Biology subjects

Song, S. J.

Publications and source records attributed to Song, S. J..

10 recordsLinked to original sources

bioRxiv2026

Reticulate Evolution and Plastome Restructuring Shape Asian Passiflora Diversification

Asian Passifloraceae occupy a distinctive evolutionary and ecological position within the family despite their relatively low species diversity compared with the Neotropics. Many Asian representatives are highly localized, small and often ephemeral climbers that persist seasonally through rhizomes, tuberous stems or dormant seeds, while considerable morphological plasticity may obscure species limits and evolutionary relationships. Xishuangbanna, southwestern China, lies at the convergence of Southeast Asian, Indian-Himalayan and southern Chinese floristic elements and represents an important regional centre of Passifloraceae diversity, with two species of Adenia and five species of Passiflora, including the recently described P. xishuangbannaensis and P. menghaiensis. We investigate the evolutionary relationships, plastome evolution and population genomics of these taxa using complete plastome assemblies, a concatenated dataset of 68 selected plastid protein-coding genes, 356 reconstructed nuclear Coding Sequences (CDS), and Genotyping-By-Sequencing (GBS) across the known wild distribution of P. xishuangbannaensis. Plastid, concatenated nuclear and nuclear coalescent phylogenies were strongly incongruent and differed from published classifications based on morphology and earlier phylogenies (ITS, ncpGS, ctyGS, ndhF and trnL-F). Gene-tree discordance and phylogenetic-network inference indicated widespread incomplete lineage sorting together with introgression. The two statistically best-supported network models placed P. menghaiensis, which showed high genetic similarity to the Indian P. napalensis, as a sister lineage involved in independent reticulation events associated with P. altebilobata, P. xishuangbannaensis and P. sumatrana. A pronounced biogeographic pattern was evident within Passiflora supersection Disemma, particularly in the P. siamica-P. cochinchinensis lineage across the Hua Line, whereas relationships among other Asian Passiflora blurred this boundary. This pattern suggests that diversification and reticulation within the Asian lineage may have overlapped temporally with the development of the biogeographic divide represented by the Hua Line. The concentration of early-diverging lineages around Xishuangbanna and the eastern Himalayan-Indian region further points to this area as an important centre in the early diversification of Asian Passiflora. Within this context, the highly localized P. xishuangbannaensis may represent either a relictual of an early Asian lineage or the surviving product of an ancient reticulate complex, contrasting with lineages such as P. siamica that subsequently expanded farther across Southeast Asia. Comparative plastome analyses revealed extensive structural and gene-content evolution within subgenus Decaloba, including pseudogenization, gene and intron losses, and repeated Inverted-Repeat (IR) expansions and contractions; substantial plastome modification also characterized supersection Disemma. Passiflora sumatrana exhibited a particularly distinctive IR expansion extending into the accD-pafII region, potentially characterizing this lineage. Adenia plastomes were generally more structurally conservative, although A. penangiana displayed an IR-boundary contraction involving the rps19-rpl2 region. Mitochondrial CDS and non-coding regions provided the best-resolved phylogenetic signal and revealed strong discordance with the chloroplast phylogeny, consistent with maternal mitochondrial inheritance and variable plastid transmission, potentially involving paternal or biparental inheritance and heteroplasmy. GBS analyses of P. xishuangbannaensis using complementary distant-reference, de novo and closely related-reference approaches showed that mapping to P. organensis provided the clearest SNP distribution and population resolution. ADMIXTURE, PCA and FST analyses revealed two strongly geographically structured populations with additional substructure and substantial differentiation (FST = 0.112). Linkage disequilibrium based demographic reconstruction using GONE2 indicated declining effective population size (Ne) toward the present in both populations, with a particularly abrupt recent decline in Pop1 and a more gradual decline in Pop2. Few candidate Self-Incompatibility (SI) genes could be confidently reconstructed, including limited recovery of highly variable docking regions. However, the intracellular region of an S-locus Receptor Kinases (SRK) contained a distinctive non-synonymous substitution predicted to alter protein configuration without major disruption of overall folding, potentially contributing to compatibility differences between populations. Together, these results reveal a complex evolutionary history combining historical dispersal, incomplete lineage sorting, reticulation, morphological plasticity, plastome structural evolution and strong population differentiation. The narrow distributions and recent demographic decline of these newly recognized Xishuangbanna taxa emphasize their conservation importance, while broader Asian taxon sampling and deeper genomic sequencing will be essential to resolve the evolutionary history of this discreet and poorly known Passifloraceae radiation.

