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Biology subjects

Ling, L.

Publications and source records attributed to Ling, L..

At least 19 recordsLinked to original sources

A staircase model for the co-evolution of Bradyrhizobium and legumes dated by non-symbiotic relatives

The transition from free-living bacteria to mutualistic symbionts is a major evolutionary innovation, but its timing and stepwise nature remain unresolved because non-symbiotic ancestors have rarely been sampled. Here we isolated 10 Bradyrhizobium strains from non-legume plants and soils, and discovered three basal clades within the B. japonicum supergroup that completely lack nodulation (nod) genes, which are required for Nod factor synthesis and legume symbiosis. To date the emergence of symbiosis, we employed a mitochondrial endosymbiosis-based molecular clock dating framework that jointly estimates the divergence times of bacterial symbionts and their hosts in a single analysis. Using these non-nodulating lineages as evolutionary anchors, we show that nodulating B. japonicum arose contemporaneously with nodulating legumes most likely around 90-80 million years ago. Excluding these basal clades makes rhizobial nodulation appear to predate nodulating legumes, while the use of the poorly-fitting homogeneous models produces a similar temporal distortion. The inferred patterns are robust to alternative calibration strategies, gene sets, and mixture models. Together, these findings highlight the importance of comprehensive taxon sampling and appropriate substitution models in relaxed molecular clock dating, and support a co-emergence model in the origin of legume-rhizobia mutualism.

evolutionary biology↗

SpatialBench: Comparative cross-platform benchmarking of high-resolution spatial transcriptomics using matched mouse lymphoid tissue

Spatial transcriptomics (ST) has rapidly expanded with the introduction of multiple high-resolution platforms, yet cross-platform benchmarking remains limited and largely focused on technical performance. Here we present SpatialBench, a matched multi-platform resource comprising Visium HD, Xenium and MERSCOPE data together with single-cell and single-nucleus references from a malaria-challenged wild-type and B cell-specific Tbx21 knockout mouse spleen model. In this system, loss of T-bet in B cells disrupts germinal center (GC) polarization and antibody maturation, providing a biologically grounded benchmark for technology comparison. We leveraged this system to systematically evaluate ST platform performance using technical and biological readouts. Across platforms, immune organization and Tbx21-associated programs were consistently recovered, indicating robustness of major biological signals. Platforms instead differed in the level of biological resolution accessible. Visium HD enabled transcriptome-scale GC characterization and, together with Xenium, resolved dark and light zone organization, whereas GC zonation was not resolved in MERSCOPE, consistent with differences in transcript detection sensitivity. SpatialBench provides a biologically defined reference dataset for evaluation of ST technologies, method development, computational benchmarking, and studies of GC spatial organization in lymphoid tissue.

bioinformatics↗

Shape Factor Analysis as a Quantitative Framework for Assessing Spheroid and Organoid Morphology and Invasiveness

Morphological changes of spheroids and organoids are widely used as in vitro indicators of healthy and diseased tissue functions; however, quantitative methods to classify spheroid and organoid morphology are limited. In clinical breast imaging, radiologists use tumor shape as a prognostic marker, with irregular margins associated with invasive disease and increased malignancy. Here, we adapted this approach for translational research and developed a custom MATLAB algorithm to quantify the variance in radial lengths of invasive protrusions in spheroids and organoids. First, we analyzed digital phantoms by both ImageJ/FIJI shape descriptors and our radial length analysis to evaluate the capabilities of each measurement method. Subsequently, we performed the same comparisons with images from experimental spheroid and organoid datasets. We demonstrate that multivariate shape factor analysis, including radial length analysis, enables more reliable and comprehensive quantification of spheroid and organoid morphologies than standard shape descriptors alone. By enabling numerical morphological readouts, shape factor analysis can enhance phenotypic profiling of spheroids and organoids and provide valuable metrics for in vitro studies including high-throughput and drug screening workflows.

bioengineering↗

Bioenergetic responses to β-adrenergic stimulation in beige adipocyte depend on actomyosin driven forces

