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Biology subjects

Zhou, Q.

Publications and source records attributed to Zhou, Q..

At least 145 records · Page 8Linked to original sources

Complex Polyploids: Origins, Genomic Composition, and Role of Introgressed Alleles

AbstractIntrogression allows polyploid species to acquire new genomic content from diploid progenitors or from other unrelated diploid or polyploid lineages, contributing to genetic diversity and facilitating adaptive allele discovery. In some cases, high levels of introgression elicit the replacement of large numbers of alleles inherited from the polyploids ancestral species, profoundly reshaping the polyploids genomic composition. In such complex polyploids it is often difficult to determine which taxa were the progenitor species and which taxa provided additional introgressive blocks through subsequent hybridization. Here, we use population-level genomic data to reconstruct the phylogenetic history of Betula pubescens (downy birch), a tetraploid species often assumed to be of allopolyploid origin and which is known to hybridize with at least four other birch species. This was achieved by modeling of polyploidization and introgression events under the multispecies coalescent and then using an approximate Bayesian computation (ABC) rejection algorithm to evaluate and compare competing polyploidization models. We provide evidence that B. pubescens is the outcome of an autoploid genome doubling event in the common ancestor of B. pendula and its extant sister species, B. platyphylla, that took place approximately 178,000-188,000 generations ago. Extensive hybridization with B. pendula, B. nana, and B. humilis followed in the aftermath of autopolyploidization, with the relative contribution of each of these species to the B. pubescens genome varying markedly across the species range. Functional analysis of B. pubescens loci containing alleles introgressed from B. nana identified multiple genes involved in climate adaptation, while loci containing alleles derived from B. humilis revealed several genes involved in the regulation of meiotic stability and pollen viability in plant species.

genomics↗

Multiomic ALS signatures highlight sex differences and molecular subclusters and identify the MAPK pathway as therapeutic target

Amyotrophic lateral sclerosis (ALS) is the most common motor neuron disease and lacks effective disease-modifying treatments. Here, we performed a multiomic analysis of the prefrontal cortex of 51 patients with sporadic ALS and 50 control subjects, as well as four transgenic mouse models of C9orf72-, SOD1-, TDP-43-, and FUS-ALS to characterize early and sex-specific disease mechanisms in ALS. Integrated analyses of transcriptomes, (phospho)proteomes, and miRNAomes revealed more pronounced changes in males. We identified transcriptome-based human ALS subclusters driven by the immune response, ECM, mitochondrial respiration, and RNA metabolism. The molecular signatures of human subclusters were reflected in specific mouse models. Individual and integrative multiomics analysis highlighted the mitogen-activated protein kinase pathway as an early disease-relevant mechanism. Its modulation by trametinib in vitro and in vivo validated that mitogen-activated protein kinase kinase 2 is a promising therapeutic target with beneficial effects in females.

neuroscience↗

Flavinated SDHA Underlies the Change in Intrinsic Optical Properties of Oral Cancers

The molecular basis of reduced autofluorescence in oral squamous cell carcinoma (OSCC) cells relative to normal cells has been speculated to be due to lower levels of free flavin adenine dinucleotide (FAD). This speculation, along with differences in the intrinsic optical properties of extracellular collagen, lie at the foundation of the design of currently-used clinical optical detection devices. Here, we report that free FAD levels may not account for differences in autofluorescence of OSCC cells, but that the differences relate to FAD as a co-factor for flavination. Autofluorescence from a 70 kDa flavoprotein, succinate dehydrogenase A (SDHA), was found to be responsible for changes in optical properties within the FAD spectral region with lower levels of flavinated SDHA in OSCC cells. Since flavinated SDHA is required for functional complexation with succinate dehydrogenase B (SDHB), decreased SDHB levels were observed in human OSCC tissue relative to normal tissues. Accordingly, the metabolism of OSCC cells was found to be significantly altered relative to normal cells, revealing vulnerabilities for both diagnosis and targeted therapy. Optimizing non-invasive tools based on optical and metabolic signatures of cancers will enable more precise and early diagnosis leading to improved outcomes in patients.

cancer biology↗

Prominent contributions of selective neuronal subtypes to pediatric drug-resistant focal dysplasia

