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Ever since the outbreak of COVID-19 disease in Wuhan, China, different variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been identified. Wastewater-based epidemiology (WBE), an approach that has been successfully applied in numerous case studies worldwide, offers a cost-effective and rapid way for monitoring trends of SARS-Cov-2 in the community level without selection bias. Despite being a gold-standard procedure, WBE is a challenging approach due to the sample instability and the moderate efficiency of SARS-CoV-2 concentration in wastewater. In the present study, we introduce Spike-Seq, a custom amplicon-based approach for the S gene sequencing of SARS-CoV-2 in wastewater samples, which enables not only the accurate identification of the existing Spike-related genetic markers, but also the estimation of their frequency in the investigated samples. The implementation of Spike-Seq involves the combination of nested PCR-based assays that efficiently amplify the entire nucleotide sequence of the S gene and next-generation sequencing, which enables the variant detection and the estimation of their frequency. In the framework of the current work, Spike-Seq was performed to investigate the mutational profile of SARS-CoV-2 in samples from the Wastewater Treatment Plant (WWTP) of Athens, Greece, which originated from multiple timepoints, ranging from March 2021 until July 2022. Our findings demonstrate that Spike-Seq efficiently detected major genetic markers of B.1.1.7 (Alpha), B.1.617.2 (Delta) as well as B.1.1.529 (Omicron) variants in wastewater samples and provided their frequency levels, showing similar variant distributions with the published clinical data from the National Public Health organization. The presented approach can prove to be a useful tool for the detection of SARS-CoV-2 in challenging wastewater samples and the identification of the existing genetic variants of S gene., Competing Interests: Declaration of competing interest Provisional patent applications entitled “Detection and mutational analysis of an RNA virus in an environmental sample” were filed by the National and Kapodistrian University of Athens, and the authors M.A., P.G.A., N.S.T. and A.S. on 11 February 2021 to the Hellenic Industrial Property Organization (case number 231-0004089064 and 2412-0004687111) and on 22 March 2021 to the Patent Cooperation Treaty (PCT application number PCT/EP2021/057316). All other authors declare no competing interests., (Copyright © 2023. Published by Elsevier B.V.)

Background: Phosphatase and tensin homolog, widely known as PTEN, is a major negative regulator of the PI3K/AKT/mTOR signaling pathway, involved in the regulation of a variety of important cellular processes, including cell proliferation, growth, survival, and metabolism. Since most of the molecules involved in this biological pathway have been described as key regulators in cancer, the study of the corresponding genes at several levels is crucial., Objective: Although previous studies have elucidated the physiological role of PTEN under normal conditions and its involvement in carcinogenesis and cancer progression, the transcriptional profile of PTEN has been poorly investigated., Methods: In this study, instead of conducting the "gold-standard" direct RNA sequencing that fails to detect less abundant novel mRNAs due to the decreased sequencing depth, we designed and implemented a multiplexed PTEN-targeted sequencing approach that combined both short- and long-read sequencing., Results: Our study has highlighted a broad spectrum of previously unknown PTEN mRNA transcripts and assessed their expression patterns in a wide range of human cancer and non-cancer cell lines, shedding light on the involvement of PTEN in cell cycle dysregulation and thus tumor development., Conclusion: The identification of the described novel PTEN splice variants could have significant implications for understanding PTEN regulation and function, and provide new insights into PTEN biology, opening new avenues for monitoring PTEN-related diseases, including cancer., Competing Interests: The authors declare no conflict of interest, financial or otherwise., (© 2023 Bentham Science Publishers.)

In October 2020, the chemistry Nobel Prize was awarded to Emmanuelle Charpentier and Jennifer A. Doudna for the discovery of a new promising genome-editing tool: the genetic scissors of CRISPR-Cas9. The identification of CRISPR arrays and the subsequent identification of cas genes, which together represent an adaptive immunological system that exists not only in bacteria but also in archaea, led to the development of diverse strategies used for precise DNA editing, providing new insights in basic research and in clinical practice. Due to their advantageous features, the CRISPR-Cas systems are already employed in several biological and medical research fields as the most suitable technique for genome engineering. In this review, we aim to describe the CRISPR-Cas systems that have been identified among prokaryotic organisms and engineered for genome manipulation studies. Furthermore, a comprehensive comparison between the innovative CRISPR-Cas methodology and the previously utilized ZFN and TALEN editing nucleases is also discussed. Ultimately, we highlight the contribution of CRISPR-Cas methodology in modern biomedicine and the current plethora of available applications for gene KO, repression and/or overexpression, as well as their potential implementation in therapeutical strategies that aim to improve patients' quality of life.

Breast Cancer Gene 1 (BRCA1) is a tumour suppressor protein that modulates multiple biological processes including genomic stability and DNA damage repair. Although the main BRCA1 protein is well characterized, further proteomics studies have already identified additional BRCA1 isoforms with lower molecular weights. However, the accurate nucleotide sequence determination of their corresponding mRNAs is still a barrier, mainly due to the increased mRNA length of BRCA1 (~5.5 kb) and the limitations of the already implemented sequencing approaches. In the present study, we designed and employed a multiplexed hybrid sequencing approach (Hybrid-seq), based on nanopore and semi-conductor sequencing, aiming to detect BRCA1 alternative transcripts in a panel of human cancer and non-cancerous cell lines. The implementation of the described Hybrid-seq approach led to the generation of highly accurate long sequencing reads that enabled the identification of a wide spectrum of BRCA1 splice variants ( BRCA1 sv.7 - sv.52), thus deciphering the transcriptional landscape of the human BRCA1 gene. In addition, demultiplexing of the sequencing data unveiled the expression profile and abundance of the described BRCA1 mRNAs in breast, ovarian, prostate, colorectal, lung and brain cancer as well as in non-cancerous human cell lines. Finally, in silico analysis supports that multiple detected mRNAs harbour open reading frames, being highly expected to encode putative protein isoforms with conserved domains, thus providing new insights into the complex roles of BRCA1 in genomic stability and DNA damage repair.

