Mutations in RZF1, a zinc-finger protein, reduce magnesium uptake in roots and translocation to shoots in rice.

Magnesium (Mg) homeostasis is critical for maintaining many biological processes, but little information is available to comprehend the molecular mechanisms regulating Mg concentration in rice (Oryza sativa). To make up for the lack of information, we aimed to identify mutants defective in Mg homeostasis through a forward genetic approach. As a result of the screening of 2,825 M2 seedlings mutated by ion-beam irradiation, we found a rice mutant that showed reduced Mg content in leaves and slightly increased Mg content in roots. Radiotracer 28Mg experiments showed that this mutant, named low-magnesium content 1 (LMGC1), has decreased Mg2+ influx in the root and Mg2+ translocation from root to shoot. Consequently, LMGC1 is sensitive to the low Mg condition and prone to develop chlorosis in the young mature leaf. The MutMap method identified a 7.4-kbp deletion in the LMGC1 genome leading to a loss of two genes. Genome editing using CRISPR-Cas9 further revealed that one of the two lost genes, a gene belonging to the RanBP2-type zinc-finger family that we named RanBP2-TYPE ZINC FINGER1 (OsRZF1), was the causal gene of the low Mg phenotype. OsRZF1 is a nuclear protein and may have a fundamental role in maintaining Mg homeostasis in rice plants.

DNAMarkMaker: streamlining ARMS and CAPS marker development from resequencing data with NGS short reads.

DNA markers serve as essential tools in breeding selection and genetic analysis. However, developing DNA markers can be time-consuming and labor-intensive due to the need to identify polymorphisms between cultivars/lines and to design suitable primers. To address these challenges, we have developed DNAMarkMaker, a tool designed to automate the process of primer design for Amplification Refractory Mutation System (ARMS) and Cleaved Amplified Polymorphic Sequences (CAPS) markers, utilizing resequencing data. One key feature of DNAMarkMaker is its user-friendly graphical user interface (GUI), ensuring its accessibility and ease of use, even for researchers not well-versed in bioinformatics. We confirmed DNAMarkMaker's applicability by developing DNA markers for rice, potato, and turnip-each representing distinct genome structures: homozygous diploid, heterozygous autotetraploid, and heterozygous diploid, respectively. DNAMarkMaker will contribute to the rapid and efficient development of DNA markers, accelerating breeding and genetic analysis in various crops.

Non-vernalization requirement for flowering in Brassica rapa conferred by a dominant allele of FLOWERING LOCUS T.

KEY MESSAGE: We identified and characterized a dominant FT allele for flowering without vernalization in Brassica rapa, while demonstrating its potential for deployment in breeding to accelerate flowering in various Brassicaceae crops. Controlling the timing of flowering is key to improving yield and quality of several agricultural crops including the Brassicas. Many Brassicaceae crops possess a conserved flowering mechanism in which FLOWERING LOCUS C (FLC) represses the transcription of flowering activators such as FLOWERING LOCUS T (FT) during vernalization. Here, we employed genetic analysis based on next-generation sequencing to identify a dominant FT allele, BraA.FT.2-C, for flowering in the absence of vernalization in the Brassica rapa cultivar 'CHOY SUM EX CHINA 3'. BraA.FT.2-C harbors two large insertions upstream of its coding region and is expressed without vernalization, despite FLC expression. We show that BraA.FT.2-C offers an opportunity to introduce flowering without vernalization requirement into winter-type brassica crops, including B. napus, which have many functional FLC paralogs. Furthermore, we demonstrated the feasibility of using B. rapa harboring BraA.FT.2-C as rootstock for grafting to induce flowering in radish (Raphanus sativus), which requires vernalization for flowering. We believe that the ability of BraA.FT.2-C to overcome repression by FLC can have significant applications in brassica crops breeding to increase yields by accelerating or delaying flowering.

Red-Beet Betalain Pigments Inhibit Amyloid-ß Aggregation and Toxicity in Amyloid-ß Expressing Caenorhabditis elegans.

