Canonical correlation between groups of acarine,fungal and environmental variables in bulk grain ecosystems

Interrelations among acarine, fungal, and environmental components of bulk grain ecosystems were determined by canonical correlation analyses. Twenty-seven variables were measured monthly in samples collected from 2 identical grain bulks in a granary in Winnipeg during the years 1959–67. The relationships between 9 kinds of arthropods and 6 environ mental variables, and between the same arthropods and 12 kinds of actinomycetes and fungi were examined. The maximum canonical correlation between arthropods and environmental factors was 0.35, and between arthropods and microorganisms was 0.28; both are highly significant (p<0.001). In the first analysis correlations of the variables with the canonical variates revealed that correlations of the variables with the canonical variates revealed that sampling location, depth, and temperature are the primary environmental antecedents involved, and the criterion is primarily composed of mites Tarsonemus spp.,Tydeus interruptus and the psocid, Lepinotus reticulatus. In the second analysis the fungi Nigrospora sphaerica, Aspergillus spp., and Cochliobolus sativus are involved with the mites Cheyletus eruditus and Acarus siro. Generally, the results of these analyses complement the findings of factor and regression analyses of the same data reported earlier.     

Classical biological control in an ephemeral crop habitat with Anticarsia gemmatalis nucleopolyhedrovirus

Anticarsia gemmatalis nucleopolyhedrovirus(AgNPV) was released as a single spray in soybean at two sites in Louisiana, near Crowley and Baton Rouge, after which viral prevalence and population density were monitored for 3--4 years. Each site had a plot with no treatment (control) and two virus-treated plots, one planted with soybean yearly for 3-4 years, and the other planted with soybean for 3-4 years except for rotation to a different crop in year 2. In year 1, the single spray ofAgNPV resulted in viral prevalence rates ranging from 25--100% A. gemmatalis mortality over the entire growing season. By the end of this season, viral accumulation in soil averaged 4.1 ×10⁴ occlusion bodies (OB)/g at Crowley and 7.4× 10³ OB/g at Baton Rouge, which had a sandier soil than Crowley. At Crowley, prevalence of AgNPVreached 49% insect mortality in the unrotated plot in year 2, and 31% in the rotated plot and 38% in the unrotated plot in year 3, in spite of moderate to low population densities of A. gemmatalis. At Baton Rouge, AgNPV prevalence decreased to peak prevalence rates of 25% insect mortality in year 2,4% in year 3, and 11% in year 4, even though A. gemmatalis population densities were moderate in years 2 and 3. Viral concentration in soil decreased to 2.7 × 10² OB/g (rotated plot) and1.4 × 10⁴ OB/g (unrotated plot) by the end of year 3 at Crowley and to 10 OB/g (rotated plot) and31 OB/g (unrotated plot) by the end of year 4 at Baton Rouge. In forward stepwise multiple regressions, the concentration of OB in soil was significantly (p = 0.0001) and positively correlated with AgNPV prevalence, but correlations of the latter parameter with host population density and rainfall were not significant (p > 0.05). Prevalence rates of the fungal entomopathogen Nomuraea rileyi were significantly (p < 0.01) and negatively correlated with AgNPV prevalence at Crowley but not in the combined data set. Prevalence of N. rileyi was negatively correlated (p = 0.0001) with precipitation and positively correlated (p = 0.0001) with A.gemmatalis population density. The research demonstrated that AgNPV can be introduced and established for long-term suppression of A.gemmatalis in an ephemeral crop habitat, but certain site-related conditions, perhaps relating to soil, are necessary for its continued success. This revised version was published online in July 2006 with corrections to the Cover Date.     

An Improved Class of Estimators for Finite Population Mean in Sample Surveys

This paper proposes a class of estimators for estimating the finite population mean -Y of a study variate y using information on two auxiliary variates, one of which is positively and the other negatively correlated with the study variate y. An “asymptotically optimum estimator” (AOE) in the class is identified with its bias and mean square error formulae. It is observed that the proposed AOE is more efficient than Srivastava (1965), Srivastava (1974), Prasad (1989) and Gandge , Varghese , and Prabhu-Ajgaonkar (1993) estimators.     

