[Population dynamics, the development of agricultural systems, and agricultural production in the densely populated rural areas of Cameroon].
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Africa↗
SEARCH · PubMed Health
Results for “population dynamics”
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Bromus species in winter wheat-population dynamics and competitiveness.
The infestation of Bromus species in small grains, especially in winter cereals has increased over recent years. In some areas winter wheat growers consider Bromus spp. as their worst grass weed. Besides yield reduction, Bromus spp. cause lodging and complication of harvest. In Germany the two most dominant species are Bromus sterilis (L.) and Bromus secalinus (L.). In order to develop control strategies the population dynamics of the weeds were investigated. Based on the results a deterministic mathematical model using differential and algebraic equations was used to estimate changes in the population of the two Bromus species.
Agriculture↗
Geotrichum candidum dominates in yeast population dynamics in Livarot, a French red-smear cheese.
The diversity and dynamics of yeast populations in four batches of Livarot cheese at three points of ripening were determined. Nine different species were identified by Fourier transform infrared spectroscopy and/or sequencing, and each batch had its own unique yeast community. A real-time PCR method was developed to quantify the four main yeast species: Debaryomyces hansenii, Geotrichum candidum, Kluyveromyces sp. and Yarrowia lipolytica. Culture and molecular approaches showed that G. candidum was the dominant yeast in Livarot cheese. When D. hansenii was added as a commercial strain, it codominated with G. candidum. Kluyveromyces lactis was present only at the start of ripening. Yarrowia lipolytica appeared primarily at the end of ripening. We propose a scheme for the roles and dynamics of the principal Livarot yeasts.
Ascomycota↗
Population dynamics of microfilarial production and eosinophilic levels in slow lorises infected with Breinlia sergenti. Petter (Filarioidea: Dipetalonematidae).
Population dynamics of microfilarial production and eosinophilic levels in slow lorises infected with Breinlia sergenti, Petter (Filarioidea: Dipetalonematidae). International Journal for Parsitology 4: 383388. Observations have been made on microfilarial and eosinophilic levels in slow lorises infected with Breinlia sergenti. Animals given a single inoculation of 100-150 infective larvae exhibited three different patterns of microfilaraemia while superinfected animals showed enhanced microfilarial levels. It appeared that the number of inoculations as well as the interval between inocula are important factors in enhancing microfilarial levels. Two different types of incubation periods were seen, one at 100-120 days and the other at 200 days. The eosinophilic levels were investigated in some of the animals and an attempt was made to correlate these levels with the microfilaraemia. Cortisone injection appeared to promote a vigorous eosinophilia in some of the infected animals tested.
Animals↗
Mitochondrial mutations, cellular instability and ageing: modelling the population dynamics of mitochondria.
All eukaryotic cells rely on mitochondrial respiration as their major source of metabolic energy (ATP). However, the mitochondria are also the main cellular source of oxygen radicals and the mutation rate of mtDNA is much higher than for chromosomal DNA. Damage to mtDNA is of great importance because it will often impair cellular energy production. However, damaged mitochondria can still replicate because the enzymes for mitochondrial replication are encoded entirely in the cell nucleus. For these reasons, it has been suggested that accumulation of defective mitochondria may be an important contributor to loss of cellular homoeostasis underlying the ageing process. We describe a mathematical model which treats the dynamics of a population of mitochondria subject to radical-induced DNA mutations. The model confirms the existence of an upper threshold level for mutations beyond which the mitochondrial population collapses. This threshold depends strongly on the division rate of the mitochondria. The model also reproduces and explains (i) the decrease in mitochondrial population with age, (ii) the increase in the fraction of damaged mitochondria in old cells, (iii) the increase in radical production per mitochondrion, and (iv) the decrease in ATP production per mitochondrion.
Aging↗
Population dynamics of type I and II methanotrophic bacteria in rice soils.
Methane-oxidizing bacteria (methanotrophs) consume a significant but variable fraction of greenhouse-active methane gas produced in wetlands and rice paddies before it can be emitted to the atmosphere. Temporal and spatial dynamics of methanotroph populations in California rice paddies were quantified using phospholipid biomarker analyses in order to evaluate the relative importance of type I and type II methanotrophs with depth and in relation to rice roots. Methanotroph population fluctuations occurred primarily within the top 0-2 cm of soil, where methanotroph cells increased by a factor of 3-5 over the flooded rice-growing season. The results indicate that rice roots and rhizospheres were less important than the soil-water interface in supporting methanotroph growth. Both type I and type II methanotrophs were abundant throughout the year. However, only type II populations were strongly correlated with soil porewater methane concentrations and rice growth.
