Biology subjects

Zhou, S.

Publications and source records attributed to Zhou, S..

At least 199 records · Page 11Linked to original sources

bioRxiv2021

Robust and Efficient Assessment of Potency (REAP): A Quantitative Tool for Dose-response Curve Estimation

The median-effect equation has been widely used to describe the dose-response relationship and identify compounds that activate or inhibit specific disease targets in contemporary drug discovery. However, the experimental data often contain extreme responses, which may significantly impair the estimation accuracy and impede valid quantitative assessment in the standard estimation procedure. To improve the quantitative estimation of the dose-response relationship, we introduce a novel approach based on robust beta regression. Substantive simulation studies under various scenarios demonstrate solid evidence that the proposed approach consistently provides robust estimation for the median-effect equation, particularly when there are extreme outcome observations. Moreover, simulation studies illustrate that the proposed approach also provides a narrower confidence interval, suggesting a higher power in statistical testing. Finally, to efficiently and conveniently perform common lab data analyses, we develop a freely accessible web-based analytic tool to facilitate the quantitative implementation of the proposed approach for the scientific community.

pharmacology and toxicology↗

bioRxiv2021

Adapting to novel environments together: evolutionary and ecological correlates of the bacterial microbiome of the worlds largest cavefish diversification

The symbiosis between a host and its microbiome is essential for host fitness, and this association is a consequence of the hosts physiology and habitat. Sinocyclocheilus, the largest cavefish diversification of the world, an emerging multi-species model system for evolutionary novelty, provides an excellent opportunity for examining correlates of host evolutionary history, habitat, and gut-microbial community diversity. From the diversification-scale patterns of habitat occupation, major phylogenetic clades (A-D), geographic distribution, and knowledge from captive-maintained Sinocyclocheilus populations, we hypothesize habitat to be the major determinant of microbiome diversity, with phylogeny playing a lesser role. For this, we subject environmental water samples and fecal samples (representative of gut-microbiome) from 24 Sinocyclocheilus species, both from the wild and after being in captivity for six months, to bacterial 16S rRNA gene profiling using Illumina sequencing. We see significant differences in the gut microbiota structure of Sinocyclocheilus, reflective of the three habitat types; gut microbiomes too, were influenced by host-related factors. There is no significant association between the gut microbiomes and host phylogeny. However, there is some microbiome related structure at clade level, with the most geographically distant clades (A and D) being the most distinct, and two geographically overlapping clades (B and C) being similar. Microbes inhabiting water were not a cause for significant differences in fish-gut microbiota, but water quality parameters was. Transferring from wild to captivity, the fish microbiomes changed significantly and became homogenized, signifying adaptability and highlighting the importance of environmental factors (habitat) in microbiome community assembly. The core microbiome of this group closely resembled that of other teleost fishes. Our results suggest that divergent selection giving rise to evolutionary novelties also includes the microbiome of these fishes, which provides a functional advantage for life in the resource-depleted cave environment. SIGNIFICANCE STATEMENTThe largest diversification of cavefishes of the world, Sinocyclocheilus, not only show that habitat, and phylogenetic clade is important in determining their gut microbiome, but also that they reach a common microbiome in captivity irrespective of their phylogenetic position, region of origin and habitat, indicating that they are adaptable in the context of microbe related changes in their environment.

microbiology↗

bioRxiv2021

Integrated analyses of the single-cell ATAC-seq and RNA-seq reveal the epigenetic landscape of human ovarian aging

Studying the molecular mechanisms of ovarian aging is crucial for understanding the age-related fertility issues in females. Recently, a single-cell transcriptomic roadmap of ovarian aging based on non-human primates revealed the molecular signatures of the oocytes at different developmental stages. Herein, we present the first epigenetic landscape of human ovarian aging, through an integrated analysis of the single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) and single-cell RNA-seq. We depicted the transcriptional profiles and chromatin accessibility of the ovarian tissues isolated from old (n=4) and young (n=2) donors. The unsupervised clustering of data revealed seven distinct cell populations in the ovarian tissues and six subtypes of oocytes, which could be distinguished by age difference. Further analysis of the scATAC-seq data from the young and old oocytes revealed that the interaction between the Notch signaling pathway and AP-1 family transcription factors may crucially determine oocyte aging. Finally, a machine-learning algorithm was applied to calculate the optimal model based on the single-cell dataset for predicting oocyte aging, which exhibited excellent accuracy with a cross-validated area under the receiver operating characteristics score of 0.99. In summary, this study provides a comprehensive understanding of human ovarian aging at both the transcriptomic and epigenetic levels, based on an integrated analysis of large-scale single-cell datasets. We believe our results will shed light on the discovery of potential therapeutic targets or diagnostic markers for age-related ovarian disorders.

