ReviewPlant biotechnology journal2024
Epistasis and pleiotropy-induced variation for plant breeding.
Review in Plant biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- The Regulatory Army of Plant Defense: Transcription Factors in the War for Plant Immunity.International journal of molecular sciences · 2026Review
- Inference of fitness landscapes with heterogeneous patterns of epistasis across sites.bioRxiv : the preprint server for biology · 2026Article
- Genomic signatures of selection highlight the erosion of resilience alleles in Iranian wheat.BMC plant biology · 2026Article
- Genetic architecture and candidate loci associated with growth and yield-related traits in sweet fig banana (Musa acuminata cv Sotoumon, AA).BMC genomics · 2026Article
- Genetic characteristics and agronomic traits in leafy head Chinese cabbage breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genetic analysis and mapping of adult plant stripe rust resistance loci in CIMMYT wheat 'Kijil' under Mexican and Chinese field environments.PLoS genetics · 2026Article
- A high-quality bread wheat genome unravels the adaptive evolution of wheat end-use quality.Nature plants · 2026Article
- An omnigenic interactome model to chart the genetic architecture of individual plants.Horticulture research · 2026Article
- Inference and Visualization of Complex Genotype-Phenotype Maps.Molecular biology and evolution · 2026Article
- Optimizing progeny size and number of crosses under genomic selection: insights into additive and epistatic contributions to long-term genetic gain.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Evidence of a genomic basis for growth rate variation in a natural kelp population.Scientific reports · 2026Article
- Investigations into genetic control of six spike traits with a focus on breeding for terminal heat stress tolerance in common wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Haplotype applications in genomic selection.Genome biology · 2026Review
- MAGIC populations: a next-generation framework for dissecting complex quantitative traits and accelerating molecular breeding in crops.Frontiers in plant science · 2026Review
- QTL pyramiding uncovers epistatic interactions that modify cuticle phenolics in tomato.Frontiers in plant science · 2026Article
- Genome-wide association study (GWAS) and transcription analysis of candidate genes for rice grain eating and cooking quality (ECQ) traits.BMC genomics · 2025Article
- Unraveling novel mechanisms controlling heterosis in seeds: advances and biotechnological applications in crops.Journal of experimental botany · 2025Review
- Genome analyses and breeding of polyploid crops.Nature plants · 2025Review
- Inference and visualization of complex genotype-phenotype maps withbioRxiv : the preprint server for biology · 2025Article
- Learning sequence-function relationships with scalable, interpretable Gaussian processes.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epistasis refers to nonallelic interaction between genes that cause bias in estimates of genetic parameters for a phenotype with interactions of two or more genes affecting the same trait. Partitioning of epistatic effects allows true estimation of the genetic parameters affecting phenotypes. Multigenic variation plays a central role in the evolution of complex characteristics, among which pleiotropy, where a single gene affects several phenotypic characters, has a large influence. While pleiotropic interactions provide functional specificity, they increase the challenge of gene discovery and functional analysis. Overcoming pleiotropy-based phenotypic trade-offs offers potential for assisting breeding for complex traits. Modelling higher order nonallelic epistatic interaction, pleiotropy and non-pleiotropy-induced variation, and genotype × environment interaction in genomic selection may provide new paths to increase the productivity and stress tolerance for next generation of crop cultivars. Advances in statistical models, software and algorithm developments, and genomic research have facilitated dissecting the nature and extent of pleiotropy and epistasis. We overview emerging approaches to exploit positive (and avoid negative) epistatic and pleiotropic interactions in a plant breeding context, including developing avenues of artificial intelligence, novel exploitation of large-scale genomics and phenomics data, and involvement of genes with minor effects to analyse epistatic interactions and pleiotropic quantitative trait loci, including missing heritability.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.