Beige (BeAT) and white adipoctyes (WAT) reside within the same fat depots but differ in their responses to {beta}-adrenergic stimulation. While both activate classical PKA-mediated pathways, only beige adipocytes show induction of UCP1 expression and enhanced mitochondrial respiration, suggesting additional mechanisms that distinguish their responses. Here we uncover a parallel, non-canonical biomechanical pathway specific to beige adipocytes that is essential for thermogenic activation. Mechanistically, {beta}-AR stimulation induces a rapid Myh9-mediated actomyosin contraction and stiffening in beige, but not white, adipocytes that activates focal adhesion kinase (FAK), which we show to be critical for the expression of oxidative and thermogenic genes including UCP1 and PLIN5. These findings reveal a new biomechanical Myh9-FAK signaling arm downstream of b-adrenergic activation that differentiates thermogenic from white adipocytes.

cell biology↗

Active learning guides automated discovery of DNA delivery via electroporation for non-model microbes

Delivery of recombinant DNA is foundational for understanding and engineering a target organism. Electroporation can be applied to any cell type, yet identification of a working protocol for new organisms remains bespoke and laborious because no systematic framework exists, and appropriate instrumentation is lacking. Here, we describe an automated high-throughput platform which uses active learning to discover electroporation protocols for non-model microbes. We first devised a 24-condition electroporation screen, based on systematic evaluation and selection of key parameters, that can be applied to any microbe. Facilitated by a custom-built fully-programmable electroporator, we successfully identified electroporation protocols for eight non-model bacteria using this screen alone. We then combined this electroporation screen with our pooled POSSUM plasmid library to simultaneously evaluate 408 experimental conditions per organism and identified both a protocol and a replicating plasmid for five non-model Proteobacteria spanning three major classes (alpha-, beta-, and gamma-). We report the first electroporation protocols for Shewanella indica, Shewanella putrefaciens 200, Shewanella putrefaciens 95, Halomonas elongata, Piscinibacter sakaiensis, and Duganella zoogloeoides, as well as multiple alternative protocols for Shewanella amazonensis, Shewanella oneidensis, Azospirillum brasilense, Cupriavidus necator, Pseudomonas alcaliphila, and Escherichia coli. Finally, we developed an active learning pipeline to guide the selection of parameters based on gathered experimental data. Using our robotic platform, we iteratively tested 538 conditions over three iterations to improve electroporation for the emerging industrial chassis C. necator, achieving 8.6-fold higher transformation efficiency than state of the art. This work establishes a discovery platform for DNA delivery to diverse and recalcitrant microbes that can be extended broadly to non-model organisms in our biosphere.

microbiology↗

ULK1/2 Inhibitors that Degrade ATG13 Effectively Target KRAS-Mutant Cancers

KRAS mutations drive tumorigenesis in multiple cancer types, including lung and pancreatic cancer. Autophagy is a cell survival pathway that supports tumor growth under metabolic stress and has been proposed to be a potential therapeutic avenue specifically in KRAS mutant cancers. The Unc-51-like ATG-activating kinases 1 and 2 (ULK) initiate the earliest regulated steps of autophagy and are the only protein kinases in the canonical autophagy pathway, thus making them attractive therapeutic targets for KRAS mutant tumors. We show here that genetic depletion of ULK1 or ATG13, core components of the ULK1 complex, in KRAS mutant lung and pancreatic cancer cell lines results in growth inhibition. Previously, we developed small molecule ULK1 inhibitors that not only inhibit ULK kinase activity but also induced the degradation of other core members of the ULK complex including ATG101 and ATG13. Therefore, we developed a high-throughput screening (HTS) assay in which ATG13 was HiBiT-tagged in KRAS mutant lung cancer cells to evaluate ULK inhibitors for ATG13 degradation. Using this approach, we discovered a lead ULK inhibitor, SBP-1750, that potently inhibited ULK activity, promoted robust ATG13 degradation, impaired ATG, and induced KRAS mutant cancer cell death. Studies in a KRAS-mutant orthotopic syngeneic pancreatic cancer model show that oral treatment with SBP-1750 significantly reduced tumor growth. Pharmacokinetic analysis of SBP-1750 indicates favorable drug exposure and pharmacodynamic analysis confirms ATG13 degradation in vivo, mirroring in vitro results. Finally, immunohistochemical staining of orthotopic pancreatic tumors reveals a significant increase in CD4 and CD8 T cell infiltration upon treatment, suggesting that SBP-1750 enhances anti-tumor immunity. These findings support further development of SBP-1750 as a novel ATG-targeting cancer therapy.

cancer biology↗

Assessing cellular metabolic dynamics with NAD(P)H fluorescence polarization imaging

