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PubMed1990

Application of existing technology to meet increasing demands for automated sample handling.

As the clinical laboratory advances toward total automation, the marketplace is now demanding more-efficient sample-handling systems. These demands have arisen over a relatively short period of time, in part because of heightened concern over laboratory safety and the resulting manpower shortages. Adding sample-handling capabilities to existing instrumentation is often a challenge, because usually mechanical or system constraints are present that interfere. This challenge has been overcome in the DuPont Sample Management System (SMS), a second-generation general chemistry analyzer that incorporates the latest barcode and computer-interfacing technology. The development of the SMS system relies heavily on recent advances in technology, e.g., software modeling and computer-aided design. The SMS system includes a barcode scanner based on "charge-coupled device" technology, a random-access sample wheel, and new software that oversees the various functions.

Chemistry, Clinical↗

PubMedDate not supplied

Minimizing drug misuse among elders: a proposal.

This proposal is aimed at reducing the risk of adverse drug interactions that may occur when over-the-counter (OTC) preparations are taken in conjunction with prescription drugs in an unsupervised regimen. Such polymedicating is practiced widely among the elderly. A pilot program would be implemented over 12 months at three drugstores of a major retail chain. A barcode-based computer system would be used to identify potential adverse drug interactions for elderly customers. All volunteers admitted to the study, controls and subjects, would agree to buy all their medications, prescriptions and OTC, at the participating pharmacies. In return, the volunteers would receive discounts of 25 percent on prescription and OTC drugs and 10 percent on vitamins. Study subjects (N = 375) would carry barcoded identification (BID) cards that would activate the computerized program to assess each purchase for compatibility with their other medications; controls (N = 375) would carry "dummy" BID cards that would prompt the computer to approve all drug purchases. A final comparison of the subjects with the controls, as well as with a sample of elderly residents selected randomly from the community, would determine whether such a computerized, commercially based drug use review system could reduce the potential for adverse interactions between OTC and prescription drugs among the elderly.

Aged↗

PubMed2025

LINNAEUS: Simultaneous Single-Cell Lineage Tracing and Cell Type Identification.

A key goal of biology is to understand the origin of the many cell types that can be observed during diverse processes such as development, regeneration, and disease. Single-cell RNA-sequencing (scRNA-seq) is commonly used to identify cell types in a tissue or organ. However, organizing the resulting taxonomy of cell types into lineage trees to understand the origins of cell states and relationships between cells remains challenging. Here we present LINNAEUS (Spanjaard et al, Nat Biotechnol 36:469-473. https://doi.org/10.1038/nbt.4124 , 2018; Hu et al, Nat Genet 54:1227-1237. https://doi.org/10.1038/s41588-022-01129-5 , 2022) (LINeage tracing by Nuclease-Activated Editing of Ubiquitous Sequences)-a strategy for simultaneous lineage tracing and transcriptome profiling in thousands of single cells. By combining scRNA-seq with computational analysis of lineage barcodes, generated by genome editing of transgenic reporter genes, LINNAEUS can be used to reconstruct organism-wide single-cell lineage trees. LINNAEUS provides a systematic approach for tracing the origin of novel cell types, or known cell types under different conditions.

Single-Cell Analysis↗

PubMed2025

The Use of eDNA Metabarcoding to Detect and Identify Phytophthora in Water Samples.

We describe a protocol to amplify DNA barcodes of known and unknown taxa of Phytophthora and related plant pathogenic oomycetes from a range of environments. The methods focus on sampling pathogen propagules from water using in situ sampling and filtration equipment and buffers that enable efficient storage and DNA extraction for later downstream processing.

Phytophthora↗

PubMed2025

A cell-state axis underlying colonization in carcinomas with implications for metastasis risk prediction and interception.

Metastasis to the liver drives mortality in pancreatic ductal adenocarcinoma (PDAC), yet mechanisms of colonization remain unclear. Using genomic barcoding, we developed a clonal competition model under immune surveillance, isolating murine PDAC subclones with high or low liver-colonization potential. Combined transcriptome and chromatin-accessibility analyses revealed a distinct "metastatic-potential axis," separate from the normal-to-PDAC and classical-basal axes. We established "MetScore" as a biomarker of this axis. MetScore distinguishes metastases from primary PDAC tumors in patients, predicts outcomes beyond classical-basal classifications, and generalizes across carcinoma subtypes, suggesting conserved colonization mechanisms. High-MetScore PDAC cells preferentially occupy immune cell-enriched niches, suggesting they remodel the metastatic microenvironment. Functional screening identified c-Fos as a positive mediator of colonization and a candidate anti-metastatic target. Collectively, we identify a cell-state axis underpinning PDAC liver colonization, introduce MetScore as a broadly applicable biomarker, and nominate actionable targets for peri-operative therapeutic intervention.

