我国动物地理学研究的前景─—方法论探讨

本文着重从方法论的角度探讨在新形势下我国动物地理学的前景，提出建立两类资料地图──动物学资料图（ Ｚｏｏｌｏｇｉｃａｌ　ｉｎｆｏｒｍａｔｉｏｎ　ｍａｐ）和地理学资料图（Ｇｅｏｇｒａｐｈｉｃａｌ ｉｎｆｏｒｍａｔｉｏｎ ｍａｐ），以比较地理学分析法（Ｃｏｍｐａｒａｔｉｖｅ ｇｅｏｇｒａｐｈｉｃａｌ ａｎａｌｙｓｉｓ），进行不同时空尺度的研究，并建议了在最近时期内应优先选择开展研究的关键性地区及其中心问题。     

Mapping QTLs controlling fruit quality in peach (Prunus persica (L.) Batsch)

 The organoleptic quality of fleshy fruits is in a large part defined by their composition of soluble sugars and organic acids. An F₂ population issuing from a cross between two peach varieties, ‘Ferjalou Jalousia’, a non-acid peach, and ‘Fantasia’, an acid nectarine, was analysed over 2 successive years for agronomic characters and for molecular-marker (isoenzymes, RFLPs, RAPDs, IMAs and AFLPs) segregations. Blooming and maturity dates, as well as productivity, were noted for each tree. Four fruits per tree were analysed at maturity for fresh weight, colour, pH, titratable acidity, soluble-solids content (SSC), acid (malic, citric and quinic acids) and sugar (sucrose, glucose, fructose, sorbitol) contents. QTLs were detected for all fruit components analysed, except for fruit colour. The QTLs for nearly all components were present on two linkage groups. For productivity, fresh weight, pH, quinic acid, sucrose and sorbitol content, all the detected QTLs displayed the same effect as the parental phenotypes. By contrast, for maturity date, titratable acidity, malic and citric acids and fructose, some QTLs displayed the same effect as the parental phenotypes while others displayed the opposite effect. The fraction of the total variation in each trait throughout the population explained by the QTLs was very high and reached more than 90% for some characters. For most of the characters analysed, epistasis was observed between QTLs. Received: 10 October 1997 / Accepted: 18 August 1998     

Glucose-induced period-doubling cascade in the electrical activity of pancreatic β-cells

 In the presence of stimulatory concentrations of glucose, the membrane potential of pancreatic β-cells may experience a transition from periods of rapid spike-like oscillations alternating with a pseudo-steady state to spike-only oscillations. Insulin secretion from β-cells closely correlates the periods of spike-like oscillations. The purpose of this paper is to study the mathematical structure which underlines this transitional stage in a pancreatic β-cell model. It is demonstrated that the transition can be chaotic but becomes more and more regular with increase in glucose. In particular, the system undergoes a reversed period-doubling cascade leading to the spike-only oscillations as the glucose concentration crosses a threshold. The transition interval in glucose concentration is estimated to be extremely small in terms of the rate of change for the calcium dynamics in the β-cells. The methods are based on the theory of unimodal maps and the geometric and asymptotic theories of singular perturbations. Received: 25 October 1996/Revised version: 18 August 1997     

Comparative analysis and development of microsatellite markers on swine (Sus scrofa) chromosome 1qter

Several quantitative trait loci (QTL) have been detected on SSC1qter (Sus scrofa chromosome 1qter), including QTL for the number of vertebrae, as reported in our previous study. To provide the tools for analysis of QTLs on SSC1qter, we constructed a comparative map of swine and human. In addition, we identified 26 swine STSs and mapped 16 of them on SSC1qter using the INRA - University of Minnesota porcine radiation hybrid (IMpRH) panel. We screened a BAC library using these swine STSs and developed 35 new polymorphic microsatellite markers from the BAC clones, of which 26 were informative in our reference family. We also mapped nine microsatellite markers we had isolated previously. Consequently a total of 44 new polymorphic microsatellite markers were located within a 60-cM region of SSC1qter, spanning from SW1092 to the telomere.     

Modelling the distributions of Culicoides bluetongue virus vectors in Sicily in relation to satellite-derived climate variables

Surveillance data from 268 sites in Sicily are used to develop climatic models for prediction of the distribution of the main European bluetongue virus (BTV) vector Culicoides imicola Kieffer (Diptera: Ceratopogonidae) and of potential novel vectors, Culicoides pulicaris Linnaeus, Culicoides obsoletus group Meigen and Culicoides newsteadi Austen. The models containing the 'best' climatic predictors of distribution for each species, were selected from combinations of 40 temporally Fourier-processed remotely sensed variables and altitude at a 1 km spatial resolution using discriminant analysis. Kappa values of around 0.6 for all species models indicated substantial levels of agreement between model predictions and observed data. Whilst the distributions of C. obsoletus group and C. newsteadi were predicted by temperature variables, those of C. pulicaris and C. imicola were determined mainly by normalized difference vegetation index (NDVI), a variable correlated with soil moisture and vegetation biomass and productivity. These models were used to predict species presence in unsampled pixels across Italy and for C. imicola across Europe and North Africa. The predicted continuous presence of C. pulicaris along the appenine mountains, from north to south Italy, suggests BTV transmission may be possible in a large proportion of this region and that seasonal transhumance (seasonal movement of livestock between upland and lowland pastures) even in C. imicola-free areas should not generally be considered safe. The predicted distribution of C. imicola distribution shows substantial agreement with observed surveillance data from Greece and Iberia (including the Balearics) and parts of mainland Italy (Lazio, Tuscany and areas of the Ionian coast) but is generally much more restricted than the observed distribution (in Sardinia, Corsica and Morocco). The low number of presence sites for C. imicola in Sicily meant that only a restricted range of potential C. imicola habitats were included in the training set and that predictions could only be made within this range. Future modelling exercises will use abundance data collected according to a standardized protocol across the Mediterranean and, for Sicily in particular, should include non-climatic environmental variables that may influence breeding site suitability such as soil type.     