genetics↗

bioRxiv2021

A contribution to the larval amphibian microbiome: characterization of bacterial microbiome of Ichthyophis bannanicus (Order: Gymnophiona) and comparison with the other two amphibian orders

It is known that animal-associated microbiomes form indispensable relationships with hosts and are responsible for many functions important for host-survival. Next-gen driven approaches documenting the remarkable diversity of microbiomes have burgeoned, with amphibians too, benefiting from such treatments. The microbiome of Gymnophiona (caecilians), one of the three amphibian orders, constituting of 3% of amphibians, however, remains almost unknown. The present study aims to address this knowledge gap through analysis of the microbiome of Ichthyophis bannanicus. As these caecilian larvae are aquatic and hence exposed to a greater propensity for bacterial microbiomic interchange, we hypothesize that bacterial phyla would overlap between gut and skin. Further, from the host-specificity patterns observed in other vertebrate taxa, we hypothesize that Gymnophiona have different dominant gut bacterial microbiomes at a higher taxonomic level when compared to the larvae of the other two amphibian orders (Anura and Caudata). We used 16S rRNA gene amplicon sequencing based on Illumina Nova sequencing platform to characterize and compare the gut (represented by faecal samples) and skin microbiome of I. bannanicus larvae (N = 13), a species distributed across South-East-Asia and the only caecilian species occurring in China. We compared our gut microbiome results with published anuran and caudate larval microbiomes. For I. bannanicus, a total of 4,053 operational taxonomic units (OTU) across 13 samples were detected. Alpha-diversity indices were significant between gut and skin samples. Non-metric multidimensional scaling analysis suggest that gut and skin samples each contained a distinct microbiome at OTU level. We record significant differences between the bacterial phyla of gut and skin samples in larvae of I. bannanicus. The study provides an overview of gut and skin bacterial microbiomes of a caecilian, while highlighting the major differences between larval microbiomes of the three amphibian orders. We find a partial overlap of gut bacterial microbiomes at phylum level for the three orders; however, the relative abundance of the dominant phyla is distinct. The skin and gut microbiomes are distinct with little overlap of species, highlighting that gut-skin axis is weak. This in turn suggests that many of the microbial species on skin and gut are functionally specialized to those locations. We also show that the skin microbiome is more diverse than the gut microbiome at species level; however, a reason for this could be a portion of the gut microbiome not being represented in faecal samples. These first microbiome information from a caecilian lay the foundation for comparative studies of the three amphibian orders.

microbiology↗

bioRxiv2021

A histone variant condenses flowering plant sperm via chromatin phase separation

Sperm chromatin is typically transformed by protamines into a compact and transcriptionally inactive state. Flowering plant sperm cells lack protamines, yet have small, transcriptionally active nuclei with chromatin condensed by an unknown mechanism. Here we show that a histone variant, H2B.8, mediates sperm chromatin and nuclear condensation in Arabidopsis thaliana. Loss of H2B.8 causes enlarged sperm nuclei with dispersed chromatin, whereas ectopic expression in somatic cells produces smaller nuclei with aggregated chromatin, demonstrating that H2B.8 is sufficient for chromatin condensation. H2B.8 aggregates transcriptionally inactive AT-rich chromatin into phase-separated condensates, thus achieving nuclear compaction without reducing transcription. H2B.8 also intermixes inactive AT-rich chromatin and GC-rich pericentromeric heterochromatin, altering higher-order chromatin architecture. Altogether, our results reveal a novel mechanism of nuclear compaction via global aggregation of unexpressed chromatin. We propose that H2B.8 is a flowering plant evolutionary innovation that achieves nuclear condensation compatible with active transcription. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=196 SRC="FIGDIR/small/460326v2_ufig1.gif" ALT="Figure 1"> View larger version (56K): org.highwire.dtl.DTLVardef@fa7a3org.highwire.dtl.DTLVardef@1c6dd23org.highwire.dtl.DTLVardef@e0393borg.highwire.dtl.DTLVardef@cd8a62_HPS_FORMAT_FIGEXP M_FIG C_FIG

plant biology↗

bioRxiv2021

Structural and Biochemical Rationale for Enhanced Spike Protein Fitness in Delta and Kappa SARS-CoV-2 Variants