Altered metabolism enables adaptive advantages for cancer, driving the need for improved methods for non-invasive long-term monitoring of cellular metabolism from organelle to population level. Here we present two-photon steady-state fluorescence polarization ratiometric microscopy (FPRM), a label-free imaging method that uses nicotinamide adenine dinucleotide (phosphate) (NAD(P)H) autofluorescence as a functional readout of cellular metabolism. The method is simple to implement and operates an order of magnitude faster than the NAD(P)H-fluorescence lifetime imaging microscopy (FLIM) imaging modality, reducing cytotoxic stress while providing long-term monitoring capacity. FPRM enables high-resolution dynamic tracking of NAD(P)H signals with subcellular details and we have established a set of instrument-independent ratiometric parameters that correlates NAD(P)H signals with metabolic status during pharmaceutical and environmental perturbations. We further integrated FPRM readouts with other parameters such as cell shape and migration on 2D and 3D collagen matrices, demonstrating the techniques versatility across bioengineered platforms for cancer metabolism research.

biophysics↗

Caffeic acid promoted deep vein thrombosis resolution in mice by suppressed macrophage M1 polarization through Keap1/Nrf2 pathwayv

BackgroundDeep vein thrombosis (DVT) carries significant health risks, with macrophages playing a key role in thrombus resolution. Caffeic acid (CA) has been shown to inhibit thrombosis, but its role in DVT resolution remains unclear. PurposeThis study aimed to investigates the effects and mechanisms of CA in accelerating DVT resolution. MethodsA stasis-type DVT model was established in mice via inferior vena cava ligation. The effects of CA were analyzed. Thrombus resolution was assessed using histological staining, gelatin zymography, immunoblotting, and immunofluorescence. Macrophage depletion was conducted with chlorophosphate liposomes, and bone marrow-derived macrophages (BMDMs) were used for polarization studies. RNA sequencing identified potential molecular pathways. Nrf2 gene-deficient mice were used to verify the role of Nrf2 in deep vein thrombus resolution. ResultsCaffeic acid reduced thrombus size, enhanced collagenolysis via increased MMP-2 activity, promoted neovascularization, increased macrophage infiltration, and suppressed M1 polarization and inflammation. CA activated the nuclear factor erythroid 2-related factor 2 (Nrf2) pathway by inhibiting Keap1, leading to enhanced antioxidant responses in both BMDMs and thrombus tissue. Macrophage depletion negated CAs benefits, confirming the central role macrophages. ConclusionCA promoted early thrombus resolution via macrophage recruitment, M1 polarization suppression, and Nrf2 activation, highlighting its potential as a preventive strategy for DVT.

pharmacology and toxicology↗

Modulators of epithelial-mesenchymal transitions in prostate cancer: potential for novel therapeutics development

Research in the area of hallmarks of cancer has opened the possibility of designing novel therapeutic interventions based on modulating cancer properties. Interestingly, the epithelial-mesenchymal transition (EMT), important in both tumour growth and metastasis, has not been targeted in prostate cancer (PCa). Previously, in a repositioning screen, three new chemicals that modulate EMT in PCa (named LLSOs) have been found. This study aims to investigate how they work mechanistically as well as the effect of these LLSOs on the properties of PCa cells both in vitro and in vivo. Although LLSOs exhibited varying effects on different cancer cell lines, all of them modulated EMT by inhibiting the migration of PCa cells. LLSO3 also exhibited a significant inhibitory effect on tumour growth in vivo, concomitant with an increase in the expression levels of E-cadherin. Further investigation was conducted to obtain mechanistic insights into the LLSO compounds mode of action. In conclusion, our work strongly supports that LLSO compounds may become important candidates for targeted therapeutics in prostate cancer.