Animals↗

PubMed2025

Metschnikowia maris comb. nov., a large-spored yeast species endemic to Serra do Mar Atlantic Rainforest biome, Sao Paulo State, Brazil.

Two yeast isolates from passion flowers were sampled in the southern part of the Serra do Mar Atlantic Rainforest in Sao Paulo State, Brazil. Barcode sequencing and mating experiments showed them to be representatives of Metschnikowia matae var. maris, thus originally named due to the availability of only a single isolate and uncertainties regarding reproductive isolation. The two new isolates being of the complementary mating type to the previously known strain, intravarietal crosses were performed. They yielded a preponderance of two-spored asci, unlike crosses with M. matae var. matae, which led to largely sterile asci. We therefore elevate the variety maris to the rank of species, with the name Metschnikowia maris comb. nov. The holotype is UFMG-CM-Y397T (MATα). Strain UFMG-CM-Y7613A (MAT a) is designated as allotype. The new combination is registered as MB 859665.

Brazil↗

PubMed2026

A set of genetic tools for use in Clostridioides difficile and related species.

The Clostridia are a phylogenetically diverse group of anaerobic, spore-forming bacteria that include species of medical, veterinary and industrial importance. The last two decades have seen major advances in our understanding of Clostridial biology despite the difficulties of anaerobic microbiology and the challenges associated with limited genetic tools. Effort has largely focused on the human pathogen Clostridioides difficile, but many of the methods developed have also proven useful in other species. Here, we present a collection of new genetic tools, including an array of promoters of varying strength, that we have characterized in C. difficile, the food spoilage bacterium Clostridium sporogenes and industrially important Clostridium saccharoperbutylacetonicum. We also present a set of modular plasmids that allow expression of proteins with a variety of tags, including for protein purification and fluorescence microscopy and a method for genetic barcoding of C. difficile to facilitate competitive index experiments. We make these tools available in the hope that they will prove useful to the community in support of our growing understanding of these important bacteria.

Clostridioides difficile↗

PubMed2025

ClarID: A Human-Readable and Compact Identifier Specification for Biomedical Metadata Integration.

BACKGROUND: In biomedical research, subjects and biospecimens are commonly tracked using simple IDs or UUIDs, which guarantee uniqueness but convey no embedded semantic information. Contextual metadata (such as tissue type, diagnosis, or assay) is often stored separately, making integration, cohort selection, and downstream analysis cumbersome. While structured barcoding systems exist in large consortia (e.g., TCGA, GTEx) or domain-specific contexts (e.g., SPREC, GOLD), no unified, extensible framework currently spans both subjects and biosamples in a human- and machine-readable way. METHODS: We developed ClarID, a domain-agnostic specification that supports two identifier formats: (i) a human-readable form (e.g., 'CNAG_Test-HomSap-00001-LIV-TUM-RNA-C22.0-TRT-P1W' that encodes key metadata such as project, species, subject_id, tissue, assay, disease, timepoint and duration (from that event); and (ii) a compact version named 'stub' (e.g., 'CT01001LTR0N401T1W') optimized for filenames, pipelines, and labeling.ClarID is implemented through an open-source command-line tool, ClarID-Tools, which processes tabular metadata files (CSV/TSV) and uses a YAML-based codebook to generate, decode, and validate identifiers, as well as to create and read QR codes. The tool supports bulk and single-sample processing and allows easy integration with institutional workflows. RESULTS: To demonstrate ClarID's utility, we applied it to datasets from the Genomic Data Commons (GDC), generating interpretable identifiers for more than 113,000 clinical records (subjects) and 4,255 biospecimen records. All materials, including pre-processing scripts, input and encoded data, are publicly available and fully reproducible via the accompanying GitHub repository and Google Colab. CONCLUSIONS: ClarID fills a critical gap between opaque accession numbers and rich metadata schemas by embedding key context directly into structured identifiers. It enhances traceability, facilitates downstream analysis, and remains adaptable to project-specific needs through a configurable codebook. The accompanying ClarID-Tools software is freely available, together with full documentation and reproducible pipelines, at https://github.com/CNAG-Biomedical-Informatics/clarid-tools.