Carbon Radioisotopes↗
Hepatitis C virus population dynamics in human lymphocytes and hepatocytes infected in vitro.
We previously found two cell lines (MT-2 and PH5CH) that were susceptible to hepatitis C virus (HCV) infection. Analysis of the infectivity of sera from HCV-positive blood donors for MT-2 and PH5CH cells suggested the cell tropism of HCV. To investigate further the cell tropism of HCV, the dynamics of HCV populations during culture were examined using three MT-2 clones and three PH5CH clones, infected with inoculum 1B-2. To type HCV populations in these infected cells, the HCV hypervariable region 1 (HVR1) in these cloned cells was characterized by sequence analysis and HpaII digestion analysis, which could distinguish three major HVR1 types (I, II and III) derived from the inoculum 1B-2. It was found that genomes containing HVR1 type I became predominant in MT-2 clones, and genomes containing HVR1 type II became predominant in PH5CH clones during culture after inoculation. These results suggest that inoculum 1B-2 contains both lymphotropic and hepatotropic HCV species, which can be distinguished by HVR1 type. To search for cell type-specific sequences in regions other than HVR1, three HCV cDNA clones (3.4 kb of the 5' noncoding region to the nonstructural 2 region) containing HVR1 type I obtained from HCV-infected MT-2C cells, and three HCV cDNA clones containing HVR1 type II obtained from HCV-infected PH5CH7 cells were sequenced. Following a comparison of the sequences, 11 amino acids were identified as candidates for determinants of the cell tropism of HCV.
Amino Acid Sequence↗
Social welfare as a variable in population dynamics.
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Humans↗
A population dynamic approach to evaluating the impact of school attendance on the unit cost and effectiveness of school-based schistosomiasis chemotherapy programmes.
This paper presents a first attempt at modelling the possible cost and effectiveness of reaching non-enrolled children through school-based programmes using empirical data from Egypt. A sex/school-attendance/age-structured population dynamic model was used to predict trends in infection and early disease. Four treatment delivery strategies were compared: school-based (coverage of 85 %) and school-aged targeted (coverage of 25, 50 and 85 %). The school-aged targeted strategies also included the school-based programme. For each alternative strategy, the maximum unit cost was calculated to obtain a cost-effectiveness ratio equal or smaller to the one obtained with the school-based programme (unit cost of US$ 0.60). The analysis showed that, for S. mansoni in Lower Egypt, a programme where only 85% of children attending school were treated would still prevent 77 % of the early disease cases prevented with a programme where 85 % of all school-age children were treated. However, using the school-aged targeted strategy, from US $ 0.06 to US $ 1.03 extra unit costs could be spent to reach non-enrolled children and still be more cost-effective. Treating non-enrolled children is an important consideration in maximizing the effectiveness of treatment programmes while maintaining a cost-effectiveness comparable to school-based delivery.
Adolescent↗
Yeast population dynamics during the fermentation and biological aging of sherry wines.
Molecular and physiological analyses were used to study the evolution of the yeast population, from alcoholic fermentation to biological aging in the process of "fino" sherry wine making. The four races of "flor" Saccharomyces cerevisiae (beticus, cheresiensis, montuliensis, and rouxii) exhibited identical restriction patterns for the region spanning the internal transcribed spacers 1 and 2 (ITS-1 and ITS-2) and the 5.8S rRNA gene, but this pattern was different, from those exhibited by non-flor S. cerevisiae strains. This flor-specific pattern was detected only after wines were fortified, never during alcoholic fermentation, and all the strains isolated from the velum exhibited the typical flor yeast pattern. By restriction fragment length polymorphism of mitochondrial DNA and karyotyping, we showed that (i) the native strain is better adapted to fermentation conditions than commercial strains; (ii) two different populations of S. cerevisiae strains are involved in the process of elaboration, of fino sherry wine, one of which is responsible for must fermentation and the other, for wine aging; and (iii) one strain was dominant in the flor population integrating the velum from sherry wines produced in González Byass wineries, although other authors have described a succession of races of flor S. cerevisiae during wine aging. Analyzing all these results together, we conclude that yeast population dynamics during biological aging is a complex phenomenon and differences between yeast populations from different wineries can be observed.
DNA, Bacterial↗
Yeast population dynamics in spontaneous fermentations: comparison between two different wine-producing areas over a period of three years.