The Delta and Kappa variants of SARS-CoV-2 co-emerged in India in late 2020, with the Delta variant underlying the resurgence of COVID-19, even in countries with high vaccination rates. In this study, we assess structural and biochemical aspects of viral fitness for these two variants using cryo-electron microscopy (cryo-EM), ACE2-binding and antibody neutralization analyses. Both variants demonstrate escape of antibodies targeting the N-terminal domain, an important immune hotspot for neutralizing epitopes. Compared to wild-type and Kappa lineages, Delta variant spike proteins show modest increase in ACE2 affinity, likely due to enhanced electrostatic complementarity at the RBD-ACE2 interface, which we characterize by cryo-EM. Unexpectedly, Kappa variant spike trimers form a novel head-to-head dimer-of-trimers assembly, which we demonstrate is a result of the E484Q mutation. The combination of increased antibody escape and enhanced ACE2 binding provides an explanation, in part, for the rapid global dominance of the Delta variant.

biochemistry↗

bioRxiv2021

Structural Analysis of Receptor Binding Domain Mutations in SARS-CoV-2 Variants of Concern that Modulate ACE2 and Antibody Binding

The recently emerged SARS-CoV-2 South African (B. 1.351) and Brazil/Japan (P.1) variants of concern (VoCs) include a key mutation (N501Y) found in the UK variant that enhances affinity of the spike protein for its receptor, ACE2. Additional mutations are found in these variants at residues 417 and 484 that appear to promote antibody evasion. In contrast, the Californian VoCs (B.1.427/429) lack the N501Y mutation, yet exhibit antibody evasion. We engineered spike proteins to express these RBD VoC mutations either in isolation, or in different combinations, and analyzed the effects using biochemical assays and cryo-EM structural analyses. Overall, our findings suggest that the emergence of new SARS-CoV-2 variant spikes can be rationalized as the result of mutations that confer either increased ACE2 affinity, increased antibody evasion, or both, providing a framework to dissect the molecular factors that drive VoC evolution.

biochemistry↗

bioRxiv2021

T Cell Predominant Response to AAV-Spike Protects hACE2 Mice from SARS-CoV-2 Pneumonia

Prevention of COVID-19 is widely believed to depend on neutralization of SARS-CoV-2 by vaccine-induced humoral immunity1,2, raising concern that emerging escape variants may perpetuate the pandemic3-6. Here we show that a single intramuscular injection of Adeno-Associated Virus-6 (AAV6) or AAV9 encoding a modified, N-terminal domain deleted ({Delta}NTD) spike protein induces robust cellular immunity and provides long-term protection in k18-hACE2 transgenic mice from lethal SARS-CoV-2 challenge, associated weight loss and pneumonia independent of vaccine-induced neutralizing humoral immunity. In both mice and macaques, vaccine-induced cellular immunity results in the clearance of transduced muscle fibers coincident with macrophage and CD8+ cytotoxic T cell infiltration at the site of immunization. Additionally, mice demonstrate a strong Type-1 polarized cellular immunophenotype and equivalent ex vivo T cell reactivity to peptides of wt and alpha (B.1.1.7) variant spike. These studies demonstrate not only that AAV6 and AAV9 can function as effective vaccine platforms, but also that vaccines can provide long-term efficacy primarily through the induction of cellular immunity. The findings may provide an alternative approach to containment of the evolving COVID-19 pandemic and have broader implications for the development of variant-agnostic universal vaccines against a wider range of pathogens.

immunology↗

bioRxiv2021

Heterochromatin rewiring and domain disruption-mediated chromatin compaction during erythropoiesis