Biosample identifiers↗

PubMed2024

Reference Sequence Browser: An R application with a user-friendly GUI to rapidly query sequence databases.

Land managers, researchers, and regulators increasingly utilize environmental DNA (eDNA) techniques to monitor species richness, presence, and absence. In order to properly develop a biological assay for eDNA metabarcoding or quantitative PCR, scientists must be able to find not only reference sequences (previously identified sequences in a genomics database) that match their target taxa but also reference sequences that match non-target taxa. Determining which taxa have publicly available sequences in a time-efficient and accurate manner currently requires computational skills to search, manipulate, and parse multiple unconnected DNA sequence databases. Our team iteratively designed a Graphic User Interface (GUI) Shiny application called the Reference Sequence Browser (RSB) that provides users efficient and intuitive access to multiple genetic databases regardless of computer programming expertise. The application returns the number of publicly accessible barcode markers per organism in the NCBI Nucleotide, BOLD, or CALeDNA CRUX Metabarcoding Reference Databases. Depending on the database, we offer various search filters such as min and max sequence length or country of origin. Users can then download the FASTA/GenBank files from the RSB web tool, view statistics about the data, and explore results to determine details about the availability or absence of reference sequences.

User-Computer Interface↗

PubMed2026

GenBank mining reveals novel insights into Rhizobium phylogeny: Identical 16S rRNA sequences are mainly uncoupled from species designation, host plant, and geographic origin: How this search suggested the definition of a direct 'microbial h-index'.

16S rDNA is the historical gold standard for bacterial identification, particularly in metabarcoding approaches reliant on sequence similarity thresholds. We analyzed 6,660 Rhizobium 16S rRNA gene sequences from GenBank to examine the relationship between sequence identity and three metadata: species name, host plant, and geographic origin. Using an iterative BLAST-based pipeline, we detected 116,069 pairwise matches and assessed concordance among sequences (average length 1,328 bp) sharing 100% identity. For those in which the organism name, host plant and country of isolation were present in the record, surprisingly, 66.59% of identical sequence pairs showed full discordance across all three metadata, while only 1.40% shared the same name, host, and country. The most widespread sequence, detected 371 times, was associated with over 56 different host plants across 25 countries and bore multiple species name designations. These results highlight a striking mismatch between the 16S barcode and the taxonomic, ecological, and phenotypic variability it is assumed to reflect, likely arising from the slow evolution of rRNA genes contrasted with the mobility of ecologically relevant genes via horizontal transfer on plasmids, transposons, and phages. Our findings further challenge the limitations of relying on 16S rRNA alone for fine-scale taxonomic and metadata-based inference in capturing the true functional and ecological diversity of bacteria, endorsing the critical importance of polyphasic taxonomic approaches that integrate genomic, phenotypic, and ecological data. An interesting byproduct of the analysis was to realize the possibility of treating these data as if they were 'citations.' The more one finds the same query sequence, the more that sequence can be considered biologically 'cited', i.e., re-proposed elsewhere in the world. Thus, one can also analyze the h-index of such a ranking. In our Rhizobium dataset, we calculated an h-index = 201, meaning the sequence ranked 201st had 202 identical homologues in GenBank. Although the research effort on given species is directly connected with it, this number provides a quantitative indicator of a taxon's sequence recurrence and distribution within public databases, independent of nomenclatural inconsistencies, offering a novel framework for assessing bacterial representation across global datasets.

RNA, Ribosomal, 16S↗

PubMed1998

Relating personnel costs in special care units and in traditional care units to resident characteristics.