About 75% cases of epilepsy begin during childhood, and 10 - 30% of pediatric epilepsy patients are resistant to drug treatment. The predominant seizure type in children is focal cortical dysplasia (FCD) which is highly associated with drug-resistant epilepsy, but its underlying cause is poorly understood. We performed single-cell RNA sequencing and patch-clamp recording on fresh brain tissues obtained from pediatric FCD patients shortly after surgery to reveal critical factors contributing to FCD. We report that known epilepsy genes or significant transcriptomic alterations occur in only a few neuronal subgroups, suggesting that epilepsy-associated neurons cluster into only a few neuronal subtypes. These epilepsy-subtypes displayed significant epilepsy-related transcriptomic alterations, especially in the genes associated with excitation/inhibition balance and neuron functional signal pathways. Among eight epilepsy-subtypes, L2_4_CUX2_YWHAH and PVALB_RGS5 subtypes showed the most prominent alterations in FCD patient tissues. Supporting PV-neurons being important, recording from fast-spiking/parvalbumin-containing neurons in acute FCD patient brain slices revealed reduced excitatory synaptic inputs, implicating lower activity in these neurons and fewer synaptic inputs onto them. A higher percentage of mitochondria genes, and likely higher activity in the pathways associated with oxidative phosphorylation and ATP biosynthetic process, was observed in the epilepsy-subtypes, suggesting a high energy expenditure in them. Interestingly, the activity of the above two pathways in most epilepsy-subtypes was lower in the FCD patients, suggesting these subtypes may be more vulnerable to energy deficit in epilepsy. Altogether, transcriptomics is significantly altered in only a few neuronal subtypes in pediatric FCD patient brains. These selective epilepsy-subtypes may play prominent roles in the genesis of pediatric drug-resistant seizure and targeting them may provide new treatment options.

bioinformatics↗

Maresin-2 Fine-tunes ULK1 O-GlcNAcylation to Improve Post Myocardial Infarction Remodeling

Maresin-2, a specialized pro-solving mediator of inflammation has been consolidated to be a novel cytokine fine-tuning inflammatory cascade. However, the underlying molecular basis is still largely unknown. Focused on cardiac dysfunction and remodeling, we employed in vivo- and in vitro- based genome editing methodology tools including adenosine associated virus, adenosine virus, lenti-virus, plasmid transfection, and CRISPR-Cas9 methodology for investigation. As suggested, exogenous maresin-2 supplement facilitated autophagosome formation by microtubule-associated proteins 1A/1B light chain 3B (LC3) conjugation system under the modulation of O-GlcNAcylation dependent ULK1 activation, whereas reversed by ULK1 S409A and S422A mutagenesis, showcasing the potential O-GlcNAc (O-linked {beta}- N-acetylglucosamine) modifiable sites on ULK1. Moreover, we found that hereafter maresin-2 treatment glutamine-fructose-6-phosphate aminotransferase 1 (GFAT1) which is accessary to sense hexosamine biosynthesis influx is more likely the prime checkpoint for conjugating O-terminal {beta}-N-acetylglucosamine motif onto ULK1, rather than O-linked N-acetylglucosaminyltransferase (OGT). Mechanistically, maresin-2 largely prohibits transforming growth factor-{beta} (TGF-{beta})-activated kinase 1 (TAK1), therefore increasing the availability of TAB1 for GFAT1, which encourages O-GlcNAcylation of ULK1.

molecular biology↗

SALL4B, not targeted by IMiD, is important for SALL4-mediated tumorigenesis

Immunomodulatory (IMiD) drugs have shown a prominent therapeutic activity in hematologic malignancies; however, their usage in solid tumors is limited. The oncofetal protein SALL4 is essential for cancer cell survival. While IMiDs can induce SALL4 degradation, they fail to induce cell death in SALL4-expressing cancer cell lines. Here, we observed that this inefficacy arose from their selective degradation of the long SALL4 isoform, while sparing the short SALL4B isoform. Selective silencing of SALL4B phenocopied total SALL4 depletion by inducing cancer apoptosis, underscoring the critical role of SALL4B in cancer maintenance. Recognizing that IMiDs cant degrade SALL4B, we performed a high-throughput screen to identify compound(s) that could achieve this. We identified a small molecule compound that degrades both SALL4 isoforms with enhanced potency towards SALL4B in a cereblon- and proteasome-dependent manner. This compound suppressed cancer cell proliferation and attenuated tumor development in both cell line and patient-derived xenograft models. Transcriptomic analyses further revealed convergent effects of genetic and pharmacologic SALL4B depletion on DNA damage response and replication pathways. Together, these findings identify SALL4B as the therapeutically relevant isoform in SALL4-dependent cancers and establish isoform-aware targeted degradation as a strategy to overcome the limitation of IMiDs in solid tumors. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/548071v2_ufig1.gif" ALT="Figure 1"> View larger version (66K): org.highwire.dtl.DTLVardef@99670dorg.highwire.dtl.DTLVardef@13ca58forg.highwire.dtl.DTLVardef@998e7eorg.highwire.dtl.DTLVardef@15a1875_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract | Identification of QE: a non-IMiDs degrader capable of degrading both SALL4A and SALL4B, triggers anti-cancer effects beyond IMiDs, and Impacts of QE on Key Validated SALL4B Targets and Pathways C_FIG

