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Genomic Insights Into Heterosis: Dominance or Additive × Additive Interaction?

Heterosis was documented in the 18th century, but its biological basis has been debated since. The theoretical framework proposed by Hill, and adapted by Lynch, is based on two central parameters: admixed composition (S), and the heterozygosity (H). Using genomic information, it is now possible to estimate independently the individual realized Si and Hi. In this research, a methodology for estimating the contribution of dominance and additive &#xd7; additive effects to heterosis is proposed. This approach would be especially relevant in cases where there is insufficient phenotypic information available, or an adequate genetic group experimental design, common in humans, wild species and other admixed populations. We also provide theoretical arguments highlighting the enhanced precision of the estimations of heterosis parameters through this method. Furthermore, we exemplify this procedure by analysing data from an experimental F2 pig population, which was initially designed for QTL mapping. Notably, all animals in this population were genotyped (including F1 and parental breeds), but phenotypic information was only available for F2 individuals and included 13 traits related to growth, fat deposition, carcass characteristics and meat quality. Significant additive effects (p&#x2009;<&#x2009;0.05) were detected for longissimus muscle area and carcass temperature, suggesting complementary additive effects for these traits. Significant dominance and additive &#xd7; additive effects were also detected for birth weight and carcass length, respectively (p&#x2009;<&#x2009;0.05), indicating that heterosis for these traits is primarily attributable to dominance and additive &#xd7; additive interactions. These results demonstrate that the proposed methodology can successfully estimate the genetic components underlying heterosis and underscores the utility of this approach in&#xa0;situations where we possess genomic data but limited phenotypic data.

SNP

Beyond parental lines: multi-omics analyses reveal epigenetic and transcriptional mechanisms underlying heterosis in Oryza sativa &#xd7; Oryza rufipogon hybrids.

Heterosis, or hybrid vigor, refers to the superior phenotypes of a hybrid compared with their parents and is widely exploited in agriculture. Interspecific hybrids within the Oryza genus demonstrate significant potential for the systematic improvement of rice varieties. Nevertheless, the mechanistic basis underlying heterosis in interspecific Oryza hybrids remains poorly understood. Here, we systematically performed phenotypic characterization, whole-genome bisulfite sequencing, RNA sequencing, and small RNA profiling using Oryza sativa L. ssp. japonica cv. Nipponbare (NIP), Oryza rufipogon Griff. acc. CWR, and their resulting F1 hybrid (named as NC). NIP and CWR showed distinct phenotypic and molecular differences. The interspecific hybrid, NC, exhibited significant yield heterosis. In the hybrid, most epigenetic and transcriptional features displayed additive inheritance patterns relative to parental lines. Analysis revealed that domestication-selected genes maintained relatively low DNA methylation coupled with high expression levels in both hybrid and parental lines. Additionally, we identified that non-additive miRNAs were potentially involved in regulating fertility, cell growth, and cell division processes in the hybrid. A significant negative correlation was observed between DNA methylation level and gene expression. Functional enrichment analysis revealed that hybrid-MPV DEGs were significantly associated with flowering time regulation, carbohydrate metabolism, photosynthesis, protein phosphorylation, seed development, and defense responses. Through weighted gene co-expression network analysis, we identified 102 functional gene modules, six of which were significantly associated with yield-related heterosis. Collectively, our results provide a multi-omics framework for understanding interspecific hybridization between elite cultivars and wild rice relatives, highlighting CWR as an untapped genetic reservoir for rice improvement.

Oryza

Alternatively spliced killer-protector system confers S19-mediated hybrid male sterility in rice.

Hybrid sterility limits the use of strong interspecific heterosis and S19 is a major locus that confers hybrid sterility between Oryza sativa (Asian cultivated rice) and Oryza glaberrima (African cultivated rice). However, the S19 is not yet cloned and its underlying mechanism remains elusive. In this study, we identify two closely&#xa0;linked genes (S19A1 and S19A7) specific to African rice allele that encode a killer-protector module at the S19 locus. Two alternatively spliced transcripts expressed from the killer gene S19A1 (S19A1.1 and S19A1.2) encode mitochondria-targeted cytotoxic proteins that cause toxicity diversity for somatic and/or gametic cell death, respectively. However, S19A7 interacts with S19A1.1 and S19A1.2, blocking their cytotoxic effect. Because the Asian rice S19 allele lacks S19A1 and S19A7, male gametes that carry this allele are selectively aborted in Asian-African F1 hybrids. Knockout of S19A1 can overcome S19-mediated hybrid sterility. Haplotype analysis reveals that the functional S19 allele is absent in non-AA-genome Oryza species and likely emerged in the O. barthii-O. glaberrima lineage through a multi-step evolutionary process. Our findings provide insight into the genetic mechanisms responsible for hybrid sterility between Asian and African rice and suggest genetic and biotechnological strategies for the use of interspecific heterosis in rice.