Population dynamics of stored-product mites

Summary Population fluctuation patterns were determined during 1959–70 in wheat bulks in 2 granaries typical of those used on Manitoba farms for 7 kinds of mites. The patterns were bradly similar in the 2 granaries. Outbreaks of all mites except Tarsonemus granarius and Aëroglyphus robustus were unaffected by the prolonged storage of grain; those of Acarus siro and Cheyletus eruditus occurred in unusually high numbers periodically every 2–5 years, whereas Glycyphagus destructor and Androlaelaps casalis were present in relatively low numbers from the first year of storage. A rise in T. granarius population corresponded with grain age and the succession of microfloral species. Tydeid mites occurred periodically.Pricipal component analyses of up to 26 variates including various fungal species on one grain bulk ecosystem provided a kaleidoscopic view of interrelations and dynamics of acarine populations in the grain bulks. The combination of correlated variates of which mites are a part, varied from year to year.Four factors that regulate acarine numbers, particularly those of A. siro and its natural predator C. eruditus, were identified. These are: (i) basic determinants (moisture, temperature, food, and the intrinsic rate of increase of the species); (ii) the main regulator (temperature); (iii) influencers (seed cracks, microflora, dockage, etc.); and (iv) seasonal and cyclic regulators (seasonality in temperature and several density-dependent factors). Generalized diagrams of prey-predator interactions and multivariate interrelations of each kind of mite are presented.Contribution no. 568 from Research Station, Agriculture Canada, Winnipeg, Canada. Invitation paper presented by the first author at the Joint Annual Meeting of the Entomological Societies of America, Canada, and Quebec, Montreal, Quebec, on 26 November 1972     

Actin crosslinking protein EF-1a of Dictyostelium discoideum has a unique bonding rule that allows square-packed bundles.

The elongation factor 1a (EF-1a) of Dictyostelium discoideum is an actin crosslinking protein that gives rise to a unique kind of actin bundle. Purified actin and EF-1a were allowed to form bundles and then were characterized by electron microscopy, computed diffraction analysis, and modeling. In these bundles crosslinked actin filaments are rotated by 90 degrees relative to each other, whereas other known crosslinking proteins require filaments to be unrotated. Bundles of actin EF-1a would tend to exclude other actin bundling proteins. EF-1a can thus regulate the state of the actin cytoskeleton as well as regulate protein synthesis.     

Assessing the affinities of fossils using canonical variates and generalized distances

Canonical variate analysis and generalized distances are commonly used multivariate statistical techniques for assessing the comparative morphology of living and fossil primates. Some common pitfalls of these methods when used to analyze fossil specimens are: (1) ignoring the possibility that a fossil belongs to a group other than one of the predefined reference samples (i.e., restricted versus unrestricted approaches to classification), (2) misinterpreting probabilities of group membership (i.e., posterior versus typicality probabilities), and (3) failing to understand how sample sizes influence multivariate ordinations in trying to effectively illustrate the morphometric affinities of a fossil (i.e., weighted versus unweighted analyses with fossils entered indirectly or directly into the analysis). To better understand canonincal variate analysis and generalized distances, the workings of these methods are portrayed graphically as a series of rotations and rescaling of data plotted in a multivariate data space. The influence of sample sizes and the importance of higher-numberer canonical variates are emphasized. Simple examples taken from the literature illustrate how the different approaches to including a fosil in canonical variate analysis may affect the multivariate results upon which physical anthropologists base their interpretations of the fossil's morphology.     

Multivariate analysis of vegetational variation in different habitats at Omayed,Egypt

The application of indicator species analysis has proved useful in classifying stands into groupings coinciding with topographic variations. 41 indicator pseudo-species are identified in the vegetation along a phytosociological gradient: some are characteristic of specific habitats, and the others indicate transition between groups of habitats.The use of qualitative estimations (transformed density records) in multivariate analysis in the present study indicates that they may be more preferable than quantitative estimations, because of their easy and fast recording in the field, and the less comprehensive computations, while yielding precise results.The X-axis of the reciprocal averaging ordination is related to the salinity and fertility gradients, while the Y-axis reflects soil texture.The phytosociological gradients of the canonical variate axes reflect essentially contrasts between groups of species, each correlated with one or the other of the environmental gradients.Comparing the results obtained by the two ordination methods (reciprocal averaging and canonical variates) we find that the first method detects the overall phytosociological changes along strong environmental gradients which would be helpful in studying large surveys. On the other hand, the second technique, which is mainly predictive, is more sensitive to changes within both the phytosociological and environmental gradients and can detect the impact of these changes on the overall variance of each gradient.Nomenclature follows Täckholm (1964).The authors are grateful to Dr J. Jeffers and Mr and Mrs P. Howard of the Institute of Terrestrial Ecology, England, for their help with applying the multivariate techniques to the vegetation data.     