cancer biology↗

Disabling PSGL-1 abrogates immune suppression and resistance to PD-1 blockade in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is a lethal cancer for which there is a critical need to identify novel therapeutic targets. Herein we define PSGL-1 as a checkpoint inhibitor using a syngeneic orthotopic model of PDAC. As with PDAC patients, CD8+ T cells within murine PDAC tumors expressed high levels of PSGL-1. PSGL-1-/- mice displayed striking T cell-dependent control of primary tumors and lung metastases. Extensive spatial remodeling within PDAC tumors occurred in PSGL-1-/- mice with a dramatic loss of proliferating tumor cells and an increase in CD8+ T cell engagement of antigen-presenting cells. The prominent CD8+ T cell infiltrates included subsets of pre-exhausted T cells retaining hallmarks of stemness and multifunctional effector capacity. These changes enabled a near complete response of PDAC to therapeutic PD-1 blockade. Our findings identify PSGL-1 as a key regulator of anti-tumor immunity in PDAC, highlighting its potential as a therapeutic target to limit CD8+ T cell exhaustion and enhance immunotherapy response. SummaryHope et al describe a pivotal function of PSGL-1 in CD8+ T cell responses to pancreatic ductal adenocarcinoma. Genetic deletion of PSGL-1 elicits tumor control by increasing T cell infiltration and maintaining functional subsets, thereby promoting sensitivity to PD-1 blockade.

immunology↗

The Aging Microenvironment as a Determinant of Immune Exclusion and Metastatic Fate in Pancreatic Cancer

Aging is a critical yet understudied determinant in pancreatic ductal adenocarcinoma (PDAC). Despite a strong epidemiological association with age, conventional PDAC preclinical models fail to capture the histopathological and stromal complexities that emerge in older organisms. Using an age-relevant syngeneic orthotopic model, we demonstrate that organismal aging accelerates PDAC progression and metastasis. Through transcriptomic profiling, we identify a conserved extracellular matrix gene signature enriched in cancer-associated fibroblasts (CAFs) from aged tumors, consistent with an augmented fibrotic landscape that supports immunosuppression, metastatic tropism, and poor prognosis. To directly test the functional impact of stromal aging, we employed heterochronic co-implantation models, revealing that revitalizing the aged tumor stroma with young CAFs restores immune infiltration and attenuates metastasis in older hosts. Conversely, aged CAFs, while immunosuppressive, fail to enhance metastasis in young hosts, suggesting that a youthful microenvironment exerts dominant regulatory control over disease progression. These findings demonstrate that stromal age is a critical modulator of both immune exclusion and metastatic behavior in PDAC. Importantly, our work establishes a new conceptual framework for understanding how aging shapes the tumor microenvironment in PDAC and opens a fertile avenue of investigation into age-specific stromal regulation. Moreover, this work raises compelling questions about the underlying molecular mechanisms--questions now accessible through our models--and lays the foundation for future efforts to therapeutically target stromal aging in PDAC. Statement of SignificanceOur study links aging, stromal remodeling, and PDAC aggressiveness, highlighting how age-dependent stromal changes drive progression and suggesting that rejuvenating the aged microenvironment may improve outcomes in older patients.

cancer biology↗

Breakthrough infection elicits synergistic broadly neutralizing antibodies targeting non-dominant epitopes on RBD and NTD in an individual of inactivated SARS-CoV-2 vaccine

Background/ObjectivesIdentification and characterization of broadly neutralizing monoclonal antibodies from individuals exposed to SARS-CoV-2, either by infection or vaccination, can inform the development of next-generation vaccines and antibody therapeutics with pan-SARS-CoV-2 protection. MethodsThrough single B cell sorting and RT-PCR, monoclonal antibodies (mAbs) were isolated from a donor who experienced BA.5 or BF.7 breakthrough infection after three doses of inactivated vaccines. Their binding and neutralizing capacities were respectively measured with ELISA and pseudovirus-based neutralization assay. Their epitopes were mapped by competition ELISA and site- directed mutation. ResultsAmong a total of 67 spike-specific mAbs cloned from the donor, four mAbs (KXD643, KXD652, KXD681, and KXD686) can neutralize all tested SARS-CoV-2 variants from wild-type to KP.3. Moreover, KXD643, KXD652, and KXD681 belong to a clonotype encoded by IGHV5-51 and IGKV1-13, and recognize the cryptic and conserved RBD-8 epitope on the receptor-binding domain (RBD). In contrast, KXD686 is encoded by IGHV1-69 and IGKV3-20, and targets a conserved epitope (NTD Site iv) outside the antigenic supersite (NTD Site i) of the N-terminal domain (NTD). Notably, antibody cocktails containing these two groups of mAbs can neutralize SARS-CoV-2 more potently due to synergistic effects. In addition, bispecific antibodies derived from KXD643 and KXD686 demonstrate further improved neutralizing potency compared to antibody cocktails. ConclusionsThese four mAbs can be developed as candidates of pan-SARS-CoV-2 antibody therapeutics through further antibody engineering. On the other hand, vaccines designed to simultaneously elicit neutralizing antibodies towards RBD-8 and NTD Site iv have the potential to provide pan-SARS-CoV-2 protection.