Deciphering cancer etiopathogenesis has proven to be an especially challenging task since the mechanisms that drive tumor development and progression are far from simple. An astonishing amount of research has revealed a wide spectrum of defects, including genomic abnormalities, epigenomic alterations, disturbance of gene transcription, as well as post-translational protein modifications, which cooperatively promote carcinogenesis. These findings suggest that the adoption of a multidimensional approach can provide a much more precise and comprehensive picture of the tumor landscape, hence serving as a powerful tool in cancer research and precision oncology. The introduction of next- and third-generation sequencing technologies paved the way for the decoding of genetic information and the elucidation of cancer-related cellular compounds and mechanisms. In the present review, we discuss the current and emerging applications of both generations of sequencing technologies, also referred to as massive parallel sequencing (MPS), in the fields of cancer genomics, transcriptomics and proteomics, as well as in the progressing realms of epi-omics. Finally, we provide a brief insight into the expanding scope of sequencing applications in personalized cancer medicine and pharmacogenomics.

Although next-generation sequencing (NGS) technology revolutionized sequencing, offering a tremendous sequencing capacity with groundbreaking depth and accuracy, it continues to demonstrate serious limitations. In the early 2010s, the introduction of a novel set of sequencing methodologies, presented by two platforms, Pacific Biosciences (PacBio) and Oxford Nanopore Sequencing (ONT), gave birth to third-generation sequencing (TGS). The innovative long-read technologies turn genome sequencing into an ease-of-handle procedure by greatly reducing the average time of library construction workflows and simplifying the process of de novo genome assembly due to the generation of long reads. Long sequencing reads produced by both TGS methodologies have already facilitated the decipherment of transcriptional profiling since they enable the identification of full-length transcripts without the need for assembly or the use of sophisticated bioinformatics tools. Long-read technologies have also provided new insights into the field of epitranscriptomics, by allowing the direct detection of RNA modifications on native RNA molecules. This review highlights the advantageous features of the newly introduced TGS technologies, discusses their limitations and provides an in-depth comparison regarding their scientific background and available protocols as well as their potential utility in research and clinical applications.

The complicity of human RAS proteins in cancer is a well-documented fact, both due to the mutational hyperactivation of these GTPases and the overexpression of the genes encoding these proteins. Thus, it can be easily assumed that the study of RAS genes at the transcriptional and post-transcriptional level is of the utmost importance. Although previous research has shed some light on the basic mechanisms by which GTPases are involved in tumorigenesis, limited information is known regarding the transcriptional profile of the genes encoding these proteins. The present study highlights for the first time the wide spectrum of the mRNAs generated by the three most significant RAS genes ( KRAS , NRAS and HRAS ), providing an in-depth analysis of the splicing events and exon/intron boundaries. The implementation of a versatile, targeted nanopore-sequencing approach led to the identification of 39 novel RAS mRNA transcript variants and to the elucidation of their expression profiles in a broad panel of human cell lines. Although the present work unveiled multiple hidden aspects of the RAS gene family, further study is required to unravel the biological function of all the novel alternative transcript variants, as well as the putative protein isoforms.

The human E74-like ETS transcription factor 3 (Elf-3) is an epithelium-specific member of the ETS family, all members of which are characterized by a highly conserved DNA-binding domain. Elf-3 plays a crucial role in epithelial cell differentiation by participating in morphogenesis and terminal differentiation of the murine small intestinal epithelium, and also acts as an indispensable regulator of mesenchymal to epithelial transition, underlying its significant involvement in development and in pathological states, such as cancer. Although previous research works have deciphered the functional role of Elf-3 in normal physiology as well as in tumorigenesis, the present study highlights for the first time the wide spectrum of ELF3 mRNAs that are transcribed, providing an in-depth analysis of splicing events and exon/intron boundaries in a broad panel of human cell lines. The implementation of a versatile targeted nanopore sequencing approach led to the identification of 25 novel ELF3 mRNA transcript variants ( ELF3 v.3-v.27) with new alternative splicing events, as well as two novel exons. Although the current study provides a qualitative transcriptional profile regarding ELF3 , further studies must be conducted, so the biological function of all novel alternative transcript variants as well as the putative protein isoforms are elucidated.

Colorectal cancer (CRC) is a highly heterogenous malignancy with an increased mortality rate. Aberrant splicing is a typical characteristic of CRC, and several studies support the prognostic value of particular transcripts in this malignancy. l-DOPA decarboxylase (DDC) and its derivative neurotransmitters play a multifaceted role in physiological and pathological states. Our recent data support the existence of 6 DDC novel exons. In this study, we investigated the existence of additional DDC novel exons and transcripts, and their potential value as biomarkers in CRC. Next-generation sequencing (NGS) in 55 human cell lines coupled with Sanger sequencing uncovered 3 additional DDC novel exons and 20 splice variants, 7 of which likely encode new protein isoforms. Eight of these transcripts were detected in CRC. An in-house qPCR assay was developed and performed in TNM II and III CRC samples for the quantification of transcripts bearing novel exons. Extensive biostatistical analysis uncovered the prognostic value of specific DDC novel exons for patients' disease-free and overall survival. The revised DDC exon structure, the putative protein isoforms with distinct functions, and the prognostic value of novel exons highlight the pivotal role of DDC in CRC progression, indicating its potential utility as a molecular biomarker in CRC.

Background: Protein-coding genes have been considered the functional part of the genome, although they represent only 2% of the genome. In contrast, more than 90% of the genome produces non-coding RNA (ncRNA), including antisense (AS) genes, a type of long non-coding genes (encoding transcripts > 200 nucleotides) located on the opposite strand of coding genes. Therefore, antisense RNA (asRNA) can be complementary to the counterpart sense RNA, supporting a regulatory role with potential pathogenic consequences, as their deregulation has been associated with cardiovascular disease, cancer, and diabetes. Results: We performed an in-depth review of AS genes in Ensembl and evaluated the expression of AS genes in human liver by third-generation RNA sequencing methods. Currently, 1656 AS genes overlapping with 1556 sense genes have been identified in the human genome. Coding genes with antisense counterparts were significantly larger and had higher transcriptional activity than genes without antisense counterparts. RNA nanopore sequencing of 15 human livers identified 185 transcripts (55 novel) from 150 known AS genes, and 1316 transcripts from 807 sense genes, with 111 sense-antisense pairs. Sense transcripts showed higher expression than antisense transcripts. Remarkably, RNA nanopore sequencing of human livers identified 146 transcripts (67 novel) corresponding to 118 possible novel AS genes. Conclusion: This study reveals the landscape of AS genes in the human genome and demonstrates the power of long-read RNA sequencing to identify novel transcripts and even novel AS genes, exploring the relationship between sense and AS gene expression as well. [ABSTRACT FROM AUTHOR]