cancer biology↗

AraENCODE: a comprehensive epigenomic database of Arabidopsis Thaliana

Arabidopsis (Arabidopsis thaliana) is a vital model organism in plant biology and genetics. In the last two decades, researchers have made significant progresses in characterizing the chromatin conformation and epigenomic information within the Arabidopsis genome. This information includes but is not limited to the higher structure of chromosomes, histone modification, DNA methylation, and chromatin accessibility. The results of these studies have provided an additional layer of information that complements the DNA sequence data. However, utilizing such knowledge poses a challenge for certain groups that lack bioinformatics analysts or adequate computing resources. A user-friendly and reproducible platform for accessing this information is urgently needed. In this study, we have developed a comprehensive epigenomic database for Arabidopsis (AraENCODE http://glab.hzau.edu.cn/AraENCODE), which comprises a total of 4,511 data libraries, including published chromatin conformation capture datasets (Hi-C, HiChIP), epigenomic datasets (ChIP-Seq, ATAC-Seq, FAIRE-Seq, MNase-Seq, DNase-Seq, BS-seq), and transcriptome data (RNA-Seq, miRNA-Seq). Furthermore, we have incorporated various existing resources, such as single nucleotide polymorphisms (SNPs), cis-regulatory modules, and multi-omics associations. We aim to provide a novel platform for investigating the regulation of epigenetic and chromatin interactions in Arabidopsis in relation to biological processes.

bioinformatics↗

A Novel Angiogenesis Role of GLP-1(32-36) to Rescue Diabetic Ischemic Lower Limbs via GLP-1R-Dependent Glycolysis

Glucagon-like peptide 1 (GLP-1) improves angiogenesis, but the mechanism remains unclear. To address this question, we conducted a metabolomics analysis in bone marrow-derived endothelial progenitor cells (EPCs) isolated from T1DM mice treated with or without GLP-1(32-36) amide, an end-product of GLP-1. GLP-1(32-36) treatment recovered glycolysis. In addition, GLP-1(32-36) treatment rescued diabetic ischemic lower limbs and EPCs dysfunction by regulating PFKFB3-driven glycolytic flux capacity and mitochondrial dynamics. The effects of GLP-1(32-36) were abolished in mice lacking a functional GLP-1 receptor (Glp1r-/-), which could be partially rescued in EPCs transiently expressing GLP-1R. GLP-1(32-36) treatment activated the eNOS/cGMP/PKG pathway, increased glycolysis, and enhanced EPCs angiogenesis. Taken together, these findings suggest that GLP-1(32-36) could be used as a monotherapy or add-on therapy with existing treatments for DPAD. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=117 SRC="FIGDIR/small/543344v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@2559eorg.highwire.dtl.DTLVardef@1430faborg.highwire.dtl.DTLVardef@1b9b188org.highwire.dtl.DTLVardef@36809c_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

Cryo-electron tomography reveals postsynaptic nanoblocks in excitatory synapses for transcellular alignment