evolutionary biology↗

bioRxiv2026

Multi-omics Analyses of Facial Skin in Acne Identify Distinct Microbial and Metabolic Features at Lesional and Non-lesional Sites

The microbial and biochemical landscape of clinically normal-appearing skin in individuals with acne remains uncharacterized. Here, we performed longitudinal multi-omics profiling of facial skin from 10 individuals with moderate acne and 10 healthy controls, integrating 16S rRNA gene sequencing, shotgun metagenomics, and untargeted metabolomics across lesional and non-lesional sites. Compositional tensor factorization revealed that non-lesional acne skin occupies a distinct intermediate state between healthy and lesional skin in both the microbiome and the metabolome. Machine learning models distinguished healthy from non-lesional acne skin with 70% accuracy, demonstrating that molecular dysbiosis occurs in areas of the skin without visible lesions. Non-lesional sites exhibited reduced microbial diversity, strain-level shifts in Corynebacterium and Lawsonella correlating with disease severity, and metabolic alterations, including elevated lipids and perturbed amino acid and dipeptide profiles. Microbe-metabolite co-occurrence network analyses revealed that healthy skin is enriched for protective metabolites such as urocanic acid, while acne-associated skin shows distinct co-occurrence patterns. These findings establish that acne represents a field effect disorder, with molecular alterations extending beyond visible lesions to encompass the entire facial skin ecosystem. This molecular signature of pre-lesional skin provides potential biomarkers for early intervention and suggests that effective acne treatment may require holistic approaches targeting the broader skin environment rather than individual lesions alone.

microbiology↗

bioRxiv2024

A three-country analysis of the gut microbiome indicates taxon associations with diet vary by location and strain

Emerging research suggests that diet plays a vital role in shaping the composition and function of the gut microbiota. While significant efforts have been made to identify general patterns linking diet to the gut microbiome, much of this research lacks representation from low- and middle-income countries such as Mexico. Additionally, both diet and the gut microbiome have highly complex and individualized configurations, and there is growing evidence that tailoring diets to individual gut microbiota profiles may optimize the path toward improving or maintaining health and preventing disease. Using fecal metagenomic data from 1,291 individuals across three countries, we examine two bacterial genera prevalent in the human gut, Prevotella and Faecalibacterium, which have gained significant attention due to their potential roles in human health. We find that they show significant associations with many aspects of diet, but that these associations vary in scale and direction, depending on the level of metagenomic resolution and the contextual population. These results highlight the growing importance of assembling metagenomic datasets that are standardized, comprehensive, and representative of diverse populations to increase our ability to tease apart the complex relationship between diet and the microbiome.

microbiology↗

bioRxiv2023

Reply to: Caution Regarding the Specificities of Pan-Cancer Microbial Structure

The cancer microbiome field tremendously accelerated following the release of our manuscript nearly three years ago1, including direct validation of our cancer type-specific conclusions in independent, international cohorts2,3 and the tumor microbiomes adoption into the hallmarks of cancer4. Disentangling contamination signals from biological signals is an important consideration for this research field. Therefore, despite numerous, high-impact, peer-reviewed research papers that either validated our conclusions or extended them using data we released2,5-13, we carefully considered criticism raised by Gihawi et al. about potential mishandling of contaminants, batch effects, and machine learning approaches--all of which were central topics in our manuscript. Nonetheless, a close examination of each concern alongside the original manuscript and re-analyses of our published data strongly demonstrates the robustness of the original findings. To remove all doubt, however, we have reproduced all key conclusions from the original manuscript using only overlapping bacterial genera identified in a highly decontaminated, multi-cancer, international cohort (Weizmann Institute of Science, WIS)2, with or without batch correction, and with multiclass machine learning analyses to mitigate class imbalances. Our published pan-cancer mycobiome manuscript3 also affirms these findings using updated, state-of-the-art methods. We also note that every analysis shown here was possible using public data and code that we had already provided.

