Risk of gastric cancer in autoimmune gastritis and pernicious anaemia: Insights from Mendelian randomization and multi‐omics analysis by Shengan Zhang, Ziqi Zhang, Liang Dai, Wenjun Zhou, Yanqi Dang, Wendong Huang, Guang Ji

“…Methods Two‐sample Mendelian randomization (MR) analysis using inverse variance weighted method was conducted to reveal the causal relationship between pernicious anaemia and GC. …”
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Genetic Diversity and Population Structure of Amphidromous Goby (Stiphodon semoni) in Western Part of Southern Java Waters by Ahmad Romdon, Charles P. H. Simanjuntak, Sulistiono, Augy Syahailatua

“…Furthermore, the result of the analysis of molecular variance was a Fst value of 0.0630 with a p-value of 0.22. …”
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An in-depth characterization of the major psoriasis susceptibility locus identifies candidate susceptibility alleles within an HLA-C enhancer element. by Alex Clop, Anna Bertoni, Sarah L Spain, Michael A Simpson, Venu Pullabhatla, Raul Tonda, Christian Hundhausen, Paola Di Meglio, Pieter De Jong, Adrian C Hayday, Frank O Nestle, Jonathan N Barker, Robert J A Bell, Francesca Capon, Richard C Trembath

“…Although genome-wide association scans (GWAS) have identified 36 disease susceptibility regions, more than 50% of the genetic variance can be attributed to a single Major Histocompatibility Complex (MHC) locus, known as PSORS1. …”
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The relationship between smoking and recurrent aphthous stomatitis: A Mendelian randomization study by Yujiao Hu, Cheng Chen, Fei Yu, Jin Zhang, Hui Zeng

“…The primary analytical methods utilized were inverse variance weighting (IVW) and weighted median (WM), supplemented by MR-Egger, simple mode, and weighted mode techniques to infer causality between smoking and RAS. …”
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Dissecting the role of gut microbiota heterogeneity in the onset of chronic lung diseases by Ya Lin, Xiaoxiao Zhang, Ziyi Zuo, Yijia Xiao

“…GM served as exposure, and CLDs were taken for outcomes. Inverse variance weighted, MR-Egger, and weighted median methods were utilized to examine the causal association between GM and CLDs. …”
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Gene mapping and identification of candidate genes controlling carotenoid accumulation of yellow kernels in foxtail millet by Junjie Wang, Qi Ma, Yuyang Zhang, Qian Duan, Xiaoxi Zhen, Yaoyuan Zhang, Hongying Li, Yuanhuai Han, Bin Zhang

“…Herein, the molecular mechanisms governing carotenoid accumulation in the kernel of foxtail millet were investigated by an exhaustive methodology encompassing Genome-Wide Association Study (GWAS), Bulk Segregant Analysis sequencing (BSA-seq), and integrated transcriptomic and metabolomic analyses. …”
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<i>Wolbachia</i> Infection Alters the Microbiota of the Invasive Leaf-Miner <i>Liriomyza huidobrensis</i> (Diptera: Agromyzidae) by Ya-Xin Duan, Ying-Hua Zhuang, Yu-Xin Wu, Tian-Wei Huang, Zhang-Rong Song, Yu-Zhou Du, Yu-Xi Zhu

“…In the study presented herein, we investigated the bacterial communities of <i>Wolbachia</i> wLhui-infected (wLhui+) and -uninfected lines (wLhui−) of <i>L. huidorbrensis</i> using 16S rRNA gene high-throughput sequencing. For both leaf-miner lines, Bacteroidota was the dominant phylum (relative abundance: 59.18%), followed by Pseudomonadota (36.63%), Actinomycetota (2.42%), and Bacillota (0.93%). …”
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Identification and mapping of QTLs and their corresponding candidate genes controlling high night‐time temperature stress tolerance in wheat (Triticum aestivum L.) by Kaviraj S. Kahlon, Kanwardeep S. Rawale, Sachin Kumar, Kulvinder S. Gill

“…The HNT treatment negatively impacted all agronomic traits under evaluation, with a percentage reduction of 0.5%–35% for the tolerant parent, 8%–75% for the susceptible parent, and 8%–50% for the DH population. Performed using sequencing‐based genotyping, quantitative trait locus (QTL) mapping identified 19 QTLs on 13 wheat chromosomes explaining 9.72%–28.81% of cumulative phenotypic variance for HNT stress tolerance, along with 13 that were for traits under normal growing conditions. …”
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Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT‐Based Radiomic Features in Non‐Small Cell Lung Cancer by Shrey S. Sukhadia, Christoph Sadée, Olivier Gevaert, Shivashankar H. Nagaraj

“…Results Our ML‐based radiogenomic modeling identified specific imaging features—wavelet, three‐dimensional local binary patterns, and logarithmic sigma of gray‐level variance—as predictive indicators for high (1) vs. low (0) gene expression of pivotal NSCLC‐related genes: SLC35C1, BCL2L1, and MAPK1. …”
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Altitudinal Variation in Soil Fungal Community Associated with Alpine <i>Potentilla fruticosa</i> Shrublands in the Eastern Qinghai–Tibet Plateau by Lele Xie, Yushou Ma, Yanlong Wang, Yuan Ma, Yu Liu

