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Early maturity is an important target of cotton (Gossypium hirsutum L.) breeding programs. The selection and popularization of early-maturing cotton cultivars have significantly alleviated the problem of optimizing farmland cropping systems when planting cotton and cereals. However, breeding early-maturity cotton with high yields and high-quality crops is sharply constrained by the genetic complexity of the early-maturity trait. Despite the use of modern biotechnological tools, the exact genetic mechanisms underlying early maturity are still not fully understood. Here, we systematically summarize the progress made in understanding the genetic mechanisms responsible for early maturity using the classical quantitative inheritance model, the major gene–polygene mixed inheritance model, quantitative trait locus (QTL) mapping, gene cloning and functional analyses. We also discuss the phenotypic selection strategy in breeding early-maturing cotton cultivars, the application of related QTLs and functional genomic research. We suggest selecting for early-maturity indicators, especially flower and boll period, in early generations but selecting yield percentage before frost continuously among generations. The stable QTLs and related markers involved in early maturity can be used efficiently in breeding programs, and QTL fine-mapping, interaction and omics studies should be performed, along with the mining and in-depth functional analyses of novel genes. Such research will offer new perspectives on the practical breeding and functional genomics of early-maturity cotton. [ABSTRACT FROM AUTHOR]

Key message: In total, 17 QTLs for lint percentage in short-season cotton, including three stable QTLs, were detected. Twenty-eight differentially expressed genes located within the stable QTLs were identified, and two genes were validated by qRT-PCR. The breeding and use of short-season cotton have significant values in addressing the question of occupying farmlands with either cotton or cereals. However, the fiber yields of short-season cotton varieties are significantly lower than those of middle- and late-maturing varieties. How to effectively improve the fiber yield of short-season cotton has become a focus of cotton research. Here, a high-density genetic map was constructed using genome resequencing and an RIL population generated from the hybridization of two short-season cotton accessions, Dong3 and Dong4. The map contained 4960 bin markers across the 26 cotton chromosomes and spanned 3971.08 cM, with an average distance of 0.80 cM between adjacent markers. Based on the genetic map, quantitative trait locus (QTL) mapping for lint percentage (LP, %), an important yield component trait, was performed. In total, 17 QTLs for LP, including three stable QTLs, qLP-A02, qLP-D04, and qLP-D12, were detected. Three out of 11 non-redundant QTLs overlapped with previously reported QTLs, whereas the other eight were novel QTLs. A total of 28 differentially expressed genes associated with the three stable QTLs were identified using RNA-seq of ovules and fibers at different seed developmental stages from the parental materials. The two genes, Ghir_A02G017640 and Ghir_A02G018500, may be related to LP as determined by further qRT-PCR validation. This study provides useful information for the genetic dissection of LP and promotes the molecular breeding of short-season cotton. [ABSTRACT FROM AUTHOR]

Improving early maturity in upland cotton (Gossypium hirsutum L.) is an important target in breeding. The node of the first fruiting branch (NFFB) and its height (HNFFB) are two important indexes to measure early maturity in cotton. To facilitate breeding for early maturity traits in upland cotton and reveal the genetic control underlying the two traits, a genome-wide association study was performed using 53,848 high-quality single nucleotide polymorphisms (SNPs) from 77,774 of a recently developed CottonSNP80K array. A total of 55 target trait-associated SNPs were detected, of which 12 SNPs were for NFFB and 43 were for HNFFB. Two SNPs for NFFB and 22 SNPs for HNFFB were repeatedly detected in at least two environments and/or by two models. These 24 SNPs also exhibited high phenotypic contributions of more than 10% and could be used for marker-assisted selection in future breeding programs. Furthermore, 89 candidate genes were identified in the genome sequence of upland cotton. These genes were categorized through Gene Ontology analysis. Gh_A05G1482 might be a potential candidate gene for improving the early maturation of cotton. These findings reveal the genetic control underlying NFFB and HNFFB and provide insight into genetic improvements for early maturity in upland cotton. [ABSTRACT FROM AUTHOR]

Improving early maturity in upland cotton (Gossypium hirsutum L.) is an important target in breeding. The node of the first fruiting branch (NFFB) and its height (HNFFB) are two important indexes to measure early maturity in cotton. To facilitate breeding for early maturity traits in upland cotton and reveal the genetic control underlying the two traits, a genome-wide association study was performed using 53,848 high-quality single nucleotide polymorphisms (SNPs) from 77,774 of a recently developed CottonSNP80K array. A total of 55 target trait-associated SNPs were detected, of which 12 SNPs were for NFFB and 43 were for HNFFB. Two SNPs for NFFB and 22 SNPs for HNFFB were repeatedly detected in at least two environments and/or by two models. These 24 SNPs also exhibited high phenotypic contributions of more than 10% and could be used for marker-assisted selection in future breeding programs. Furthermore, 89 candidate genes were identified in the genome sequence of upland cotton. These genes were categorized through Gene Ontology analysis. Gh_A05G1482 might be a potential candidate gene for improving the early maturation of cotton. These findings reveal the genetic control underlying NFFB and HNFFB and provide insight into genetic improvements for early maturity in upland cotton. [ABSTRACT FROM AUTHOR]

