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public mid density genotyping platform for alfalfa  (Medicago)

 
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    Structured Review

    Medicago public mid density genotyping platform for alfalfa
    Public Mid Density Genotyping Platform For Alfalfa, supplied by Medicago, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/genotypes/alfalfa+density+for+genotyping+mid+platform+public/pm42287125-313-1-7
    Average 86 stars, based on 1 article reviews
    public mid density genotyping platform for alfalfa - by Bioz Stars, 2026-10
    86/100 stars

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    Related Articles

    other:

    Article Title: A public mid-density genotyping platform for alfalfa (Medicago sativa L.)
    Article Snippet: A public mid-density genotyping platform for alfalfa (Medicago sativa L.).

    Article Title: A public mid-density genotyping platform for pecan [Carya illinoinensis (Wangenh.) K. Koch].
    Article Snippet: A public mid-density genotyping platform for alfalfa (Medicago sativa L.).

    Article Title: Bioactive polypeptides for improvements in plant protection, growth and productivity
    Article Snippet: For example, one or more plants or plant parts or the seeds of one or more plants can comprise abaca (manila hemp) (Musa textilis), alfalfa for fodder (Medicago sativa), alfalfa for seed (Medicago sativa), almond (Prunus dulcis), anise seeds (Pimpinella anisum), apple (Malus sylvestris), apricot (Prunus armeniaca), areca (betel nut) (Areca catechu), arracha (Arracacia xanthorrhiza), arrowroot (Maranta arundinacea), artichoke (Cynara scolymus), asparagus (Asparagus officinalis), avocado (Persea americana), bajra (pearl millet) (Pennisetum americanum), bambara groundnut (Vigna subterranea), banana (Musa paradisiaca), barley (Hordeum vulgare), beans, dry, edible, for grains (Phaseolus vulgaris), beans, harvested green (Phaseolus and Vigna spp.), beet, fodder (mangel) (Beta vulgaris), beet, red (Beta vulgaris), beet, sugar (Beta vulgaris), beet, sugar for fodder (Beta vulgaris), beet, sugar for seeds (Beta vulgaris), bergamot (Citrus bergamia), betel nut (Areca catechu), black pepper (Piper nigrum), black wattle (Acacia mearnsii), blackberries of various species (Rubus spp.), blueberry (Vaccinium spp.), Brazil nut (Bertholletia excelsa), breadfruit (Artocarpus altilis), broad bean, dry (Vicia faba), broad bean, harvested green (Vicia faba), broccoli (Brassica oleracea var.

    Article Title: A public mid-density genotyping platform for cultivated blueberry (Vaccinium spp.)
    Article Snippet: A public mid-density genotyping platform for alfalfa (Medicago sativa L.).

    Article Title: BIGapp: A user-friendly genomic tool kit identified quantitative trait loci for creeping rootedness in alfalfa (Medicago sativa L.).
    Article Snippet: A public mid-density genotyping platform for alfalfa (Medicago sativa L.).

    Genome Wide:

    Article Title: Disentangling direct and pleiotropic SNP effects in alfalfa (Medicago sativa L.) using causal graph learning.
    Article Snippet: .. Biazzi, E. et al. Genome-wide association mapping and genomic selection for alfalfa (medicago sativa) forage quality323 traits. ..

    Selection:

    Article Title: Disentangling direct and pleiotropic SNP effects in alfalfa (Medicago sativa L.) using causal graph learning.
    Article Snippet: .. Biazzi, E. et al. Genome-wide association mapping and genomic selection for alfalfa (medicago sativa) forage quality323 traits. ..



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    Image Search Results


    Workflow for identifying 38 candidate RNA-binding protein (RBP) genes potentially implicated in male infertility. This flowchart illustrates the stepwise strategy used to prioritize 38 candidate RBP genes for further investigation in male reproductive biology. The process began with mining the ‘male mouse germ cell RBPome’ database, comprising 408 RBPs enriched (n=168) and specific (n=240) to mouse testes. Human orthologs were identified through homology mapping and cross-referenced with expression data from the Genotype-Tissue Expression and Human Protein Atlas databases. A total of 339 RBPs were found to be expressed in human testicular tissue. Applying a selection criterion of testis-specific enrichment (≥5-fold higher mRNA expression in testis compared to other tissues), 163 testis-enriched human-mouse homologous RBP genes were retained. A comprehensive literature search (PubMed) was conducted to evaluate the functional relevance of these genes in male fertility. Of the 163 RBPs, 125 had previously been associated with reproductive phenotypes in mouse models. The remaining 38 genes (comprising 3 classical, 3 non-classical, and 32 novel RBPs) lacked knockout mouse models, representing a prioritized subset for future functional validation. GTEx, Genotype-Tissue Expression; HPA, Human Protein Atlas; KO, knockout; mMGC, male mouse germ cell.

