Genomic description of Microbacterium mcarthurae sp. nov., a bacterium collected from the International Space Station that exhibits unique antimicrobial-resistant and virulent phen... by Megan S. Hill, Vanessa R. Minnis, Anna C. Simpson, Mariana C. Salas Garcia, Davis Bone, Ryan K. Chung, Ella Rushton, Asif Hameed, Punchappady D. Rekha, Jack A. Gilbert, Kasthuri Venkateswaran

“…Additionally, this bacterium exhibits a unique antibiotic resistance phenotype that was not predicted from whole-genome sequencing, as well as increased virulence, suggesting the need for the identification of previously undescribed antimicrobial resistance genes and monitoring/mitigation during spaceflight.…”
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Correlation of Non-Compact Myocardial Layer Characteristics With the Risk of Death and Thrombotic Complications in Dilated Phenotype of Non-Compact Myocardium in Children: Cohort S... by M. K. Umarova, Ye. N. Basargina, I. V. Silnova

“…The risk of death and thrombotic complications did not depend on the NC/C value and the number of non-compact LV segments.Conclusion: The value of the ratio of NC/C and the number of non-compact LV myocardial segments does not allow to predict the course of the disease in children with dilated phenotype of non-compact myocardium in relation to the development of thrombotic complications and occurrence of fatal outcome.…”
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Whole exome sequencing reveals pathogenic variants in CNGA3, CACNA1F, and RPGRIP1 in consanguineous Pakistani families with diverse retinal phenotypes. by Jahangir Khan Tareen, Hamid Khan, Shamsul Ghani, Saeed Khan, Bakhtawar Khan, Yurong Wu, Muhammad Ajmal Khan, Syed Shahab Ud Din Shah, Abrar Hussain, Mubin Mustafa Kiyani, Shahid Bashir, Atta Ur Rehman, Muhammad Imran Shabbir, Hong-Tao Li

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Phenotypic Screening of H₁-Antihistamines Identifies Promethazine and Rupatadine as Active Compounds Against <i>Toxocara canis</i> Infective Larvae by Taís C. Silva, Julia Godoy-Silva, Monique C. Amaro, João V. Silva-Silva, Thiago H. Doring, Leonardo L. G. Ferreira, Adriano D. Andricopulo, Josué de Moraes

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Union makes strength: a worldwide collaborative genetic and clinical study to provide a comprehensive survey of RD3 mutations and delineate the associated phenotype. by Isabelle Perrault, Alejandro Estrada-Cuzcano, Irma Lopez, Susanne Kohl, Shiqiang Li, Francesco Testa, Renate Zekveld-Vroon, Xia Wang, Esther Pomares, Jean Andorf, Nisrine Aboussair, Sandro Banfi, Nathalie Delphin, Anneke I den Hollander, Catherine Edelson, Ralph Florijn, Marc Jean-Pierre, Corinne Leowski, Andre Megarbane, Cristina Villanueva, Blanca Flores, Arnold Munnich, Huanan Ren, Ditta Zobor, Arthur Bergen, Rui Chen, Frans P M Cremers, Roser Gonzalez-Duarte, Robert K Koenekoop, Francesca Simonelli, Edwin Stone, Bernd Wissinger, Qingjiong Zhang, Josseline Kaplan, Jean-Michel Rozet

“…., a 2 bp deletion and two nonsense mutations - predicted to cause complete loss of function. Five families originating from the Southern Shores of the Mediterranean segregated a similar mutation (c.112C>T, p.R38*) suggesting that this change may have resulted from an ancient founder effect. …”
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Identification of novel PfEMP1 variants containing domain cassettes 11, 15 and 8 that mediate the Plasmodium falciparum virulence-associated rosetting phenotype. by Florence E McLean, Brian R Omondi, Nouhoum Diallo, Stanley Otoboh, Carolyne Kifude, Abdirahman I Abdi, Rivka Lim, Thomas D Otto, Ashfaq Ghumra, J Alexandra Rowe

“…Two of these were of the predicted DC11 type (one showing the dual rosetting/IgM-Fc-binding phenotype), whereas two contained DC15 (DBLα1.2-CIDRα1.5b) a PfEMP1 type not previously associated with rosetting. …”
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Mapping rapeseed (Brassica napus L.) aboveground biomass in different periods using optical and phenotypic metrics derived from UAV hyperspectral and RGB imagery by Chuanliang Sun, Chuanliang Sun, Weixin Zhang, Genping Zhao, Qian Wu, Wanjie Liang, Ni Ren, Hongxin Cao, Lidong Zou, Lidong Zou

“…It is well established that rapeseed biomass during different growth stages is closely related to phenotypic traits. This study aims to explore the potential of using optical and phenotypic metrics to estimate rapeseed AGB. …”
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Evaluating the predictive power of combined gene expression dynamics from single cells on antibiotic survival by Razan N. Alnahhas, Virgile Andreani, Mary J. Dunlop

“…Although understanding the underlying mechanisms of these antibiotic tolerance phenotypes is crucial for developing effective approaches to treatment, current approaches for studying these transient phenotypes have limitations. …”
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How measurement noise limits the accuracy of brain-behaviour predictions by Martin Gell, Simon B. Eickhoff, Amir Omidvarnia, Vincent Küppers, Kaustubh R. Patil, Theodore D. Satterthwaite, Veronika I. Müller, Robert Langner

“…Abstract Major efforts in human neuroimaging strive to understand individual differences and find biomarkers for clinical applications by predicting behavioural phenotypes from brain imaging data. …”
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Role of Epigenetics in the Pathogenesis, Treatment, Prediction, and Cellular Transformation of Asthma by Binaya Wasti, Shao-kun Liu, Xu-Dong Xiang

