Dissection of Common Rust Resistance in Tropical Maize Multiparent Population through GWAS and Linkage Studies.

Common rust (CR), caused by Puccina sorghi, is a major foliar disease in maize that leads to quality deterioration and yield losses. To dissect the genetic architecture of CR resistance in maize, this study utilized the susceptible temperate inbred line Ye107 as the male parent crossed with three resistant tropical maize inbred lines (CML312, D39, and Y32) to generate 627 F7 recombinant inbred lines (RILs), with the aim of identifying maize disease-resistant loci and candidate genes for common rust. Phenotypic data showed good segregation between resistance and susceptibility, with varying degrees of resistance observed across different subpopulations. Significant genotype effects and genotype × environment interactions were observed, with heritability ranging from 85.7% to 92.2%. Linkage and genome-wide association analyses across the three environments identified 20 QTLs and 62 significant SNPs. Among these, seven major QTLs explained 66% of the phenotypic variance. Comparison with six SNPs repeatedly identified across different environments revealed overlap between qRUST3-3 and Snp-203,116,453, and Snp-204,202,469. Haplotype analysis indicated two different haplotypes for CR resistance for both the SNPs. Based on LD decay plots, three co-located candidate genes, Zm00001d043536, Zm00001d043566, and Zm00001d043569, were identified within 20 kb upstream and downstream of these two SNPs. Zm00001d043536 regulates hormone regulation, Zm00001d043566 controls stomatal opening and closure, related to trichome, and Zm00001d043569 is associated with plant disease immune responses. Additionally, we performed candidate gene screening for five additional SNPs that were repeatedly detected across different environments, resulting in the identification of five candidate genes. These findings contribute to the development of genetic resources for common rust resistance in maize breeding programs.

Cumulative and different genetic effects contributed to yield heterosis using maternal and paternal backcross populations in Upland cotton.

Heterosis has been utilized in commercial production, but the heterosis mechanism has remained vague. Hybrid cotton is suitable to dissect the heterosis mechanism. In order to explore the genetic basis of heterosis in Upland cotton, we generated paternal and maternal backcross (BC/P and BC/M) populations. Data for yield and yield-component traits were collected over 2 years in three replicated BC/P field trials and four replicated BC/M field trials. At single-locus level, 26 and 27 QTLs were identified in BC/P and BC/M populations, respectively. Six QTLs shared in both BC populations. A total of 27 heterotic loci were detected. Partial dominant and over-dominant QTLs mainly determined yield heterosis in the BC/P and BC/M populations. QTLs for different traits displayed varied genetic effects in two BC populations. Eleven heterotic loci overlapped with QTLs but no common heterotic locus was detected in both BC populations. We resolved the 333 kb (48 genes) and 516 kb (25 genes) physical intervals based on 16 QTL clusters and 35 common QTLs, respectively, in more than one environment or population. We also identified 189 epistatic QTLs and a number of QTL × environment interactions in two BC populations and the corresponding MPH datasets. The results indicated that cumulative effects contributed to yield heterosis in Upland cotton, including epistasis, QTL × environment interaction, additive, partial dominance and over-dominance.

Fiber Quality Improvement in Upland Cotton (Gossypium hirsutum L.): Quantitative Trait Loci Mapping and Marker Assisted Selection Application.

Genetic improvement in fiber quality is one of the main challenges for cotton breeders. Fiber quality traits are controlled by multiple genes and are classified as complex quantitative traits, with a negative relationship with yield potential, so the genetic gain is low in traditional genetic improvement by phenotypic selection. The availability of Gossypium genomic sequences facilitates the development of high-throughput molecular markers, quantitative trait loci (QTL) fine mapping and gene identification, which helps us to validate candidate genes and to use marker assisted selection (MAS) on fiber quality in breeding programs. Based on developments of high density linkage maps, QTLs fine mapping, marker selection and omics, we have performed trait dissection on fiber quality traits in diverse populations of upland cotton. QTL mapping combined with multi-omics approaches such as, RNA sequencing datasets to identify differentially expressed genes have benefited the improvement of fiber quality. In this review, we discuss the application of molecular markers, QTL mapping and MAS for fiber quality improvement in upland cotton.