    Journal: Human Reproduction Update

    Article Title: The intricate dance of RNA-binding proteins: unveiling the mechanisms behind male infertility

    doi: 10.1093/humupd/dmaf023

    Figure Lengend Snippet: Workflow for identifying 38 candidate RNA-binding protein (RBP) genes potentially implicated in male infertility. This flowchart illustrates the stepwise strategy used to prioritize 38 candidate RBP genes for further investigation in male reproductive biology. The process began with mining the ‘male mouse germ cell RBPome’ database, comprising 408 RBPs enriched (n=168) and specific (n=240) to mouse testes. Human orthologs were identified through homology mapping and cross-referenced with expression data from the Genotype-Tissue Expression and Human Protein Atlas databases. A total of 339 RBPs were found to be expressed in human testicular tissue. Applying a selection criterion of testis-specific enrichment (≥5-fold higher mRNA expression in testis compared to other tissues), 163 testis-enriched human-mouse homologous RBP genes were retained. A comprehensive literature search (PubMed) was conducted to evaluate the functional relevance of these genes in male fertility. Of the 163 RBPs, 125 had previously been associated with reproductive phenotypes in mouse models. The remaining 38 genes (comprising 3 classical, 3 non-classical, and 32 novel RBPs) lacked knockout mouse models, representing a prioritized subset for future functional validation. GTEx, Genotype-Tissue Expression; HPA, Human Protein Atlas; KO, knockout; mMGC, male mouse germ cell.

    Article Snippet: To identify candidate RBPs lacking knockout mouse models, we mined the RBP atlas and integrated transcriptomic and proteomic evidence from the Genotype-Tissue Expression (GTEx), Human Protein Atlas (HPA), and UniProt databases.

    Techniques: RNA Binding Assay, Expressing, Selection, Functional Assay, Knock-Out, Biomarker Discovery

    Integrated analysis of 163 testis-enriched RNA-binding proteins (RBPs): gene expression, functional enrichment, and protein-protein interaction (PPI). (A) Heatmap of RBP Gene Expression across Human Tissues (GTEx). Normalized expression levels of 163 testis-enriched RBP genes are shown across multiple human tissues using data from the GTEx database. Genes are arranged on the y -axis and tissues on the x -axis. Color intensity reflects expression levels (low: light yellow; high: dark blue). Genes with testis-specific enrichment (>5-fold higher expression in testes relative to other tissues) are highlighted by RBP classification: classical (blue, n=17), non-classical (green, n=26), and novel (red, n=120). This heatmap illustrates the tissue-specific expression landscape of RBPs, with a particular emphasis on testis-predominant expression. (B) Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway Enrichment Analyses. GO terms and KEGG pathways enriched among the 163 testis-enriched RBPs are depicted. The GO analysis includes biological process (BP), cellular component (CC), and molecular function (MF) categories, highlighting roles in spermatogenesis, RNA processing, and subcellular localization. KEGG analysis identifies key signaling and metabolic pathways relevant to testicular function and male fertility. (C) PPI network. A PPI network of testis-enriched RBPs was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins database. Nodes represent individual RBPs, and edges indicate predicted or known interactions, weighted by confidence scores. This network provides insight into the potential cooperative functions and regulatory hubs of RBPs involved in spermatogenesis and testicular physiology.

    Journal: Human Reproduction Update

    Article Title: The intricate dance of RNA-binding proteins: unveiling the mechanisms behind male infertility

    doi: 10.1093/humupd/dmaf023

    Figure Lengend Snippet: Integrated analysis of 163 testis-enriched RNA-binding proteins (RBPs): gene expression, functional enrichment, and protein-protein interaction (PPI). (A) Heatmap of RBP Gene Expression across Human Tissues (GTEx). Normalized expression levels of 163 testis-enriched RBP genes are shown across multiple human tissues using data from the GTEx database. Genes are arranged on the y -axis and tissues on the x -axis. Color intensity reflects expression levels (low: light yellow; high: dark blue). Genes with testis-specific enrichment (>5-fold higher expression in testes relative to other tissues) are highlighted by RBP classification: classical (blue, n=17), non-classical (green, n=26), and novel (red, n=120). This heatmap illustrates the tissue-specific expression landscape of RBPs, with a particular emphasis on testis-predominant expression. (B) Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway Enrichment Analyses. GO terms and KEGG pathways enriched among the 163 testis-enriched RBPs are depicted. The GO analysis includes biological process (BP), cellular component (CC), and molecular function (MF) categories, highlighting roles in spermatogenesis, RNA processing, and subcellular localization. KEGG analysis identifies key signaling and metabolic pathways relevant to testicular function and male fertility. (C) PPI network. A PPI network of testis-enriched RBPs was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins database. Nodes represent individual RBPs, and edges indicate predicted or known interactions, weighted by confidence scores. This network provides insight into the potential cooperative functions and regulatory hubs of RBPs involved in spermatogenesis and testicular physiology.

    Article Snippet: To identify candidate RBPs lacking knockout mouse models, we mined the RBP atlas and integrated transcriptomic and proteomic evidence from the Genotype-Tissue Expression (GTEx), Human Protein Atlas (HPA), and UniProt databases.

    Techniques: RNA Binding Assay, Gene Expression, Functional Assay, Expressing, Construct