Climate in relation to deterioration of stored grain

Summary A hypothesis elucidating the basic relationship between abiotic climatic variates and the deterioration of stored grain by biotic agents was developed for the 41 crop districts in the Prairie Provinces of Canada. Principal component (7 variates measured) and canonical correlation (6 variates measured) analyses were applied to data from each of the 3 crop years (1967–1969), for each of the 3 principal component analyses and for each of the 3 canonical correlation analyses. The data consisted of crop district means of infestation reports from 2522 managers of grain elevators and also of representative meteorological observations from each crop district. The major variates measured were the number of reports of: hot spots, infestations of a) fungus beetles and mites, and b) Cryptolestes ferrugineus (Stephens), and grain fumigants. The climatic variates consisted of mean temperature, precipitation, and number of days above 20° C (68° F) for July, August and September. Three major components, which together explained 64–80% of the variation, indicated broadly similar trends in all analyses. The first component indicated that lower mean temperatures and larger numbers of cool days increased the incidence of fungus-induced hot spots in wet harvested grain. The second component indicated the extent of arthropod infestations: warmer weather increased C. ferrugineus infestation, whereas cooler weather increased infestation by mites and secondary insect species. The third component was a measure of precipitation. Canonical correlation analyses based on 1967 and 1969 data yielded canonical roots that were statistically insignificant at the 1% level. Analyses of 3 external abiotic and 3 biotic response variates based on 1968 data showed that only the first pair of canonical variates was significant, the degree of predictability (R _c ² ) being 56% (P<0.01). The analyses revealed that lower temperatures, a greater number of cool days, and higher precipitation increased the number of hot spots in 1968 confirming the findings of the principal component analyses. The pattern of hot spot development in relation to climatic characteristics was similar in all crop districts for all years examined. There was a linear relationship between climatic and biotic variates for all these crop districts but the degree of relationship varied geographically. The first and second principal component values for each crop district were ranked and plotted on a climatic map of the Prairie Provinces. The ranking showed that the incidence of hot spots and arthropod infestations was highest in the Sub-boreal and Humid southeastern regions, whereas the incidence was lowest in the Dry Belt region. C. ferrugineus was most common in the Humid southeastern region.Contribution No. 522 from Canada Department of Agriculture, Research Station, Winnipeg, Manitoba, R3T 2M9, Canada.     

Canonical correlation analysis of abiotic and biotic variates in insect-infested grain bulks

Summary The impact of insect infestation on several biotic and abiotic variates in 3 small bulk-wheat ecosystems was studied by measuring these variates at monthly intervals during 1969–1970. One ecosystem was insect-free, the second was artificially infested with Cryptolestes ferrugineus and Oryzaephilus surinamensis, and the third with Sitophilus granarius and Tribolium castaneum. The relationships between 8 environmental and 8 entomological and microbial variates were examined by canonical correlation analyses. The degree of predictability (R _c ² ) of the first pair of canonical variates in the 3 ecosystems ranged from 80% to 95%. The first 2 pairs of canonical variates were highly significant in all 3 analyses (P<0.01). In the insect-free ecosystems the canonical variates revealed that temperature and the period of storage were the primary environmental antecedents involved and the criterion was composed primarily of the field fungus Alternaria and the storage fungus Aspergillus. In the second ecosystem uric acid level in the grain bulk was an additional environmental factor that affected the population of both species of insects and 3 kinds of fungi Altrnaria, Aspergillus, and Penicillium. In the third ecosystem temperature, time, uric acid and moisture interacted collectively, with density of insect populations, reduction of Alternaria, and increase of Aspergillus.Contribution No. 502 from Research Station, Canada Department of Agriculture, Winnipeg, Canada. Based partly on a paper presented at the Annual Meeting of the Ecological Society of America, Chicago, Illinois, U.S.A., on 28 December, 1970.     

Multivariate analyses of Canadian and Japanese populations ofGlycyphagus destructor (Schrank) (Acarina,Glycyphagidae)

Summary Two multivariate statistical procedures were used to determine the basic trends of morphologic and geographic variations between males of a common stored-grain mite,Glycyphagus destructor (Schrank) collected from Canada and Japan. All analyses were carried out on physical measurements of 25 morphological features. Three principal component analyses bases on the Canadian (50 specimens), Japanese (50 specimens) and the combined populations from the 2 countries (100 specimens) revealed that the first component, accounting for 40% of the variability in all 3 solutions represented a measure of the morphologic dimension of the body. The second component, which explained over 18% of the variability, is a measure of the leg dimension. Smaller clusters of variates characteristic of the population from each county were also evident. Discriminant analysis, performed with the Canadian and Japanese populations, identified the variates that differed between the 2 populations and provided an approximate appraisal of interrelations. The general conclusion based on these analyses is that the Canadian and the Japanese populations are morphologically distinct. The difference is most evident in the diameters of genu 2, lengths of the sensory seta W_I, lengths of the body, and the distances between the vertical external setae. Contribution No. 446, from Research Station, Canada Department of Agriculture, Winnipeg, Manitoba, Canada.     

