In spite of the acknowledged importance of growth-promoting bacteria, only a reduced number of studies were conducted with these microorganisms on Theobroma cacao. The objectives of this work were to study the population densities and genetic diversity of actinomycetes associated with the rhizosphere of cacao as a first step in their application in plant growth promotion and biological control. The populations densities of actinomycetes in soil and cacao roots were similar, with mean values of 1,0 x 10(6) CFU/g and 9,6 x 10(5) CFU/g, respectively. All isolates selected and used in this study were identified through sequencing analyses of a fragment of the rpoB gene that encodes the β-subunit of the RNA polymerase as species of the genus Streptomyces. In vitro cellulolytic, xilanolytic and chitinolytic activity, indolacetic acid production and phosphate solubilization activities were observed in most of the isolates tested. The data obtained in this study demonstrate that actinomycetes account for a higher percentage of the total population of culturable bacteria in soil than on cacao roots. Additionally, actinomycetes from the cacao rhizosphere are genetically diverse and have potential applications as agents of growth promotion.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3768440PMC
http://dx.doi.org/10.1590/S1517-838220080003000010DOI Listing

Publication Analysis

Top Keywords

population densities
8
densities genetic
8
genetic diversity
8
diversity actinomycetes
8
actinomycetes associated
8
associated rhizosphere
8
theobroma cacao
8
growth promotion
8
soil cacao
8
cacao roots
8

Similar Publications

Background: Diabetic population are at an increased risk of developing dyslipidemia and other cardiovascular complications. The study was performed to evaluate the lipid profile parameter in the diabetic population among the ethnic tribal community of Tripura and calculate the risk of cardiovascular events. The tribal community was chosen as the study population because their lifestyle, food habits, culture and housing practices are different from people living on the plains.

View Article and Find Full Text PDF

Background: About 30% of ischemic strokes do not have a clear cause, which is called cryptogenic stroke (CS). Increasing evidence suggests a potential link between CS and right-to-left shunt (RLS). RLS may lead to CS via paradoxical embolic mechanism.

View Article and Find Full Text PDF

Background: The prevalence of very high-risk atherosclerotic cardiovascular disease (ASCVD) is significant in China, with suboptimal rates of low-density lipoprotein cholesterol (LDL-C) compliance exacerbating plaque instability and causing a higher incidence of major adverse cardiac events (MACEs). Proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) are effective in reducing LDL-C levels, increase the stability of vulnerable plaque, and influence the progression of atherosclerosis through multiple mechanisms as demonstrated in animal studies. However, there is currently a lack of evidence regarding the efficacy and safety of high-intensity statin therapy combined with PCSK9i in the secondary prevention of ASCVD in the Chinese population.

View Article and Find Full Text PDF

Objective: Children with congenital adrenal hyperplasia are considered to be at an elevated risk for cardiovascular morbidity and mortality. The objective of this study was to evaluate the association between periaortic fat thickness and the cardiometabolic profile in children diagnosed with congenital adrenal hyperplasia.

Method: A total of 20 children and adolescents with congenital adrenal hyperplasia and 20 healthy control subjects were enrolled in the study.

View Article and Find Full Text PDF

AutoGP: An Intelligent Breeding Platform for Enhancing Maize Genomic Selection.

Plant Commun

January 2025

National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Hubei, China. Electronic address:

In the face of climate change and the growing global population, there is an urgent need to accelerate the development of high-yielding crop varieties. To this end, vast amounts of genotype-to-phenotype data have been collected, and many machine learning (ML) models have been developed to predict phenotype from a given genotype. However, the requirement for high densities of single-nucleotide polymorphisms (SNPs) and the labor-intensive collection of phenotypic data are hampering the use of these models to advance breeding.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!