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We report a chromosome-scale assembly and analysis of the Daucus carota genome, an important source of provitamin A in the human diet and the first sequenced genome among members of the Euasterid II clade. We characterized two new polyploidization events, both occurring after the divergence of carrot from members of the Euasterid I clade, clarifying the evolutionary scenario before and after the radiation of the two main Asterid clades. Large- and small-scale lineage-specific duplications contributed to the expansion of gene families including those with roles in flowering time, defense response, flavor, and pigment accumulation. We demonstrated that the primary genetic locus underlying carotenoid accumulation in the carrot root, that is the foundation of the orange color of modern carrots, is not directly controlled at the biosynthetic level. A candidate gene was identified, and transcriptome data suggested that high carotenoid accumulation involves overexpression of several light-induced genes operating in photosystem development and function. These results provide a resource for crop improvement, for comparative genome analysis in the Asterid lineage, and for the discovery of novel genetic mechanisms regulating carotene biosynthesis and accumulation in plants.

PD-1 inhibitors show efficacy in hepatocellular carcinoma (HCC), yet overall outcomes remain poor. In this retrospective study of 258 advanced HCC patients treated between 2019 and 2024, peripheral blood B-cell dynamics were evaluated. Patients with higher B-cell proportions or absolute counts had significantly longer overall survival (OS) and progression-free survival (PFS). Multivariate analysis confirmed elevated B-cell proportion as an independent protective factor for OS. These results suggest that peripheral blood B-cell levels may serve as prognostic biomarkers for PD-1–based immunotherapy in advanced HCC.

Addressing stunting, malnutrition, and hidden hunger through nutritious, economic, and resilient agri-food system is one of the major agricultural challenges of this century. As sub-Saharan Africa harbors a large portion of the severely malnourished population, the African Orphan Crops Consortium (AOCC) was established in 2011 with an aim to reduce stunting and malnutrition by providing nutritional security through improving locally adapted nutritious, but neglected, under-researched or orphan African food crops. Foods from these indigenous or naturalized crops and trees are rich in minerals, vitamins, and antioxidant, and are an integral part of the dietary portfolio and cultural, social, and economic milieu of African farmers. Through stakeholder consultations supported by the African Union, 101 African orphan and under-researched crop species were prioritized to mainstream into African agri-food systems. The AOCC, through a network of international–regional–public–private partnerships and collaborations, is generating genomic resources of three types, i.e., reference genome sequence, transcriptome sequence, and re-sequencing 100 accessions/species, using next-generation sequencing (NGS) technology. Furthermore, the University of California Davis African Plant Breeding Academy under the AOCC banner is training 150 lead African scientists to breed high yielding, nutritious, and climate-resilient (biotic and abiotic stress tolerant) crop varieties that meet African farmer and consumer needs. To date, one or more forms of sequence data have been produced for 60 crops. Reference genome sequences for six species have already been published, 6 are almost near completion, and 19 are in progress.

Cultivated soybean [ Glycine max (L.) Merr.] is a primary source of vegetable oil and protein. We report a landscape analysis of genome-wide genetic variation and an association study of major domestication and agronomic traits in soybean. A total of 106 soybean genomes representing wild, landraces and elite lines were re-sequenced at an average of 17x depth with a 97.5% coverage. Over 10 million high-quality SNPs were discovered and 35.34% of these have not been previously reported. Additionally, 159 putative domestication sweeps were identified, which includes 54.34 Mbp (4.9%) and 4,414 genes; 146 regions were involved in artificial selection during domestication. A genome-wide association study of major traits including oil and protein content, salinity and domestication traits resulted in the discovery of novel alleles. Genomic information from this study provides a valuable resource for understanding soybean genome structure and evolution and can also facilitate trait dissection leading to sequencing-based molecular breeding.