Development of mammalian red blood cells involves progressive chromatin compaction and subsequent enucleation in terminal stages of differentiation, but the molecular mechanisms underlying the three-dimensional chromatin reorganization and compaction remains obscure. Here, we systematically analyze the distinct features of higher-order chromatin in purified populations of primary human erythroblasts. Our results reveal that while heterochromatin regions undergo substantial compression, select transcription competent regions with active transcription signature are preferentially maintained to achieve a highly-compacted yet functional chromatin state in terminal erythropoiesis, which is about 20-30% of the nuclear volume compared to that of erythroid progenitors. While the partition of euchromatic and heterochromatic regions (compartment A and B) remain mostly unchanged, H3K9me3 marks relocalize to the nuclear periphery and a significant number of H3K9me3 long-range interactions are formed in the three-dimensional rewiring during terminal erythroid chromatin condensation. Moreover, [~]63% of the topologically associating domain (TAD) boundaries are disrupted, while certain TADs with active chromatin modification are selectively maintained during terminal erythropoiesis. The most well-maintained TADs are enriched for chromatin structural factors CTCF and SMC3, as well as factors and marks of the active transcription state. Finally, we demonstrate that the erythroid master regulator GATA1 involves in safeguarding select essential chromatin domains during terminal erythropoiesis. Our study therefore delineate the molecular characteristics of a development-driven chromatin compaction process, which reveals transcription competence as a key determinant of the select domain maintenance to ensure appropriate gene expression during immense chromatin compaction.

genomics↗

bioRxiv2021

An Isogenic Cell Line Panel for Sequence-based Screening of Targeted Anti-cancer Drugs

We describe the creation and characterization of an isogenic cell line panel representing common cancer pathways, with multiple features optimized for high-throughput screening. More than 1,800 cell lines from three normal human cells were generated using CRISPR-technologies. Surprisingly, we discovered most of these lines did not result in complete gene inactivation, despite integration of sgRNA at the desired genomic site. However, a subset of the lines harbored true, biallelic disruptions of the targeted tumor suppressor gene, yielding a final panel of 100 well-characterize lines covering 19 pathways frequently subject to loss of function in cancers. This panel included genetic markers optimized for sequence-based ratiometric assays for drug-based screening assays. To illustrate the potential utility of this panel, we developed a multiplexed high-throughput screen that identified Wee1 inhibitor MK-1775 as a selective growth inhibitor of cells with inactivation of TP53. These cell lines and screening approach should prove useful for researchers studying a variety of cellular and biochemical phenomena.

cancer biology↗

bioRxiv2021

Dynamics of synthetic yeast chromosome evolution shaped by hierarchical chromatin organization

Synthetic genome evolution provides a dynamic approach to systematically and straightforwardly explore evolutionary processes. SCRaMbLE is an evolutionary system intrinsic to the synthetic yeast genome that can rapidly drive structural variations. Here, we detect over 260,000 rearrangement events after SCRaMbLEing of a novel yeast strain harboring 6 synthetic yeast chromosomes. Remarkably, we find that the rearrangement events exhibit a specific landscape of rearrangement frequency. We further reveal that the landscape is shaped by combinatorial effects of chromatin accessibility and spatial contact probability. The rearrangements tend to occur in 3D spatially proximal and chromatin-accessible regions. Enormous numbers of rearrangements by SCRaMbLE provide a driving force to potentiate directed genome evolution, and investigation of the rearrangement landscape offers mechanistic insights into the dynamics of genome evolution.

synthetic biology↗

bioRxiv2021

Encoding time in neural dynamic regimes with distinct computational tradeoffs

Converging evidence suggests the brain encodes time in time-varying patterns of neural activity, including neural sequences, ramping activity, and complex dynamics. Temporal tasks that require producing the same time-dependent output patterns may have distinct computational requirements in regard to the need to exhibit temporal scaling or generalize to novel contexts. It is not known how neural circuits can both encode time and satisfy distinct computational and generalization requirements, it is also not known whether similar patterns of neural activity at the population level can emerge from distinctly different network configurations. To begin to answer these questions, we trained RNNs on two timing tasks based on behavioral studies. The tasks had different input structures but required producing identically timed output patterns. Using a novel framework we quantified whether RNNs encoded two intervals using either of three different timing strategies: scaling, absolute, or stimulus-specific dynamics. We found that similar neural dynamics for single intervals were associated with fundamentally different encoding strategies and network configurations. Critically, some regimes were better suited for generalization, categorical timing, or robustness to noise. Further analysis revealed different connection patterns underlying the different encoding strategies. Our results predict that apparently similar neural dynamic regimes at the population level can be produced through fundamentally different mechanisms--e.g., in regard to network connectivity and the role of excitatory and inhibitory neurons. We also predict that the task structure used in different experimental studies accounts for some of the experimentally observed variability in how networks encode time. Author summaryThe ability to tell time and anticipate when external events will occur are among the most fundamental computations the brain performs. Converging evidence suggests the brain encodes time through changing patterns of neural activity. Different temporal tasks, however, have distinct computational requirements, such as the need to flexibly scale temporal patterns or generalize to novel inputs. To understand how networks can encode time and satisfy different computational requirements we trained recurrent neural networks (RNNs) on two timing tasks that have previously been used in behavioral studies. Both tasks required producing identically timed output patterns. Using a novel framework to quantify how networks encode different intervals, we found that similar patterns of neural activity--neural sequences--were associated with fundamentally different underlying mechanisms, including the connectivity patterns of the RNNs. Critically, depending on the task the RNNs were trained on, they were better suited for generalization, categorical timing, or robustness to noise. Our results predict that similar patterns of neural activity can be produced by distinct RNN configurations, which in turn have fundamentally different computational tradeoffs. Our results also predict that differences in task structure account for some of the experimentally observed variability in how networks encode time.

