Genome-wide analysis of KIX gene family for organ size regulation in soybean ( L.).

The KIX domain, conserved among various nuclear and co-activator factors, acts as a binding site that interacts with other transcriptional activators and co-activators, playing a crucial role in gene expression regulation. In plants, the KIX domain is involved in plant hormone signaling, stress response regulation, cell cycle control, and differentiation, indicating its potential relevance to crop productivity. This study aims to identify and characterize KIX domains within the soybean ( L.

Comparison of Various Drought Resistance Traits in Soybean ( L.) Based on Image Analysis for Precision Agriculture.

Drought is being annually exacerbated by recent global warming, leading to crucial damage of crop growth and final yields. Soybean, one of the most consumed crops worldwide, has also been affected in the process. The development of a resistant cultivar is required to solve this problem, which is considered the most efficient method for crop producers.

High-Throughput Phenotyping Methods for Breeding Drought-Tolerant Crops.

Drought is a main factor limiting crop yields. Modern agricultural technologies such as irrigation systems, ground mulching, and rainwater storage can prevent drought, but these are only temporary solutions. Understanding the physiological, biochemical, and molecular reactions of plants to drought stress is therefore urgent.

The Transcription Factor Is Involved in the Multiple Stress Tolerance to Heat and Drought in Rice Plants.

The AP2/EREBP family transcription factors play important roles in a wide range of stress tolerance and hormone signaling. In this study, a heat-inducible rice gene was isolated and functionally characterized. The was categorized to Group-IIIc of the rice AP2/EREBP family and strongly induced by heat and drought treatment.

High-throughput phenotyping platform for analyzing drought tolerance in rice.

A new imaging platform was constructed to analyze drought-tolerant traits of rice. Rice was used to quantify drought phenotypes through image-based parameters and analyzing tools. Climate change has increased the frequency and severity of drought, which limits crop production worldwide.

High Throughput Phenotyping for Various Traits on Soybean Seeds Using Image Analysis.

Data phenotyping traits on soybean seeds such as shape and color has been obscure because it is difficult to define them clearly. Further, it takes too much time and effort to have sufficient number of samplings especially length and width. These difficulties prevented seed morphology to be incorporated into efficient breeding program.

The opening of phenome-assisted selection era in the early seedling stage.

Faster and more efficient breeding cycle is not an option to deal with unpredictable and fast global climate changes. Phenomics for collecting huge number of individuals in accurate manner could be an answer to solve this problem. We collected image data to measure plant height and manual data for shoot length to be compared.

Prediction of Host-Specific Genes by Pan-Genome Analyses of the Korean Species Complex.

The soil-borne pathogenic species complex (RSSC) is a group of plant pathogens that is economically destructive worldwide and has a broad host range, including various solanaceae plants, banana, ginger, sesame, and clove. Previously, Korean RSSC strains isolated from samples of potato bacterial wilt were grouped into four pathotypes based on virulence tests against potato, tomato, eggplant, and pepper. In this study, we sequenced the genomes of 25 Korean RSSC strains selected based on these pathotypes.

Assembly of the Mitochondrial Genome in the Campanulaceae Family Using Illumina Low-Coverage Sequencing.

(balloon flower) and (bonnet bellflower) are important herbs used in Asian traditional medicine, and both belong to the botanical family Campanulaceae. In this study, we designed and implemented a de novo DNA sequencing and assembly strategy to map the complete mitochondrial genomes of the first two members of the Campanulaceae using low-coverage Illumina DNA sequencing data. We produced a total of 28.

MultiSyn: A Webtool for Multiple Synteny Detection and Visualization of User's Sequence of Interest Compared to Public Plant Species.

Information on multiple synteny between plants and/or within a plant is key information to understand genome evolution. In addition, visualization of multiple synteny is helpful in interpreting evolution. So far, some web applications have been developed to determine and visualize multiple homology regions at once.