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Climate-Driven Niche Tracking and Genomic Resilience Shape Future Distribution of a Widespread Agricultural Weed.

Understanding how agriculturally important species respond to environmental change is critical for maintaining productivity, mitigating agroecosystem threats and sustaining resilience. While crops have traditionally been the focus in agroecosystems, agricultural weeds are integral components that often face even stronger selective pressures, making them powerful models for investigating ecological and evolutionary responses to climatic and human-mediated challenges. Insights from how weeds adapt rapidly under these pressures can inform strategies to improve agricultural outcomes, since both pests and crops evolve under the same multivariate selective pressures. Here, we integrate two centuries of distribution records with whole-genome sequencing from natural populations of the most damaging weed in Europe-Alopecurus myosuroides (blackgrass) - to examine its ecological and evolutionary responses in agroecosystems. Blackgrass largely maintained its historical climatic niche, expanding its range primarily by tracking environments analogous to those it historically occupied. Genome-wide analyses revealed a polygenic basis of environmental responses, with most loci linked to single environmental variables and a subset showing limited environmental pleiotropy, indicating modular adaptation to the complex selective pressures of managed agricultural landscapes. Coupling these genomic-environment relationships with projected climate change and genomic offset analyses indicated that most blackgrass populations will remain well aligned with future conditions. Our findings show that ecological niche tracking and polygenic adaptation allow agricultural weeds like blackgrass to persist under rapid environmental change, offering insights relevant not only for weed management but also for designing resilient cropping systems under future climates.

Plant Weeds

Cytogenetics and genomics analysis of cold-hardy perennial wheatgrass: insights into agronomic performance, chromosome composition, and gene expression.

Intermedium wheatgrass (Thinopyrum intermedium), a perennial species with extensive root systems and high tolerance to cold, drought, and salinity, is a valuable genetic resource for the development of perennial crops. Over a decade-long selection process, two cold-hardy perennial wheatgrass lines were developed by crossing wheat-Thinopyrum partial amphiploids with Th. intermedium. These lines inherited key traits from Th. intermedium, including plant stature, spike morphology, and postharvest regrowth. Transcriptome-based single-nucleotide polymorphism tracing and sequential multicolor genomic in situ hybridization analyses revealed variations in the chromosome compositions of the perennial wheatgrass lines. The introgression of wheat chromosomes enhanced grain weight and size, while preserving the cold-hardy, perennial characteristics of the wheatgrass lines compared to Th. intermedium. Genome-wide gene expression was generally suppressed in the wheatgrass lines relative to Th. intermedium, particularly in conserved genes. This suppression was especially pronounced in genes involved in cell division and DNA repair pathways. In contrast, genes associated with cold tolerance and the water stress response were upregulated. We identified eight cold-tolerance genes in the Th. intermedium chromosomes and validated three of them, Thint.J05G452200, Thint.J05G452300, and Thint.V05G408900, using qRT-PCR. These genes encode proteins associated with cold tolerance and are potential candidates for further functional validation. Additionally, three chromosomes from homoeologous group 6 were introgressed, carrying six genes potentially associated with superior grain traits. Among them, TraesCS6D02G287800, which encodes a specific protein, exhibited high expression levels in both wheatgrass lines, suggesting its critical role in enhancing grain traits. Our results indicate that the suppression of grass gene expression, likely due to the introgression of wheat chromosomes and the upregulation of pathways related to cold tolerance and overwintering ability, contributes to the adaptive features of the wheatgrass lines. This study provides a genomic foundation for understanding gene expression regulation in distant hybrid progeny and offers valuable insights for designing new breeding strategies for perennial wheat or wheatgrass.

Chromosomes, Plant

Contrasting rhizosphere nitrogen dynamics in Andropogoneae grasses.