bioinformatics↗

bioRxiv2022

Effects of Variation in Urine Sample Storage Conditions on 16S Urogenital Microbiome Analyses

Replicability is a well-established challenge in microbiome research with a variety of contributing factors at all stages, from sample collection to code execution. Here, we focus on voided urine sample storage conditions for urogenital microbiome analysis. Using urine samples collected from 10 healthy adult women, we investigated the microbiome preservation efficacy of AssayAssure(R) Genelock (as opposed to no preservative) under different temperature conditions. We varied temperature over 48 hours in order to examine the impact of conditions samples may experience with home voided urine collection and shipping to a central biorepository. The following common lab and shipping conditions were investigated: -20C, ambient temperature, 4C, a freeze-thaw cycle, and a heat cycle. At 48 hours, all samples were stored at -80C until processing. After generating 16S rRNA gene amplicon sequencing data using the highly sensitive KatharoSeq protocol, we observed individual variation in both alpha and beta diversity metrics below interhuman differences, corroborating reports of individual microbiome variability in other specimen types. While there was no significant difference in beta diversity when comparing AssayAssure(R) Genelock vs. no preservative, we did observe a higher concordance with AssayAssure samples shipped at colder temperatures (-20C and 4C) when compared to the samples shipped at -20C without preservative. Our results indicate that AssayAssure does not introduce a significant amount of microbial bias when used on a range of temperatures but is most effective at colder temperatures. ImportanceThe urogenital microbiome is an understudied yet important human microbiome niche. Research has been stimulated by the relatively recent discovery that urine is not sterile: urinary tract microbes have been linked to health problems including urinary infections, incontinence, and cancer. The quality of life and economic impact of UTIs and urgency incontinence alone are enormous, with $3.5 billion and $82.6 billion respectively spent in the U.S. annually. Given the low biomass of urine, novelty of the field, and well-established replicability bias in microbiome studies, it is critical to study storage conditions on urine samples to minimize microbial biases. Efficient and reliable preservation methods permit home self-sample collection and shipping, increasing the accessibility of larger-scale studies. Here, we examined both buffer and temperature variation effects on 16S rRNA gene amplicon sequencing results from urogenital samples, providing data on the consequences of common storage methods on urogenital microbiome results.

microbiology↗

bioRxiv2020

EMPress enables tree-guided, interactive, and exploratory analyses of multi-omic datasets

Standard workflows for analyzing microbiomes often include the creation and curation of phylogenetic trees. Here we present EMPress, an interactive tool for visualizing trees in the context of microbiome, metabolome, etc. community data scalable beyond modern large datasets like the Earth Microbiome Project. EMPress provides novel functionality--including ordination integration and animations--alongside many standard tree visualization features, and thus simplifies exploratory analyses of many forms of omic data.

bioinformatics↗

bioRxiv2020

Bacterial modification of the host glycosaminoglycan heparan sulfate modulates SARS-CoV-2 infectivity