immunology↗

Macropinocytosis controls metabolic stress-driven CAF subtype identity in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) tumors are deficient in glutamine, an amino acid that tumor cells and CAFs use to sustain their fitness. In PDAC, both cell types stimulate macropinocytosis as an adaptive response to glutamine depletion. CAFs play a critical role in sculpting the tumor microenvironment, yet how adaptations to metabolic stress impact the stromal architecture remains elusive. In this study, we find that macropinocytosis functions to control CAF subtype identity when glutamine is limiting. Our data demonstrate that metabolic stress leads to an intrinsic inflammatory CAF (iCAF) program driven by MEK/ERK signaling. Utilizing in vivo models, we find that blocking macropinocytosis alters CAF subtypes and reorganizes the tumor stroma. Importantly, these changes in stromal architecture can be exploited to sensitize PDAC to immunotherapy and chemotherapy. Our findings demonstrate that metabolic stress plays a role in shaping the tumor microenvironment, and that this attribute can be harnessed for therapeutic impact. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=173 SRC="FIGDIR/small/625709v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@40b38eorg.highwire.dtl.DTLVardef@1cc6a3borg.highwire.dtl.DTLVardef@15283e8org.highwire.dtl.DTLVardef@5214d2_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

More cells, more doublets in highly multiplexed single-cell data

Withdrawal statementThe authors have withdrawn this manuscript. In our initial submission of this paper, we proposed a combinatoric model for the probability of finding doublets in sample-barcoded single-cell RNA-sequencing data. This model predicts a doublet rate higher than the rate included in the documentation for the 10X Flex protocol. This was motivated by our use of doublet-finding software, scDblFinder, on experimental data using the Flex protocol, which identified several times more doublets than we expected based on the documentation. Our original model produced better agreement with the results of scDblFinder in 9 of our own data sets as well as one public dataset made available by 10X. During revisions, however, we performed Monte Carlo simulations of doublet formation that were inconsistent with the results of our model, and much closer to the predictions from the documentation. This prompted us to reanalyse the assumptions of our model. A longer version of this withdrawal statement that explains in detail the errors in the model and includes updated figures is available at https://github.com/Oshlack/flex-doublets, but in brief, our initial assumptions over-predicted the doublet fraction, and our revised model is now consistent with both the Monte Carlo simulations and the predictions from the Flex documentation. We therefore speculate that the unexpectedly high doublet fractions observed in the experimental data might be due to some combination of experimental conditions and software performance. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please ontact the corresponding author.

bioinformatics↗

Spotlight on 10x Visium: a multi-sample protocol comparison of spatial technologies

BackgroundSpatial transcriptomics allows gene expression to be measured within complex tissue contexts. Among the array of spatial capture technologies available is 10x Genomics Visium platform, a popular method which enables transcriptomewide profiling of tissue sections. Visium offers a range of sample handling and library construction methods which introduces a need for benchmarking to compare data quality and assess how well the technology can recover expected tissue features and biological signatures. ResultsHere we present SpatialBench, a unique reference dataset generated from spleen tissue of mice responding to malaria infection spanning several tissue preparation protocols (both fresh frozen and FFPE samples, with and without CytAssist tissue placement). We noted better quality control metrics in reference samples prepared using probe-based capture methods, particularly those processed with CytAssist, validating the improvement in data quality produced with the platform. Our analysis of replicate samples extends to explore spatially variable gene detection, the outcomes of clustering and cell deconvolution using matched single-cell RNA-sequencing data and publicly available reference data to identify cell types and tissue regions expected in the spleen. Multi-sample differential expression analysis recovered known gene signatures related to biological sex or gene knockout. ConclusionsWe framed a comprehensive multi-sample analysis workflow that allowed us to generate consistent results both within and between different subsets of replicate samples, enabling broader comparisons and interpretations to be made at the group-level. Our SpatialBench dataset, analysis, and workflow can serve as a practical guide for Visium users and may prove valuable in other benchmarking studies.

genomics↗

Spatial analysis of Hofbauer cell transcriptome, distribution and morphology in placentas exposed to Plasmodium falciparum