Nitrogen (N) fertilization in crop production significantly impacts ecosystems, often disrupting natural plant-microbe-soil interactions and causing environmental pollution. This study tested the hypothesis that diverse species adapting independently to various environments might exhibit a wide range of rhizosphere nutrient management strategies, and some of them may be conducive to an efficient N economy for crops. We analyzed the N cycle in the rhizospheres of 36 Andropogoneae grass species related to maize and sorghum and observed significant phylogenetic variation among their impacts on N availability and losses. All three annual species examined, including sorghum and maize, function as N 'Conservationists', reducing soil nitrification potential and conserving NH4 +. In contrast, seven of the assayed perennial species enhance nitrification and leaching ('Leachers'). Four other species exhibit similar nitrification stimulation effects but limited NO3 - losses ('Nitrate Keepers'). We complemented the controlled phenotypic evaluation with an evolutionary-ecological analysis of the same species. We identified several soil characteristics associated with the phylogenetic variation in rhizosphere N dynamics across grasses and highlighted the crucial roles of a few transporter genes in soil N management and utilization. In addition to the ecological and genetic insights, these findings offer valuable guidelines for future maize breeding efforts to enhance agricultural N efficiency and sustainability.

Rhizosphere

Genome-wide identification, characterization, and expression pattern analysis of the glyoxalase gene family in Phyllostachys pubescens during abiotic stresses.

BACKGROUND: The glyoxalase pathway comprising of three enzymes i.e., glyoxalase I (GLYI), glyoxalase II (GLYII), and glyoxalase III (GLYIII), which play vital role in mitigating abiotic stresses by detoxifying the stress induced cytotoxic metabolite methylglyoxal (MG). Phyllostachys pubescens an ecologically and economically important forest species, plays vital roles in carbon sequestration and climate change mitigation. A genome-wide study was conducted to identify and characterize GLYI, GLYII, and unique DJ-1/GLYIII gene candidates in P. pubescens. The identified members were evaluated based on phylogenetic analysis, gene structure, chromosomal distribution, gene duplication, presence of conserved domain(s) and cis regulatory region. RESULTS: A total of 19 GLYI, 18 GLYII, and 15 GLYIII members were identified, each featuring characteristic domains: glyoxalase, metallo-β-lactamase, and DJ-1/PfpI, respectively. The presence of different cis-elements in the promoter region of the glyoxalase genes gives insights into their role and regulation under hormonal response, developmental processes and stress adaptation. Besides this, stress responsive transcription factors binding sites also dominated the promoter regions of glyoxalase genes. Expression analysis of various glyoxalase genes demonstrated significant variability under different stress conditions, underscoring their potential roles in stress modulation. Significant upregulation of all of the PhGLYI, PhGLYII, and PhGLYIII were observed under cold, drought, heavy metal and salinity stress suggesting their involvement in oxidative stress management, osmotic regulation and remodelling cellular redox homeostasis. Among the glyoxalase genes, PhGLYI-15, PhGLYII-9, and PhGLYIII-3 showed consistent upregulation under various abiotic stresses. CONCLUSIONS: Our findings reveal that glyoxalase genes crucially contribute towards the improvement of cellular osmotic potential in moso bamboo under different abiotic stresses. This study enhances our understanding of glyoxalase genes' evolution and functional roles in plants and opens new avenues for developing stress resilient crop varieties for sustainable agriculture.

Lactoylglutathione Lyase

SSR marker development for analysis of the genetic diversity and identification of species and infraspecific ranks in the genus Phyllostachys.

Bamboo plants possess important ecological, economic, and cultural values. However, it is difficult to accurately identify them on the basis of their morphological traits alone. Here, based on the whole-genome data of moso bamboo (Phyllostachys edulis) and its 20 forms, we conducted preliminary identification and comparative analyses of simple sequence repeats (SSRs) to develop molecular markers. In total, 3,835,632 SSR loci were identified from 31,537.81 Mb of genomic sequences, among which dinucleotide SSRs were the most abundant. Most SSRs were located in intergenic regions, whereas relatively fewer were in genic regions. In addition, we found that SSR-containing genes involved in plant hormone signal transduction may be associated with the morphogenesis of moso bamboo, which was speculated to be related to differential gene expression patterns among different forms. Furthermore, 206 SSR primer pairs with polymorphisms were obtained to analyse the genetic diversity of moso bamboo and its forms, which exhibited moderate polymorphism. The proportion of genetic variation among species within the genus Phyllostachys was 58%, while that within species was 42%. Moso bamboo and its 20 forms had relatively close genetic relationships and low genetic differentiation, while 20 species of the genus Phyllostachys were clustered into three groups with distinct levels of genetic diversity. Finally, DNA fingerprints and molecular identity cards were constructed for 20 moso bamboo forms and 20 species of the genus Phyllostachys using core SSR markers. These results provide novel SSR markers for bamboo identification, germplasm conservation, and molecular marker-assisted breeding.