Genomic structural variation (SV) refers to differences in gene sequences between individuals on a genomic scale. It is widely distributed in the genome, primarily in the form of insertions, deletions, duplications, inversions, and translocations. Due to its characterization by long segments and large coverage, SVs significantly impact the genetic characteristics and production performance of livestock, playing a crucial role in studying breed diversity, biological evolution, and disease correlation. Research on SVs contributes to an enhanced understanding of chromosome function and genetic characteristics and is important for understanding hereditary diseases mechanisms. In this article, we review the concept, classification, main formation mechanisms, detection methods, and advancement of research on SVs in the genomes of cattle, buffalo, equine, sheep, and goats, aiming to reveal the genetic basis of differences in phenotypic traits and adaptive genetic mechanisms through genomic research, which will provide a theoretical basis for better understanding and utilizing the genetic resources of herbivorous livestock. [ABSTRACT FROM AUTHOR]

Objectives: Purple blotch, caused by the necrotrophic pathogen Alternaria porri, is one of the most economically significant diseases of onion and allied crops. While the virulent nature of many Alternaria spp. has been identified, the pathogenic repertoire of A. porri is still unknown. The objective of this work was to sequence the genome of A. porri using the PacBio SMRT sequencing strategy and analyse the repertoire of CAZymes, secondary metabolites, secretome and effectors in A. porri. Our research group is working to identify onion germplasm with purple blotch resistance and to understand the genetics of the pathogen. The reported de-novo assembly will contribute to the analysis of potential variants and the gene repertoire contributing to the virulence and pathogenicity of the purple blotch pathogen. Data description: Long-read sequencing on a PacBio Sequel II system resulted in a 32.98 Mb (20 contigs) assembly with an N50 of 2, 657, 264 bp, the longest contig length of 5.05 Mb, and a GC content of 51.06%. The Benchmarking Universal Single-Copy Orthologs (BUSCO) analysis resulted in 99.7% genome completeness at the Dothideomycetes lineage, representing a high-quality genome assembly. AUGUSTUS ab initio analysis resulted in 9875 protein-coding genes. Of the 6776 pathogenicity-related genes, 537 genes with effector functions were identified. Likewise, the glycoside hydrolases (434) were the most dominant group of the total 837 predicted CAZymes. The assembled genome of A. porri showed distinctive similarities to the genomes of A. alternata and A. brassicicola, the causal agents of leaf blight of onion and leaf spot of Brassica crops, respectively. [ABSTRACT FROM AUTHOR]

Bronchiectasis is marked by bronchial dilatation, recurrent infections and significant morbidity, underpinned by a complex interplay between microbial dysbiosis and immune dysregulation. The identification of distinct endophenotypes have refined our understanding of its pathogenesis, including its heterogeneous disease mechanisms that influence treatment and prognosis responses. Next-generation sequencing (NGS) has revolutionised the way we view airway microbiology, allowing insights into the “unculturable”. Understanding the bronchiectasis microbiome through targeted amplicon sequencing and/or shotgun metagenomics has provided key information on the interplay of the microbiome and host immunity, a central feature of disease progression. The rapid increase in translational and clinical studies in bronchiectasis now provides scope for the application of precision medicine and a better understanding of the efficacy of interventions aimed at restoring microbial balance and/or modulating immune responses. Holistic integration of these insights is driving an evolving paradigm shift in our understanding of bronchiectasis, which includes the critical role of the microbiome and its unique interplay with clinical, inflammatory, immunological and metabolic factors. Here, we review the current state of infection and the microbiome in bronchiectasis and provide views on the future directions in this field. [ABSTRACT FROM AUTHOR]

The development of third-generation sequencing has accelerated the boom of single nucleotide polymorphism (SNP) calling methods, but evaluating accuracy remains challenging owing to the absence of the SNP gold standard. The definitions for without-gold-standard and performance metrics and their estimation are urgently needed. Additionally, the possible correlations between different SNP loci should also be further explored. To address these challenges, we first introduced the concept of a gold standard and imperfect gold standard under the consistency framework and gave the corresponding definitions of sensitivity and specificity. A latent class model (LCM) was established to estimate the sensitivity and specificity of callers. Furthermore, we incorporated different dependency structures into LCM to investigate their impact on sensitivity and specificity. The performance of LCM was illustrated by comparing the accuracy of BCFtools, DeepVariant, FreeBayes, and GATK on various datasets. Through estimations across multiple datasets, the results indicate that LCM is well-suitable for evaluating callers without the SNP gold standard, and accurate inclusion of the dependency between variations is crucial for better performance ranking. DeepVariant has a higher sum of sensitivity and specificity than other callers, followed by GATK and BCFtools. FreeBayes has low sensitivity but high specificity. Notably, appropriate sequencing coverage is another important factor for precise callers' evaluation. Most importantly, a web interface for assessing and comparing different callers was developed to simplify the evaluation process., Competing Interests: Declarations. Conflict of interest: The authors have no competing interests to declare relevant to this article’s content., (© 2024. International Association of Scientists in the Interdisciplinary Areas.)

Background and Objectives: Accurate human leucocyte antigen (HLA) and human platelet antigen (HPA) typing is essential for establishing a blood platelet donor bank to deal with refractoriness in patients undergoing multiple platelet transfusions. Current methods, such as Sanger and next-generation sequencing, encounter difficulties in haplotyping. Herein, the aim of this study was to establish a method for HLA and HPA typing based on the long read sequencing., Study Design and Methods: The HPA and HLA class I genotypes of 268 platelet donors from the Taiyuan Blood Center, China were identified using long-read sequencing on the PacBio platform. Allele frequencies for HPA systems and HLA class I genes were calculated, and genetic variability within HPA system genes was analysed., Results: Polymorphisms were identified in 8 of the 35 HPA systems (HPA-1 to HPA-6w, HPA-15 and HPA-21w), with the frequencies of the 'b' allele at 0.0187, 0.0709, 0.4086, 0.0075, 0.0149, 0.0317, 0.4310 and 0.0019, respectively. The alleles with the highest frequencies at the HLA-A, HLA-B and HLA-C loci are HLA-A02:01, B51:01, B46:01 and C06:02, respectively. Additionally, several genetic patterns in HPA systems were identified, including the c.166-1029C>T variant, which was found exclusively in samples carrying the HPA-1b allele., Conclusion: This study developed a targeted long-read sequencing method characterized by high throughput and simultaneity, capable of resolving allele ambiguities for effective HLA class I genotyping in establishing a platelet donor bank., (© 2024 International Society of Blood Transfusion.)