The human microbiota has a close relationship with human disease and it remodels components of the glycocalyx including heparan sulfate (HS). Studies of the severe acute respiratory syndrome coronavirus (SARS-CoV-2) spike protein receptor binding domain suggest that infection requires binding to HS and angiotensin converting enzyme 2 (ACE2) in a codependent manner. Here, we show that commensal host bacterial communities can modify HS and thereby modulate SARS-CoV-2 spike protein binding and that these communities change with host age and sex. Common human-associated commensal bacteria whose genomes encode HS-modifying enzymes were identified. The prevalence of these bacteria and the expression of key microbial glycosidases in bronchoalveolar lavage fluid (BALF) was lower in adult COVID-19 patients than in healthy controls. The presence of HS-modifying bacteria decreased with age in two large survey datasets, FINRISK 2002 and American Gut, revealing one possible mechanism for the observed increase in COVID-19 susceptibility with age. In vitro, bacterial glycosidases from unpurified culture media supernatants fully blocked SARS-CoV-2 spike binding to human H1299 protein lung adenocarcinoma cells. HS-modifying bacteria in human microbial communities may regulate viral adhesion, and loss of these commensals could predispose individuals to infection. Understanding the impact of shifts in microbial community composition and bacterial lyases on SARS-CoV-2 infection may lead to new therapeutics and diagnosis of susceptibility. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=136 SRC="FIGDIR/small/238444v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@14ff1ecorg.highwire.dtl.DTLVardef@193d84corg.highwire.dtl.DTLVardef@15d6f9eorg.highwire.dtl.DTLVardef@14b16c6_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract. Diagram of hypothesis for bacterial mediation of SARS-CoV-2 infection through heparan sulfate (HS).It is well known that host microbes groom the mucosa where they reside. Recent investigations have shown that HS, a major component of mucosal layers, is necessary for SARS-CoV-2 infection. In this study we examine the impact of microbial modification of HS on viral attachment. C_FIG

microbiology↗

bioRxiv2019

Revisiting microbe-metabolite interactions: doing better than random

I.Recently, Quinn and Erb et al [1] made the case that when used correctly, correlation and proportionality can outperform MMvec when identifying microbe-metabolite interactions. We revisit this comparison and show that the proposed correlation and proportionality are outperformed by MMvec on real data due to their inability to deal with sparsity commonly observed in microbiome and metabolome datasets.

bioinformatics↗

bioRxiv2019

Early-life gut dysbiosis linked to mass mortality in ostriches

Dysbiosis in the vertebrate gut microbiome has been associated with several diseases. However, it is unclear whether particular gut regions or specific time periods during ontogeny are responsible for the development of dysbiosis, especially in non-model organisms. Here we examine the microbiome associated with dysbiosis in different parts of the gastrointestinal tract (ileum, caecum, colon) in a long-lived bird with high juvenile mortality, the ostrich. Individuals that died of gut disease (n=68) had substantially different microbial composition from age-matched controls (n=50) throughout the gut. Several taxa were associated with mortality (Enterobacteriaceae, Peptostreptococcaceae, Porphyromonadaceae, Clostridium) and some with survival (Lachnospiraceae, Ruminococcaceae, Erysipelotrichaceae, Turicibacter). Repeated faecal sampling showed that pathobionts were already present shortly after hatching and proliferated in individuals with low diversity, resulting in mortality weeks later. The factors influencing seeding of the gut microbiota may therefore be key to understanding dysbiosis and host development.

microbiology↗

bioRxiv2018

The development of gut microbiota in ostriches and its association with growth

The development of gut microbiota during ontogeny in vertebrates is emerging as an important process influencing physiology, immune system, health, and adult fitness. However, we have little knowledge of how the gut microbiome is colonised and develops in non-model organisms, and to what extent microbial diversity and specific taxa influence changes in fitness-related traits. Here, we used 16S rRNA gene sequencing to describe the successional development of the faecal microbiota in juvenile ostriches (Struthio camelus; n = 71) over their first three months of life, during which time a five-fold difference in weight was observed. We found a gradual increase in microbial diversity with age, an overall convergence in community composition among individuals, multiple colonisation and extinction events, and major taxonomic shifts coinciding with the cessation of yolk absorption. In addition, we discovered significant but complex associations between juvenile growth and microbial diversity, and identified distinct bacterial groups that had positive (Bacteroidaceae) and negative (Enterobacteriaceae, Enterococcaceae, Lactobacillaceae) correlations with the growth of individuals at specific ages. These results have broad implications for our understanding of the development of gut microbiota and its association with juvenile growth.

microbiology↗