A combinatorial strategy to identify various types of QTLs for quantitative traits using extreme phenotype individuals in an F2 population

Next-generation bulked segregant analysis for Breeding 4.0

Functional cloning and manipulation of genes controlling various agronomic traits are important for boosting crop production. Although bulked segregant analysis (BSA) is an efficient method for functional cloning, its low throughput cannot satisfy the current need for crop breeding and food security. Here, we review the rationale and development of conventional BSA and discuss its strengths and drawbacks. We then propose next-generation BSA (NG-BSA) integrating multiple cutting-edge technologies, including high-throughput phenotyping, biological big data, and the use of machine learning. NG-BSA increases the resolution of genetic mapping and throughput for cloning quantitative trait genes (QTGs) and optimizes candidate gene selection while providing a means to elucidate the interaction network of QTGs. The ability of NG-BSA to efficiently batch-clone QTGs makes it an important tool for dissecting molecular mechanisms underlying various traits, as well as for the improvement of Breeding 4.0 strategy, especially in targeted improvement and population improvement of crops.

Identification of QTLs and their candidate genes for the number of maize tassel branches in F2 from two higher generation sister lines using QTL mapping and RNA-seq analysis

Tassel branch number is an important agronomic trait that is closely associated with maize kernels and yield. The regulation of genes associated with tassel branch development can provide a theoretical basis for analyzing tassel branch growth and improving maize yield. In this study. we used two high-generation sister maize lines, PCU (unbranched) and PCM (multiple-branched), to construct an F2 population comprising 190 individuals, which were genotyped and mapped using the Maize6H-60K single-nucleotide polymorphism array. Candidate genes associated with tassel development were subsequently identified by analyzing samples collected at three stages of tassel growth via RNA-seq. A total of 13 quantitative trait loci (QTLs) and 22 quantitative trait nucleotides (QTNs) associated with tassel branch number (TBN) were identified, among which, two major QTLs, qTBN6.06-1 and qTBN6.06-2, on chromosome 6 were identified in two progeny populations, accounting for 15.07% to 37.64% of the phenotypic variation. Moreover, we identified 613 genes that were differentially expressed between PCU and PCM, which, according to Kyoto Encyclopedia of Genes and Genomes enrichment analysis, were enriched in amino acid metabolism and plant signal transduction pathways. Additionally, we established that the phytohormone content of Stage I tassels and the levels of indole-3-acetic acid (IAA) and IAA-glucose were higher in PCU than in PCM plants, whereas contrastingly, the levels of 5-deoxymonopolyl alcohol in PCM were higher than those in PCU. On the basis of these findings, we speculate that differences in TBN may be related to hormone content. Collectively, by combining QTL mapping and RNA-seq analysis, we identified five candidate genes associated with TBN. This study provides theoretical insights into the mechanism of tassel branch development in maize.

Combination of GWAS and FST-based approaches identified loci associated with economic traits in sugarcane

Sugarcane is a globally important plant for both sugar and biofuel production. Although conventional breeding has played an important role in increasing the productivity of sugarcane, it takes a long time to achieve breeding goals such as high yield and resistant to diseases. Molecular breeding, including marker-assisted breeding and genomic selection, can accelerate genetic improvement by selecting elites at the seedling stage with DNA markers. However, only a few DNA markers associated with important traits were identified in sugarcane. The purpose of this study was to identify DNA markers associated with sugar content, stalk diameter, and sugarcane top borer resistance. The sugarcane samples with trait records were genotyped using the restriction site-associated DNA sequencing (RADseq) technology. Using F_ST analysis and genome-wide association study (GWAS), a total of 9, 23 and 9 DNA variants (single nucleotide polymorphisms (SNPs)/insertions and deletions (indels)) were associated with sugar content, stalk diameter, and sugarcane top borer resistance, respectively. The identified genetic variants were on different chromosomes, suggesting that these traits are complex and determined by multiple genetic factors. These DNA markers identified by both approaches have the potential to be used in selecting elite clones at the seeding stage in our sugarcane breeding program to accelerate genetic improvement. Certainly, it is essential to verify the reliability of the identified DNA markers associated with traits before they are used in molecular breeding in other populations.

Identification of a suppressor for the wheat stripe rust resistance gene Yr81 in Chinese wheat landrace Dahongpao

Combined with BSE-Seq analysis and multiple genetic populations, three genes involved in stripe rust resistance were identified in Chinese wheat landrace Dahongpao, including a novel suppressor on 2BS. Dahongpao (DHP), a landrace of hexaploid wheat in China, exhibits a high degree of stripe rust resistance in the field for many years. In this study, bulked segregant analysis coupled with exome capture sequencing (BSE-Seq) was used to identify genes encoding stripe rust resistance in multiple genetic populations from the cross between DHP and a susceptible hexaploid Australian cultivar, Avocet S (AvS). The most effective QTL in DHP was Yr18, explaining up to 53.08% of phenotypic variance in the F_2:3 families. To identify additional genes, secondary mapping populations SP1 and SP2 were produced by crossing AvS with two resistant lines derived from F_2:3 families lacking Yr18. An all-stage resistance gene, Yr.DHP-6AS, was identified via BSE-Seq analysis of SP1. Combined the recombinant plants from both SP1 and SP2, Yr.DHP-6AS was located between KP6A_1.66 and KP6A_8.18, corresponding to the same region as Yr81. In addition, secondary mapping populations SP3 and SP4 were developed by selfing a segregating line from F_2:3 families lacking Yr18. A novel suppressor gene on chromosome 2BS was identified from DHP for effectively suppressing the resistance of Yr.DHP-6AS in the SP3 and SP4. As a result, the wheat lines carrying both Yr18 and Yr.DHP-6AS show higher level of stripe rust resistance than DHP, providing an effective and simple combination for developing new wheat cultivars with ASR and APR genes. Further, the newly developed KASP markers, KP6A_1.99 and KP6A_5.22, will facilitate the application of Yr.DHP-6AS in wheat breeding via marker-assisted selection.