Brain tumors and genomics have a long-standing history given that glioblastoma was the first cancer studied by the cancer genome atlas. The numerous and continuous advances through the decades in sequencing technologies have aided in the advanced molecular characterization of brain tumors for diagnosis, prognosis, and treatment. Since the implementation of molecular biomarkers by the WHO CNS in 2016, the genomics of brain tumors has been integrated into diagnostic criteria. Long-read sequencing, also known as third generation sequencing, is an emerging technique that allows for the sequencing of longer DNA segments leading to improved detection of structural variants and epigenetics. These capabilities are opening a way for better characterization of brain tumors. Here, we present a comprehensive summary of the state of the art of third-generation sequencing in the application for brain tumor diagnosis, prognosis, and treatment. We discuss the advantages and potential new implementations of long-read sequencing into clinical paradigms for neurooncology patients. [ABSTRACT FROM AUTHOR]

Background: Molecular diagnostic technology is the foundation of precision medicine, which has the advantages of good specificity, high sensitivity, strong targeting, rapiddiagnosis, etc. It has a wide range of applications in the field of pediatrics. However, molecular diagnostic technology is characterized by complicated experimental operation, high difficulty in data analysis and interpretation, in consistent standards among laboratories, and difficult standardization of technical processes. Enhancing the application value of molecular diagnostic technology in pediatrics and promoting the high‐quality development of the discipline requires careful consideration by relevant management and professionals. Methods: This study firstly outlines the development history of molecular diagnostic technology. Then, it analyzes the application of molecular diagnostic technology in the field of pediatrics. Finally, it explores the countermeasures for the management of molecular diagnostic laboratories. Results: This study highlights the importance of molecular diagnostic technology in providing information and decision‐making basis for disease prevention, prediction,diagnosis, treatment and regression. It has a wide range of applications in the molecular diagnosis of pediatric hereditary diseases, malignant tumors and infectious diseases. In addition, the countermeasures for the management of molecular diagnostic laboratories are proposed from the five aspects of laboratory, personnel team construction, standardized management,multidisciplinary cross‐discipline, research and translation, safety managementand ethical supervision, and management upgrading and modernization. Conclusions: Molecular diagnostic technology, as the basis of precision medicine, has become one of the important frontier fields in the development of contemporary pediatric medicine. Enhanced laboratory capacity in molecular diagnostic techniques can improve outcomes in the prevention, prediction, diagnosis, treatment, prognosis and research of pediatricdiseases, and lay the groundwork for child healthcare. [ABSTRACT FROM AUTHOR]

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HLA typing serves as a standard practice in hematopoietic stem cell transplantation to ensure compatibility between donors and recipients, preventing the occurrence of allograft rejection and graft-versus-host disease. Conventional laboratory methods that have been widely employed in the past few years, including sequence-specific primer PCR and sequencing-based typing (SBT), currently face the risk of becoming obsolete. This risk stems not only from the extensive diversity within HLA genes but also from the rapid advancement of next-generation sequencing and third-generation sequencing technologies. Third-generation sequencing systems like single-molecule real-time (SMRT) sequencing and Oxford Nanopore (ONT) sequencing have the capability to analyze long-read sequences that span entire intronic-exonic regions of HLA genes, effectively addressing challenges related to HLA ambiguity and the phasing of multiple short-read fragments. The growing dominance of these advanced sequencers in HLA typing is expected to solidify further through ongoing refinements, cost reduction, and error rate minimization. This review focuses on hematopoietic stem cell transplantation (HSCT) and explores prospective advancements and application of HLA DNA typing techniques. It explores how the adoption of third-generation sequencing technologies can revolutionize the field by offering improved accuracy, reduced ambiguity, and enhanced assessment of compatibility in HSCT. Embracing these cutting-edge technologies is essential to advancing the success rates and outcomes of hematopoietic stem cell transplantation. This review underscores the importance of staying at the forefront of HLA typing techniques to ensure the best possible outcomes for patients undergoing HSCT. Highlights of the Study: This review delves into the progression of HLA typing techniques, from serology to high-resolution sequencing methods, and emphasizes the pivotal role of HLA compatibility in stem cell transplantation. We discuss resolution levels for precise HLA typing and highlight the transformative potential of PacBio and nanopore sequencing. Precise HLA typing revolutionizes transplantation, improving donor-recipient matching and reducing ambiguities. [ABSTRACT FROM AUTHOR]

Diabetes mellitus is a chronic disease affecting glucose metabolism. The pathophysiological reactions underpinning the disease can lead to the development of late diabetes complications. The gut microbiota plays important roles in weight regulation and the maintenance of a healthy digestive system. Obesity, diabetes mellitus, diabetic retinopathy, diabetic nephropathy and diabetic neuropathy are all associated with a microbial imbalance in the gut. Modern technical equipment and advanced diagnostic procedures, including xmolecular methods, are commonly used to detect both quantitative and qualitative changes in the gut microbiota. This review summarises collective knowledge on the role of the gut microbiota in both types of diabetes mellitus and their late complications, with a particular focus on diabetic foot syndrome. [ABSTRACT FROM AUTHOR]

Background: Spinal muscular atrophy (SMA) is a rare autosomal recessive hereditary neuromuscular disease caused by survival motor neuron 1 (SMN1) gene deletion or mutation. Homozygous deletions of exon 7 in SMN1 result in 95% of SMA cases, while the remaining 5% are caused by other pathogenic variants of SMN1. Methods: We analyzed two SMA-suspected cases that were collected, with no SMN1 gene deletion and point mutation in whole-exome sequencing. Exon 1 deletion of the SMN gene was detected using Multiplex ligation-dependent probe amplification (MLPA) P021. We used long-range polymerase chain reaction (PCR) to isolate the SMN1 template, optimized-MLPA P021 for copy number variation (CNV) analysis within SMN1 only, and validated the findings via third-generation sequencing. Results: Two unrelated families shared a genotype with one copy of exon 7 and a novel variant, g.70919941_70927324del, in isolated exon 1 of the SMN1 gene. Case F1-II.1 demonstrated no exon 1 but retained other exons, whereas F2-II.1 had an exon 1 deletion in a single SMN1 gene. The read coverage in the third-generation sequencing results of both F1-II.1 and F2-II.1 revealed a deletion of approximately 7.3 kb in the 5' region of SMN1. The first nucleotide in the sequence data aligned to the 7385 bp of NG_008691.1. Conclusion: Remarkably, two proband families demonstrated identical SMN1 exon 1 breakpoint sites, hinting at a potential novel mutation hotspot in Chinese SMA, expanding the variation spectrum of the SMN1 gene and corroborating the specificity of isolated exon 1 deletion in SMA pathogenesis. The optimized-MLPA P021 determined a novel variant (g.70919941_70927324del) in isolated exon 1 of the SMN1 gene based on long-range PCR, enabling efficient and affordable detection of SMN gene variations in patients with SMA, providing new insight into SMA diagnosis to SMN1 deficiency and an optimized workflow for single exon CNV testing of the SMN gene. [ABSTRACT FROM AUTHOR]