“…Asthma is a mysterious disease with heterogeneity in etiology, pathogenesis, and clinical phenotypes. Although ongoing studies have provided a better understanding of asthma, its natural history, progression, pathogenesis, diversified phenotypes, and even the exact epigenetic linkage between childhood asthma and adult-onset/old age asthma remain elusive in many aspects. …”
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An iterative approach to identify key predictive features of fear reactivity and fearfulness in horses (Equus caballus) by Elena Gobbo, Oleksandra Topal, Inna Novalija, Dunja Mladenić, Manja Zupan Šemrov

“…This study highlights the complexity of fear-related traits and emphasizes that specific phenotypes more accurately predict reactivity and personality in adult horses when AI methods are used. …”
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Distinct Clinical Phenotypes in KIF1A-Associated Neurological Disorders Result from Different Amino Acid Substitutions at the Same Residue in KIF1A by Lu Rao, Wenxing Li, Yufeng Shen, Wendy K. Chung, Arne Gennerich

“…In addition, we present the first analysis of heterodimeric KIF1A motors—mimicking the heterozygous context in patients—and demonstrate that while heterodimers retain substantial motility, their properties are less predictive of clinical severity than homodimers. These results highlight the finely tuned mechanochemical properties of KIF1A and suggest that dysfunctional homodimers may disproportionately drive the diverse clinical phenotypes observed in KAND. …”
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Prenatal factors contribute to the emergence of kwashiorkor or marasmus in severe undernutrition: evidence for the predictive adaptation model. by Terrence E Forrester, Asha V Badaloo, Michael S Boyne, Clive Osmond, Debbie Thompson, Curtis Green, Carolyn Taylor-Bryan, Alan Barnett, Suzanne Soares-Wynter, Mark A Hanson, Alan S Beedle, Peter D Gluckman

“…We hypothesized that different developmental trajectories underlie these clinical-metabolic phenotypes: if so this would be strong evidence in support of predictive adaptation model of developmental plasticity.…”
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Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi‐kernel genomic prediction models integrating secondary traits and environmental covariates by Sudip Kunwar, Md Ali Babar, Diego Jarquin, Yiannis Ampatzidis, Naeem Khan, Janam Prabhat Acharya, Jordan McBreen, Samuel Adewale, Gina Brown‐Guedira

“…This study developed genomic prediction models to estimate these traits using diverse statistical methods while enhancing predictive ability (PA) by integrating environmental covariates (ECs) and secondary traits. …”
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Enhancing Genomic Prediction Accuracy with a Single-Step Genomic Best Linear Unbiased Prediction Model Integrating Genome-Wide Association Study Results by Zhixu Pang, Wannian Wang, Pu Huang, Hongzhi Zhang, Siying Zhang, Pengkun Yang, Liying Qiao, Jianhua Liu, Yangyang Pan, Kaijie Yang, Wenzhong Liu

“…Genomic selection (GS) is a genetic breeding method that uses genome-wide marker information to improve the accuracy of the prediction of complex traits. The single-step GBLUP (ssGBLUP) model, which integrates pedigree, phenotypic, and genomic data, has improved genomic prediction. …”
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Environmental data provide marginal benefit for predicting climate adaptation. by Forrest Li, Daniel J Gates, Edward S Buckler, Matthew B Hufford, Garrett M Janzen, Rubén Rellán-Álvarez, Fausto Rodríguez-Zapata, J Alberto Romero Navarro, Ruairidh J H Sawers, Samantha J Snodgrass, Kai Sonder, Martha C Willcox, Sarah J Hearne, Jeffrey Ross-Ibarra, Daniel E Runcie

“…While our results suggest that environmental data provide limited benefit in predicting fitness-related phenotypes, environmental GWAS is nonetheless a potentially powerful approach to identify individual novel loci associated with adaptation, especially when coupled with high density genotyping.…”
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Inflammatory markers and clinical factors as key independent risk factors for frailty: a retrospective study by Mengying Zeng, Yuanyuan Li, Yuchen Zhu, Ying Sun

“…Incorporating these factors into predictive models could enhance frailty prediction.…”
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Apoptosis and other immune biomarkers predict influenza vaccine responsiveness by David Furman, Vladimir Jojic, Brian Kidd, Shai Shen‐Orr, Jordan Price, Justin Jarrell, Tiffany Tse, Huang Huang, Peder Lund, Holden T Maecker, Paul J Utz, Cornelia L Dekker, Daphne Koller, Mark M Davis

“…In an effort to identifying such markers, we used influenza vaccination in 30 young (20–30 years) and 59 older subjects (60 to >89 years) as models for strong and weak immune responses, respectively, and assayed their serological responses to influenza strains as well as a wide variety of other parameters, including gene expression, antibodies to hemagglutinin peptides, serum cytokines, cell subset phenotypes and in vitro cytokine stimulation. Using machine learning, we identified nine variables that predict the antibody response with 84% accuracy. …”
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Gingival biotype - comparative analysis of different evaluation methods by Đorđević Filip, Dubovina Dejan, Bubalo Marija, Radosavljević Raša, Bukumirić Zoran

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Low density marker‐based effectiveness and efficiency of early‐generation genomic selection relative to phenotype‐based selection in dolichos bean (Lablab purpureus L. Sweet) by Mugali Pundalik Kalpana, Sampangi Ramesh, Chindi Basavaraj Siddu, Gonal Basanagouda, K. Madhusudan, Hosakoti Sathish, Dinesh Sindhu, Munegowda Kemparaju, C. Anilkumar

“…Furthermore, the effectiveness of genomic selection was assessed by comparing the genetic gains in progenies between genotypes selected based on predicted seed yield and phenotypically selected genotypes. …”
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