Relationships between amino acid sequence and backbone torsion angle preferences

Statistical averages and correlations for backbone torsion angles of chymotrypsin inhibitor 2 are calculated by using the Rotational Isomeric States model of chain statistics. Statistical weights of torsional states of phipsi pairs, needed for the statistics of the full chain, are obtained in two different ways: 1) by using knowledge-based pairwise dependent phipsi energy maps from Protein Data Bank (PDB) and 2) by collecting torsion angle data from a large number of random coil configurations of an all-atom protein model with volume exclusion. Results obtained by using PDB data show strong correlations between adjacent torsion angle pairs belonging to both the same and different residues. These correlations favor the choice of the native-state torsion angles, and they are strongly context dependent, determined by the specific amino acid sequence of the protein. Excluded volume or steric clashes, only, do not introduce context-dependent phipsi correlations into the chain that would affect the choice of native-state torsional angles.     

Protein contact prediction using patterns of correlation

We describe a new method for using neural networks to predict residue contact pairs in a protein. The main inputs to the neural network are a set of 25 measures of correlated mutation between all pairs of residues in two "windows" of size 5 centered on the residues of interest. While the individual pair-wise correlations are a relatively weak predictor of contact, by training the network on windows of correlation the accuracy of prediction is significantly improved. The neural network is trained on a set of 100 proteins and then tested on a disjoint set of 1033 proteins of known structure. An average predictive accuracy of 21.7% is obtained taking the best L/2 predictions for each protein, where L is the sequence length. Taking the best L/10 predictions gives an average accuracy of 30.7%. The predictor is also tested on a set of 59 proteins from the CASP5 experiment. The accuracy is found to be relatively consistent across different sequence lengths, but to vary widely according to the secondary structure. Predictive accuracy is also found to improve by using multiple sequence alignments containing many sequences to calculate the correlations.     

Insight into Trichoderma reesei's genome content, organization and evolution revealed through BAC library characterization

Trichoderma reesei is an important industrial fungus known for its ability to efficiently secrete large quantities of protein as well as its wide variety of biomass degrading enzymes. Past research on this fungus has primarily focused on extending its protein production capabilities, leaving the structure of its 33 Mb genome essentially a mystery. To begin to address these deficiencies and further our knowledge of T. reesei's secretion and cellulolytic potential, we have created a genomic framework for this fungus. We constructed a BAC library containing 9216 clones with an average insert size of 125 kb which provides a coverage of 28 genome equivalents. BAC ends were sequenced and annotated using publicly available software which identified a number of genes not seen in previously sequenced EST datasets. Little evidence was found for repetitive sequence in T. reesei with the exception of several copies of an element with similarity to the Podospora anserina transposon, PAT. Hybridization of 34 genes involved in biomass degradation revealed five groups of co-located genes in the genome. BAC clones were fingerprinted and analyzed using fingerprinted contigs (FPC) software resulting in 334 contigs covering 28 megabases of the genome. The assembly of these FPC contigs was verified by congruence with hybridization results.     

Comparative mapping between<Emphasis Type="Italic"> Medicago sativa</Emphasis> and<Emphasis Type="Italic"> Pisum sativum</Emphasis>

Comparative genome analysis has been performed between alfalfa ( Medicago sativa) and pea ( Pisum sativum), species which represent two closely related tribes of the subfamily Papilionoideae with different basic chromosome numbers. The positions of genes on the most recent linkage map of diploid alfalfa were compared to those of homologous loci on the combined genetic map of pea to analyze the degree of co-linearity between their linkage groups. In addition to using unique genes, analysis of the map positions of multicopy (homologous) genes identified syntenic homologs (characterized by similar positions on the maps) and pinpointed the positions of non-syntenic homologs. The comparison revealed extensive conservation of gene order between alfalfa and pea. However, genetic rearrangements (due to breakage and reunion) were localized which can account for the difference in chromosome number (8 for alfalfa and 7 for pea). Based on these genetic events and our increasing knowledge of the genomic structure of pea, it was concluded that the difference in genome size between the two species (the pea genome is 5- to 10-fold larger than that of alfalfa) is not a consequence of genome duplication in pea. The high degree of synteny observed between pea and Medicago loci makes further map-based cloning of pea genes based on the genome resources now available for M. truncatula a promising strategy.Electronic Supplementary Material Supplementary material is available in the online version of this article at Communicated by W. R. McCombie     

Preliminary Study on Linkage Mapping Based on Microsatellite DNA and AFLP Markers Using Homozygous Clonal Fish in Ayu (<Emphasis Type="Italic">Plecoglossus altivelis</Emphasis>)

A mapping referential family (F₁) of ayu was produced by crossing a normal diploid male with a homozygous clonal female. A genetic linkage map was constructed using 191 amplified fragment length polymorphism (AFLP) and 4 microsatellite DNA markers. A total of 178 loci were mapped in 36 linkage groups comprising 1659.6 cM, which includes approximately 77.3% to 81.8% of the total genome. As the markers were randomly distributed over the genome, they showed high efficiency for the construction of a wide linkage map.