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The genetic consequences of adaptation to changing environments can be deciphered using population genomics, which may help predict species' responses to global climate change. Towards this, we used genome-wide SNP marker analysis to determine population structure and patterns of genetic differentiation in terms of neutral and adaptive genetic variation in the natural range of Eucalyptus grandis, a widely cultivated subtropical and temperate species, serving as genomic reference for the genus. We analysed introgression patterns at subchromosomal resolution using a modified ancestry mapping approach and identified provenances with extensive interspecific introgression in response to increased aridity. Furthermore, we describe potentially adaptive genetic variation as explained by environment-associated SNP markers, which also led to the discovery of what is likely a large structural variant. Finally, we show that genes linked to these markers are enriched for biotic and abiotic stress responses.
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http://dx.doi.org/10.1111/mec.15615 | DOI Listing |
Insects
July 2025
Guangxi Key Laboratory of Agro-Environment and Agric-Products Safety, College of Agriculture, Guangxi University, Nanning 530004, China.
A new species of (Hymenoptera: Eulophidae), sp. nov., is recognized to be fortuitously present on a population of the invasive ( × ) gall wasp Chen & Yao, in Guangxi, China.
View Article and Find Full Text PDFInt J Mol Sci
August 2025
Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China.
The gene family participates in crucial processes including plant development, stress adaptation, and hormonal signaling cascades. While the gene family has been extensively characterized in model plant systems and agricultural crops, its functional role in , a commercially valuable tree species of significant ecological and economic importance, remains largely unexplored. In the present investigation, systematic identification and characterization of the gene family were performed in using a combination of genome-wide bioinformatics approaches and RNA-seq-based expression profiling.
View Article and Find Full Text PDFFront Plant Sci
August 2025
Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, China.
Malate dehydrogenases are pivotal in plant metabolism and stress responses, yet their evolutionary dynamics and functional diversification in woody angiosperms remain underexplored. This study comprehensively characterized the MDH (EgMDH) gene family to elucidate its roles in development and environmental adaptation. We identified 14 genes and conducted phylogenetic, structural, and syntenic analyses to trace their evolutionary origins.
View Article and Find Full Text PDFPhysiol Plant
January 2025
Hawkesbury Institute for the Environment, Western Sydney University, Richmond, New South Wales, Australia.
Plant roots live in constant contact with diverse microbes in the soil. Plant fitness, therefore, relies on signaling pathways that mount an effective immune response against pathogens while fostering mutualistic symbioses. Plant pathways, and specifically immune genes that may act as "switches," discriminating between pathogenic or mutualistic fungi, remain largely unknown.
View Article and Find Full Text PDFBMC Plant Biol
July 2025
Center for Genomics, College of Forestry, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Background: is one of the most important fast-growing tree species in the world, and its growth and development are significantly affected by nitrogen and phosphorus. The Amino acid/auxin permease (AAAP) gene family plays key roles in long-distance amino acid transport in plants, but their evolutionary diversity and gene expression analysis in under nutrient deficiency stress are largely unexplored.
Results: This study presents the first genome-wide identification and functional characterization of 78 AAAP family genes (EgAAAPs) in , classified into eight subfamilies.