Biology subjects

Zaman, S.

Publications and source records attributed to Zaman, S..

8 recordsLinked to original sources

bioRxiv2026

Chromosome-level Atlantic switchgrass assemblies reveal a supernumerary B-Chromosome with transcriptional and evolutionary impacts

Supernumerary B-Chromosomes are extra genetic elements that frequently deviate from Mendelian inheritance to ensure their own survival. Their evolutionary origins and biological impacts within natural plant populations remain largely unexplored. Switchgrass (Panicum virgatum) is a model for studies of local adaptation, but reliance on a single reference genome has limited the detection of lineage-specific genomic content. We generated chromosome-level genome assemblies from the diverged Atlantic switchgrass subpopulation and discovered a previously undetected genomic element: a ~34 Mb supernumerary B-Chromosome, validated by Hi-C contact mapping and long-read depth, which indicates two to four B copies per nucleus. The B-Chromosome has a bipartite architecture including a gene-rich, single-copy proximal region (~8 Mb) and a repeat-rich, gene-poor distal region (~27 Mb) dominated by LTR/Ty3 (Gypsy) elements and punctuated by Mutator TIR peaks. High-resolution mapping reveals a highly rearranged chimera of fragments from multiple autosomes, biased toward the N-subgenome. Intact LTR retrotransposons on the B-Chromosome are younger than those on the A-Chromosomes, especially in its distal region, consistent with a B-Chromosome that arose and expanded within the Atlantic lineage. Population screening and phylogenetic analysis indicate that the B-Chromosome is largely restricted to the Atlantic subpopulation and likely has a single origin. In a typical family, 70% of open-pollinated progeny of B-positive maternal plants were B-positive, with substantial variation among families. Finally, B-Chromosome presence is associated with expression differences in A-Chromosome genes that differ between genetic backgrounds. Together, our results show how accessory chromosomes contribute to the evolutionary and genomic diversity of natural plant populations.

genomics↗

bioRxiv2025

Acute cold exposure in humans shifts the circulating proteome to a cardioprotective and anti-aging profile

Cold exposure has been proposed to provide a constellation of salutary effects, yet its molecular correlates remain largely unknown. Brown adipose tissue (BAT) is the main site of adaptive thermogenesis, and its prevalence is linked with cardiometabolic health. Since the benefits of BAT activation and cold exposure more generally may be mediated through blood-borne factors, we conducted an extensive analysis of the circulating proteome linked with an acute cold challenge in healthy adults. Our goal was to uncover early molecular changes triggered by cooling and establish their specific relationships with the human brown adipocyte secretome as well as various phenotypic traits. Based on comprehensive inter-cohort validations, we provide the first reproducible proteomic signature of cold exposure in humans. Our data demonstrate that cooling favorably modulates circulating mediators linked with chronological aging, as well as metabolic and cardiovascular diseases, providing new potential biochemical transducers of the benefits associated with cold therapy. HighlightsO_LICooling alters the plasma proteome with striking concordance in independent human cohorts. C_LIO_LICooling represses circulating proteins linked with type 2 diabetes, hypercholesterolemia, hypertension, coronary heart disease and heart failure. C_LIO_LIThe circulating signature of cooling resembles a cardioprotective and anti-aging profile. C_LI

physiology↗

bioRxiv2024

Biocompatible Neodymium-Doped Nanocrystals as Probes for Diffraction-limited, in vitro Temperature Sensing