Structures and dynamics of hibernating ribosomes from Staphylococcus aureus mediated by intermolecular interactions of HPF

In bacteria, ribosomal hibernation shuts down translation as a response to stress, through reversible binding of stress‐induced proteins to ribosomes. This process typically involves the formation of 100S ribosome dimers. Here, we present the structures of hibernating ribosomes from human pathogen Staphylococcus aureus containing a long variant of the hibernation‐promoting factor (SaHPF) that we solved using cryo‐electron microscopy. Our reconstructions reveal that the N‐terminal domain (NTD) of SaHPF binds to the 30S subunit as observed for shorter variants of HPF in other species. The C‐terminal domain (CTD) of SaHPF protrudes out of each ribosome in order to mediate dimerization. Using NMR, we characterized the interactions at the CTD‐dimer interface. Secondary interactions are provided by helix 26 of the 16S ribosomal RNA. We also show that ribosomes in the 100S particle adopt both rotated and unrotated conformations. Overall, our work illustrates a specific mode of ribosome dimerization by long HPF, a finding that may help improve the selectivity of antimicrobials.     

Multivariate analysis of craniofacial measurements in twin and family data

Thirty-three cephalometric variables and height have been measured on each of 630 individuals (316 male and 314 female) from 157 families. After age and sex differences were adjusted for each measurement, a rotated factor analysis was undertaken to account for the variation by a limited number of linear combinations of the adjusted measurements. It was found that most of the variation could be explained by nine independent factors. Finally, correlation coefficients were computed on twins, siblings and parent-offspring data for factor scores. The results suggest that each factor which is measured by a linear combination of a set of variables could result from the interaction of independent sets of genes with the environment.     

Gram-Schmidt Orthogonalization of Multinormal Variates: Applications in Genetics

The computation of an N-variate normal density function requires the inversion of an N × N co-variance matrix. Furthermore, if each mean depends on u unobservable factors, a mixture of u^N N-variate normal densities must be computed, making likelihood calculations impractical even for moderate N. The Gram-Schmidt orthogonalization process is used to express a multinormal density as a product of univariate normal densities. When the pattern of the correlation matrix is taken into account the formulas may be considerably simplified. In some cases each of the orthogonal variates can be written as a linear combination of only a few of the original variates. Such results are crucial for applications of multinormal distributions and of mixtures of multinormal distributions. An intraclass correlation model and a genetic variance components model applicable to family data are discussed as examples.     

Field relationships between scytonemin density,growth, and irradiance in cyanobacteria occurring in low illumination regimes

In situ measurements of ultraviolet (UV) irradiance, carbon fixation, and scytonemin pigmentation were made on Scytonema populations from contrasting localities in England. Significant negative correlations were obtained between the following variate pairs: pigmentation and UV irradiance; pigmentation and carbon fixation rate. A significant positive correlation was found between pigmentation and sheath thickness.The negative correlation between pigmentation and UV irradiance was unexpected and appeared contrary to the results of previous studies, which indicated a positive correlation between the variates and the recognition of scytonemin as a radiation shield. However, by considering how radiation damage is related to cell division and the water relations of the sites investigated, it was shown that scytonemin is still functioning as a radiation shield, even in shaded sites. Rivularia colonies produced scytonemin only upon their upper, sun-exposed surfaces and were positively correlated with UV irradiance. This paper also describes the successful use of some new and inexpensive techniques to measure pigments in cyanobacterium sheaths, and integrated in situ UV-irradiance.     

三峡库区古夫河着生藻类分布与水质因子的关系

于2010年12月至2011年12月,对位于长江三峡库区内的湖北省兴山县古夫河着生的藻类和水体共采样10次,共鉴定出着生藻类28属,检测水质指标12项。对水质变量进行因子分析,根据特征值大于1的原则选取4个主成分,第一主成分主要代表总氮（TN）和硝酸盐氮（NO3--N）,第二主成分主要代表pH和化学需氧量（CODCr）,第三主成分主要代表磷酸盐磷（PO34--P）、总磷（TP）和氨氮（NH4＋-N）,第四主成分主要代表电导率（Cond）和总有机碳（TOC）。将提取的9项主要水质因子与着生藻类重要属进行典型对应分析（CCA）,结果可见,古夫河主要水质因子与着生藻类类群分布相关性大小为：CODCr〉pH〉TN〉NO3--N〉TOC〉TP〉PO34--P〉Cond〉NH4＋-N。Monte Carlo显著性检验表明,CODCr和pH对古夫河着生藻类物种组成及空间分布的影响最大,其次为TN、NO3--N和TOC。pH与CODCr呈极强的负相关关系,古夫河着生藻类大多数类群均与CODCr表现出正相关关系,仅胶毛藻属（Chaetophora）倾向低CODcr和偏碱性的环境。TN和NO3--N有很强正相关性,而两者均与TOC有强负相关,它们将古夫河着生藻类大体上分为两类,即亲碳元素的类群和亲氮元素的类群。TP通常是河流生态系统中的限制性营养因子,但在古夫河流域中并不是影响着生藻类物种分布的主要水质因子。     