Background and Objectives: The presence of blood subtypes may lead to difficulties in blood group identification; however, third‐generation sequencing (TGS) can help in accurately identifying difficult blood groups, and study the serological characteristics and molecular mechanism of Ael subtypes. Materials and Methods: ABO blood group was identified by the standard serological technique, weak blood group antigen was identified by adsorption‐elution experiments, ABH substance in the saliva was determined and glycosyltransferase activity of A and B was detected. The ABO gene full‐length sequence and promoter region were amplified by specific primers using single‐molecule real‐time sequencing, with the amplified products being sequenced directly and analysed in real time. Results: The patient was serologically identified as Ael subtype, and TGS analysis revealed new intron mutations in Ael patients (c.467C>T; c.29‐10T>A). Conclusion: The discovery of the new allele and the identification of ABO subtypes can be combined with serological characterization and molecular biological methods. [ABSTRACT FROM AUTHOR]

CRISPR/Cas9 system has been successfully implemented in animals and plants is a second-generation genome editing tool. We are able to optimize a Cas9 system to edited Ntab06050 and Ntab0857410 genes in HD and K326 tobacco cultivars respectively. The gene Ntab06050 is related to lignin synthesis while the gene Ntab0857410 belongs to pectin synthesis by utilizing Agrobacterium-mediated leaf disc method. We have constructed total eight different constructs for the lignin related gene family CCoAMT, out of which three constructs have been selected from Ntab0184090, two constructs from Ntab0392460 while one construct from each Ntab0540120, Ntab0857410 and Ntab0135940 gene. To study the Cas9 system in pectin related genes, total five constructs have been utilized under Cas9 system and multiple target sites were selected by identifying PAM sequences. Out of which three constructs were targeted from NtabGAE1and NtabGAE6 homologous while two were targeted from NtabGAUT4 homologous. Where as, UDP-D-glucuronate 4-epimerase gene family is a Golgi localized, might have a role in the interconvertion of UDP-D-GlcA and UDP-D-GalA in pectin synthesis. We have succeeded in the mutation of pectin related NtabGAUT4 and lignin related NtabCCoAMT genes with 6.2% and 9.4% mutation frequency., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Avena fatua L. (wild oat) is one of the most harmful gramineous weeds that can affect the yield and quality of infiltrating crops. Bacillus altitudinis D30202 exhibits an excellent biocontrol activity against wild oat. To elucidate the biocontrol mechanisms of B. altitudinis D30202, the genome structure of this strain was assessed via whole-genome sequencing analysis. We predicted and analyzed secondary metabolite synthesis gene clusters to elucidate the mechanisms underlying the biocontrol of weeds. The whole-genome sequencing data indicated that B. altitudinis D30202 had the genome size and GC content of 3,777,154 bp and 41.32%, respectively, and 3809 coding genes were identified. Moreover, this strain could generate several compounds with bioherbicidal activity, including 4-hydroxy-3-methoxycinnamic acid and two indole derivatives. Bioinformatics prediction and comparative genomic analysis revealed that the strain had 6 secondary metabolite gene clusters. Furthermore, the taxonomic position of B. altitudinis D30202 was assessed, confirming its uniqueness and novelty within the Bacillus genus. Comparative genomic analysis showed differences in gene distribution, suggesting potential adaptations to different environments. In conclusion, B. altitudinis D30202 possesses a genome with unique characteristics, encoding enzymes and pathways related to herbicidal potential and biocontrol. This study provides a reference basis for understanding the molecular mechanisms of weed inhibition. [ABSTRACT FROM AUTHOR]

Precision medicine based on the driver genes mutation status is the current systemic therapeutic paradigm in patients with lung cancer. Next-generation sequencing (NGS) has emerged as a powerful platform for molecular diagnosis by virtue of high-throughput and massively parallel sequencing. Liquid biopsy also enabled the dynamic monitoring and comprehensive profiling of lung cancer in a noninvasive manner. However, challenges remain in the field of technology and clinical applications, especially in the era of immunotherapy. Here, we update the role of NGS in the context of lung cancer screening, molecular diagnosis, predictive and prognostic biomarkers, and guiding personalized treatment. The NGS application for actable genomic alternation has greatly changed the therapeutic landscape in patients with lung cancer including perioperative setting and advanced stage. Meanwhile, emerging evidence has shown the potential of other applications such as early screening and detection, and MRD. However, challenges remain such as the lack of standardized protocols across different platforms and bioinformatics analysis pipelines, and the complexity of interpreting and leveraging numerous genomic mutation messages for therapy selection. Future research is needed to overcome these challenges and expand the applications of NGS to other aspects such as immunotherapy. [ABSTRACT FROM AUTHOR]

This article provides an overview of emerging trends in clinical cancer genomic research, with a specific focus on gastric cancer. It discusses four key trends in gastric cancer research, including the shift towards a reference pangenome-based methodology, cross-race studies, microenvironment-combined research, and the use of third-generation sequencing with long reads. The article also presents findings from studies on genetic variations in gastric cancer, the impact of patient ethnicity on gene mutations, and the role of the tumor microenvironment in peritoneal metastasis. These trends and findings offer valuable insights for genetic intervention treatment and clinical medication. The article also explores the use of omental neutrophils and peritoneal resident macrophages in promoting peritoneal metastasis and suggests blocking Tim-4 as a potential treatment strategy. It further discusses the use of The Cancer Genome Atlas (TCGA) database to identify mutated genes associated with vascular metastasis in gastric cancer, as well as the use of genomic sequencing techniques for disease diagnosis and the detection of structural variants. The article concludes by acknowledging the limitations and challenges of these technologies in clinical use. [Extracted from the article]

