Erratum: Comparative QTL mapping for male sterility of cultivated strawberry (Fragaria × ananassa Duch.) using different reference genome sequences.

[This corrects the article DOI: 10.1270/jsbbs.20151.].

Mutation in BEIIb mitigates the negative effect of the mutation in ISA1 on grain filling and amyloplast formation in rice.

KEY MESSAGE: Mutation of the BEIIb gene in an isa1 mutant background mitigates the negative effect of the ISA1 mutation on grain filling, and facilitates recovery of amyloplast formation in rice endosperm. In this study, the effect of branching enzyme IIb and isoamylase 1 deficiency on starch properties was demonstrated using high resistant starch rice lines, Chikushi-kona 85 and EM129. Both lines harbored a mutation in the BEIIb and ISA1 genes and showed no BEIIb and ISA1 activity, implying that both lines are beIIb isa1 double mutants. The amylopectin long chain and apparent amylose content of both mutant lines were higher than those of the wild-type. While both mutants contained loosely packed, round starch grains, a trait specific to beIIb mutants, they also showed collapsed starch grains at the center of the endosperm, a property specific to isa1 mutants. Furthermore, beIIb isa1 double mutant F2 lines derived from a cross between Chikushi-kona 85 and Nishihomare (wild-type cultivar) showed significantly heavier seed weight than the beIIb and isa1 single mutant lines. These results suggest that co-occurrence of beIIb and isa1 mutant alleles in a single genetic background mitigates the negative effect of the isa1 allele on grain filling, and contributes to recovery of the amyloplast formation defect in the isa1 single mutant.

Comparative QTL mapping for male sterility of cultivated strawberry (Fragaria × ananassa Duch.) using different reference genome sequences.

Male sterility is one of the reproductive isolation systems in plants and quite useful for F1 seed production. We previously identified three independent quantitative trait loci (QTLs) for male sterility of cultivated strawberry, Here, we identified the specific subgenomes in which these QTLs are located by QTL-seq approach. QTLs qMS4.1, qMS4.2, and qMS4.3 were mapped separately in subgenomes Fvb4-4, Fvb4-3, and Fvb4-1, respectively, in 'Camarosa' genome assembly v. 1.0.a1. Candidate regions of qMS4.1 and qMS4.3 were clearly detected around 12-26 Mb in Fvb4-4 and 12-14 Mb in Fvb4-1, respectively; those of qMS4.2 were fragmented in Fvb4-3, which suggests that some scaffolds were incorrectly assembled in Fvb4-3. qMS4.3 was mapped to chr4X1 of 'Reikou' genome assembly r2.3, and qMS4.1 and qMS4.2 were both mapped to chr4Av, which indicates that differentiation of the subgenomes in which both QTLs are located was insufficient in 'Reikou' r2.3. Although 'Camarosa' genome assembly v. 1.0.a1 is an unphased map, which merges homologous chromosomes into one sequence, 'Reikou' genome assembly r2.3 is a phased map, which separates homologous chromosomes. QTL mapping to different reference genomes clearly showed the specific features of each reference genome, and that using different kinds of reference map could accelerate fine mapping and map-based cloning of certain genes of cultivated strawberry.

Strawberry fruit shape: quantification by image analysis and QTL detection by genome-wide association analysis.

Fruit shape of cultivated strawberry (Fragaria × ananassa Duch.) is an important breeding target. To detect genomic regions associated with this trait, its quantitative evaluation is needed. Previously we created a multi-parent advanced-generation inter-cross (MAGIC) strawberry population derived from six founder parents. In this study, we used this population to quantify fruit shape. Elliptic Fourier descriptors (EFDs) were generated from 2 969 two-dimensional binarized fruit images, and principal component (PC) scores were calculated on the basis of the EFD coefficients. PC1-PC3 explained 96% of variation in shape and thus adequately quantified it. In genome-wide association study, the PC scores were used as phenotypes. Genome wide association study using mixed linear models revealed 2 quantitative trait loci (QTLs) for fruit shape. Our results provide a novel and effective method to analyze strawberry fruit morphology; the detected QTLs and presented method can support marker-assisted selection in practical breeding programs to improve fruit shape.