The nanoscale organization of proteins within synapses is critical for maintaining and regulating synaptic transmission and plasticity. Here, we use cryogenic electron tomography to directly visualize the three-dimensional architecture and supramolecular organization of pre-cleft-postsynaptic components in their near-native cellular context in both synaptosomes from rat hippocampi and synapses from rat primary cultured neurons. High-resolution electron microscopy and quantitative analyses revealed that postsynaptic density (PSD) is composed of membrane-associated nanoblocks of various sizes, which are in close relationship with potential presynaptic release sites through adhesion molecules spanning the synaptic cleft, as well as with post-synaptic receptors. Subtomogram averaging from synaptosomes showed two distinct types of postsynaptic membrane proteins at resolutions of 24 [A] and 26 [A] respectively. Furthermore, our data reveal that majority of potential release sites and [~]50% subtomogram averaged receptor-like particles are located within the boundary of PSD nanoblocks, while PSD nanoblocks might be redundant for neurotransmission. The results of this study provide a more comprehensive understanding of synaptic ultrastructure and suggest that PSD is composed of clustering of various nanoblocks, which likely underlies the dynamic nature of PSD to modulate synaptic strength.

neuroscience↗

Skin permeable polymer for noninvasive transdermal insulin delivery

Subcutaneous injection of insulin is the current standard medication for many diabetic patients. Convenient and painless noninvasive transdermal insulin delivery has long been pursued but yet succeeded due to no such technologies for large biomacromolecules. We find a tertiary amine oxide-based polyzwitterion, OPDMA, that can efficiently penetrate both the stratum corneum (SC) and viable epidermis into circulation. So its conjugate with insulin, OPDMA-I, applied on the skin can exhibit hypoglycemic effects as efficiently as subcutaneously injected insulin in type-1 diabetic mice and minipigs. The unique pH-dependent cationic-to-zwitterionic transition of OPDMA in the characteristic acidic-to-neutral pH gradient from the skin surface to deep SC enables fast transdermal delivery of OPDMA and its conjugate. On the skin, OPDMA binds to carboxylic acids in the acidic sebum layer, enriching OPDMA-I on the SC. As pH increases in deeper SC layers, binding between OPDMA-I and the skin weakens gradually, allowing for diffusion through inter-corneocyte gaps and penetration into viable epidermis and finally entering the systemic circulation via dermal lymphatic vessels. This process does not alter SC microstructures or cause any physiological changes in the skin. This study represents a groundbreaking example of noninvasive transdermal protein delivery.

bioengineering↗

Assessing Genetic Diversity in Critically Endangered Chieniodendron hainanense Populations within Fragmented Habitats in Hainan

AbstractHabitat fragmentation engenders a reduction in the geographic distribution of species, thereby rendering diminutive populations susceptible to extinction due to environmental, demographic, and genetic factors. Chieniodendron hainanense (henceforth C. hainanense) exemplifies a wild plant with extremely small populations (WPESP) and faces endangerment, necessitating urgent national conservation efforts. Elucidating the genetic diversity of C. hainanense is crucial for uncovering underlying mechanisms and devising protective strategies. In the present study, 35 specimens from six distinct cohort groups were genotyped utilizing genotyping-by-sequencing (GBS) and single nucleotide polymorphism (SNP) methodologies. The results indicated that C. hainanense exhibits limited genetic diversity. Observed heterozygosity within C. hainanense populations spanned from 10.79% to 14.55%, with an average value of 13.15%. The six C. hainanense populations can be categorized into two distinct groups: (1) Diaoluoshan and Baishaling, and (2) Wuzhishan, Huishan, Bawangling, and Jianfengling. The degree of genetic differentiation among C. hainanense populations is relatively weak. The observed loss of diversity can be attributed to the effects of natural selection.

ecology↗

A parabrachial-hypothalamic parallel circuit governs cold defense in mice

Thermal homeostasis is vital for mammals and is controlled by brain neurocircuits. Remarkable advances have been made in understanding how neurocircuits centered in the hypothalamic preoptic area (POA), the brains thermoregulation center, control warm defense, whereas mechanisms by which the POA regulates cold defense remain unclear. Here, we confirmed that the pathway from the lateral parabrachial nucleus (LPB) to the POA, is critical for cold defense. Parallel to this pathway, we uncovered that a pathway from the LPB to the dorsomedial hypothalamus (DMH), namely the LPB[->]DMH pathway, is also essential for cold defense. Projection-specific blockings revealed that both pathways provide an equivalent and cumulative contribution to cold defense, forming a parallel circuit. Specifically, activation of the LPB[->]DMH pathway induced strong cold-defense responses, including increases in thermogenesis of brown adipose tissue (BAT), muscle shivering, heart rate, and physical activity. Further, we identified a subpopulation of somatostatin+ neurons in the LPB that target the DMH to promote BAT thermogenesis. Therefore, we reveal a parabrachial-hypothalamic parallel circuit in governing cold defense in mice. This not only enables resilience to hypothermia but also provides a scalable and robust network in heat production, reshaping our understanding of how neural circuits regulate essential homeostatic behaviors.