“…In this study, soil samples were collected from <i>Potentilla fruticosa</i> shrubs at different altitudes, and their physical and chemical properties were determined. Illumina MiSeq sequencing technology was used to study the characteristics of soil fungal communities at different altitudes (3400, 3700, 4000, and 4300 m), and the driving factors affecting the composition of soil fungal communities were found through variance analysis and redundancy analysis. …”
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Time-frequency feature calculation of multi-stage audiovisual neural processing via electroencephalogram microstates by Yang Xi, Lu Zhang, Cunzhen Li, Xiaopeng Lv, Zhu Lan

“…These features were then used to classify processing states with multiple machine learning models.ResultsDistinct, temporally continuous microstate sequences were identified characterizing attended versus unattended AV processing. …”
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Statistical Distributions of Genome Assemblies Reveal Random Effects in Ancient Viral DNA Reconstructions by Fernando Antoneli, Cristina M. Peter, Marcelo R. S. Briones

“…The spurious alignments of reads to reference sequences (mapping) are a main source of false positives in aDNA assemblies and the assessment of signal-to-noise ratios is essential to differentiate bona fide reconstructions from random, noisy assemblies. …”
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Screening and validation of key microRNAs regulating muscle development in Hanper sheep. by Yunxia Zhi, Boxin Hu, Shujun Tian, Ying Bai, Xiaoyong Chen

“…Transcriptome sequencing was conducted to identify miRNAs, and bioinformatics tools were applied to predict their target genes. …”
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Characterization of carotenoid profiles and presence of functional markers in sub-tropical maize (Zea mays L.) inbred lines by Peter Amoah, Victor O. Adetimirin, Bismark Anokye, Oluyinka J. llesanmi, Nnanna Unachukwu, Elisabeth Ivania Aporva

“…Utilising gel-based genotyping, 24 lines with contrasting carotenoid profiles were selected, evaluated and sequenced. Analysis of the variation in the sequence classified these lines based on their similarities to give 8 allele groups. …”
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Unveiling pathogenic fungal distribution in soil surrounding a municipal solid waste landfill – A case study by Zhicheng Zhang, Cheng Wan, Jiancheng Chen, Zhiqiang Shi, Xumin Xu, Xingxing Wu, Qingna Kong, Jun Yao

“…High-throughput sequencing was employed to characterize pathogenic fungal communities in soil, groundwater, bioaerosols, and waste pile samples from a typical municipal landfill. …”
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Seasonal Dynamics of Eukaryotic Microbial Communities in the Water-Receiving Reservoir of the Long-Distance Water Diversion Project, China by Yingying Yang, Fangfang Ci, Ailing Xu, Xijian Zhang, Ning Ding, Nianxin Wan, Yuanyuan Lv, Zhiwen Song

“…This study investigates the seasonal characteristics of eukaryotic microbial communities in the Jihongtan Reservoir, the main water-receiving body of YQWD, over a one-year period using 18S rDNA amplicon sequencing. The results showed that the eukaryotic microbial diversity did not exhibit significant seasonal variation (<i>p</i> > 0.05), but there was a notable variance in the community structure (<i>p</i> < 0.05). …”
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Temporal dynamics of the vaginal microbiome and host immune markers before, during, and after metronidazole treatment for bacterial vaginosis by Amanda Williams, Jacques Ravel, Eric Armstrong, Sanja Huibner, Lindsay Rutt, Rupert Kaul, Johanna B. Holm

“…The study found significant host and microbial influences on immune response variance, with IP-10 and sEcad highly correlated with the vaginal microbiome. …”
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Spatiotemporal Decoupling Between Intensive Policy Interventions and Natural Gradual Recovery in Human&#x2013;Land Systems During Transition Periods: A Remote Sensing Analysis by Xiao Xie, Chunxiao Zhang, Haojie Kang, Chao E, Jingzhong Li, Wanxia Ren

“…Mechanistically, the spatiotemporal cube analysis revealed two superimposed cycles (5-year policy cycles and 11-year natural recovery cycles) explaining 68% of vegetation variance. This decoupling effect between anthropogenic and natural drivers provides quantitative evidence for optimizing spatial targeting of ecological engineering and synchronizing restoration chrono sequences.…”
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Within-Host Fitness and Antigenicity Shift Are Key Factors Influencing the Prevalence of Within-Host Variations in the SARS-CoV-2 <i>S</i> Gene by Binbin Xi, Zhihao Hua, Dawei Jiang, Zixi Chen, Jinfen Wei, Yuhuan Meng, Hongli Du

“…We observed a significant variance in within-host fitness among iSNVs in the S protein. …”
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The efects of heterosis of the sorghum hybrids F1 based on cytoplasmic male sterility by O. P. Kibalnik, О. B. Kameneva, Е. А. Zhuk, Т. V. Larina, L. А. Orekhova, Yu. А. Kalinin

“…The components of the hybrids and their progeny were grown on the FSBSI RosNIISK “Rossorgo” experimental plots of 7.7 m2, in triple sequences with plant density of 100 thousand plants per ha. …”
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