Overexpression of GhDof1 improved salt and cold tolerance and seed oil content in Gossypium hirsutum.

A homologous GhDof1, which belongs to a large family of plant-specific transcription factor DOF, was isolated from Upland cotton (Gossypium hirsutum L.). GhDof1 protein was located in the nucleus of onion epidermal cells, the core domain of transcriptional activity existed in the C-terminal, and the activity elements of GhDof1 promoter existed in the regions of -645∼ -469bp and -286∼ -132bp of transcriptional start codon. GhDof1 constitutively expressed in leaves, roots and stems, accumulated highest in leaves. The salinity and cold treatments induced GhDof1 transcript accumulation. The GhDof1-overexpressed cotton showed significantly higher salt and cold tolerance over the wild-type plants. Under salt stress, the root growth of overexpressed GhDof1 lines was promoted. The expression levels of stress-responsive genes, GhP5CS, GhSOD and GhMYB, were differently up-regulated in transgenic lines. Oil contents increased in some transgenic plants, and protein contents reduced compared with transformed receptor. These results suggested that GhDof1 was a functional transcription factor for improving the abiotic tolerance and seed oil content in Upland cotton.

Genome-Wide Identification and Expression Analysis of the Biotin Carboxyl Carrier Subunits of Heteromeric Acetyl-CoA Carboxylase in Gossypium.

Acetyl-CoA carboxylase is an important enzyme, which catalyzes acetyl-CoA's carboxylation to produce malonyl-CoA and to serve as a committed step for de novo fatty acid biosynthesis in plastids. In this study, 24 putative cotton BCCP genes were identified based on the lately published genome data in Gossypium. Among them, 4, 4, 8, and 8 BCCP homologs were identified in Gossypium raimondii, G. arboreum, G. hirsutum, and G. barbadense, respectively. These genes were divided into two classes based on a phylogenetic analysis. In each class, these homologs were relatively conserved in gene structure and motifs. The chromosomal distribution pattern revealed that all the BCCP genes were distributed equally on corresponding chromosomes or scaffold in the four cotton species. Segmental duplication was a predominant duplication event in both of G. hirsutum and G. barbadense. The analysis of the expression profile showed that 8 GhBCCP genes expressed in all the tested tissues with changed expression levels, and GhBCCP genes belonging to class II were predominantly expressed in developing ovules. Meanwhile, the expression analysis for the 16 cotton BCCP genes from G. raimondii, G. arboreum and G. hirsutum showed that they were induced or suppressed by cold or salt stress, and their expression patterns varied among different tissues. These findings will help to determine the functional and evolutionary characteristics of the BCCP genes in Gossypium species.

Genome and transcriptome-wide analyses of cellulose synthase gene superfamily in soybean.

The plant cellulose synthase gene superfamily belongs to the category of type-2 glycosyltransferases, and is involved in cellulose and hemicellulose biosynthesis. These enzymes are vital for maintaining cell-wall structural integrity throughout plant life. Here, we identified 78 putative cellulose synthases (CS) in the soybean genome. Phylogenetic analysis against 40 reference Arabidopsis CS genes clustered soybean CSs into seven major groups (CESA, CSL A, B, C, D, E and G), located on 19 chromosomes (except chromosome 18). Soybean CS expansion occurred in 66 duplication events. Additionally, we identified 95 simple sequence repeat makers related to 44 CSs. We next performed digital expression analysis using publically available datasets to understand potential CS functions in soybean. We found that CSs were highly expressed during soybean seed development, a pattern confirmed with an Affymatrix soybean IVT array and validated with RNA-seq profiles. Within CS groups, CESAs had higher relative expression than CSLs. Soybean CS models were designed based on maximum average RPKM values. Gene co-expression networks were developed to explore which CSs could work together in soybean. Finally, RT-PCR analysis confirmed the expression of 15 selected CSs during all four seed developmental stages.