Localized hyperthermia is a promising approach to cancer therapy. However, its clinical potential is limited by heterogeneous heat distribution within tumors, and advanced methods to measure temperature at the sub-micron level are therefore required. To address this challenge, luminescent nanothermometers, such as lanthanide-doped nanocrystals (Ln-NC) operating in the near-infrared (NIR), have been investigated for accurate spatiotemporal thermal monitoring. In this study, the synthesis of neodymium-doped, sodium yttrium fluoride nanocrystals (Nd-NCs) was optimized to achieve high photoluminescence (PL) intensity by adjusting the dopant concentration and by shelling with inert layers. Standard curves for luminescence-based temperature readout were developed using ratiometric analysis of the temperature-dependent PL spectra in the 850-920 nm biological window, showing excellent linearity and high thermal sensitivity. A silica shell was added to the particles and shown to confer excellent aqueous stability and biocompatibility in A549 lung cancer cells. Finally, luminescent thermal readout was demonstrated in vitro in A549 cells by spectrally resolving the diffraction-limited luminescence spots at a single-particle scale over a clinically relevant temperature range from 20-50 {degrees}C. The application of the developed nanothermometer as preclinical tools for NP-HT characterization could provide crucial information on the therapeutic temperature achieved in and around the tumor area. This could be key to optimizing NP properties and therapeutic parameters, for the development of viable hyperthermal cancer treatments. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=84 SRC="FIGDIR/small/579538v2_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@1b06abdorg.highwire.dtl.DTLVardef@12fa23corg.highwire.dtl.DTLVardef@4439c1org.highwire.dtl.DTLVardef@12bcedd_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2022

Welcome to the big leaves: best practices for improving genome annotation in non-model plant genomes

* Premise of the studyRobust standards to evaluate quality and completeness are lacking for eukaryotic structural genome annotation. Genome annotation software is developed with model organisms and does not typically include benchmarking to comprehensively evaluate the quality and accuracy of the final predictions. Plant genomes are particularly challenging with their large genome sizes, abundant transposable elements (TEs), and variable ploidies. This study investigates the impact of genome quality, complexity, sequence read input, and approach on protein-coding gene prediction. * MethodsThe impact of repeat masking, long-read, and short-read inputs, de novo, and genome-guided protein evidence was examined in the context of the popular BRAKER and MAKER workflows for five plant genomes. Annotations were benchmarked for structural traits and sequence similarity. * ResultsBenchmarks that reflect gene structures, reciprocal similarity search alignments, and mono-exonic/multi-exonic gene counts provide a more complete view of annotation accuracy. Transcripts derived from RNA-read alignments alone are not sufficient for genome annotation. Gene prediction workflows that combine evidence-based and ab initio approaches are recommended, and a combination of short and long-reads can improve genome annotation. Adding protein evidence from de novo assemblies, genome-guided transcriptome assemblies, or full-length proteins from OrthoDB generates more putative false positives as implemented in the current workflows. Post-processing with functional and structural filters is highly recommended. * DiscussionWhile annotation of non-model plant genomes remains complex, this study provides recommendations for inputs and methodological approaches. We discuss a set of best practices to generate an optimal plant genome annotation, and present a more robust set of metrics to evaluate the resulting predictions.

bioinformatics↗

bioRxiv2022

Adolescent ethanol exposure promotes mechanical allodynia and alters dopamine transmission in the nucleus accumbens shell.

Excessive alcohol consumption in adolescence can disrupt neural development and may augment pain perception. Recent studies have shown that the nucleus accumbens (NAc) shell is involved in mediating pain sensitivity after peripheral inflammation in rodent models of chronic pain and alcohol use disorder (AUD). Interestingly, there have been very few studies examining the impact of chronic ethanol exposure during adolescence on pain sensitivity in adulthood. Therefore, in this project we investigated the impact of adolescent chronic intermittent ethanol (aCIE) exposure on mechanical allodynia and thermal hyperalgesia. Furthermore, given the involvement of the NAc shell in pain processing and chronic ethanol mediated changes, we measured changes in accumbal dopamine kinetics during protracted withdrawal. We found that both male and female aCIE rats show mechanical allodynia during withdrawal; however, only male rats exhibit thermal hyperalgesia during protracted withdrawal. Furthermore, male and female aCIE rats show greater evoked tonic dopamine release, maximal rate of dopamine reuptake, and dopamine affinity to the dopamine transporter in the NAc shell compared to controls. With phasic stimulation, aCIE rats also showed greater dopamine release compared to air exposed rats. These data suggest that aCIE exposure exacerbates pain sensitivity during withdrawal. Furthermore, based on prior literature, it is possible that the increased pain sensitivity may be driven, at least in part, by augmented dopamine kinetics in the NAc shell observed in the current study.