Betalain pigments are mainly produced by plants belonging to the order of Caryophyllales. Betalains exhibit strong antioxidant activity and responds to environmental stimuli and stress in plants. Recent reports of antioxidant, anti-inflammatory and anti-cancer properties of betalain pigments have piqued interest in understanding their biological functions. We investigated the effects of betalain pigments (betanin and isobetanin) derived from red-beet on amyloid-ß (Aß) aggregation, which causes Alzheimer's disease. Non-specific inhibition of Aß aggregation against Aß40 and Aß42 by red-beet betalain pigments, in vitro was demonstrated using the thioflavin t fluorescence assay, circular dichroism spectroscopy analysis, transmission electron microscopy and nuclear magnetic resonance (NMR) analysis. Furthermore, we examined the ability of red-beet betalain pigments to interfere with Aß toxicity by using the transgenic Caenorhabditis elegans model, which expresses the human Aß42 protein intracellularly within the body wall muscle. It responds to Aß-toxicity with paralysis and treatment with 50 µM red-beet betalain pigments significantly delayed the paralysis of C. elegans. These results suggest that betalain pigments reduce Aß-induced toxicity.

Sat-BSA: an NGS-based method using local de novo assembly of long reads for rapid identification of genomic structural variations associated with agronomic traits.

Advances in next generation sequencing (NGS)-based methodologies have accelerated the identifications of simple genetic variants such as point mutations and small insertions/deletions (InDels). Structural variants (SVs) including large InDels and rearrangements provide vital sources of genetic diversity for plant breeding. However, their analysis remains a challenge due to their complex nature. Consequently, novel NGS-based approaches are needed to rapidly and accurately identify SVs. Here, we present an NGS-based bulked-segregant analysis (BSA) technique called Sat-BSA (SVs associated with traits) for identifying SVs controlling traits of interest in crops. Sat-BSA targets allele frequencies at all SNP positions to first identify candidate genomic regions associated with a trait, which is then reconstructed by long reads-based local de novo assembly. Finally, the association between SVs, RNA-seq-based gene expression patterns and trait is evaluated for multiple cultivars to narrow down the candidate genes. We applied Sat-BSA to segregating F2 progeny obtained from crosses between turnip cultivars with different tuber colors and successfully isolated two genes harboring SVs that are responsible for tuber phenotypes. The current study demonstrates the utility of Sat-BSA for the identification of SVs associated with traits of interest in species with large and heterozygous genomes.

Next-generation sequencing-based bulked segregant analysis for QTL mapping in the heterozygous species Brassica rapa.

KEY MESSAGE: An improved protocol of QTL-seq, an NGS-based method for bulked segregant analysis we previously developed in rice, allowed successful mapping of QTLs of interest in the highly heterozygous genome of B. rapa, demonstrating the power of this elegant method for genetic analyses in heterozygous species of economic importance. Recent advances in next-generation sequencing (NGS) and the various NGS-based methods developed for rapidly identifying candidate genes of interest have accelerated genetic analysis mainly in the model plants rice and Arabidopsis. Brassica rapa includes several economically important crops such as Chinese cabbage, turnip and various leafy vegetables. The application of NGS-based approaches for the analysis of B. rapa has been limited mainly due to its highly heterozygous genome and poor quality of the reference genome sequence currently available for this species. In this study, we have improved QTL-seq, a method for NGS-based bulked segregant analysis we previously developed in rice, extending its applicability for accelerating the genetic analysis and molecular breeding of B. rapa. Addition of new filters to the original QTL-seq pipeline allowed removal of spurious single-nucleotide polymorphisms caused by alignment/sequencing errors and variability between parents, significantly improving accuracy of the analysis. As proof of principle, we successfully applied the new approach to identify candidate genomic regions controlling flowering and trichome formation using segregating F2 progeny obtained from crosses made between cultivars of B. rapa showing contrasting phenotypes for these traits. We strongly believe that the improved QTL-seq method reported here will extend the applicability of NGS-based genetic analysis not only to B. rapa but also to other plant species of economic importance with heterozygous genomes.

Phylogenomic analysis in Latilactobacillus sakei by using polymorphisms detected by next-generation sequencing.

Latilactobacillus sakei is a lactic acid bacterium used to produce a wide range of fermented food products. To understand their characteristics and adaptability to various nutrient sources, we applied strain-specific, nucleotide-concatenated (SSC) sequences to the phylogenetic analysis of 32 L. sakei strains isolated from various locations and products. SSC sequences were developed by concatenating the polymorphisms detected by whole-genome sequencing. This enabled us to use sufficient polymorphisms and avoid the bias caused by selecting partial sequences, such as that in core genome and multi-locus sequence typing. SSC sequence-based analysis revealed that the phylogenetic relations for L. sakei are based on the different nutrition sources rather than geographical distance.