Yeast ecology, biogeography and biodiversity are important and interesting topics of research. The population dynamics of yeasts in several cellars of two Spanish wine-producing regions was analysed for three consecutive years (1996 to 1998). No yeast starter cultures had been used in these wineries which therefore provided an ideal winemaking environment to investigate the dynamics of grape-related indigenous yeast populations. Non-Saccharomyces yeast species were identified by RFLPs of their rDNA, while Saccharomyces species and strains were identified by RFLPs of their mtDNA. This study confirmed the findings of other reports that non-Saccharomyces species were limited to the early stages of fermentation whilst Saccharomyces dominated towards the end of the alcoholic fermentation. However, significant differences were found with previous studies, such as the survival of non-Saccharomyces species in stages with high alcohol content and a large variability of Saccharomyces strains (a total of 112, all of them identified as Saccharomyces cerevisiae) with no clear predominance of any strain throughout all the fermentation, probably related to the absence of killer phenotype and lack of previous inoculation with commercial strains.
DNA, Mitochondrial↗
Population dynamics of tuberculosis treatment: mathematical models of the roles of non-compliance and bacterial heterogeneity in the evolution of drug resistance.
SETTING: Patient non-compliance and/or spatial heterogeneity in drug concentration or effectiveness may contribute to the emergence of drug resistance during multiple-drug chemotherapy of tuberculosis. OBJECTIVE: Using mathematical models of mycobacterial population dynamics under antimicrobial treatment, to assess the effects of non-compliance, heterogeneity and other factors on the success of treatment. DESIGN: A mathematical model is used to generate predictions about the ascent of drug resistance in treated hosts with non-compliance and/or a 'protected compartment' of bacteria where only one drug is active; simulations of a more realistic version of this model take into account random mutation, and different assumptions about the size of, and growth rate of bacteria in, the protected compartment. RESULTS: The existence of a protected compartment can increase the likelihood of resistance to the single drug active in that compartment, but only if bacteria resistant to that drug can grow in the protected compartment or if the host is non-adherent to the treatment regimen. However, the protected compartment may also slow the ascent of bacteria resistant to drugs not active in it (e.g. isoniazid) by providing a reservoir of non-selected mycobacteria. The model predicts that relative rates of killing are more important than mutation rates in determining the order in which resistant mutants ascend. Model predictions, in combination with data about drug resistance patterns, suggest that non-compliance, but not heterogeneity, is an important cause of treatment failure. CONCLUSION: Patterns of acquired drug resistance may be used to infer processes of selection during treatment; mathematical models can aid in generating predictions about the relative impacts of treatment parameters in the evolution of resistance, and eventually in suggesting improved treatment protocols.
Antitubercular Agents↗
Population dynamics of Cacopsylla melanoneura (Homoptera: Psyllidae), a vector of apple proliferation phytoplasma in northwestern Italy.
Apple proliferation is a phytoplasma-associated disease transmitted by insects causing serious damage and economic losses to apple orchards. Investigations were carried out in 1999 and 2000 in northwestern Italy to identify the vector of apple proliferation and to study its population dynamics. Yellow sticky traps and beat tray samples revealed the presence of the psyllid Cacopsylla melanoneura (Forster) in eight apple orchards in the Aosta Valley. The species completes one generation per year; the overwintered psyllids colonized apple trees beginning in late January, whereas the springtime generation was observed beginning in early May. The offspring adults remained in apple orchards until the end of June, when they began to move onto other hosts. During 1999 and 2000, all apple trees present in the investigated orchards were visually checked to assess the fluctuation of disease symptoms. Polymerase chain reaction and restriction fragment-length polymorphism confirmed the presence of the apple proliferation phytoplasmas in both overwintering and offspring insects as well as in symptomatic apple plants. The ability of C. melanoneura to vector the disease was assessed by preliminary transmission trials. Overwintered psyllids, collected in the most affected orchards, caged on healthy apple test plants transmitted apple proliferation phytoplasmas.
Animals↗
New version of LSTSIM for computer simulation of Amblyomma americanum (Acari: Ixodidae) population dynamics.
A previous version of Lone Star Tick Simulation Model (LSTSIM) for a wildlife ecosystem was revised and expanded to include a beef cattle forage area and improved handling of tick-host-habitat interactions. Relationships between environmental and biological variables were also refined in the new version. General validity of the revised model was established by comparing simulated and observed host-seeking populations of Amblyomma americanum (L.) at five geographic locations, three in Oklahoma and two in Kentucky-Tennessee. Additional validity was indicated from comparisons of simulated and observed seasonality of lone star ticks at one location in Kentucky. The model produced acceptable values for initial population growth rate, generation time, and 15-yr population density when historical weather files for 14 locations in the United States were used. The model of A. americanum population dynamics was used to study the relationship between tick density and density of white-tailed deer, Odocoileus virginianus (Zimmerman), and cattle. The revised model can be used for additional simulation studies on effects of tick control technologies and integrated management strategies.