BACKGROUND: There are over 16 000 nursing homes in the United States (US), among which approximately 70% of residents are cognitively impaired. Reflecting this, approximately 20% of US nursing homes maintain Special Dementia Care Units (SCUs). SCUs supposedly provide more staff time and more specialized staff assignments to residents than do traditional care units. AIMS OF THE STUDY: This paper addresses the issues of staff time and assignment: do the costs of personal care inputs differ according to whether they are provided by SCUs or in traditional care settings? Related to this, are differences associated with the different settings, or are they accounted for by resident characteristics within the settings? METHODS: Given the bias generally associated with collection of staff time data, the author developed (supported by the Health Care Financing Administration and the National Institute on Aging) and used in this study a barcode-based system ('InfoAide'). Using InfoAide, each provider automatically recorded task- and resident-specific time expenditure data which were subsequently monetized, using prevailing local wage rates. Individual resident personal characteristics and status data were provided by another simultaneous study of SCU impacts among the same residents. Regression analysis (MANCOVA for significantly correlated dependent variables) was used to examine the relationships between cost and SCU/traditional status, and individual resident characteristics, separately for each category of provider. RESULTS: Controlling for resident characteristics, the cost of aide care is significantly (positively) related (p <=0.01) to SCU status. Cognitive impairment, ADL impairment and being restrained are also related to higher aide care cost (p <=0.05, p <=0.01, and p <=0.05, respectively). The same is generally true of Speech Therapy, Social Service and care by licensed practical nurses, although the differences between SCU and traditional care units are essentially trivial - and there are no SCU/traditional care differences for registered nurses. DISCUSSION: SCU/traditional unit status, even when combined with the central resident covariates, explains very little variance in service costs, other than among nursing aides; in separate MR analyses in which monetized service time was the dependent variable, the cumulative adjusted R2 among aides was 0.37; for each of the other categories of service provider, the adjusted R2 was less than 0.10. There were differences (particularly in cognitive and ADL impairment) between SCU and non-SCU residents; these differences were related to differences in basic services which were, in turn, provided primarily by aides. The increased level of care provided in SCUs is attributable primarily to nursing aides. However, there is relatively little (albeit statistically significant) variation in more 'elective'services according to individual characteristics or to SCU versus traditional unit placement. This discussion is limited by the absence of analyses of possible interactions among variables, and by the cross-sectional nature of the data presented here. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: This absence of a substantial relationship between SCU/traditional status suggests that dichotomization between SCU and traditional care is misplaced, and that more attention should perhaps be given to the targeting and tailoring of services related to individual gradations of impairment and need. IMPLICATIONS FOR HEALTH POLICY FORMULATIONS: A very considerable literature has developed recently pertaining to Special versus Traditional care for persons with dementing illness. These data suggest that this is not a fruitful distinction, and that more effort should be devoted to defining and quantifying the elements and quality of care provided to nursing home residents. IMPLICATIONS FOR FURTHER RESEARCH: Further research is needed into the components of optimal quality care for demented nursing home residents, and into the interaction among these components as they relate to resident outcomes.

Journal Article↗

PubMed2002

Studies of potential cerebrospinal fluid molecular markers for Alzheimer's disease.

There is a need for a reliable, molecular-based ante mortem diagnostic test for Alzheimer's disease (AD). In this study, we examined the use of two-dimensional protein electrophoresis for generating molecular barcodes which may be useful for the clinical differentiation of AD patients from normals. We compared cerebrospinal fluid samples taken from AD patients with confirmed post mortem pathology to comparable specimens from normal volunteers. Using canonical correlation analysis, a panel of nine molecular markers were identified which segregated diseased cases from normal controls. Using the scaled volume image analysis variable, a principal factor analysis was also used to distinguish normal from AD spinal fluid, based on molecular markers identified using a heuristic clustering algorithm. The use of panels of molecular markers derived from proteomic analysis may offer the best prospect for developing molecular diagnostic tests for complex neurodegenerative disorders such as AD.

Adult↗

PubMed2000

Service inputs and costs of care related to outcomes among cognitively impaired nursing home residents.