Placental infection remains a significant health burden for mothers and their babies in low-income countries, especially in sub-Saharan Africa, where malaria transmission is intense. An increase in inflammatory biomarkers and poor vascularisation are characteristics of placentas infected with malaria. Hofbauer cells (HBCs) - placental villous macrophages of fetal origin - are one of the most abundant immune cells in the placenta. HBCs are thought to have roles in angiogenic processes and have been linked with the pathophysiology of several infections and inflammatory conditions during pregnancy, including malaria (caused by Plasmodium falciparum). However, there is limited in situ data on the transcriptional, proteomic or morphologic profile of these cells either during or following clearance of P. falciparum infection. We leveraged placental samples prospectively collected at delivery from 610 Malawian women enduring a high burden of malaria and other infections and nutritional deficiencies. We profiled placentas through spatial transcriptomic and proteomic platforms to discern in situ HBC features that could distinguish placentas with or without evidence of past malaria. In this cohort, past placental infection was common and was associated with lower birth weight babies (adjusted effect [95% confidence interval], -80.9 [-165.9, -3.7] g, P= 0.040). However, at term, HBC numbers, abundance, and transcriptional profiles from placentas with evidence of past infection were similar to those of placentas without malaria. HBCs may recover post-infection back to a basal state or may be replaced in the tissue over the course of pregnancy. Placentas with evidence of past malaria did show evidence of reduced fetal vessel development (mean area difference: -22.8% [-37.6, -7.9], P=0.003). Reduced vascular development following infection early in pregnancy may reflect disturbances to the normal vasculogenic and angiogenic processes, of which HBCs are an integral part.

immunology↗

A Risk-reward Examination of Sample Multiplexing Reagents for Single Cell RNA-Seq

Single-cell RNA sequencing (scRNA-Seq) has emerged as a powerful tool for understanding cellular heterogeneity and function. However the choice of sample multiplexing reagents can impact data quality and experimental outcomes. In this study, we compared various multiplexing reagents, including MULTI-Seq, Hashtag antibody, and CellPlex, across diverse sample types such as human peripheral blood mononuclear cells (PBMCs), mouse embryonic brain and patient-derived xenografts (PDXs). We found that all multiplexing reagents worked well in cell types robust to ex vivo manipulation but suffered from signal-to-noise issues in more delicate sample types. We compared multiple demultiplexing algorithms which differed in performance depending on data quality. We find that minor improvements to laboratory workflows such as titration and rapid processing are critical to optimal performance. We also compared the performance of fixed scRNA-Seq kits and highlight the advantages of the Parse Biosciences kit for fragile samples. Highly multiplexed scRNA-Seq experiments require more sequencing resources, therefore we evaluated CRISPR-based destruction of non-informative genes to enhance sequencing value. Our comprehensive analysis provides insights into the selection of appropriate sample multiplexing reagents and protocols for scRNASeq experiments, facilitating more accurate and cost-effective studies.

genomics↗

Phylogenetic and population structure of the nod-free but nodulating Bradyrhizobium phylogroup

Bradyrhizobium is a main rhizobial lineage of which most members nodulate legume plants using Nod factors (NFs) synthetized by the nod genes. However, members of the Photosynthetic supergroup (phylogroup) within Bradyrhizobium (PB) are nod-free but still capable of establishing nitrogen-fixing nodules with some tropical legumes of the Aeschynomene genus. These unusual findings are based on the genomic sequences of only 13 PB strains, and almost all were isolated from Aeschynomene nodules. Here, we investigate the diversity of Bradyrhizobium in grassland, forest, and rice field by rpoB amplicon sequencing and report that PB is mainly associated with rice root and rhizosphere. Moreover, we sequenced 209 new PB members isolated mostly from the rice field. The extended PB supergroup comprises three major clades: a basal clade with significant expansion of its diversity, followed by an intermediate clade composed by two strains, and a new clade exclusively represented by our new strains. Although the PB strains universally lack the canonical nod genes, all 28 assayed strains covering the broad diversity of these clades induced nodules on Aeschynomene indica. Interestingly, the three clades displayed significant differences in the efficiency of symbiosis, aligning well with their phylogenetic branching order. Our strain collection expands the ecological, phylogenetic and functional diversity of nod-free but nodulating Bradyrhizobium. With this expanded diversity, we conclude that the NF-independent nodulation of Aeschynomene is a common trait of this supergroup, in contrast to the photosynthetic trait originally thought as its unifying feature.

genomics↗