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1.
Biosci Biotechnol Biochem ; 87(1): 21-27, 2022 Dec 21.
Artigo em Inglês | MEDLINE | ID: mdl-36416843

RESUMO

In an agroecosystem, plants and microbes coexist and interact with environmental factors such as climate, soil, and pests. However, agricultural practices that depend on chemical fertilizers, pesticides, and frequent tillage often disrupt the beneficial interactions in the agroecosystem. To reconcile the improvement of crop performance and reduction in environmental impacts in agriculture, we need to understand the functions of the complex interactions and develop an agricultural system that can maximize the potential benefits of the agroecosystem. Therefore, we are developing a system called the agroecosystem engineering system, which aims to optimize the interactions between crops, microbes, and environmental factors, using multi-omics analysis. This review first summarizes the progress and examples of omics approaches, including multi-omics analysis, to reveal complex interactions in the agroecosystem. The latter half of this review discusses the prospects of data analysis approaches in the agroecosystem engineering system, including causal network analysis and predictive modeling.


Assuntos
Agricultura , Multiômica , Solo , Microbiologia do Solo , Produtos Agrícolas/genética
2.
J Nutr Sci Vitaminol (Tokyo) ; 61(1): 14-9, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-25994135

RESUMO

In Japan, the incidence of type 2 diabetes mellitus (T2DM) is increasing for several reasons, including increased consumption of sugar-sweetened beverages (SSBs). However, whether SSBs cause T2DM by excess of energy production resulting in obesity remains unclear. Therefore, the present study was designed to evaluate the effects of SSB intake on the development of T2DM in subjects with impaired glucose tolerance (IGT). Ninety-three subjects (30 males and 63 females) with IGT aged 40-69 y and residing in the Mihama district (southern Mie Prefecture, Japan) were included in the study. The mean observational period was 3.6 y. All subjects underwent the 75-g oral glucose tolerance test (OGTT) and completed a lifestyle questionnaire survey related to SSB intake. OGTT results and SSB intake were evaluated before and after the observational period. In addition, the correlation between SSB intake and development of T2DM was investigated. Of the 93 subjects, 20 (21.5%) developed T2DM (T2DM group) and demonstrated a significantly high SSB intake compared with the group that did not develop the disease (non-T2DM group). The odds ratio for the incidence of T2DM based on SSB intake was 3.26 (95% confidence interval, 1.17-9.06). The body mass index (BMI; kg/m(2)) and the homeostasis model assessment for insulin resistance (HOMA-R) values was significantly higher in the T2DM group than in the non-T2DM group, while the insulinogenic indices were significantly lower in the former than in the latter group. The sum of insulin secretion levels during OGTT was not significantly different between groups. SSB intake correlated with the predisposition for developing T2DM, possibly by influencing body weight, insulin resistance, and the ability of the pancreatic beta cells to effectively compensate for the insulin resistance.


Assuntos
Bebidas/efeitos adversos , Índice de Massa Corporal , Diabetes Mellitus Tipo 2/etiologia , Sacarose Alimentar/efeitos adversos , Comportamento Alimentar , Intolerância à Glucose/complicações , Insulina/metabolismo , Glicemia/metabolismo , Diabetes Mellitus Tipo 2/sangue , Diabetes Mellitus Tipo 2/epidemiologia , Dieta/efeitos adversos , Feminino , Intolerância à Glucose/sangue , Teste de Tolerância a Glucose , Humanos , Resistência à Insulina , Secreção de Insulina , Células Secretoras de Insulina/metabolismo , Japão/epidemiologia , Masculino , Pessoa de Meia-Idade , Obesidade/sangue , Obesidade/etiologia , Razão de Chances , Inquéritos e Questionários , Edulcorantes/efeitos adversos
3.
Ann Bot ; 94(4): 635-44, 2004 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-15329335

RESUMO

BACKGROUND AND AIMS: Allowing for dispersal limitation, a species' geographic distribution should reflect its environmental requirements. Comparisons among closely related species should reveal adaptive differentiation in species characteristics that are consistent with their differences in geographic distribution. This expectation was tested by comparing characteristics of seedlings of spruce species in relation to environmental factors representative of their current natural ranges. METHODS: Seedlings were grown from a total of 34 populations representing eight North American spruce (Picea) species in a controlled environment chamber for 140 d. Traits related to the potential of seedling establishment, including tolerance to stress events (high temperature, desiccation) were evaluated. Correlations were sought between these characteristics and modal values of latitude, aridity and continentality in the geographic range of each species. KEY RESULTS: Many seedling traits changed significantly in response to stress events, but only the response of chlorophyll concentration differed significantly among species. Components of seedling growth were good correlates of species distribution. Seedling relative growth rate (RGR) and specific leaf area (SLA) were positively correlated with latitude, and leaf weight ratio (LWR) negatively correlated with aridity. Seed mass was negatively correlated with latitude. CONCLUSIONS: Relationships found between seedling traits and geographical variation in environmental conditions suggest that factors such as temperature regime, water availability and perhaps litter depth affect species range in North American spruces. Seedling characteristics appear to be elements in a reasonably distinct environmental niche for each spruce species at the continental scale.


Assuntos
Ecossistema , Picea/crescimento & desenvolvimento , Plântula/fisiologia , Clorofila/metabolismo , Meio Ambiente , América do Norte , Picea/fisiologia , Fenômenos Fisiológicos Vegetais , Estações do Ano , Plântula/crescimento & desenvolvimento , Plântula/metabolismo , Temperatura , Água/metabolismo
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