Background: Ulcerative colitis is one of the two main forms of inflammatory bowel disease. Cuproptosis is reported to be a novel mode of cell death. Methods: We examined clusters of cuproptosis related genes and immune cell infiltration molecules in 86 ulcerative colitis samples from the GSE179285 dataset. We identified the differentially expressed genes according to the clustering method, and the performance of the SVM model, the random forest model, the generalized linear model, and the limit gradient enhancement model were compared, and then the optimal machine model was selected. To assess the accuracy of the learning predictions, the nomogram and the calibration curve and decision curve analyses showed that the subtypes of ulcerative colitis have been accurately predicted. Results: Significant cuproptosis-related genes and immune response cells were detected between the ulcerative colitis and control groups. Two cuproptosis-associated molecular clusters were identified. Immune infiltration analysis indicated that different clusters exhibited significant heterogeneity. The immune scores for Cluster2 were elevated. Both the residual error and root mean square error of the random forest machine model had clinical significance. There was a clear correlation between the differentially expressed genes in cluster 2 and the response of immune cells. The nomogram and the calibration curve and decision curve analyses showed that the subtypes of ulcerative colitis had sufficient accuracy. Conclusion: We examined the complex relationship between cuproptosis and ulcerative colitis in a systematic manner. To estimate the likelihood that each subtype of cuproptosis will occur in ulcerative colitis patients and their disease outcome, we developed a promising prediction model. [ABSTRACT FROM AUTHOR]

Marine sediments are one of the largest habitats on Earth, and their unique ecology, such as high salinity, high pressure, and hypoxia, may activate certain silent genes in marine microbes, resulting in microbes, enzymes, active products, and specific metabolic pathways that can adapt to these specific ecological environments. Marine sediment-derived microorganisms and their bioactive metabolites are of great significance and have potential commercial development prospects for food, pharmaceutical, chemical industries, agriculture, environmental protection and human nutrition and health. In recent years, although there have been numerous scientific reports surrounding marine sediment-derived microorganisms and their bioactive metabolites, a comprehensive review of their research progress is lacking. This paper presents the development and renewal of traditional culture-dependent and omics analysis techniques and their application to the screening of marine sediment-derived microorganisms producing bioactive substances. It also highlights recent research advances in the last five years surrounding the types, functional properties and potential applications of bioactive metabolites produced by marine sediment-derived microorganisms. These bioactive metabolites mainly include antibiotics, enzymes, enzyme inhibitors, sugars, proteins, peptides, and some other small molecule metabolites. In addition, the review ends with concluding remarks on the challenges and future directions for marine sediment-derived microorganisms and their bioactive metabolites. The review report not only helps to deepen the understanding of marine sediment-derived microorganisms and their bioactive metabolites, but also provides some useful information for the exploitation and utilization of marine microbial resources and the mining of new compounds with potential functional properties. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to examine longitudinal associations of workplace effort and reward with changes in cognitive function among United States workers., Methods: Data from the national, population-based Midlife in the United States (MIDUS) study with a 9-year follow-up were used. Validated workplace effort and reward scales were measured at baseline, and cognitive outcomes (including composite cognition, episodic memory, and executive functioning) were measured with the Brief Test of Adult Cognition by Telephone (BTACT) at baseline and follow-up. Multivariable linear regression analyses based on generalized estimating equations (GEE) examined the longitudinal associations under study., Results: Among this worker sample of 1,399, after accounting for demographics, socioeconomics, lifestyle behaviors, health conditions, and job control, high reward at baseline was associated with increased composite cognition (regression coefficient: 0.118 [95% CI: 0.049, 0.187]), episodic memory (0.106 [0.024, 0.188]), and executive functioning (0.123 [0.055, 0.191]) during follow-up. The joint exposure of 'high effort and high reward' was also associated with increased composite cognition (0.130 [0.030, 0.231]), episodic memory (0.131 [0.012, 0.250]), and executive functioning (0.117 [0.017, 0.216]), while the combination of 'low effort and high reward' was associated with increased composite cognition (0.106 [0.009, 0.204]) and executive functioning (0.139 [0.042, 0.235])., Conclusion: Findings suggest that workplace high reward is related to improved cognitive scores among United States workers. Future research should investigate larger cohorts over longer timespans and expand into disease outcomes such as dementia. If these findings emerge as causal, relevant workplace rewards to promote worker cognitive health should be considered., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Artificial intelligence (AI) platforms have emerged as pivotal tools in genetics and molecular medicine, as in many other fields. The growth in patient data, identification of new diseases and phenotypes, discovery of new intracellular pathways, availability of greater sets of omics data, and the need to continuously analyse them have led to the development of new AI platforms. AI continues to weave its way into the fabric of genetics with the potential to unlock new discoveries and enhance patient care. This technology is setting the stage for breakthroughs across various domains, including dysmorphology, rare hereditary diseases, cancers, clinical microbiomics, the investigation of zoonotic diseases, omics studies in all medical disciplines. AI's role in facilitating a deeper understanding of these areas heralds a new era of personalised medicine, where treatments and diagnoses are tailored to the individual's molecular features, offering a more precise approach to combating genetic or acquired disorders. The significance of these AI platforms is growing as they assist healthcare professionals in the diagnostic and treatment processes, marking a pivotal shift towards more informed, efficient, and effective medical practice. In this review, we will explore the range of AI tools available and show how they have become vital in various sectors of genomic research supporting clinical decisions., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Colon cancer is one of the leading causes of cancer in the United States. Colon cancer develops from the many gene mutations found in the genomes of colon cancer cells. Long non-coding RNAs (lncRNAs) can cause the development and progression of many cancers, including colon cancer. LncRNAs have been and could be corrected through the gene-editing technology of the clustered repeats of the clustered regularly interspaced short palindromic repeats (CRISPR)-associated nuclease 9 (CRISPR/Cas9) system to reduce the proliferation of cancer cells in the colon. However, many current delivery systems for transporting CRISPR/Cas9-based therapeutics in vivo need more safety and efficiency. CRISPR/Cas9-based therapeutics require a safe and effective delivery system to more directly and specifically target cancer cells present in the colon. This review will present pertinent evidence for the increased efficiency and safety of using plant-derived exosome-like nanoparticles as nanocarriers for delivering CRISPR/Cas9-based therapeutics to target colon cancer cells directly. [ABSTRACT FROM AUTHOR]

