope with and survive this stress. Our findings illustrate the high degree of complexity of metabolic rearrangements underlying the interactions of bacterial volatile elicitors and resulting plant responses. Furthermore, the impact of the volatile 2-phenyl-ethanol as a signal in the WRKY18-dependent pathway highlights this compound as an important molecular player.

Volatiles of rhizobacteria Serratia and Stenotrophomonas alter growth and metabolite composition of Arabidopsis thaliana.

The arbuscular mycorrhizal symbiosis is characterized by the presence of different symbiotic structures and stages within a root system. Therefore tools allowing the analysis of molecular changes at a cellular level are required to reveal insight into arbuscular mycorrhizal (AM) symbiosis development and functioning. Here we describe the analysis of metabolite pools in arbuscule-containing cells, which are the site of nutrient transfer between AM fungus and host plant. Laser capture microdissection (LCM) combined with gas chromatography mass spectrometry (GC-EI/TOF-MS) enabled the analysis of primary metabolite levels,which might be of plant or fungal origin, within these cells. High levels of the amino acids, aspartate, asparagine, glutamate, and glutamine, were observed in arbuscule-containing cells. Elevated amounts of sucrose and the steady-state of hexose levels indicated a direct assimilation of monosaccharides by the fungal partner.

/pdf/symbiosis-dependent-accumulation-of-primary-metabolites-in-1g2te6h9bv.pdf

Symbiosis dependent accumulation of primary metabolites in arbuscule-containing cells

Grapevine (Vitis vinifera) berries are extremely sensitive to infection by the biotrophic pathogen Erysiphe necator, causing powdery mildew disease with deleterious effects on grape and wine quality. The combined analysis of the transcriptome and metabolome associated with this common fungal infection has not been previously carried out in any fruit. In order to identify the molecular, hormonal, and metabolic mechanisms associated with infection, healthy and naturally infected V. vinifera cv. Carignan berries were collected at two developmental stages: late green (EL33) and early veraison (EL35). RNA sequencing combined with GC-electron impact ionization time-of-flight MS, GC-electron impact ionization/quadrupole MS, and LC-tandem MS analyses revealed that powdery mildew-susceptible grape berries were able to activate defensive mechanisms with the involvement of salicylic acid and jasmonates and to accumulate defense-associated metabolites (e.g. phenylpropanoids, fatty acids). The defensive strategies also indicated organ-specific responses, namely the activation of fatty acid biosynthesis. However, defense responses were not enough to restrict fungal growth. The fungal metabolic program during infection involves secretion of effectors related to effector-triggered susceptibility, carbohydrate-active enzymes and activation of sugar, fatty acid, and nitrogen uptake, and could be under epigenetic regulation. This study also identified potential metabolic biomarkers such as gallic, eicosanoic, and docosanoic acids and resveratrol, which can be used to monitor early stages of infection.

/pdf/transcriptional-hormonal-and-metabolic-changes-in-4a6pdnkvfk.pdf

Joachim Kopka

Papers

Plant chromatin, metabolism and development - an intricate crosstalk.

Acyl Carrier Proteins from Developing Seeds of Cuphea-Lanceolata Ait

Volatiles of rhizobacteria Serratia and Stenotrophomonas alter growth and metabolite composition of Arabidopsis thaliana.

Symbiosis dependent accumulation of primary metabolites in arbuscule-containing cells

Transcriptional, hormonal, and metabolic changes in susceptible grape berries under powdery mildew infection.