neuroscience↗

bioRxiv2021

Structure of mycobacterial cytochrome bcc in complex with Q203 and TB47, two anti-TB drug candidates

Pathogenic mycobacteria pose a sustained threat to global human health. Recently, cytochrome bcc complexes have gained interest as targets for antibiotic drug development. However, there is currently no structural information for the cytochrome bcc complex from these pathogenic mycobacteria. Here, we report the structures of M. tuberculosis cytochrome bcc alone (2.68 [A] resolution) and in complex with clinical drug candidates Q203 (2.67 [A] resolution) and TB47 (2.93 [A] resolution) determined by single-particle cryo-electron microscopy. M. tuberculosis cytochrome bcc forms a dimeric assembly with endogenous menaquinone/menaquinol bound at the quinone/quinol binding pockets. Q203 and TB47 are bound to the quinol-binding site. Hydrogen bonds are formed between the inhibitor and the side chains of QcrBThr313 and QcrBGlu314, residues that are conserved across pathogenic mycobacteria. These high-resolution structures provide a basis for the design of new mycobacterial cytochrome bcc inhibitors that could be developed into broad spectrum drugs to treat mycobacterial infections.

microbiology↗

bioRxiv2021

LRRC23 is a conserved component of the radial spoke that is necessary for sperm motility and male fertility in mice

Cilia and flagella are ancient structures that achieve controlled motor functions through the coordinated interaction of structures including dynein arms, radial spokes (RSs), microtubules, and the dynein regulatory complex (DRC). RSs facilitate the beating motion of these organelles by mediating signal transduction between dyneins and a central pair (CP) of singlet microtubules. RS complex isolation from Chlamydomonas axonemes enabled the detection of 23 different proteins (RSP1-23), with the roles of RSP13, RSP15, RSP18, RSP19, and RSP21 remained poorly understood. Herein, we show that Lrrc23 is an evolutionarily conserved testis-enriched gene encoding an RSP15 homolog in mice. Through immunoelectron microscopy, we demonstrate that LRRC23 localizes to the RS complex within murine sperm flagella. We further found that LRRC23 was able to interact with RSHP9 and RSPH3A/B. The knockout of Lrrc23 resulted in RS disorganization and impaired motility in murine spermatozoa, whereas the ciliary beating was unaffected by the loss of this protein. Spermatozoa lacking LRRC23 were unable to efficiently pass through the uterotubal junction and exhibited defective zona penetration. Together these data indicate that LRRC23 is a key regulator underpinning the integrity of RS complex within the flagella of mammalian spermatozoa, whereas it is dispensable in cilia. Author summary

cell biology↗

bioRxiv2021

The race goes on: A fall armyworm-resistant maize inbred line influences insect oral secretion elicitation activity and nullifies herbivore suppression of plant defense

O_LIFall armyworm (Spodoptera frugiperda) is an invasive lepidopteran pest with strong feeding preference towards maize (Zea mays). Its success on maize is facilitated by a suite of specialized detoxification and manipulation mechanisms that curtail host plant defense responses. C_LIO_LIIn this study, we identified a Chinese maize inbred line Xi502 that was able to mount effective defense in response to fall armyworm attack. Comparative transcriptomics analyses, phytohormonal measurements, and targeted benzoxazinoid quantification consistently demonstrate significant inducible defense responses in Xi502, but not in the susceptible reference inbred line B73. C_LIO_LIIn 24 hours, fall armyworm larvae feeding on B73 showed accelerated maturation-oriented transcriptomic responses and more changes in detoxification gene expression compared to their Xi502-fed sibling. Interestingly, oral secretions collected from larvae fed on B73 and Xi502 leaves demonstrated distinct elicitation activity when applied on either host genotypes, suggesting that variation in both insect oral secretion composition and host plant alleles could influence plant defense response. C_LIO_LIThese results revealed host plant adaptation towards counter-defense mechanisms in a specialist insect herbivore, adding yet another layer to the evolutionary arms race between maize and fall armyworm. This could facilitate future investigation into the molecular mechanisms in this globally important crop-pest interaction system. C_LI