Genome-wide expression quantitative trait locus studies facilitate isolation of causal genes controlling panicle structure.

The morphology of rice (Oryza sativa L.) panicles is an important determinant of grain yield, and elucidation of the genetic control of panicle structure is very important for fulfilling the demand for high yield in breeding programs. In a quantitative trait locus (QTL) study using 82 backcross inbred lines (BILs) derived from Koshihikari and Habataki, 68 QTLs for 25 panicle morphological traits were identified. Gene expression profiling from inflorescence meristems of BILs was obtained. A combination of phenotypic QTL (pQTL) and expression QTL (eQTL) analysis revealed co-localization between pQTLs and eQTLs, consistent with significant correlations between phenotypic traits and gene expression levels. By combining pQTL and eQTL data, two genes were identified as controlling panicle structure: OsMADS18 modulates the average length of the primary rachis and OsFTL1 has pleiotropic effects on the total number of secondary rachides, number of grains per panicle, plant height and the length of flag leaves. Phenotypes were confirmed in RNA interference knocked-down plants and overexpressor lines. The combination of pQTL and eQTL analysis could facilitate identification of genes involved in rice panicle formation.

Survey of genes involved in rice secondary cell wall formation through a co-expression network.

The plant secondary cell wall is the major source of lignocellulosic biomass, a renewable energy resource that can be used for bioethanol production. To comprehensively identify transcription factors (TFs), glycosyltransferase (GT) and glycosyl hydrolase (GH) involved in secondary cell wall formation in rice (Oryza sativa), co-expression network analysis was performed using 68 microarray data points for different rice tissues and stages. In addition to rice genes encoding orthologs of Arabidopsis thaliana TFs known to regulate secondary cell wall formation, the network analysis suggested many novel TF genes likely to be involved in cell wall formation. In the accompanying paper (Hirano et al.), several of these TFs are shown to be involved in rice secondary cell wall formation. Based on a comparison of the rice and Arabidopsis networks, TFs were classified as common to both species or specific to each plant species, suggesting that in addition to a common transcriptional regulatory mechanism of cell wall formation, the two plants may also use species-specific groups of TFs during secondary wall formation. Similarly, genes encoding GT and GH were also classified as genes showing species-common or species-specific expression patterns. In addition, genes for primary or secondary cell wall formation were also suggested. The list of rice TF, GT and GH genes provides an opportunity to unveil the regulation of secondary cell wall formation in grasses, leading to optimization of the cell wall for biofuel production.

Efficacy of microarray profiling data combined with QTL mapping for the identification of a QTL gene controlling the initial growth rate in rice.

Seedling vigor, which is controlled by many quantitative trait loci (QTLs), is one of several important agronomic traits for direct-seedling rice systems. However, isolating these QTL genes is laborious and expensive. Here, we combined QTL mapping and microarray profiling to identify QTL genes for seedling vigor. By performing QTL mapping using 82 backcross inbred lines (BILs) of the Koshihikari (japonica) and Habataki (indica) cultivars for the rice initial growth, we identified two QTLs, early-stage plant development1/2 (qEPD1 and qEPD2), whose Koshihikari alleles promote plant height and/or leaf sheath length. Phenotypic analysis of the two substituted lines carrying the Habataki qEPD1 or qEPD2 allele revealed that qEPD2 functioned more dominantly for the initial growth of rice. From the microarray experiment, 55 and 45 candidate genes were found in the qEPD1 and qEPD2 genomic regions, which are expressed differentially between each substitution line (SL) and Koshihikari. Gibberellin 20 oxidase-2 (OsGA20ox2), which is identical to Semi Dwarf1 (SD1), was included among the 55 candidate genes of qEPD1, whereas its paralog, OsGA20ox1, was included among the 45 candidate genes of qEPD2. Consistently, introduction of the Koshihikari OsGA20ox1 allele into SL(qEPD2) increaseed its plant height and leaf sheath length significantly relative to the introduction of the Habataki OsGA20ox1 allele. Therefore, microarray profiling could be useful for rapidly screening QTL candidate genes. We concluded that OsGA20ox1 and OsGA20ox2 (SD1) function during the initial growth of rice, but OsGA20ox1 plays a dominant role in increasing plant height and leaf sheath length at the initial growth stage.