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Hornworts comprise a bryophyte lineage that diverged from other extant land plants >400 million years ago and bears unique biological features, including a distinct sporophyte architecture, cyanobacterial symbiosis and a pyrenoid-based carbon-concentrating mechanism (CCM). Here, we provide three high-quality genomes of Anthoceros hornworts. Phylogenomic analyses place hornworts as a sister clade to liverworts plus mosses with high support. The Anthoceros genomes lack repeat-dense centromeres as well as whole-genome duplication, and contain a limited transcription factor repertoire. Several genes involved in angiosperm meristem and stomatal function are conserved in Anthoceros and upregulated during sporophyte development, suggesting possible homologies at the genetic level. We identified candidate genes involved in cyanobacterial symbiosis and found that LCIB, a Chlamydomonas CCM gene, is present in hornworts but absent in other plant lineages, implying a possible conserved role in CCM function. We anticipate that these hornwort genomes will serve as essential references for future hornwort research and comparative studies across land plants.
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http://dx.doi.org/10.1038/s41477-020-0618-2 | DOI Listing |
Plant Commun
September 2025
College of Horticulture, Bioinformatics Center, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing 210095, China. Electronic address:
Molecular phylogenetics illustrates the evolution and divergence of green plants by employing sequence data from various sources. Interestingly, phylogenetic reconstruction based on mitochondrial genes tends to exhibit incongruence with those derived from nuclear and chloroplast genes. Although the uniparental inheritance and conservatively retained protein-coding genes of mitochondrial genomes inherently exclude certain potential factors that affect phylogenetic reconstruction, such as hybridization and gene loss, the utilization of mitochondrial genomes for phylogeny and divergence time estimation remains limited.
View Article and Find Full Text PDFTheor Appl Genet
September 2025
Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Australia.
Stacking desirable haplotypes across the genome to develop superior genotypes has been implemented in several crop species. A major challenge in Optimal Haplotype Selection is identifying a set of parents that collectively contain all desirable haplotypes, a complex combinatorial problem with countless possibilities. In this study, we evaluated the performance of metaheuristic search algorithms (MSAs)-genetic algorithm (GA), differential evolution (DE), particle swarm optimisation (PSO), and simulated annealing (SA) for optimising parent selection under two genotype building (GB) objectives: Optimal Haplotype Selection (OHS) and Optimal Population Value (OPV).
View Article and Find Full Text PDFMol Phylogenet Evol
September 2025
School of Ecology and Environmental Science, Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Institute of Biodiversity, School of Life Sciences, Yunnan University, Kunming 650504 Yunnan, China. Electronic address:
The advent of high-throughput genomic sequencing has provided unprecedented access to genome-scale data. This deluge of data has yielded new insights into phylogenetic relationships across the tree of life. However, incongruent results arising from different data partitions or from the use of different analyses have often been overlooked or insufficiently explored.
View Article and Find Full Text PDFPlant J
September 2025
Université de Strasbourg, CNRS, IBMP UPR 2357, Strasbourg, France.
Trimethylation of histone H3 at lys36 (H3K36me3) promotes gene transcription and governs plant development and plant responses to environmental cues. Yet, how H3K36me3 is translated into specific downstream events remains largely uninvestigated. Here, we report that the Arabidopsis PWWP-domain protein HUA2 binds methyl-H3K36 in a PWWP motif-dependent manner.
View Article and Find Full Text PDFPlant J
September 2025
Rice Research Institute of Shenyang Agricultural University, Shenyang, 110 866, China.
Grain size is a crucial determinant of rice yield, yet the molecular mechanisms controlling this trait remain only partially understood. Here, we identified the JMJ720 locus as a key regulator of grain size through map-based cloning. The jmj720 mutant was found to exhibit significantly larger grains when compared to the wild type (WT).
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