A biotic index using benthic macroinvertebrates for Italian lakes

The relationship between benthic macroinvertebrates and environmental variables from 42 Italian lakes were analysed with the aim of developing a biotic index.In the investigated lakes, 570 species were found of which 373 belonged to the family of Chironomidae and 85 to the class of oligochaeta. Rare species, those present in less than 10 samples, were excluded from the analysis, leaving 57 species for data analysis.Multivariate analysis: canonical correlation analysis (CANON) and multivariate analysis of variance and covariance (MANCOVA) were carried out on a large database of 1060 sampling points, for which both environmental data (16 chemical and morphometric variables) and 57 species counts from soft bottom samples were available. In addition, a second dataset of 94 sites from small lakes sampled in 2005 in Northern Italy (Lombardy), was analysed for comparison.The data analysis (CANON) from the large database gave the following results:

• (1)the first canonical variate was related to conductivity, pH and alkalinity and accounted for 17% of the total variation;
• (2)the second canonical variate was related to total phosphorus, N-NH₄ and dissolved oxygen, and accounted for 15% of the total variation;
• (3)lake maximum depth, volume and water temperature were related to the third canonical variate, which accounted for 14% of the source of variation.

The analysis of the database from small lakes revealed that in the plane of the first two canonical variates dissolved oxygen was inversely correlated with the depth of sampling and that the second canonical variate showed an inverse relationship between transparency and nutrients.MANCOVA found evidence for differences between lake types and sampling years, confirmed the CANON results and allowed the quantification of the contribution of different target variables on species composition.A trophic status index was calculated ranking percentage oxygen saturation (O₂ %sat), transparency (transp) and total phosphorus (TP). The means of O₂ %sat, transp and TP weighted by the species abundances were calculated to have optimum values for each species; a benthic quality index was then obtained by multiplying the weighted means of O₂ %sat, transp and TP by species abundances and dividing the product by the total number of specimens present at each station. A significant correlation was observed between trophic status and the benthic quality index. A good agreement was also observed between the indexes calculated using the large database and the second dataset on small lakes.     

Anatomical wood variation of Buddleja cordata (Buddlejaceae) along its natural range in Mexico

Buddleja cordata is an evergreen species of wide distribution in Mexico that is represented by shrubs and trees. Wood variability of B. cordata was evaluated in relation to plant size as well as latitude, altitude, soils, and climatic data. Canonical correlation analysis (CCA) showed that two canonical correlations are significant (Wilks' λ, p<0.0001) and explained 76% of total variance. Redundancy analysis revealed that the first pair of canonical variates are significant, thus the canonical variate, named distribution, represents a gradient of maximum temperature of the warmest period, annual temperature range, and latitude in its area of distribution; whereas the canonical variate named wood represents vessel density, fiber length, and plant size, best associated to the environmental gradient. Vessel density expressed by its distribution in latewood and porosity type showed that ring-porosity is common in individuals from high latitudes. Temperatures below zero or lack of rainfall during several months might induce porosity variability in B. cordata as suggested by CCA, but was not related to phenology since the species is evergreen along its latitudinal range. Plant size was also influenced by extreme temperature and rainfall. Shorter plants are distributed in the northern population or driest sites located in north-central Mexico, and in addition, fiber length followed an allometric relation with individuals' height. Wood characters in B. cordata as for simple perforation plate, helical thickenings, type of intervascular and vessel-ray pits, scanty paratracheal parenchyma, and heterogeneous type IIB rays were not correlated with plant size, climate, and soil parameters or species distribution. These features are common with other species of Buddleja.An erratum to this article can be found at     

应用因子分析法研究茎瘤芥(榨菜)性状间的关系

应用因子分析法可把23份茎瘤芥品种资源的15个数量性状集约在5个主因子上,采用正交因子和斜交因子模型分析了性状间的遗传作用关系,并探讨了各因子间的关系及其生物学意义。