neuroscience↗

Lattice-Boltzmann Modelling for Inertial Particle Microfluidics Applications -A Tutorial Review

Inertial particle microfluidics (IPMF) is an emerging technology for the manipulation and separation of microparticles and biological cells. Since the flow physics of IPMF is complex and experimental studies are often time-consuming or costly, computer simulations can offer complementary insights. In this tutorial review, we provide a guide for researchers who are exploring the potential of the lattice-Boltzmann (LB) method for simulating IPMF applications. We first review the existing literature to establish the state of the art of LB-based IPMF modelling. After summarising the physics of IPMF, we then present related methods used in LB models for IPMF and show several case studies of LB simulations for a range of IPMF scenarios. Finally, we conclude with an outlook and several proposed research directions.

biophysics↗

A longitudinal resource for population neuroscience of school-age children and adolescents in China

During the past decade, cognitive neuroscience has been calling for population diversity to address the challenge of validity and generalizability, ushering in a new era of population neuroscience. The developing Chinese Color Nest Project (devCCNP, 2013-2022), a ten-year pilot stage of the lifespan CCNP (2013-2032), is an ongoing project focusing on brain-mind development. The project aims to create and share a large-scale, longitudinal and multimodal dataset of typically developing children and adolescents (ages 6.0-17.9 at enrolment) in the Chinese population. The devCCNP houses not only phenotypes measured by demographic, biophysical, psychological and behavioural, cognitive, affective, and ocular-tracking assessments but also neurotypes measured with magnetic resonance imaging (MRI) of brain morphometry, resting-state function, naturalistic viewing function and diffusion structure. This Data Descriptor introduces the first data release of devCCNP including a total of 864 visits from 479 participants. Herein, we provided details of the experimental design, sampling strategies, and technical validation of the devCCNP resource. We demonstrate and discuss the potential of a multicohort longitudinal design to depict normative brain growth curves from the perspective of developmental population neuroscience. The devCCNP resource is shared as part of the "Chinese Data-sharing Warehouse for In-vivo Imaging Brain" in the Chinese Color Nest Project (CCNP) - Lifespan Brain-Mind Development Data Community (https://www.scidb.cn/en/c/ccnp) at the Science Data Bank. Design TypesO_LIAccelerated longitudinal design C_LIO_LIBrain-mind development C_LIO_LIPopulation imaging C_LIO_LIBrain chart C_LIO_LIRepeated measure C_LI MeasurementsO_LIPsychological behaviours C_LIO_LIBiophysical and physical measures C_LIO_LIIntelligence quotient measure C_LIO_LINeuroimaging C_LI Sample Characteristic - OrganismO_LIHomo sapiens C_LI Sample Characteristic - EnvironmentO_LISchool- and community-based sample C_LI Sample Characteristic - LocationO_LIChongqing and Beijing, China C_LI DurationO_LI10 years (2013-2022) C_LI

neuroscience↗

Single-shot 3D photoacoustic tomography using a single-element detector for ultrafast imaging of hemodynamics

Imaging hemodynamics is crucial for the diagnosis, treatment, and prevention of vascular diseases. However, current imaging techniques are limited due to the use of ionizing radiation or contrast agents, short penetration depth, or complex and expensive data acquisition systems. Photoacoustic tomography shows promise as a solution to these issues. However, existing photoacoustic tomography methods collect signals either sequentially or through numerous detector elements, leading to either low imaging speed or high system complexity and cost. To address these issues, here we introduce a method to capture a 3D photoacoustic image of vasculature using a single laser pulse and a single-element detector that functions as 6,400 virtual ones. Our method enables ultrafast volumetric imaging of hemodynamics in the human body at up to 1 kHz and requires only a single calibration for different objects and for long-term operations. We demonstrate 3D imaging of hemodynamics at depth in humans and small animals, capturing the variability in blood flow speeds. This concept can inspire other imaging technologies and find applications such as home-care monitoring, biometrics, point-of-care testing, and wearable monitoring.