Microsatellite Repeats

Transposable elements create distinct genomic niches for effector evolution among Magnaporthe oryzae lineages.

BACKGROUND: Plant-pathogen interactions are characterized by evolutionary arms races. At the molecular level, fungal effectors can target important plant functions, while plants evolve to improve effector recognition. Rapid evolution in genes encoding effectors can be facilitated by transposable elements (TEs). In Magnaporthe oryzae, the causal agent of blast disease in several cereals and grasses, TEs play important roles in chromosomal evolution as well as the gain or loss of effector genes in host specialized lineages. However, a global understanding of TE dynamics driving effector evolution at population scale and across lineages is lacking. RESULTS: Here, we focus on 16 AVR effector loci assessed across a global sampling of 11 reference genomes and 447 newly generated draft genome assemblies from publicly available short-read sequencing data across all major M. oryzae lineages and outgroups. We classified each effector based on evidence for duplication, deletion and translocation processes among lineages. Next, we determined AVR gain and loss dynamics across lineages allowing for a broad categorization of effector dynamics. Each AVR was integrated in a distinct genomic niche determined by the TE activity profile contributing to the diversification at the locus. We quantified TE contributions to effector niches and found that TE identity helped diversify AVR loci. We used the large genomic dataset to recapitulate the evolution of the rice blast AVR1-CO39 locus. CONCLUSIONS: Taken together, our work demonstrates how TE dynamics are an integral component of M. oryzae effector evolution, likely facilitating escape from host recognition. In-depth tracking of effector loci is a valuable tool to predict the durability of host resistance.

Ascomycota

Breaking the reproducibility barrier with standardized protocols for plant-microbiome research.

Inter-laboratory replicability is crucial yet challenging in microbiome research. Leveraging microbiomes to promote soil health and plant growth requires understanding underlying molecular mechanisms using reproducible experimental systems. In a global collaborative effort involving five laboratories, we aimed to help advance reproducibility in microbiome studies by testing our ability to replicate synthetic community assembly experiments. Our study compared fabricated ecosystems constructed using two different synthetic bacterial communities, the model grass Brachypodium distachyon, and sterile EcoFAB 2.0 devices. All participating laboratories observed consistent inoculum-dependent changes in plant phenotype, root exudate composition, and final bacterial community structure, where Paraburkholderia sp. OAS925 could dramatically shift microbiome composition. Comparative genomics and exudate utilization linked the pH-dependent colonization ability of Paraburkholderia, which was further confirmed with motility assays. The study provides detailed protocols, benchmarking datasets, and best practices to help advance replicable science and inform future multi-laboratory reproducibility studies.

Plants

Assessment of genomic prediction and genetic gain in multi‑population half-sib families in the perennial grass crop intermediate wheatgrass.

The University of Minnesota has been domesticating the perennial forage intermediate wheatgrass (IWG) since 2011 using a combination of conventional methods and modern breeding tools such as genomic selection. Globally, most IWG selection nurseries are spaced-planted individuals of several hundred genotypes whereas commercial fields established for grain production are row-planted panmictic populations. This study evaluated genomic prediction models and estimated genetic gain in yield and agronomic performance of row-planted IWG half-sib families assessed over 3 years and 2 locations, Lamberton and St. Paul, MN, USA. The strongest trait correlation was negative (r = -0.49) between 2023 St. Paul height and 2022 St. Paul seed size. The three St. Paul environments were more similar for plant height and seed size and so were the Lamberton environments yet no specific trend was observed for grain yield. Evaluation of different univariate and multivariate genomic prediction models showed that multivariate models outperformed the best univariate models by 23 percentage points, yet no single multivariate model was the best predictor of all traits. Cross-environment predictions were the best among St. Paul environments and no single environment was the best predictor of the remaining environments. Genetic gain estimates indicated a 20 kg ha-1 increase in grain yield and 3 cm reduction in plant height per breeding cycle. While no single model predicted all traits with high accuracy, results obtained in this study suggest that evaluating IWG sibs in row plots followed by genomic trait predictions could lead to desired breeding progress for desired traits.

Poaceae