Oryza

Dissecting genetic variance structure and evaluating genomic prediction models for single-cross hybrids derived from Stiff Stalk and Non-Stiff Stalk maize heterotic groups.

The early 20th-century discovery of heterosis and the establishment of heterotic groups transformed maize (Zea mays L.) into a keystone of global agriculture. However, maize breeding faces two significant challenges: the gradual decline of general combining ability (GCA) variance within heterotic groups and the impracticality of testing all possible single crosses in the early stages of a breeding program. Here, we developed genomic best linear unbiased prediction (GBLUP)-based multikernel models, using additive and two alternative nonadditive genomic relationship matrices, to estimate the variance components associated with the general combining ability of Stiff Stalk (SS) and Non-Stiff Stalk (NSS) heterotic groups and the specific combining ability arising from their crosses. We further applied these models to predict the performance of untested single-cross combinations under varying levels of parental information. We showed that the SS and NSS groups retained significant GCA variance across traits in both early- and late-maturity groups. The SS group, in contrast, exhibited no detectable GCA variance in grain yield for the intermediate-flowering subset of hybrids, highlighting a limitation for future genetic improvement. Furthermore, our results showed that GBLUP-based multikernel models effectively identified superior hybrids when parental information was available. In the absence of this information, however, these models underperformed compared to covariance-based approaches. Both nonadditive matrices yielded similar results, indicating that they capture comparable genetic relationship patterns despite their distinct formulations. Overall, this study sheds light on the future use of US maize commercial germplasm and demonstrates how GBLUP-based multikernel models can improve the efficiency of hybrid breeding programs.

Zea mays

Advancing genetic evaluation of milk yield and composition using a genomic-polygenic model in smallholder dairy cattle farms in Thailand.

Improving the accuracy of genetic evaluation in smallholder dairy systems is essential for sustainable productivity. However, traditional polygenic models (PM) are often constrained by incomplete pedigree, heterogeneous management, and limited genotyping resources. This study evaluated a genomic-polygenic model (GPM) relative to a PM using data from a multibreed dairy population raised under Thai tropical smallholder conditions. Phenotypic records for 305-day milk yield (MY), fat percentage (FP), protein percentage (PP), and somatic cell count (SCC) from 14,417 first-lactation cows across 1,321 farms were analyzed together with genotypes from 5,479 animals generated using GeneSeek Genomic Profiler (GGP) arrays ranging from 9&#xa0;K to 150&#xa0;K SNPs. Both models included herd-year-season of calving, age at first calving, and heterosis as fixed effects, and additive genetic and residual components treated as random. The GPM yielded higher additive genetic variances and heritability estimates and produced more biologically consistent antagonistic correlations among traits than the PM. Prediction accuracy was improved for all animal groups under the GPM, with the largest gain observed in genotyped young sires (18.36%). Pedigree connectedness analysis indicated that genotyping animals with low to moderate relationships enhances accuracy cost-effectively. Despite persistent challenges associated with heterogeneous management and limited pedigree depth, the results demonstrate the practical value of genomic-polygenic evaluation for smallholder multibreed dairy populations in tropical environments.

Animals

A haploid wild yeast resource for exploring the natural ecology of Saccharomyces cerevisiae.

Saccharomyces cerevisiae occurs predominantly in the diploid state in nature, limiting genetic analyses of wild populations. Here, we establish a haploid collection from 32 Taiwanese S. cerevisiae isolates through targeted HO disruption. This resource spans predomesticated Asian wild lineages and enables the investigation of reproductive isolation and ecological trait variation. Although all pairwise hybridizations formed zygotes, many yielded reduced spore viability, revealing strong postzygotic barriers. Genome analyses associated reduced hybrid fertility with lineage-specific structural variation, including elevated levels of intra-chromosomal inversions in H413-8/TW1 and inter-chromosomal rearrangements in PD35A/CHN-V, rather than sequence divergence alone. Phenotyping revealed ecological differentiation, with TW1 favoring cooler growth and a natural hybrid exhibiting heterosis with expanded thermotolerance. Most wild strains grew poorly on maltose, whereas anthropogenic strains displayed enhanced utilization linked to MAL + regulatory alleles and maltose-specific transporters. Together, this haploid collection links structural variation and metabolic divergence to ecological and reproductive differentiation in wild S. cerevisiae.

Saccharomyces cerevisiae

Synthetic allopolyploidy unveils hybridization-driven transcriptional reprogramming underlying thermal adaptation in Cucumis.