BACKGROUND: There are over 17 000 nursing homes in the United States. Within these, special care units (SCUs) provide a separate residential and/or activity locus for residents, and are expected to provide more staff time and more specialized staff assignments. This paper addresses a fundamental issue relating to the nature, quality and quantity of resident care inputs: what impacts of SCUs are associated with added service inputs, and thus with personnel costs, recognizing that personnel account for the majority of costs associated with nursing home care? AIMS OF THE STUDY: The aim of this aspect of the study was to determine the extent to which additions of staff would result in a diminution of deviant behaviors among residents of special care and of traditional care units. METHOD: The data were collected from a random sample of ten downstate nursing homes located in New York State. Using rigorous sampling procedures, random samples of 40 residents were drawn from each of the facilities, equally divided between special care unit and traditional care unit residents. Thus, the sampling design involved two levels of clustering: subjects were clustered within units and units were clustered within facilities. The observational behaviour measure was taken from the INCARE (institutional version of the Comprehensive Assessment and Referral Evaluation). The behavioral observation measure contains 23 items such as "disruptive of others", "picks/pulls clothing", "repetitive movements", "repetitive questioning"and "wandering". Each item is rated as to frequency of occurrence; ratings are collected on three occasions, and averaged. Outcome and covariate data (e.g., behavior and cognition) were collected by trained research staff who visited each site for three to four weeks of intensive data collection, accomplished through direct resident interviews, staff interviews and questionnaires and chart data abstraction. The clinical staff time data were collected using the InfoAide system, whereby each care provider used a portable barcode scanner to record the type of care given, the recipient and the duration of care. A random effects model using the SAS mixed procedure was applied to the data; adhering to this model, some effects were fixed and some random. The random effects were comprised of the subject (intercept or subject starting point at baseline) and the unit; used here was restricted maximum likelihood (REML) with the EM algorithm. RESULTS: There was a significant reduction of behavior disorder associated with more provision of aide time in SCUs as contrasted with non-SCUs. The greater the service provided, the greater the slope, i.e., the greater the reduction. That is, while SCU residents showed improvements in behavior accompanying increases in aide time, no such change was observed among non-SCU residents. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: The significant effect of SCU + time + aide-minutes indicates that more aide time on SCUs was associated with improvement in behavior. It appears that the important ingredient in relation to the reduction of behavior disorder is not membership in an SCU per se, but the provision of more aide time within SCUs. Those SCUs that provide more aide time have a better behavior outcome. Thus, these findings point to additional paths for exploration, i.e., future research needs to focus on elements of SCUs such as the available amounts of program and staff resources rather than on SCU status alone.

Journal Article↗

PubMed1999

Experiences in HCV-NAT screening prior to releasing cellular components by the German Red Cross Blood Transfusion Service of Baden-Württemberg.

In this report we present the accumulated data on nucleic acid testing (NAT) for hepatitis C virus (HCV) RNA of blood donations by the Blood Transfusion Service of Baden-Württemberg in the period between March 1997 and March 1999. An extra barcoded blood sample was collected from each donor. Samples were tested by NAT in mini-pools of maximally 96 samples. First-time and repeat donors were tested separately. RT/HCV-PCR was performed with the COBAS HCV Amplicortrade mark, versions 1.0 and 2.0 from Roche Diagnostic Systems. Many modifications have been introduced to the original protocol since the implementation of NAT screening aiming at an increase in the sensitivity and specificity of the assay. NAT positive pools containing serologically positive samples were detected. Initially, reactive pools were identified that could not be confirmed by secondary pooling and single testing procedures. So far, no serologically negative but NAT positive sample has been found.

Blood Banks↗

PubMed2025

High baseline PD-1+ CD8 T Cells and TIGIT+ CD8 T Cells in circulation associated with response to PD-1 blockade in patients with non-small cell lung cancer.

Blockade of PD-1 or its ligand PD-L1 with antibodies revolutionized treatment for stage III and IV non-small cell lung cancer (NSCLC) since FDA approval in 2015. However, resistance to PD-1/PD-L1 blockade remains a challenge, highlighting the need for biomarkers. This study analyzed 36 stage III and IV NSCLC patients, classified as responders or non-responders by iRECIST criteria. Peripheral blood mononuclear cells collected at baseline and post-treatment were examined for surface and intracellular markers via flow cytometry. CITE sequencing of CD8 T cells from three patients and plasma ctDNA analysis from 13 patients was performed using an ultrasensitive barcoding and next-generation sequencing method. Phenotypic analysis of CD8 T cells revealed higher TIGIT and PD-1 expression at baseline in responders compared to non-responders. Long-term responders (> 21 months) exhibited increased TCF-1+PD-1+ CD8 T cell frequencies relative to shorter-term responders (> 15 months) and non-responders. CITE sequencing revealed intrinsic differences in immune regulation pathways between responders and non-responders. Finally, non-responders showed elevated and increasing ctDNA levels post-treatment, correlating with declining TCF-1+PD-1+ CD8 T cells. Our data suggests combining CD8 T cell analysis with ctDNA dynamics could identify promising biomarkers for monitoring clinical response and treatment efficacy to PD-1/PD-L1 blockade in NSCLC.

