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High oil and protein content make tetraploid peanut a leading oil and food legume. Here we report a high-quality peanut genome sequence, comprising 2.54 Gb with 20 pseudomolecules and 83,709 protein-coding gene models. We characterize gene functional groups implicated in seed size evolution, seed oil content, disease resistance and symbiotic nitrogen fixation. The peanut B subgenome has more genes and general expression dominance, temporally associated with long-terminal-repeat expansion in the A subgenome that also raises questions about the A-genome progenitor. The polyploid genome provided insights into the evolution of Arachis hypogaea and other legume chromosomes. Resequencing of 52 accessions suggests that independent domestications formed peanut ecotypes. Whereas 0.42–0.47 million years ago (Ma) polyploidy constrained genetic variation, the peanut genome sequence aids mapping and candidate-gene discovery for traits such as seed size and color, foliar disease resistance and others, also providing a cornerstone for functional genomics and peanut improvement.

Soil bacteria are vital to ecosystem resilience and resistance, yet ecological attributes and the drivers governing their composition and distribution, especially for taxa varying in ecological traits and inhabiting different ecosystems, are not fully understood. Here, we analyzed a large-scale bacterial community and environmental dataset of 622 soil samples systematically collected by us from six major terrestrial ecosystems across the United States. We show that soil bacterial diversity and composition significantly differ among ecotypes and ecosystems, partially determined by a few universal abiotic factors (e.g., soil pH, calcium, and aluminum) and several ecotype- or ecosystem-specific ecological drivers. Co-occurrence network analysis suggests that rare taxa have stronger ecological relevance to the community than abundant taxa. Ecological models revealed that deterministic processes shape assembly of abundant taxa and generalists, while stochastic processes played a greater role in rare taxa and specialists. Also, bacterial communities in the shrubland ecosystem appear to be more sensitive to environmental changes than other ecosystems, evidenced by the lowest diversity, least connected community network, and strongest local environmental selection driven by surrounding land use. Overall, this study reveals ecological mechanisms underlying the bacterial biogeography in terrestrial ecosystems nationwide and highlights the need to preserve rare biosphere and shrubland ecosystems amid environmental disturbance. Determinants of soil microbial community structure are less well studied. Here, Riddley et al. profile nationwide bacterial biogeographic patterns, and identify key environmental factors and distinct roles of deterministic and stochastic processes in shaping ecotype community assembly across terrestrial ecosystems.

Plant genetic and metabolic cues are involved in assembling their “core microbiome” under normal growth conditions. However, whether there is a core “stress responsive microbiome” among natural plant ecotypes remains elusive. Drought is the most significant abiotic stress worldwide. Characterizing conserved core root microbiome changes upon drought stress has the potential to increase plant resistance and resilience in agriculture. We screened the drought tolerance of 130 worldwide Arabidopsis ecotypes and chose the extremely drought tolerant and sensitive ecotypes for comparative microbiome studies. We detected diverse shared differentially abundant ASVs, network driver taxa among ecotypes, suggesting the existence of core drought-responsive microbiome changes. We previously identified 1479 microorganisms through high-throughput culturing, and successfully matched diverse core drought responsive ASVs. Our phenotypic assays validated that only those core drought responsive ASVs with higher fold changes in drought tolerant ecotypes were more likely to protect plants from stress. Transcriptome analysis confirmed that a keystone strain, Massilia sp. 22G3, can broadly reshape osmotic stress responses in roots, such as enhancing the expression of water up-taking, ROS scavenging, and immune genes. Our work reveals the existence of a core drought-responsive microbiome and demonstrates its potential role in enhancing plant stress tolerance. This approach helps characterize keystone “core drought responsive” microbes, and we further provided potential mechanisms underlying Massilia sp. 22G3 mediated stress protection. This work also provided a research paradigm for guiding the discovery of core stress-alleviating microbiomes in crops using natural ecotypes (cultivars).

Evolution is an on-going process, and it can be studied experimentally in organisms with rapid generations. My team has maintained 12 populations of Escherichia coli in a simple laboratory environment for >25 years and 60 000 generations. We have quantified the dynamics of adaptation by natural selection, seen some of the populations diverge into stably coexisting ecotypes, described changes in the bacteria’s mutation rate, observed the new ability to exploit a previously untapped carbon source, characterized the dynamics of genome evolution and used parallel evolution to identify the genetic targets of selection. I discuss what the future might hold for this particular experiment, briefly highlight some other microbial evolution experiments and suggest how the fields of experimental evolution and microbial ecology might intersect going forward.