Both heterosis (hybrid vigor) resulting from hybridization and genetic plasticity conferred by whole-genome duplication (WGD) are recognized as drivers of evolutionary success and ecological adaptation in plants. Allopolyploids, which combine both hybridization and WGD, are widespread in both natural and agricultural settings and often exhibit superior performance. However, the relative contributions of these two elements to the success of allopolyploids remain poorly understood. Here, we employed an experimentally reconstructed allotetraploid Cucumis species (C.&#x2009;&#xd7;&#x2009;hytivus, 2n&#x2009;=&#x2009;4x&#x2009;=&#x2009;38) and its diploid interspecific hybrid progenitor (allodiploid, 2n&#x2009;=&#x2009;2x&#x2009;=&#x2009;19) to decouple and investigate the distinct and combined contributions of hybridization and whole-genome doubling to immediate genetic and phenotypic consequences of allopolyploid formation under environmental stress. Both C.&#x2009;&#xd7;&#x2009;hytivus and the allodiploid exhibited superior heat tolerance compared with the parental species with significantly higher semi-lethal temperature and enhanced physiological acclimation capacity. While the allodiploid and allotetraploid retain transcriptomic features where differences persist (e.g., WGCNA modules), comparative analysis of the 15,680 homoeologous gene pairs in the allodiploid and allotetraploid under heat stress (45&#xb0;C) versus control conditions (28&#xb0;C) revealed conserved heat-responsive transcriptional plasticity, suggesting that enhanced thermotolerance in C.&#x2009;&#xd7;&#x2009;hytivus is presented as consequences arising dominantly after interspecific hybridization. This study provides mechanistic insights into allopolyploid adaptation through experimental reconstruction of allopolyploid genomes, demonstrating that hybridization initiates key transcriptional and physiological advantages under stress, subsequent WGD stabilizes these adaptations and contributes to the full phenotypic realization. This work decouples the roles of interspecific hybridization and WGD and proposes a synthetic biology approach for developing climate-resilient crops.

Hybridization, Genetic

CRISPR-Cas technologies for precision genome editing in plants: advances, applications, and future perspectives.

Developing climate-smart crops with enhanced crop productivity, nutritional quality, resistance to biological and environmental stressors is vital for global food security. While hybrid breeding forms the cornerstone of modern crop improvement, conventional breeding approaches are limited by genetic barriers and prolonged breeding cycles. CRISPR-Cas based genome editing has revolutionized plant biology by allowing precise, efficient, and multiplex genetic modifications. This review provides a comprehensive synthesis of a recent advances in CRISPR-Cas technologies and their strategic applications in crop genetics and hybrid breeding. We summarize major genome-editing strategies, including gene knock-out, base editing (BE), knock-in, gene replacement, epigenome editing, and transcriptional regulation. Furthermore, we contrast stable, transient, and DNA-free delivery systems, highlighting ribonucleoprotein (RNP)-mediated delivery for minimizing off-target effects and avoiding transgene integration. We showcase how these technologies accelerate hybrid breeding by engineering male sterility systems, fixing heterosis, and generating high-throughput mutant libraries for trait discovery. Finally, we synthesize major bottlenecks in tissue culture-independent transformation and delivery systems, while outlining how emerging paradigms like de novo domestication and synthetic biology will shape the future of climate-resilient agriculture.

CRISPR/Cas

Associations between gut microbiota on carcass traits and meat quality in Neijiang pigs, Yorkshire pigs, and their hybrids.

This study was designed as an exploratory analysis to compare carcass performance, meat quality traits, and gut microbiota of Neijiang pigs (NN), Yorkshire pigs (YY), and Yorkshire &#xd7; Neijiang hybrid pigs (YN), with the goal of generating testable hypotheses regarding potential links between gut microbial composition and production phenotypes. Compared with NN pigs, YN hybrids exhibited improved carcass performance while inheriting the favorable meat quality characteristics of Neijiang pigs. The results of 16S rRNA sequencing analysis showed that the relative abundance of the microbiota was similar to that of NN pigs. LDA effect size (LEfSe) results showed that Streptococcus, Treponema, probable_genus_10 and Fibrobacter were the differentially enriched taxa in YN pigs (p < 0.05). Correlation analysis was performed on carcass, meat quality and intestinal microbiota screened out by LEfSe. The results showed that Akkermansia tended to positively associate with body length and oblique length in YN pigs; Dialister correlated positively with dressing rate and pH45min; Treponema showed positive trends with a*45min and a*24h (p < 0.05). Finally, the correlation network model preliminarily mapped associations among production traits, gut microbiota, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways for exploratory screening. Nine core microbial taxa exhibited close correlations with phenotypic indicators, which implied that these microbes might modulate metabolic pathways to shape pig performance. Overall, hybrids inherited superior parental carcass and meat quality but harbored unique gut microbial communities relative to purebreds-these preliminary correlative observations generate new hypotheses that gut microbiota may contribute to heterosis-associated phenotypic advantages, which require further targeted validation.

Animals