neuroscience↗

bioRxiv2021

Phylogenetic reconciliation reveals extensive ancestral recombination in Sarbecoviruses and the SARS-CoV-2 lineage

An accurate understanding of the evolutionary history of rapidly-evolving viruses like SARS-CoV-2, responsible for the COVID-19 pandemic, is crucial to tracking and preventing the spread of emerging pathogens. However, viruses undergo frequent recombination, which makes it difficult to trace their evolutionary history using traditional phylogenetic methods. Here, we present a phylogenetic workflow, virDTL, for analyzing viral evolution in the presence of recombination. Our approach leverages reconciliation methods developed for inferring horizontal gene transfer in prokaryotes, and, compared to existing tools, is uniquely able to identify ancestral recombinations while accounting for several sources of inference uncertainty, including in the construction of a strain tree, estimation and rooting of gene family trees, and reconciliation itself. We apply this workflow to the Sarbecovirus subgenus and demonstrate how a principled analysis of predicted recombination gives insight into the evolution of SARS-CoV-2. In addition to providing confirming evidence for the horseshoe bat as its zoonotic origin, we identify several ancestral recombination events that merit further study.

evolutionary biology↗

bioRxiv2020

The giant sequoia genome and proliferation of disease resistance genes

The giant sequoia (Sequoiadendron giganteum) of California are massive, long-lived trees that grow along the U.S. Sierra Nevada mountains. As they grow primarily in isolated groves within a narrow range, conservation of existing trees has been a national goal for over 150 years. Genomic data are limited in giant sequoia, and the assembly and annotation of the first giant sequoia genome has been an important goal to allow marker development for restoration and management. Using Illumina and Oxford Nanopore sequencing combined with Dovetail chromosome conformation capture libraries, 8.125 Gbp of sequence was assembled into eleven chromosome-scale scaffolds. This giant sequoia assembly represents the first genome sequenced in the Cupressaceae family, and lays a foundation for using genomic tools to aid in giant sequoia conservation and management. Beyond conservation and management applications, the giant sequoia assembly is a resource for answering questions about the life history of this enigmatic and robust species. Here we provide an example by taking an inventory of the large and complex family of NLR type disease resistance genes.

genomics↗

bioRxiv2019

Comparative Genomics of Six Juglans Species Reveals Patterns of Disease-associated Gene Family Contractions.

Juglans (walnuts), the most speciose genus in the walnut family (Juglandaceae) represents most of the familys commercially valuable fruit and wood-producing trees and includes several species used as rootstock in agriculture for their resistance to various abiotic and biotic stressors. We present the full structural and functional genome annotations of six Juglans species and one outgroup within Juglandaceae (Juglans regia, J. cathayensis, J. hindsii, J. microcarpa, J. nigra, J. sigillata and Pterocarya stenoptera) produced using BRAKER2 semi-unsupervised gene prediction pipeline and additional in-house developed tools. For each annotation, gene predictors were trained using 19 tissue-specific J. regia transcriptomes aligned to the genomes. Additional functional evidence and filters were applied to multiexonic and monoexonic putative genes to yield between 27,000 and 44,000 high-confidence gene models per species. Comparison of gene models to the BUSCO embryophyta dataset suggested that, on average, genome annotation completeness was 89.6%. We utilized these high quality annotations to assess gene family evolution within Juglans and among Juglans and selected Eurosid species, which revealed significant contractions in several gene families in J. hindsii including disease resistance-related Wall-associated Kinase (WAK) and Catharanthus roseus Receptor-like Kinase (CrRLK1L) and others involved in abiotic stress response. Finally, we confirmed an ancient whole genome duplication that took place in a common ancestor of Juglandaceae using site substitution comparative analysis. SIGNIFICANCEHigh-quality full genome annotations for six species of walnut (Juglans) and a wingnut (Pterocarya) outgroup were constructed using semi-unsupervised gene prediction followed by gene model filtering and functional characterization. These annotations represent the most comprehensive set for any hardwood genus to date. Comparative analyses based on the gene models uncovered rapid evolution in multiple gene families related to disease-response and a whole genome duplication in a Juglandaceae common ancestor.

genomics↗