Mounting evidence suggests that terrestrialization of plants started in streptophyte green algae, favoured by their dual existence in freshwater and subaerial/terrestrial environments. Here, we present the genomes of Mesostigma viride and Chlorokybus atmophyticus, two sister taxa in the earliest-diverging clade of streptophyte algae dwelling in freshwater and subaerial/terrestrial environments, respectively. We provide evidence that the common ancestor of M. viride and C. atmophyticus (and thus of streptophytes) had already developed traits associated with a subaerial/terrestrial environment, such as embryophyte-type photorespiration, canonical plant phytochrome, several phytohormones and transcription factors involved in responses to environmental stresses, and evolution of cellulose synthase and cellulose synthase-like genes characteristic of embryophytes. Both genomes differed markedly in genome size and structure, and in gene family composition, revealing their dynamic nature, presumably in response to adaptations to their contrasting environments. The ancestor of M. viride possibly lost several genomic traits associated with a subaerial/terrestrial environment following transition to a freshwater habitat.

Background Root nodule symbiosis (RNS) is a fascinating evolutionary event. Given that limited genes conferring the evolution of RNS in Leguminosae have been functionally validated, the genetic basis of the evolution of RNS remains largely unknown. Identifying the genes involved in the evolution of RNS will help to reveal the mystery. Results Here, we investigate the gene loss event during the evolution of RNS in Leguminosae through phylogenomic and synteny analyses in 48 species including 16 Leguminosae species. We reveal that loss of the Lateral suppressor gene, a member of the GRAS-domain protein family, is associated with the evolution of RNS in Leguminosae. Ectopic expression of the Lateral suppressor ( Ls ) gene from tomato and its homolog MONOCULM 1 ( MOC1 ) and Os7 from rice in soybean and Medicago truncatula result in almost completely lost nodulation capability. Further investigation shows that Lateral suppressor protein, Ls, MOC1, and Os7 might function through an interaction with NODULATION SIGNALING PATHWAY 2 (NSP2) and CYCLOPS to repress the transcription of NODULE INCEPTION ( NIN ) to inhibit the nodulation in Leguminosae. Additionally, we find that the cathepsin H (CTSH), a conserved protein, could interact with Lateral suppressor protein, Ls, MOC1, and Os7 and affect the nodulation. Conclusions This study sheds light on uncovering the genetic basis of the evolution of RNS in Leguminosae and suggests that gene loss plays an essential role.

Nitrogen limitation is a critical abiotic stressor that disrupts the balance between plants and their environment, imposing trade-offs in biomass allocation that threaten crop productivity and food security. While modern breeding programs often focus on improving shoot performance, the genetic mechanisms that coordinate root-shoot responses under nitrogen stress remain poorly understood. This study aimed to dissect the molecular and physiological foundations of nitrogen-driven resilience in wheat, leveraging the genetically diverse Watkins wheat landraces as a source of adaptive alleles. A total of 308 Watkins wheat landraces were phenotyped under low nitrogen (LN) and normal nitrogen (NN) conditions to assess root-shoot allocation strategies. Genome-wide association studies (GWAS) were conducted to identify candidate genes governing nitrogen-responsive traits. Functional annotation and transcriptomic validation were used to elucidate gene networks, and haplotype mapping was employed to link allelic variation to geographic adaptation. Multivariate analysis was performed to classify biomass allocation strategies among the landraces. Phenotypic analysis revealed stark differences in root-shoot allocation strategies under LN and NN conditions. GWAS identified 130 candidate genes, including root-specific and shoot-prioritizing , involved in nitrogen-responsive traits. Functional studies highlighted antagonistic gene networks, such as and , balancing root meristem activity and stress adaptation. Adaptive alleles of in European landraces optimized root proliferation under LN, while Eurasian landraces exhibited shoot-root coordination under NN through variants. Multivariate analysis classified landraces into four distinct biomass allocation strategies, identifying elite genotypes resilient to nitrogen limitation. By integrating genomics, phenomics, and haplotype mapping, this study connects molecular mechanisms underlying nutrient stress with ecophysiological adaptation. Key genes, such as and , emerged as actionable targets for marker-assisted breeding to develop nitrogen-efficient wheat varieties. These findings highlight the potential of evolutionary-informed genetics in the Watkins landraces to enhance stress resilience, providing a roadmap for sustainable crop design in the context of global nutrient scarcity.

