Bananas (Musa ssp.) are globally important staple crops increasingly constrained by biotic stressors, climatic instability, and the high labor demands of cultivation. The genetic improvement of dwarf phenotypes offers a strategic pathway to enhance mechanization and reduce production costs. In this study, we have carried out whole-genome resequencing of 300 Musa accessions to analyze genome-wide allelic diversity and identify loci associated with shoot architecture. Our analysis uncovered extensive genetic variation within the A subgenome, pivotal for environmental adaptability, and detected introgression from Musa itinerans (subgroup A) into cultivated varieties (subgroup F), suggesting a broadened genetic base amenable to breeding. A genome-wide association study (GWAS) pinpointed MabHLH30 as a crucial gene associated plant stature. Functional validation confirmed MabHLH30 as a critical regulator of plant stature and leaf morphology. Leveraging this finding, we developed molecular markers for MabHLH30, enabling marker-assisted selection (MAS) to accelerate the breeding of compact, high-yielding cultivars. Collectively, these results provide a genomic framework for the targeted improvement of banana architecture and represent a valuable resource for cultivar development under diverse agroecological conditions.

Root nodules are specialized organs formed by the symbiotic relationship between legumes and soil-borne rhizobia, facilitating an exchange of energy and nutrients essential for both organisms. This process is accompanied by dynamic changes in genomic organization and gene expression. While the three-dimensional (3D) architecture of the genome is known to influence gene regulation, its role in nodulation and symbiotic nitrogen fixation remains largely unexplored. In this study, we present the first high-resolution (40 kb) 3D genomic map of peanut roots and root nodules, generated using a high-throughput/resolution chromosome conformation capture strategy. Compared to roots, ∼2.0% of chromosomal regions in nodules transition from a repressive (B) to an active (A) compartment and exhibit significant alterations in topologically associated domains (TADs). Peanut nodules also show more extensive cis-interactions, with 100s of differentially expressed genes enriched in symbiotic pathways and nitrate metabolism. Additionally, assay for transposase-accessible chromatin with high-throughput sequencing identifies 25,863 and 14,703 open chromatin regions (OCRs) in roots and nodules, respectively. By integrating OCR mapping with epigenomic modifications, we reveal dynamic local OCRs (LoOCRs) and histone modifications associated with nodulation-related genes. Notably, novel TADs and long-range chromatin loops are detected in peanut nodules, including an H3K27me3 modification-mediated loop that may regulate the expression of Nodule Inception. Another altered chromatin loop highlights the nodule highly expressed AhMsrA gene, which positively influences nodulation. Together, these findings shed new light on how chromatin architecture shapes gene expression during legume nodulation and nitrogen fixation.

Understanding plant adaptive strategies that determine species distributions and ecological optima is crucial for predicting responses to global change drivers. While functional traits provide mechanistic insights into distribution patterns, the specific trait syndromes that best predict elevational optima, particularly in less-studied regions such as the Himalayas, remain unclear. This study employs a novel hierarchical framework integrating morphological, anatomical, and physiological traits to explain elevational distributions among 310 plant species across a 3,500-m gradient (2,650–6,150 m). We analyzed 95,000 floristic records collected from 4,062 localities spanning 80,000 km² in Ladakh, NW Himalayas, India, to define elevational optima and link them with 17 functional traits from over 7,800 individuals. We assessed the roles of moisture and cold limitations on trait–optima relationships by comparing two contrasting habitats (dry steppe and wetter, colder alpine). The predictive power of functional traits was more pronounced in the alpine species facing more extreme abiotic stress than the steppe species. Our results indicate that conservative life history strategies strongly predict elevational optima in alpine areas, while drought avoidance and competitive dominance are key in steppe habitats. Trait syndromes combining short stature, compact growth forms, enhanced storage tissues, and features promoting water-use efficiency (δ¹³C), freezing resistance (fructan levels), and nutrient retention (high root nitrogen and leaf phosphorus) explained 61% of the variation in alpine species' optima. Conversely, lifespan and clonal propagation determined the optima of steppe species at lower elevations. The study emphasizes the importance of functional trait combinations in determining elevational optima, highlighting that alpine species prioritize resource conservation and stress tolerance, while steppe species focus on competitive growth strategies. This multi-trait approach contrasts with previous research focusing on single trait–elevation relationships, providing novel insights into the diverse mechanisms shaping elevational distributions and offering valuable predictive power for assessing vegetation responses to future climate change.

