A SuperLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits. by Dennis Khodasevich, Nina Holland, Lars van der Laan, Andres Cardenas

“…Coupling SuperLearner with PCA in the predictor development process may be especially relevant for studies with longitudinal designs utilizing multiple array types, as well as for the development of predictors of more complex phenotypic traits.…”
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Differences of active substances in different fruit phenotypes of Lycium ruthenicum Murr. by SHI Cui, KONG Dongsheng, WU Yao, BAO Jingwei

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Uncovering the genetic basis of milk production traits in Mexican Holstein cattle based on individual markers and genomic windows. by José G Cortes-Hernández, Adriana García-Ruiz, Francisco Peñagaricano, Hugo H Montaldo, Felipe J Ruiz-López

“…A total of 162 markers were significantly associated (p<0.01) with the phenotypic traits evaluated, and the SNP markers were distributed across chromosomes 1, 3, 5, 6, 10, 12, 14, 16, 18, 20, 22, and 29. …”
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Simple Imaging Techniques for Plant Growth Assessment by Shinsuke Agehara

“… Quantification of plant phenotypic traits, such as height, width, stem diameter, and leaf area, is often performed manually in the field; however, these measurements can be performed more quickly and precisely through simple imaging techniques using an image processing program. …”
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Simple Imaging Techniques for Plant Growth Assessment by Shinsuke Agehara

“… Quantification of plant phenotypic traits, such as height, width, stem diameter, and leaf area, is often performed manually in the field; however, these measurements can be performed more quickly and precisely through simple imaging techniques using an image processing program. …”
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Role of metabolism, resistance, and/or antagonism as drivers of endomicrobiomes assemblage in Origanum heracleoticum L by Giulia Semenzato, Francesco Vitali, Arcangela Frascella, Ludovica Lollini, Stefano Mocali, Alessio Papini, Renato Fani, Giovanni Emiliani

“…In conclusion, this research advances our comprehension of the intricate dynamics between plants and their associated microbiota, indicating that its composition is mainly influenced by forces contributing to the selection of distinct functions and phenotypic traits.…”
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Quality analysis of Idesia polycarpa fruit oil samples from cultivars with different phenotypes by Tianting Luo, Jiaqi Xu, Zhouqin Zhen, Xue Pan, Lang Feng, Likang Qin, Tingyuan Ren

“…To study the quality characteristics of Idesia polycarpa fruit oil (IPFO) samples under varying phenotypic traits and their differences, three typical phenotypic fruits of the same cultivar were compared, both morphologically and chemically. …”
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Hybridization potential and genetic influence of parental varieties on fruit size and set rate in Gleditsia sinensis by Qingying Zeng, Yang Zhao, Xiurong Wang, Fuhua Liu, Meixuan Xie, Xingfu Zhang

“…Therefore, G. fera can serve as an excellent male parent for interspecific hybridization with G. sinensis. The phenotypic traits of the current generation’s pods are primarily influenced by the additive effects of the maternal parent and the non-additive effects of both parents. …”
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Urban Cepaea nemoralis snails are less likely to have nematodes trapped within their shells by Dahirel, Maxime, Reyné, Hannah, De Wolf, Katrien, Bonte, Dries

“…We examined shells from the generalist snail Cepaea nemoralis sampled in three urban areas in Belgium for trapped nematodes, and attempted to link this to urbanization and shell phenotypic traits. We found that even a small degree of urbanization led to large decreases in the rates of shell encapsulation, and that larger snails were more likely to contain trapped nematodes. …”
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Partitioning the phenotypic and genetic variances of reaction norms by de Villemereuil, Pierre, Chevin, Luis-Miguel

“…In addition, the evolutionary potential of phenotypic traits and their plasticity in heterogeneous environments critically depends on how reaction norms vary genetically, but there is no consensus on how this should be quantified. …”
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A genome-wide association study identified SNP markers and candidate genes associated with morphometric fruit quality traits in mangoes by Shamseldeen Eltaher, Jin Li, Barbie Freeman, Sukhwinder Singh, Gul Shad Ali

“…Conclusions To choose the most promising mango accessions for future breeding and for closing genetic gaps among the accessions and increasing genetic diversity, a new selection method is suggested based on phenotypic traits such as high-yielding mango fruit cultivars, number of reference alleles, and genetic distance among the selected genotypes. …”
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Codon usage patterns and genomic variation analysis of chloroplast genomes provides new insights into the evolution of Aroideae by Xinbi Jia, Jiaqi Wei, Yuewen Chen, Chenghong Zeng, Chan Deng, Pengchen Zeng, Yufei Tang, Qinghong Zhou, Yingjin Huang, Qianglong Zhu

“…It is difficult to identify and classify Aroideae species accurately on the basis of morphology alone because of their polymorphic phenotypic traits. The chloroplast genome (CPG) is useful for studying on plant taxonomy and phylogeny, and the analysis of codon usage bias (CUB) in CPGs provides further insights into the intricate phylogenetic relationships among Aroideae. …”
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Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

“…Abstract Background There is a growing interest in uncovering the factors that shape microbiome composition due to its association with complex phenotypic traits in livestock. Host genetic variation is increasingly recognized as a major factor influencing the microbiome. …”
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The m6A modification regulates the composition of myofiber types in chicken skeletal muscle by Yanju Shan, Yifan Liu, Ming Zhang, Lichuan Pang, Gaige Ji, Xiaojun Ju, Yunjie Tu, Jingting Shu

“…To investigate the post-transcriptional modification underlying the myofiber type diversity in chicken skeletal muscle, we evaluated the m6A methylation levels of chicken skeletal muscles with different phenotypic traits, and profiled a transcriptome-wide m6A map in the oxidative and glycolytic skeletal muscles by methylated RNA immunoprecipitation sequencing (MeRIP-seq). …”
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