Environmental changes challenge plants and drive adaptation to new conditions, suggesting that natural biodiversity may be a source of adaptive alleles acting through phenotypic plasticity and/or micro-evolution. Crosses between accessions differing for a given trait have been the most common way to disentangle genetic and environmental components. Interestingly, such man-made crosses may combine alleles that never meet in nature. Another way to discover adaptive alleles, inspired by evolution, is to survey large ecotype collections and to use association genetics to identify loci of interest. Both of these two genetic approaches are based on the use of biodiversity and may eventually help us in identifying the genes that plants use to respond to challenges such as short-term stresses or those due to global climate change. In legumes, two wild species, Medicago truncatula and Lotus japonicus, plus the cultivated soybean (Glycine max) have been adopted as models for genomic studies. In this review, we will discuss the resources, limitations and future plans for a systematic use of biodiversity resources in model legumes to pinpoint genes of adaptive importance in legumes, and their application in breeding.
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http://dx.doi.org/10.3389/fpls.2015.00269 | DOI Listing |
ISME J
January 2025
Universidad Pablo de Olavide, Centro Andaluz de Biología del Desarrollo/ Consejo Superior de Investigaciones Científicas/ Junta de Andalucía, Seville, Spain.
Genomic reorganisation between species and horizontal gene transfer have been considered the most important mechanism of biological adaptation under selective pressure. Still, the impact of mobile genes in microbial ecology is far from being completely understood. Here we present the collection and characterisation of microbial consortia enriched from environments contaminated with emerging pollutants, such as non-steroidal anti-inflammatory drugs.
View Article and Find Full Text PDFPlant Commun
January 2025
The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education; Shandong Key Laboratory of Precision Molecular Crop Design and Breeding; School of Life Sciences, Shandong University, Qingdao 266237, China. Electronic address:
UDP-glycosyltransferases (UGTs) constitute the largest glycosyltransferase family in the plant kingdom. They are responsible for transferring sugar moieties onto various small molecules to control many metabolic processes. However, their physiological significance in plants is largely unknown.
View Article and Find Full Text PDFPlants (Basel)
January 2025
State Key Laboratory of Rice Biology and Breeding, China National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 311400, China.
Rice ( L.) is a staple crop for nearly half of the global population and one of China's most extensively cultivated cereals. Heading date, a critical agronomic trait, determines the regional and seasonal adaptability of rice varieties.
View Article and Find Full Text PDFPlants (Basel)
January 2025
Corteva Agriscience, 7000 NW 62nd Ave, Johnston, IA 50131, USA.
Maize lethal necrosis (MLN) is a significant threat to food security in Sub-Saharan Africa (SSA), with limited commercial inbred lines displaying tolerance. This study analyzed the transcriptomes of four commercially used maize inbred lines and a non-adapted inbred line, all with varying response levels to MLN. RNA-Seq revealed differentially expressed genes in response to infection by maize chlorotic mottle virus (MCMV) and sugarcane mosaic virus (SCMV), the causative agents of MLN.
View Article and Find Full Text PDFPlants (Basel)
January 2025
Kurchatov Genomics Center, Institute of Cytology and Genetics SB RAS, Lavrentiev Av. 10, 630090 Novosibirsk, Russia.
Soybean () is a leguminous plant with a broad range of applications, particularly in agriculture and food production, where its seed composition-especially oil and protein content-is highly valued. Improving these traits is a primary focus of soybean breeding programs. In this study, we conducted a genome-wide association study (GWAS) to identify genetic loci linked to oil and protein content in seeds, using imputed genotype data for 180 Eurasian soybean varieties and the novel "genotypic twins" approach.
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