The evolution of spermatophytes (seed plants) is relatively well known in their evolutionary relationships over temporal changes, but their spatial evolution is another critical yet often neglected lens, especially using a taxon-based approach. Here, by integrating geographic distributions and origin locations across 429 spermatophyte families worldwide with unsupervised machine learning approaches, we constructed a Spermatophyte Spatial Evolutionary System that classifies global spermatophytes into 18 distribution types and six distribution supertypes within three primary floristic elements: cosmopolitan, tropical, and temperate. We found that the three elements all primarily originated from Gondwana, with the cosmopolitan element being the youngest and the temperate element being the oldest in terms of origin. They primarily formed during the Tertiary, particularly between the Eocene and Miocene, driven mainly by climate, long-distance dispersal, and tectonic movement, while each exhibited distinct migration routes and formation models. Our results provide novel insights into the spatial evolution of global spermatophytes and highlight that similar distribution patterns of spermatophytes were driven by their comparable formation processes and mechanisms at the levels of floristic element, distribution supertype, and type.

DNAs from the cytoplasmic genomes often communicate with the nuclear genome during regulation, development, and evolution. However, the dynamics of cytonuclear interaction during crop domestication have still been rarely investigated. Here, we examine cytonuclear interactions during grapevine domestication using pan-mitogenome, pan-plastome, and haplotype-resolved nuclear genomes, all assembled from long-read sequences across 33 wild and domesticated grapevine accessions. Structural variation shaped the mitogenomic variation in gene contents, leading to duplications of three specific genes during grapevine domestication (one cox and two rpl genes). Extensive genomic signals of cytonuclear interactions were detected, including a total of 212–431 nuclear–mitochondrial segments (NUMTs) and 95–205 nuclear–plastid segments (NUPTs). These results showed that NUMTs were under strong selection and were more abundant in cultivated grapes, whereas NUPTs dominated in wild grapes, indicating the evolutionary trajectories of cytonuclear interactions during grape domestication. Through Genome-Wide Association Study (GWAS), we identified 84 candidate genes associated with mitochondrial–nuclear genome interactions. Among these, the PFD1 gene acts as a signaling regulator, modulating specific signaling pathways regulated by the mitochondria. Interestingly, there are significantly more cytonuclear interaction genes near NUMTs than in other genomic regions, suggesting NUMT-mediated interactions between the nuclear and mitochondrial genomes. Overall, our study provides evidence that NUMTs promote cytonuclear interaction during grapevine domestication, offering new insight into the impact of cytonuclear interactions on plant evolution, genetics, and breeding.

Base editing technologies can improve crops, but their efficiency in maize remains suboptimal. This study attempts to overcome these limitations by examining optimized cytosine and adenine base editors (CBEs and ABEs), namely evoAPOBEC1, evoFERNY, evoCDA1, TadA8.20, and TadA8e, for precise genome editing in transient and stable expression maize cells. Employing a seed fluorescence reporter (SFR) system for rapid screening of BE transformants and transgene-free progenies, we enhanced editing efficiencies and heritability. Notably, TadA8.20 and evoCDA1 attained multiplexed editing efficiencies of up to 100.0% and 79.0% at the tested loci, respectively, with some homozygous and bi-allelic mutants exceeding 72.4% and 73.7%. Precise editing of ZmACC1/2 (acetyl-CoA carboxylase) improved herbicide resistance, with ZmACC2 mutants displaying improved performance. This study advances crop genetic engineering by facilitating robust, multi-locus modifications without altered agronomic performance, enhancing herbicide tolerance in maize. The successful utilization of these BE is a significant step forward in agricultural biotechnology and precision breeding.

Rice black-streaked dwarf virus (RBSDV) is a major viral pathogen threatening rice production worldwide. However, the molecular mechanisms underlying the arms race between RBSDV and its host remain largely elusive. Here, we demonstrate that RBSDV infection, or the expression of viral RNA-silencing suppressor protein P6, promotes the ubiquitination and degradation of rice small ubiquitin-like modifiers (SUMO) conjugating enzyme 1b (OsSCE1b). OsSCE1b catalyzes the SUMOylation of OsPelota, a protein involved in plant antiviral RNA decay. Furthermore, RBSDV P6 enhances the interaction between rice ubiquitin E3 ligases SINAT3/4/5 and OsSCE1b in the cytoplasm, leading to increased ubiquitination and degradation of OsSCE1b. Rice plants overexpressing OsSCE1b exhibited reduced susceptibility to RBSDV infection. Conversely, OsSCE1b knockdown and knockout lines, as well as OsPelota knockout lines, were more susceptible, indicating that both OsSCE1b and OsPelota negatively regulate RBSDV infection. Additionally, our findings show that OsSCE1b-catalyzed SUMOylated OsPelota interacts with the Hsp70 subfamily B suppressor OsHBS1, forming a complex that degrades RBSDV genomic RNAs containing one or more GA₆ motifs. Taken together, our data demonstrate that OsSCE1b negatively regulates RBSDV infection by promoting OsPelota SUMOylation and activating the antiviral RNA decay activity of the OsPelota–OsHBS1 complex. Conversely, RBSDV P6 promotes viral infection by enhancing OsSCE1b ubiquitination and degradation, thereby suppressing OsPelota SUMOylation and the rice antiviral RNA decay defense response.