plant biology↗

bioRxiv2021

Homogeneous environmental selection overturns distance-decay relationship of soil prokaryotic community

Though being fundamental to global diversity distribution, little is known about the geographic pattern of soil microorganisms across different biomes on a large scale. Here, we investigated soil prokaryotic communities from Chinese northern grasslands on a scale up to 4,000 km in both alpine and temperate biomes. Surprisingly, prokaryotic similarities increased with geographic distance after tipping points of 1,760 - 1,920 km, overturning the well-accepted distance-decay relationship and generating a significant U-shape pattern. Such U-shape pattern was likely due to decreased disparities in environmental heterogeneity along with geographic distance when across biomes, as homogeneous environmental selection dominated prokaryotic assembly based on {beta}NTI analysis. Consistently, short-term environmental heterogeneity also followed the U-shape pattern spatially, mainly attributed to dissolved nutrients. In sum, these results demonstrate that homogeneous environmental selection via dissolved nutrients overwhelmed the "distance" effect when across biomes, subverting the previously well-accepted geographic pattern for microbes on a large scale.

ecology↗

bioRxiv2021

Somatic genetics analysis of sleep in adult mice

Classical forward and reverse mouse genetics approaches require germline mutations and, thus, are unwieldy to study sleep functions of essential genes or redundant pathways. It is also time-consuming to conduct electroencephalogram/electromyogram-based mouse sleep screening owning to labor-intensive surgeries and genetic crosses. Here, we describe a highly accurate SleepV (video) system and adeno-associated virus (AAV)-based adult brain chimeric (ABC)- expression/knockout (KO) platform for somatic genetics analysis of sleep in adult mice. A pilot ABC-expression screen identifies CREB and CRTC1, of which constitutive or inducible expression significantly reduces quantity and quality of non-rapid eye movement sleep. Whereas ABC-KO of exon 13 of Sik3 by AAV-Cre injection in Sik3-E13flox/flox adult mice phenocopies Sleepy (Sik3Slp/+) mice, ABC-CRISPR of Slp/Sik3 reverses hypersomnia of Sleepy mice, indicating a direct role of SLP/SIK3 kinase in sleep regulation. Multiplex ABC-CRISPR of both orexin/hypocretin receptors causes narcolepsy-like episodes, enabling one-step analysis of redundant genes in adult mice. Finally, ABC-expression/KO screen identifies Ankrd63 and NR1 as two potentially new sleep regulators. Therefore, this somatic genetics approach should facilitate high-throughput analysis of sleep regulatory genes, especially for essential or redundant genes, in adult mice by skipping the mouse development and genetic crosses.

neuroscience↗

bioRxiv2021

Case study of a rhizosphere microbiome assay on a bamboo rhizome with excessive shoots

Young Moso bamboo shoots are a very popular seasonal food. Bamboo is an important source of income for farmers and the value for cultivation has recently been estimated to $30,000 per hectare. A rare and valuable phenomenon has recently appeared where dozens of adjacent buds within a single Moso bamboo rhizome have grown into shoots. Due to its rarity, this phenomenon, which is of practical importance for the production of edible shoots, has not been scientifically studied. We report the occurrence of a rhizome with 18 shoots, of which the microbiome were analyzed, using rhizomes having one or no shoots as controls. The community of prokaryotes, but not fungi, correlated with the shoot numbers. Burkholderia was the most abundant genus, which negatively correlated with rhizome shoot number, while Clostridia and Ktedonobacteria positively correlated with many shoots. Two Burkholderia strains were isolated and their plant-growth promoting activity was tested. The isolated Burkholderia strains attenuated the growth of bamboo seedlings. Analysis of collected events of enhanced shoot production in China showed no evidence that enhanced shoot development was heritable. Overall, our data provides a firsthand study on excessive shoot development of bamboo.

plant biology↗