To reduce the cost and increase the efficiency of plant genetic marker fingerprinting for variety discrimination, it is desirable to identify the optimal marker combinations. We describe a marker combination screening model based on the genetic algorithm (GA) and implemented in a software tool, LociScan. Ratio-based variety discrimination power provided the largest optimization space among multiple fitness functions. Among GA parameters, an increase in population size and generation number enlarged optimization depth but also calculation workload. Exhaustive algorithm afforded the same optimization depth as GA but vastly increased calculation time. In comparison with two other software tools, LociScan accommodated missing data, reduced calculation time, and offered more fitness functions. In large datasets, the sample size of training data exerted the strongest influence on calculation time, whereas the marker size of training data showed no effect, and target marker number had limited effect on analysis speed.

Genic male sterility (GMS) is one of the most important resources for exploiting heterosis in crop breeding, so that identifying genomic loci regulating GMS is desirable. However, many regulatory genes controlling GMS have not yet been characterized in maize, owing partly to a lack of genetic materials. We generated a recessive male-sterile maize mutant in the Jing 724 genetic background via ethyl methanesulfonate treatment, and found the male sterility to be due to a single gene mutation. Bulk-segregant RNA sequencing of three replicates indicated that one genomic region located at the end of chromosome 4 was associated with the observed mutant phenotype. Among genes with nonsynonymous mutations, Zm00001d053895 (bHLH51) showed abolished expression in the sterile bulks and was annotated as a bHLH transcription factor orthologous to Arabidopsis AMS, suggesting an association with the male sterility of the mutant. Kompetitive Allele-Specific PCR assays further validated the exclusive correlation of male sterility with the single C-to-T mutation in the fifth exon. The new maize mutant and the potential SNP locus provide novel genetic material for investigating the molecular mechanism underlying tapetal development and may facilitate the improvement of hybrid production systems.

The clustered regularly interspaced short palindromic repeats (CRISPR)–CRISPR-associated protein (Cas) system has been widely used for genome editing. In this system, the cytosine base editor (CBE) and adenine base editor (ABE) allow generating precise and irreversible base mutations in a programmable manner and have been used in many different types of cells and organisms. However, their applications are limited by low editing efficiency at certain genomic target sites or at specific target cytosine (C) or adenine (A) residues. Using a strategy of combining optimized synergistic core components, we developed a new multiplex super-assembled ABE (sABE) in rice that showed higher base-editing efficiency than previously developed ABEs. We also designed a new type of nuclear localization signal (NLS) comprising a FLAG epitope tag with four copies of a codon-optimized NLS (F4NLS^r2) to generate another ABE named F4NLS-sABE. This new NLS increased editing efficiency or edited additional A at several target sites. A new multiplex super-assembled CBE (sCBE) and F4NLS^r2 involved F4NLS-sCBE were also created using the same strategy. F4NLS-sCBE was proven to be much more efficient than sCBE in rice. These optimized base editors will serve as powerful genome-editing tools for basic research or molecular breeding in rice and will provide a reference for the development of superior editing tools for other plants or animals.