bioengineering↗

MsPBRsP: Multi-scale Protein Binding Residues Prediction Using Language Model

Accurate prediction of protein binding residues (PBRs) from sequence is important for the understanding of cellular activity and helpful for the design of novel drug. However, experimental methods are time-consuming and expensive. In recent years, a lot of computational predictors based on machine learning and deep learning models are proposed to reduce such consumption. But those methods often use MSA tools such as PSI-BLAST or NetSurfP to generate some statistical features and enter them into predictive models as necessary supplementary input. The input generation process normally takes long time, and there is no standard to specify which and how many statistic results should be provided to a prediction model. In addition, prediction of PBRs relies on residue local context, but the most appropriate scale is undetermined. Most works pre-selected certain residue features as input and a scale size based on expertise for certain type of PBRs. In this study, we propose a general tool-free end-to-end framework that can be applied to all types of PBRs, Multi-scale Protein Binding Residues Prediction using language model (MsPBRsP). We adopt a pre-trained language model ProtTrans to save the large consumption caused by MSA tools, and use protein sequence alone as input to our model. To ease scale size uncertainty, we construct multi-size windows in attention layer and multi-size kernels in convolutional layer. We test our framework on various benchmark datasets including PBRs from protein-protein, protein-nucleotide, protein-small ligand, heterodimer, homodimer and antibody-antigen interactions. Compared with existing state-of-the-art methods, MsPBRsP achieves superior performance with less running time and higher prediction rates on every PBRs prediction task. Specifically, we boost F1 score by 27.1% and AUPRC score by 7.6% on NSP448 dataset and decrease running time from over 10 minutes to under 0.1s on average. The source code and datasets are available at https://github.com/biolushuai/MsPBRsP-for-multiple-PBRs-prediction.

bioinformatics↗

A non-canonical function of LDHB promotes SLC7A11-mediated glutathione metabolism and protects against glutaminolysis-dependent ferroptosis in KRAS-driven lung cancer

Ferroptosis, a form of non-apoptotic cell death program driven by excessive lipid peroxidation and an important mechanism of tumor suppression, is frequently dysregulated in cancer. However, the mechanisms underlying impaired ferroptosis in oncogene-specific tumors remain poorly understood. Here we report a non- canonical role of lactate dehydrogenase B (LDHB), whose main activity is the conversion of lactate to pyruvate, in protecting KRAS-mutated lung cancer from ferroptosis. Silencing of LDHB impairs intracellular glutathione (GSH) metabolism and drives the hypersensitivity of KRAS-mutant cells to ferroptosis inducers by inhibiting the SLC7A11/GSH/GPX4 axis, a central antioxidant system against lipid peroxidation and ferroptosis by catalyzing GSH synthesis and utilization. Mechanistically, LDHB promotes SLC7A11 expression and GSH biosynthesis, and inhibition of LDHB confers metabolic synthetic lethality with ferroptosis inducers due to increased glutaminolysis and production of reactive oxygen species (ROS) in mitochondria, ultimately triggering ferroptosis of KRAS-driven lung cancer cells. Consequently, combined inhibition of LDHB and SLC7A11 synergistically suppresses tumor growth in multiple KRAS-mutant lung cancer implants and in an autochthonous model of Kras-induced lung adenocarcinoma. Taken together, our results reveal a hitherto unrecognized mechanism of ferroptosis defense by glycolytic LDHB and suggest a new strategy for the treatment of KRAS-dependent lung cancer.

cancer biology↗

Hybridization mediated range expansion and climate change resilience in two conifers

Current global climate change is expected to affect biodiversity negatively at all scales leading to mass biodiversity loss. Many studies have shown that the distribution of allele frequencies across a species range is often influenced by specific genetic loci associated with local environmental variables. This association reflects local adaptation and allele changes at those loci could thereby contribute to the evolutionary response to climate change. However, predicting how species will adapt to climate change from this type of data alone remains challenging. In the present study, we combined exome capture sequences and environmental niche reconstruction, to test multiple methods for assessing local adaptation and climate resilience in two widely distributed conifers, Norway spruce and Siberian spruce. Both species are keystone species of the boreal forest and share a vast hybrid zone. We show that local adaptation in conifers can be detected through allele frequency variation, population-level ecological preferences, and historical niche movement. Moreover, we integrated genetic and ecological information into genetic offset predictive models to show that hybridization plays a central role in expanding the niche breadth of the two conifer species and may help both species to cope better with future changing climates. This joint genetic and ecological analysis also identified genetically isolated populations that are at risk under current climate change.

evolutionary biology↗