Seeds stored for a prolonged period are subject to aging and a reduction in germination potential (GP), which will negatively affect seed sales. Rare-earth elements have a synergistic effect on the improvement of seed GP. In this study, we examined the effects of neodymium on biochemical components, the antioxidant protective system, and metabolism-related enzymes during germination of naturally and artificially aged seeds of three wheat cultivars. Seed germination indices, biochemical substance contents, and enzyme activities decreased after seed aging. Soaking seeds in a neodymium nitrate solution revived aged wheat seeds at an optimal concentration of 20 µmol/L for 8 h. Soaking in a neodymium nitrate solution increased the GP4 (by 2.25–60.9%), germination index (by 1.69–29.2%), and vigor index (by 3.36–18.7%) of aged seeds. Compared with non-soaked seeds, soaking significantly changed the contents of biochemical substances, and the activities of antioxidant protective enzymes and metabolic enzymes in seedlings were increased. Soaking with neodymium may revive aged seeds by regulating the synthesis of soluble sugars, soluble proteins, chlorophyll, and carotenoids and decomposing malondialdehyde in the germinating seed. Root dehydrogenase and amylase showed different responses to the aging modes. The differential responses of root dehydrogenase and amylase may reflect differences in the resistance of enzymes to long-term mild seed aging and short-term severe environmental aging. [ABSTRACT FROM AUTHOR]

Sedoheptulose-1,7-bisphosphatase (SBPase, EC 3.1.3.37) is a key enzyme in the plant Calvin cycle and one of the main rate-limiting enzymes in the plant photosynthesis pathway. Many studies have demonstrated that the SBPase gene plays an important role in plant photosynthetic efficiency, yield, and stress responses; however, few studies have been conducted on the function and expression of the GhSBPase gene in upland cotton. In this study, our results showed that the coding sequence (CDS) of GhSBPase gene was 1182 bp, encoding a protein with 393 amino acids. The GhSBPase protein had adenosine monophosphate (AMP) binding site and a FIG (FBPase/IMPase/glpX) domain, and had six Cys residues and a CGGT(A/Q)C motif that were involved in redox regulation in plants. Evolutionarily, the GhSBPase protein clustered into the dicotyledon subgroup and was most closely related to the tomato SlSBPase protein. Western-blot analysis further indicated that the GhSBPase gene was indeed the gene encoding the SBPase protein in upland cotton. The GhSBPase protein was localized in chloroplast, which was consistent with its function as a key enzyme in photosynthesis. The GhSBPase gene was specifically highly expressed in leaves, and its expression level was significantly lower in a yellow-green leaf mutant than in the wild type. Moreover, the GhSBPase expression was in response to drought, salt, high- and low-temperature stress, and exhibits different expression patterns. The GhSBPase promoter had the cis-acting elements in response to abiotic stress, phytohormone, and light. In addition, the GhSBPase expression was positively correlated with the chlorophyll fluorescence parameters, suggesting that changes in the expression of the GhSBPase had potential applicability in breeding for enhanced cotton photosynthetic efficiency. These results will help to understand the function of the GhSBPase gene in photosynthesis and the adaptability of plants to external stress and provide important gene information for the high-yield breeding of crops in the future. [ABSTRACT FROM AUTHOR]

Node of first fruiting/sympodial branch (NFFB) and its height (HNFFB) are two important indicators to measure cotton ( Gossypium spp.) early maturity. This study performed an association mapping using the mixed linear model (MLM) procedure for NFFB and HNFFB based on 172 Upland cotton ( Gossypium hirsutum L.) cultivars and 331 polymorphic SSR markers. The gene diversity index of 331 markers ranged from 0.0387 to 0.7799 with a mean value of 0.4002 and the polymorphism information content ranged from 0.0379 to 0.7473 with a mean value of 0.3375. A total of 18 markers associated with NFFB were detected in at least two environments, and the range of explained phenotypic variation by markers in different environments was 2.28-11.36 % with a mean value of 5.20 %. A total of 19 markers associated with HNFFB were detected in at least two environments, and the range of explained phenotypic variation by markers in different environments was 2.83-16.96 % with a mean value of 7.92 %. These markers detected in multiple environments are of good stability and can be used for marker-assisted selection (MAS) of target traits. In addition, favorable alleles for NFFB and HNFFB were mined. These favorable alleles and their representative cultivars are expected to be used for breeding practices. This study provides theoretical basis for the further analysis of genetic basis of NFFB and HNFFB, as well as the use of MAS for cotton early maturity. [ABSTRACT FROM AUTHOR]