Microbial community responses to environmental change are largely associated with ecological processes; however, the potential for microbes to rapidly evolve and adapt remains relatively unexplored in natural environments. To assess how ecological and evolutionary processes simultaneously alter the genetic diversity of a microbiome, we conducted two concurrent experiments in the leaf litter layer of soil over 18 mo across a climate gradient in Southern California. In the first experiment, we reciprocally transplanted microbial communities from five sites to test whether ecological shifts in ecotypes of the abundant bacterium, Curtobacterium, corresponded to past adaptive differentiation. In the transplanted communities, ecotypes converged toward that of the native communities growing on a common litter substrate. Moreover, these shifts were correlated with community-weighted mean trait values of the Curtobacterium ecotypes, indicating that some of the trait variation among ecotypes could be explained by local adaptation to climate conditions. In the second experiment, we transplanted an isogenic Curtobacterium strain and tracked genomic mutations associated with the sites across the same climate gradient. Using a combination of genomic and metagenomic approaches, we identified a variety of nonrandom, parallel mutations associated with transplantation, including mutations in genes related to nutrient acquisition, stress response, and exopolysaccharide production. Together, the field experiments demonstrate how both demographic shifts of previously adapted ecotypes and contemporary evolution can alter the diversity of a soil microbiome on the same timescale.

SAR11 bacteria are ubiquitous and abundant heterotrophs that are important mediators of marine biogeochemical cycles. Within the SAR11 clade smaller ecotypes inhabit different ecological niches. Using metagenomic read placement onto a phylogenetic tree of RNA polymerase (rpoB), we were able to determine the distribution of different ecotypes both geographically and by depth. Our method avoids biases from the absence of quality sequenced genomes for deep SAR11 ecotypes. Depth profiles that range from the surface to the bathypelagic were analyzed at 30 stations in six ocean basins. In the euphotic zone, changes in the dominant primary producer from eukaryotic algae to cyanobacteria, did not cause the abundance of SAR11 to shift between stations. However, specific SAR11 ecotypes did correlate with eukaryotic phytoplankton (1a.3 and 1a.4) or picocyanobacteria (1b.2, 1b.4, and IIaB). In the lower euphotic and mesopelagic zones, group IIb.x was overwhelmingly the dominant species but group 1c was also present, and we found several new deep subecotypes of 1b. The shift between the surface SAR11 community, dominated by 1a and surface 1b subecotypes, and the mesopelagic ecotype groups, corresponded to the maximum decrease in the light-dependent proteorhodopsin/rpoB ratio, indicating that many deep ecotypes did not possess proteorhodopsin. This ecotype switch repeatedly corresponded to the maximum in Low Light I Prochlorococcus, leading to the hypothesis that changes in light motivates the ecotype switch. Environmentally abiotic factors like light and temperature appear to be determining factors in the SAR11 ecotype distribution throughout the global oceans.

Marine stickleback fish have colonized and adapted to thousands of streams and lakes formed since the last ice age, providing an exceptional opportunity to characterize genomic mechanisms underlying repeated ecological adaptation in nature. Here we develop a high-quality reference genome assembly for threespine sticklebacks. By sequencing the genomes of twenty additional individuals from a global set of marine and freshwater populations, we identify a genome-wide set of loci that are consistently associated with marine–freshwater divergence. Our results indicate that reuse of globally shared standing genetic variation, including chromosomal inversions, has an important role in repeated evolution of distinct marine and freshwater sticklebacks, and in the maintenance of divergent ecotypes during early stages of reproductive isolation. Both coding and regulatory changes occur in the set of loci underlying marine–freshwater evolution, but regulatory changes appear to predominate in this well known example of repeated adaptive evolution in nature. A reference genome sequence for threespine sticklebacks, and re-sequencing of 20 additional world-wide populations, reveals loci used repeatedly during vertebrate evolution; multiple chromosome inversions contribute to marine-freshwater divergence, and regulatory variants predominate over coding variants in this classic example of adaptive evolution in natural environments. The genomics of stickleback speciation Threespine sticklebacks have become a powerful model for studying the molecular basis of adaptive evolution. This paper presents a high-quality reference genome sequence, along with genomes of 20 further individuals from a global set of marine and freshwater populations. Genomic analysis reveals that reuse of globally shared standing genetic variation plays an important part in repeated evolution of distinct stickleback populations, and in the maintenance of divergent ecotypes during early stages of reproductive isolation. The data are consistent with an important role for regulatory changes during parallel evolution of marine and freshwater sticklebacks.