Humans↗

PubMed2005

Independent methods for evolutionary genetic dating provide insights into Y-chromosomal STR mutation rates confirming data from direct father-son transmissions.

Five datasets consisting of samples jointly typed for Y-chromosomal Unique Event Polymorphism (UEP) and simple tandem repeat (STR) markers were re-examined with independent methods for dating the different UEP-defined lineages. We report on the results obtained with an original program which performs comparative dating (BARCODE) in comparison with coalescent analyses performed with BATWING under various prior conditions. For the first time these are equalized across datasets. We also report on the results concerning STR mutability as obtained with both methods. The dating results for the entire series of sub-haplogroups are highly correlated. Within coalescent analyses, dating-estimates under a wide range of priors tend to converge. As to STR mutation rates the main findings are: (1) large variations among loci within the same dataset with both methods, also when the same prior was used for all loci; (2) figures in most cases above 1x10(-3) and often above 2x10(-3); (3) a few loci that mutate differently across studies. These results closely match those obtained from direct observation of father-son transmissions. Overall, this work supports the use of genetic dating procedures that take into account the complexity of the phenomenon, with a repertoire of priors tailored on the particular dataset.

Chromosomes, Human, Y↗

PubMed2001

Managing predefined templates and macros for a departmental speech recognition system using common software.

The authors have developed a networked database system to create, store, and manage predefined radiology report definitions. This was prompted by complete departmental conversion to a computer speech recognition system (SRS) for clinical reporting. The software complements and extends the capabilities of the SRS, and 2 systems are integrated by means of a simple text file format and import/export functions within each program. This report describes the functional requirements, design considerations, and implementation details of the structured report management software. The database and its interface are designed to allow all radiologists and division managers to define and update template structures relevant to their practice areas. Two key conceptual extensions supported by the template management system are the addition of a template type construct and allowing individual radiologists to dynamically share common organ system or modality-specific templates. In addition, the template manager software enables specifying predefined report structures that can be triggered at the time of dictation from printed lists of barcodes. Initial experience using the program in a regional, multisite, academic radiology practice has been positive.

Computer Peripherals↗

PubMed2026

Assessment of Genetic Diversity and Population Structure on Azadirachta indica A. Juss. in an Urban Metropolitan: Ahmedabad, India.

Azadirachta indica (A. indica) A. Juss., commonly known as Neem, is a valuable multipurpose tree with profound medicinal properties and socioeconomic importance, widely recognized since ancient Ayurvedic times. Despite its prominence, knowledge about its genetic diversity within the metropolitan area of Ahmedabad is limited. This study marks the first in-depth exploration of the genetic diversity and population structure of A. indica in Ahmedabad. The authenticity of the species was validated through DNA barcoding, and a Geographical Information System (GIS) was used to collect the samples. A total of 35 A. indica accessions were analyzed using five Inter Simple Sequence Repeat (ISSR) primers. Genetic diversity and population structure were evaluated using Inter Simple Sequence Repeat (ISSR) markers through polymorphism assessment, clustering, ordination, and Bayesian population structure analyses. ISSRs revealed a high level of polymorphism (75.66%), indicating substantial genetic variability among accessions. An analysis of genetic diversity indices revealed low to moderate diversity (Hs = 0.14, Ht = 0.217, I = 0.217). Analysis of Molecular Variance (AMOVA) analysis depicted 81% variation within the population and 19% among the population. Low to moderate genetic differentiation (Gst = 0.319) and moderate gene flow (Nm = 1.06) indicated that urban development has not hindered gene flow among populations. Mantel's test revealed a weak but significant correlation between genetic and geographic distances, suggesting limited isolation by distance. The estimated ΔK using STRUCTURE exhibited two subpopulations, representing two gene pools for A. indica accessions (K = 2). Collectively, these patterns indicate that urbanization has not severely disrupted genetic connectivity in A. indica, reflecting its resilience and adaptive potential in a metropolitan environment. These findings provide pivotal knowledge for further understanding the genetic diversity and population structure of A. indica in one of the fastest-growing cities in India, which can be utilized for new breeding programmes, sustainable development and future conservation strategies around the globe.

India↗