With the advent of rapid automated in silico identification of biosynthetic gene clusters (BGCs), genomics presents vast opportunities to accelerate natural product (NP) discovery. However, prolific NP producers, Streptomyces, are exceptionally GC-rich (>80%) and highly repetitive within BGCs. These pose challenges in sequencing and high-quality genome assembly which are currently circumvented via intensive sequencing. Here, we outline a more cost-effective workflow using multiplex Illumina and Oxford Nanopore sequencing with hybrid long-short read assembly algorithms to generate high quality genomes. Our protocol involves subjecting long read-derived assemblies to up to 4 rounds of polishing with short reads to yield accurate BGC predictions. We successfully sequenced and assembled 8 GC-rich Streptomyces genomes whose lengths range from 7.1 to 12.1 Mb with a median N50 of 8.2 Mb. Taxonomic analysis revealed previous misrepresentation among these strains and allowed us to propose a potentially new species, Streptomyces sydneybrenneri. Further comprehensive characterization of their biosynthetic, pan-genomic and antibiotic resistance features especially for molecules derived from type I polyketide synthase (PKS) BGCs reflected their potential as alternative NP hosts. Thus, the genome assemblies and insights presented here are envisioned to serve as gateway for the scientific community to expand their avenues in NP discovery. [ABSTRACT FROM AUTHOR]

The timing of ice ages over the past ∼2,600 thousand years (kyr) follows pacing by cyclical changes in three aspects of Earth's orbit that influence the solar energy received as a function of latitude and season. Explaining the large magnitude of the climate changes is challenging, particularly so across the period of time from ∼1,250 to 750 ka—the Mid-Pleistocene Transition or MPT. The average repeat time of ice age cycles changed from an earlier 41-kyr rhythm to longer and more intense glaciations at a spacing of about 100 kyr. Explaining this change is very difficult because there was no corresponding change in the orbital pacing that would trigger a change in timing. While the first generation of hypotheses looked largely to changes in the behavior of Northern Hemisphere ice sheets, more recent work integrates ice behavior with new data capturing the evolution of other important aspects of past climate. A full explanation is still lacking, but attention increasingly focuses on the ocean carbon cycle and atmospheric CO2 levels as the crucial agents involved in the MPT. The pattern of climate changes connected to the ice ages of the past few million years changed radically between about 1,250 and 750 thousand years ago, a time known as the Mid-Pleistocene Transition or MPT. While the glacial cycles were ultimately triggered by cyclical changes in Earth's orbit, the changes across the MPT came from changes in the Earth system itself, most likely in the form of a change in the carbon cycle. The dramatic change in many essential aspects of climate—ice volume, temperature, rainfall on land, and many others—in the absence of an external change suggests how important feedbacks are to the climate system. [ABSTRACT FROM AUTHOR]

The capture of metagenomic DNA in large clone libraries provides the opportunity to study microbial diversity that is inaccessible using culture-dependent methods. In this study, we harnessed nuclease-deficient Cas9 to establish a CRISPR counter-selection interruption circuit (CCIC) that can be used to retrieve target clones from complex libraries. Combining modern sequencing methods with CCIC cloning allows for rapid physical access to the genetic diversity present in natural ecosystems. A CRISPRi method retrieves sequences of interest from large metagenomic libraries. [ABSTRACT FROM AUTHOR]

Background: The filaggrin (FLG) protein, encoded by the FLG gene, is an intermediate filament-associated protein that plays a crucial role in the terminal stages of human epidermal differentiation. Loss-of-function mutations in the FLG exon 3 have been associated with skin diseases. The identification of causative mutations is challenging, due to the high sequence homology within its exon 3 (12,753 bp), which includes 10 to 12 filaggrin tandem repeats. With this study we aimed to obtain the whole FLG exon 3 sequence through PacBio technology, once 13-kb amplicons have been generated. Methods and results: For the preparation of SMRTbell libraries to be sequenced using PacBio technology, we focused on optimizing a 2-step long-range PCR protocol to generate 13-kb amplicons covering the whole FLG exon 3 sequence. The performance of three long-range DNA polymerases was assessed in an attempt to improve the PCR conditions required for the enzymes to function properly. We focused on optimization of the input template DNA concentration and thermocycling parameters to correctly amplify the entire FLG exon 3 sequence, minimizing non-specific amplification. Conclusions: Taken together, our findings suggested that the PrimeSTAR protocol is suitable for producing the amplicons of the 13-kb FLG whole exon 3 to prepare SMRTbell libraries. We suggest that sequencing the generated amplicons may be useful for identifying LoF variants that are causative of the patients' disorders. [ABSTRACT FROM AUTHOR]

ETV4, one of ETS proteins overexpressed in prostate cancer, promotes migration, invasion, and proliferation in prostate cells. This study identifies a series of previously unknown ETV4 alternatively spliced transcripts in human prostate cell lines. Their expression has been validated using several unbiased techniques, including Nanopore sequencing. Most of these transcripts originate from an in-frame exon skipping and, thus, are expected to be translated into ETV4 protein isoforms. Functional analysis of the most abundant among these isoforms shows that they still bear an activity, namely a reduced ability to promote proliferation and a residual ability to regulate the transcription of ETV4 target genes. Alternatively spliced genes are common in cancer cells: an analysis of the TCGA dataset confirms the abundance of these novel ETV4 transcripts in prostate tumors, in contrast to peritumoral tissues. Since none of their translated isoforms have acquired a higher oncogenic potential, such abundance is likely to reflect the tumor deranged splicing machinery. However, it is also possible that their interaction with the canonical variants may contribute to the biology and the clinics of prostate cancer. Further investigations are needed to elucidate the biological role of these ETV4 transcripts and of their putative isoforms. [ABSTRACT FROM AUTHOR]

Background: Apicomplexa consist of numerous pathogenic parasitic protistan genera that invade host cells and reside and replicate within the parasitophorous vacuole (PV). Through this interface, the parasite exchanges nutrients and affects transport and immune modulation. During the intracellular life-cycle, the specialized secretory organelles of the parasite secrete an array of proteins, among which dense granule proteins (GRAs) play a major role in the modification of the PV. Despite this important role of GRAs, a large number of potential GRAs remain unidentified in Apicomplexa. Methods: A multi-view attention graph convolutional network (MVA-GCN) prediction model with multiple features was constructed using a combination of machine learning and genomic datasets, and the prediction was performed on selected Neospora caninum protein data. The candidate GRAs were verified by a CRISPR/Cas9 gene editing system, and the complete NcGRA64(a,b) gene knockout strain was constructed and the phenotypes of the mutant were analyzed. Results: The MVA-GCN prediction model was used to screen N. caninum candidate GRAs, and two novel GRAs (NcGRA64a and NcGRA64b) were verified by gene endogenous tagging. Knockout of complete genes of NcGRA64(a,b) in N. caninum did not affect the parasite's growth and replication in vitro and virulence in vivo. Conclusions: Our study showcases the utility of the MVA-GCN deep learning model for mining Apicomplexa GRAs in genomic datasets, and the prediction model also has certain potential in mining other functional proteins of apicomplexan parasites. [ABSTRACT FROM AUTHOR]

