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In silico simulation of future hybrid performance to evaluate heterotic pool formation in a self-pollinating crop.

ABSTRACT: Hybrid vigour has the potential to substantially increase the yield of self-pollinating crops such as wheat and rice, but future hybrid performance may depend on the initial strategy to form heterotic pools. We used in silico stochastic simulation of future hybrid performance in a self-pollinating crop to evaluate three strategies of forming heterotic pools in the founder population. The model included either 500, 2000 or 8000 quantitative trait nucleotides (QTN) across 10 chromosomes that contributed to a quantitative trait with population mean 100 and variance 10. The average degree of dominance at each QTN was either 0.2, 0.4 or 0.8 with variance 0.2. Three strategies for splitting the founder population into two heterotic pools were compared: (i) random split; (ii) split based on genetic distance according to principal component analysis of SNP genotypes; and (iii) optimized split based on F₁ hybrid performance in a diallel cross among the founders. Future hybrid performance was stochastically simulated over 30 cycles of reciprocal recurrent selection based on true genetic values for additive and dominance effects. The three strategies of forming heterotic pools produced similar future hybrid performance, and superior future hybrids to a control population selected on inbred line performance when the number of quantitative trait nucleotides was ≥2000 and/or the average degree of dominance was ≥0.4.

SUBMITTER: Cowling WA

PROVIDER: S-EPMC7055256 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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In silico simulation of future hybrid performance to evaluate heterotic pool formation in a self-pollinating crop.

Cowling Wallace A WA Gaynor R Chris RC Antolín Roberto R Gorjanc Gregor G Edwards Stefan M SM Powell Owen O Hickey John M JM

Scientific reports 20200304 1

Hybrid vigour has the potential to substantially increase the yield of self-pollinating crops such as wheat and rice, but future hybrid performance may depend on the initial strategy to form heterotic pools. We used in silico stochastic simulation of future hybrid performance in a self-pollinating crop to evaluate three strategies of forming heterotic pools in the founder population. The model included either 500, 2000 or 8000 quantitative trait nucleotides (QTN) across 10 chromosomes that contr ...[more]

PMID: 32132627

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Project description:Non-additive gene regulation has been recently suggested as an important factor promoting phenotypic variation and plasticity. In order to obtain a description of gene expression status at an early stage of ear development in a maize (Zea mays L.) F1 hybrid as relative to its parental inbreds, we compared gene expression profiles in immature ears of elite inbred lines B73 and H99 to one of their F1 hybrids (B73xH99) using cDNA microarray technology. Results show several genes expressed at a significantly different level between both inbred lines and their hybrid. In addition, gene expression non-additivity in the hybrid was detected on a broad scale, consisting of both dominance and over-dominance components, indicating that complex non-additive interactions at the molecular level exist in the developing ear of the studied maize hybrid. Non-additively regulated genes belong to a wide range of molecular functions, indicating that several regulatory and metabolic patterns are possibly affected during ear development in the investigated hybrid. We discuss the possibility that observed gene expression non-additivity in immature ear might be an early molecular manifestation of hybrid vigor, the most exploited factor for maize agronomic improvement. We directly contrasted both B73 and H99 inbred lines vs. their F1 heterotic hybrid transcriptomes in immature ear. Our experimental design consisted of 10 cDNA microarray hybridizations, 5 for each combination of hybrid vs. inbred genotypes, involving 20 separate labeling reactions. Labeling dyes were swapped in two of the five replicates for each combination. In each hybridization, control channel was assigned to the F1 hybrid, and differences in transcriptional levels between B73 and H99 were inferred using the hybrid as a common reference sample in an indirect experimental design. To take in account variability in transcript population among individuals, total RNA coming from different isolations, each collected on multiple individuals, were mixed before poly(A+) RNA purification. All hybridizations on microarray slides were then performed using cDNA independently labeled from the poly(A+) RNA purification product for each genotype. Base-two logarithms of expression ratios were subjected to one-class response significance analysis in SAM v. 2.20 software [Tusher et al. 2001]. For each EST the estimates of additive parameter "a" and dominance parameter "d" (middle-parent heterosis) were obtained as a = (L2 – L1)/2 d = (L1 + L2)/2 (where L1 and L2 are mean base-two logarithms of expression ratios of F1 vs. B73 and F1 vs. H99, respectively). Positive values of "a" indicate expression values bigger in B73 than in H99. The dominance/additivity ratio (d/|a|) was also calculated [Falconer 1989]. Evaluation of statistical significance of parameters was done by calculating standard errors of the estimates "a" and "d" as standard errors of linear functions of the means. Significance testing was done correspondingly, using an F-test for linear contrasts. P-values for the families of tests corresponding to each parameter were subjected to global error analyses using a method based on fitting mixture distribution [Allison et al. 2002], allowing to estimate the false discovery rates (FDR) and false negative rates (FNR). Confidence intervals for d/|a| ratios were obtained by Fieller’s method [Piepho and Emrich 2005], allowing to classify the genes into different dominance type classes.

Dataset Information

In silico simulation of future hybrid performance to evaluate heterotic pool formation in a self-pollinating crop.

Publications

In silico simulation of future hybrid performance to evaluate heterotic pool formation in a self-pollinating crop.

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