Background Rapeseed oil is widely recognized for its health benefits; however, the relationships between its metabolites and factors such as ecotypes, geographical regions, plant traits, and diabetes risk remain poorly understood. This study delves into the metabolic diversity of rapeseed across various ecotypes and geographical origins, while also examining its potential associations with plant traits and diabetes incidence rates. Results Comprehensive metabolomic analysis of 125 rapeseed accessions reveals substantial variations in 2,603 out of 6,048 detected metabolites, encompassing 107 fatty acyls, 124 flavonoids, and 10 phenolic compounds. These metabolic variations likely stem from the complex interplay of genetic divergence, historical selection, environmental adaptability of varieties, and other contributing factors. Penalized regression analysis reveals 24 metabolites associated with the length of the main inflorescence and 26 metabolites linked to the silique count of the main inflorescence, highlighting the possible metabolic underpinnings of these structural traits. Notably, specific metabolites–identified as docosatrienoic acid (M335T887_POS), uridine monophosphate (UMP, M340T917_NEG), and rosmarinate (M719T323_NEG)–are significantly associated with diabetes incidence. These associations suggest a potential link between the consumption of rapeseed and diabetes risk. Conclusions Our findings illustrate the putative links between agricultural production, plant metabolism, and human health. The study emphasizes the potential to enhance rapeseed’s nutritional profile and improve health outcomes through targeted breeding or metabolic engineering of specific metabolites. Further research is crucial to unravel the underlying mechanisms and to develop sustainable food strategies aimed at optimizing health benefits.

Cadmium (Cd) is highly toxic to most organisms, but some rare plant species can hyperaccumulate Cd in aboveground tissues without suffering from toxicity. The mechanism underlying Cd detoxification by hyperaccumulators is interesting but unclear. Here, the heavy metal ATPase 3 (SpHMA3) gene responsible for Cd detoxification was isolated from the Cd/zinc (Zn) hyperaccumulator Sedum plumbizincicola. RNA interference (RNAi)-mediated silencing and overexpression of SpHMA3 were induced to investigate its physiological functions in S. plumbizincicola and a nonhyperaccumulating ecotype of Sedum alfredii. Heterologous expression of SpHMA3 in Saccharomyces cerevisiae showed Cd-specific transport activity. SpHMA3 was highly expressed in the shoots and the protein was localized to the tonoplast. The SpHMA3-RNAi lines were hypersensitive to Cd but not to Zn, with the growth of shoots and young leaves being severely inhibited by Cd. Overexpressing SpHMA3 in the nonhyperaccumulating ecotype of S. alfredii greatly increased its tolerance to and accumulation of Cd, but not Zn. These results indicate that elevated expression of the tonoplast-localized SpHMA3 in the shoots plays an essential role in Cd detoxification, which contributes to the maintenance of the normal growth of young leaves of S. plumbizincicola in Cd-contaminated soils.

Modeling plants for biomass production and metal uptake from surrounding environment is strongly dependent on the moisture content of soil. Therefore, experiments were conducted to find out how soil moisture affects the phenotypic traits, photosynthetic efficiency, metabolic profile, and metal accumulation in the hyperaccumulating ecotype of Sedum alfredii ( S. alfredii ). A total of six water potential gradients were set: 0 ~ −15 kPa (T1), −15 ~ −30 kPa (T2), −30 ~ −45 kPa (T3), −45 ~ −60 kPa (T4), −60 ~ −75 kPa (T5), and −75 ~ −90 kPa (T6). Different water potential treatments had a significant effect on plant growth and metal uptake efficiency. Compared to T3, T2 was more effective in promoting plant growth and development, with an increase in biomass of 23% and 17% in both fresh weight (FW) and dry weight (DW), respectively. T2 and T3 had the highest cadmium (Cd) content in the shoot (280.2 mg/kg) and (283.3 mg/kg), respectively, whereas T1 had the lowest values (204.7 mg/kg). Cd availability for plants in the soil was affected by moving soil moisture cycles. Changes in soil moisture that were either too high or too low compared to the ideal soil water content for S. alfredii growth resulted in a significant reduction in Cd accumulation in shoots. Tryptophan, phenylalanine, and other amino acids were accumulated in T5, whereas only tryptophan and phenylalanine slightly increased in T1. Sugars and alcohols such as sucrose, trehalose, mannitol, galactinol, and mannobiose increased in T5, while they decreased significantly in T1. Interestingly, in contrast to T1, the two impaired metabolic pathways in T5 (galactose and starch metabolism) were identified to be glucose metabolic pathways. These findings provide scientific information (based on experiments) to improve biomass production and metal uptake efficiency in hyperaccumulating ecotype of S. alfredii for phytoremediation-contaminated agricultural fields.