The gene products of the HLA/MHC and KIR multigene families are important modulators of the immune system and are associated with health and disease. Characterization of the genes encoding these receptors has been integrated into different biomedical applications, including transplantation and reproduction biology, immune therapies and in fundamental research into disease susceptibility or resistance. Conventional short‐read sequencing strategies have shown their value in high throughput typing, but are insufficient to uncover the entire complexity of the highly polymorphic HLA/MHC and KIR gene systems. The implementation of single‐molecule and real‐time sequencing platforms, offered by Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT), revolutionized the fields of genomics and transcriptomics. Using fundamentally distinct principles, these platforms generate long‐read data that can unwire the plasticity of the HLA/MHC and KIR genes, including high‐resolution characterization of genes, alleles, phased haplotypes, transcription levels and epigenetics modification patterns. These insights might have profound clinical relevance, such as improved matching of donors and patients in clinical transplantation, but could also lift disease association studies to a higher level. Even more, a comprehensive characterization may refine animal models in preclinical studies. In this review, the different HLA/MHC and KIR characterization approaches using PacBio and ONT platforms are described and discussed. [ABSTRACT FROM AUTHOR]

Next-generation sequencing (NGS) is a highly effective genetic diagnostic test used in disease diagnosis. Although the Sanger method is used as the traditional method in genome studies, the use of NGS methods has been increasing with the development of technology. The foundation of next-generation sequencing was laid with the methods developed by Allan Maxam--Walter Gilbert and 2 Nobel laureates, Frederick Sanger. Initially, first-generation sequencing methods completed a certain part of the DNA with great efforts in a few days, while in today's technology, the entire DNA of even the most complex organisms is sequenced in 1 day. Second- and third-generation sequencing methods have been developed with improvements in cost, time, and accuracy of sequencing. The data obtained from these methods are interpreted with bioinformatics and contributed to the development of next-generation sequencing technology. These developments have increased the interest in studies on the relationship between next-generation sequencing and DNA or RNA depending on diseases. In this review, past and present methods of next-generation sequencing technologies are mentioned in detail and the difficulties and conveniences of these methods are reviewed. [ABSTRACT FROM AUTHOR]

Background: Structural variants (SVs) play important roles in adaptation evolution and species diversification. Especially, in plants, many phenotypes of response to the environment were found to be associated with SVs. Despite the prevalence and significance of SVs, long insertions remain poorly detected and studied in all but model species. Results: We used whole-genome resequencing of paired reads from 80 Asian butternuts to detect long insertions and further analyse their characteristics and potential functional effects. By combining of mapping-based and de novo assembly-based methods, we obtained a multiple related species pangenome representing higher taxonomic groups. We obtained 89,312 distinct contigs totaling 147,773,999 base pair (bp) of new sequences, of which 347 were putative long insertions placed in the reference genome. Most of the putative long insertions appeared in multiple species; in contrast, only 62 putative long insertions appeared in one species, which may be involved in the response to the environment. 65 putative long insertions fell into 61 distinct protein-coding genes involved in plant development, and 105 putative long insertions fell into upstream of 106 distinct protein-coding genes involved in cellular respiration. 3,367 genes were annotated in 2,606 contigs. We propose PLAINS (https://github.com/CMB-BNU/PLAINS.git), a streamlined, comprehensive pipeline for the prediction and analysis of long insertions using whole-genome resequencing. Conclusions: Our study lays down an important foundation for further whole-genome long insertion studies, allowing the investigation of their effects by experiments. [ABSTRACT FROM AUTHOR]

The role of the tropical Pacific Ocean and its linkages to the southern hemisphere during the last deglacial warming remain highly controversial. Here we explore the evolution of Pacific horizontal and vertical thermal gradients over the past 30 kyr by compiling 340 sea surface and 7 subsurface temperature records, as well as one new ocean heat content record. Our records reveal that La Niña-like conditions dominated during the deglaciation as a result of the more intense warming in the western Pacific warm pool. Both the subsurface temperature and ocean heat content in the warm pool rose earlier than the sea surface temperature, and in phase with South Pacific subsurface temperature and orbital precession, implying that heat exchange between the tropical upper water column and the extratropical Southern Ocean facilitated faster warming in the western Pacific. Our study underscores the key role of the thermal coupling between the warm pool and the Southern Ocean and its relevance for future global warming. The mechanism of the last deglacial global warming is key for future climate. Here, the authors shed light on the pivotal role of the thermal coupling between the western Pacific warm pool and the Southern Ocean. [ABSTRACT FROM AUTHOR]

The Subantarctic Southern Ocean has long been thought to be an important contributor to increases in atmospheric carbon dioxide partial pressure (pCO2) during glacial-interglacial transitions. Extensive studies suggest that a weakened biological pump, a process associated with nutrient utilization efficiency, drove up surface-water pCO2 in this region during deglaciations. By contrast, regional influences of the solubility pump, a process mainly linked to temperature variations, have been largely overlooked. Here, we evaluate relative roles of the biological and solubility pumps in determining surface-water pCO2 variabilities in the Subantarctic Southern Ocean during the last deglaciation, based on paired reconstructions of surface-water pCO2, temperature, and nutrient utilization efficiency. We show that compared to the biological pump, the solubility pump imposed a strong impact on deglacial Subantarctic surface-water pCO2 variabilities. Our findings therefore reveal a previously underappreciated role of the solubility pump in modulating deglacial Subantarctic CO2 release and possibly past atmospheric pCO2 fluctuations. Using paired reconstructions of seawater pCO2, temperature, and nutrient utilization, Dai et al. show underappreciated influences of the solubility pump on deglacial Subantarctic surface-water pCO2 variabilities compared to the biological pump. [ABSTRACT FROM AUTHOR]