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Your search keyword '"Jerald Conrad Ibal"' showing total 2 results
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2 results on '"Jerald Conrad Ibal"'

1. Growth Increase in the Herbaceous Plant Centella asiatica by the Plant Growth-Promoting Rhizobacteria Priestia megaterium HyangYak-01

Author

HyungWoo Jo, Kyeongmo Lim, Jerald Conrad Ibal, Min-Chul Kim, Hye-Been Kim, Chaeyun Baek, Young Mok Heo, Haeun Lee, Seunghyun Kang, Dong-Geol Lee, and Jae-Ho Shin

Subjects
biofertilizer, Centella asiatica, microbiome, plant growth-promoting activity, Priestia megaterium, Botany, QK1-989
Abstract

Centella asiatica is a traditional herbaceous plant with numerous beneficial effects, widely known for its medicinal and cosmetic applications. Maximizing its growth can lead to beneficial effects, by focusing on the use of its active compounds. The use of plant growth-promoting rhizobacteria (PGPR) is known to be an alternative to chemical fertilizers. In this study, we used the PGPR Priestia megaterium HY-01 to increase the yield of C. asiatica. In vitro assays showed that HY-01 exhibited plant growth-promoting activities (IAA production, denitrification, phosphate solubilization, and urease activity). Genomic analyses also showed that the strain has plant growth-promoting-related genes that corroborate with the different PGP activities found in the assays. This strain was subsequently used in field experiments to test its effectiveness on the growth of C. asiatica. After four months of application, leaf and root samples were collected to measure the plant growth rate. Moreover, we checked the rhizosphere microbiome between the treated and non-treated plots. Our results suggest that treatment with Hyang-yak-01 not only improved the growth of C. asiatica (leaf length, leaf weight, leaf width, root length, root width, and chlorophyll content) but also influenced the rhizosphere microbiome. Biodiversity was higher in the treated group, and the bacterial composition was also different from the control group.

Published
2023
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2. Review of the Current State of Freely Accessible Web Tools for the Analysis of 16S rRNA Sequencing of the Gut Microbiome

Author

Jerald Conrad Ibal, Yeong-Jun Park, Min-Kyu Park, Jooeun Lee, Min-Chul Kim, and Jae-Ho Shin

Subjects
Inorganic Chemistry, Microbiota, RNA, Ribosomal, 16S, Organic Chemistry, High-Throughput Nucleotide Sequencing, General Medicine, Physical and Theoretical Chemistry, Molecular Biology, Spectroscopy, Catalysis, Software, Computer Science Applications, Gastrointestinal Microbiome
Abstract

Owing to the emergence and improvement of high-throughput technology and the associated reduction in costs, next-generation sequencing (NGS) technology has made large-scale sampling and sequencing possible. With the large volume of data produced, the processing and downstream analysis of data are important for ensuring meaningful results and interpretation. Problems in data analysis may be encountered if researchers have little experience in using programming languages, especially if they are clinicians and beginners in the field. A strategy for solving this problem involves ensuring easy access to commercial software and tools. Here, we observed the current status of free web-based tools for microbiome analysis that can help users analyze and handle microbiome data effortlessly. We limited our search to freely available web-based tools and identified MicrobiomeAnalyst, Mian, gcMeta, VAMPS, and Microbiome Toolbox. We also highlighted the various analyses that each web tool offers, how users can analyze their data using each web tool, and noted some of their limitations. From the abovementioned list, gcMeta, VAMPS, and Microbiome Toolbox had several issues that made the analysis more difficult. Over time, as more data are generated and accessed, more users will analyze microbiome data. Thus, the availability of free and easily accessible web tools can enable the easy use and analysis of microbiome data, especially for those users with less experience in using command-line interfaces.

Published
2022

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