Haplotype identification, characterization and visualization are important for large-scale analysis and use in population genomics. Many tools have been developed to visualize haplotypes, but it is challenging to display both the pattern of haplotypes and the genotypes for each single SNP in the context of a large amount of genomic data. Here, we describe the tool HAPPE, which uses the agglomerative hierarchical clustering algorithm to characterize and visualize the genotypes and haplotypes in a phylogenetic context. The tool displays the plots by coloring the cells and/or their borders in Excel tables for any given gene and genomic region of interest. HAPPE facilitates informative displays wherein data in plots are easy to read and access. It allows parallel display of several lines of values, such as phylogenetic trees, P values of GWAS, the entry of genes or SNPs, and the sequencing depth at each position. These features are informative for the detection of insertion/deletions or copy number variations. Overall, HAPPE provides editable plots consisting of cells in Excel tables, which are user-friendly to non-programmers. This pipeline is coded in Python and is available at https://github.com/fengcong3/HAPPE .

Genome analysis of the pico-eukaryotic marine green alga Prasinoderma coloniale CCMP 1413 unveils the existence of a novel phylum within green plants (Viridiplantae), the Prasinodermophyta, which diverged before the split of Chlorophyta and Streptophyta. Structural features of the genome and gene family comparisons revealed an intermediate position of the P. coloniale genome (25.3 Mb) between the extremely compact, small genomes of picoplanktonic Mamiellophyceae (Chlorophyta) and the larger, more complex genomes of early-diverging streptophyte algae. Reconstruction of the minimal core genome of Viridiplantae allowed identification of an ancestral toolkit of transcription factors and flagellar proteins. Adaptations of P. coloniale to its deep-water, oligotrophic environment involved expansion of light-harvesting proteins, reduction of early light-induced proteins, evolution of a distinct type of C4 photosynthesis and carbon-concentrating mechanism, synthesis of the metal-complexing metabolite picolinic acid, and vitamin B1, B7 and B12 auxotrophy. The P. coloniale genome provides first insights into the dawn of green plant evolution.

Historical landrace collections, such as the Watkins Wheat Collection, harbor immense genetic diversity that holds the potential to transform our understanding of crop resilience and adaptation. This study employs a novel integrative phenotyping approach to dissect regional adaptation and nitrogen stress resilience in Watkins wheat landraces under contrasting nitrogen regimes. By leveraging a multidimensional framework, including stress indices, geographic analyses, and multivariate clustering, this work identifies 48 landraces with contrasting responses to nitrogen limitation. High-performing genotypes, such as WATDE0013 and WATDE0020, exhibited superior biomass partitioning under stress, reflecting historical adaptation to low-input agroecosystems spanning Europe, Asia, and North Africa. These findings emphasize the value of phenotypic plasticity in nitrogen use efficiency (NUE) improvement. In contrast, low-performing accessions, such as WATDE1055, highlighted vulnerabilities to nitrogen limitation, illustrating the importance of comprehensive phenotypic screening for gene-bank prioritization. Regional adaptation patterns, elucidated through geographic analyses, uncovered stress-resilient genotypes clustered in historically marginal agricultural regions, revealing adaptive traits shaped by environmental selection pressures. Principal component analysis (PCA) and hierarchical clustering delineated five distinct phenotypic groups, enhancing our understanding of evolutionary trajectories within this collection. This integrative approach transcends traditional phenotyping methods by linking phenotype, genotype, and geographic context to uncover nuanced adaptive traits. By bridging gene bank conservation with a systems-level understanding of crop evolution, this study provides actionable insights and a robust framework for breeding climate-resilient wheat varieties. These findings underscore the critical role of preserving genetic diversity in landraces to address global challenges in nitrogen stress and climate resilience.