Animals↗
Global climate drives southern right whale (Eubalaena australis) population dynamics.
Sea surface temperature (SST) time-series from the southwest Atlantic and the El Niño 4 region in the western Pacific were compared to an index of annual calving success of the southern right whale (Eubalaena australis) breeding in Argentina. There was a strong relationship between right whale calving output and SST anomalies at South Georgia in the autumn of the previous year and also with mean El Niño 4 SST anomalies delayed by 6 years. These results extend similar observations from other krill predators and show clear linkages between global climate signals and the biological processes affecting whale population dynamics.
Animals↗
The population dynamics of competition between parasites.
A number of published studies of competition between parasite species are examined and compared. It is suggested that two general levels of interaction are discernible: these correspond to the two levels of competition recognized by workers studying free-living animals and plants: 'exploitation' and 'interference' competition. The former may be defined as the joint utilization of a host species by two or more parasite species, while the latter occurs when antagonistic mechanisms are utilized by one species either to reduce the survival or fecundity of a second species or to displace it from a preferred site of attachment. Data illustrating both levels of interaction are collated from a survey of the published literature and these suggest that interference competition invariably operates asymmetrically. The data are also used to estimate a number of population parameters which are important in determining the impact of competition at the population level. Theoretical models of host-parasite associations for both classes of competition are used to examine the expected patterns of population dynamics that will be exhibited by simple two-species communities of parasites that utilize the same host population. The analysis suggests that the most important factor allowing competing species of parasites to coexist is the statistical distribution of the parasites within the host population. A joint stable equilibrium should be possible if both species are aggregated in their distribution. The size of the parasite burdens at equilibrium is then determined by other life-history parameters such as pathogenicity, rates of resource utilization and antagonistic ability. Comparison of these theoretical expectations with a variety of sets of empirical data forms the basis for a discussion about the importance of competition in natural parasite populations. The models are used to assess quantitatively the potential for using competing parasite species as biological control agents for pathogens of economic or medical importance. The most important criterion for identifying a successful control agent is an ability to infect a high proportion of the host population. If such a parasite species also exhibits an intermediate level of pathology or an efficient ability to utilize shared common resources, antagonistic interactions between the parasite species contribute only secondarily to the success of the control. Competition in parasites is compared with competition in free-living animals and plants. The comparison suggests further experimental tests which may help to assess the importance of competition in determining the structure of more complex parasite-host communities.
Animals↗
A population dynamic model for facultative agamosperms.
Plants that can reproduce both sexually and agamically are called facultative apomicts. Some species, such as Taraxacum, contain both sexual diploids and triploid facultative apomicts. Triploids produce seeds without gamete fusion and recombination, and can also produce pollen and fertilize diploids. We present a population dynamic model that deals with gene flow and competition between diploids and triploids, with differing allocation towards reproductive investment in seeds and pollen. This paper examines whether diploids and triploids of plants with facultative agamospermy can coexist within a single population. We analyse the global behavior of such a dynamic system. Features of the system are significantly affected by the germination rates of diploids and triploids. Either diploids or triploids persist alone when the germination rate of diploids is sufficiently larger or smaller than that of triploids, respectively. Competitive exclusion occurs when both germination rates are sufficiently large. Coexistence is possible under certain specific conditions when: (I) the germination rates of both diploid sexuals and triploids are not sufficiently large, and (II) triploids produce sufficient pollen. When diploid sexuals and triploids coexist, triploids cannot exist alone, implying that the pollen of triploids is necessary to exploit diploid ovules.
Models, Biological↗
Virus fitness: concept, quantification, and application to HIV population dynamics.
Viral fitness has been broadly studied during the past three decades, mainly to test evolutionary models and population theories difficult to analyze and interpret with more complex organisms. More recent studies, however, are focused in the role of fitness on viral transmission, pathogenesis, and drug resistance. Here, we used human immunodeficiency virus (HIV) as one of the most relevant models to evaluate the importance of viral quasispecies and fitness in HIV evolution, population dynamics, disease progression, and potential clinical implications.
Anti-HIV Agents↗