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High yield has always been an essential target in almost all of the cotton breeding programs. Boll weight (BW) is a key component of cotton yield. Numerous linkage mapping and genome-wide association studies (GWAS) have been performed to understand the genetic mechanism of BW, but information on the markers/genes controlling BW remains limited. In this study, we conducted a GWAS for BW using 51,268 high-quality single-nucleotide polymorphisms (SNPs) and 189 Gossypium hirsutum accessions across five different environments. A total of 55 SNPs significantly associated with BW were detected, of which 29 and 26 were distributed in the A and D subgenomes, respectively. Five SNPs were simultaneously detected in two environments. For TM5655, TM8662, TM36371, and TM50258, the BW grouped by alleles of each SNP was significantly different. The ± 550 kb regions around these four key SNPs contained 262 genes. Of them, Gh_A02G1473, Gh_A10G1765, and Gh_A02G1442 were expressed highly at 0 to 1 days post-anthesis (dpa), − 3 to 0 dpa, and − 3 to 0 dpa in ovule of TM-1, respectively. They were presumed as the candidate genes for fiber cell differentiation, initiation, or elongation based on gene annotation of their homologs. Overall, these results supplemented valuable information for dissecting the genetic architecture of BW and might help to improve cotton yield through molecular marker-assisted selection breeding and molecular design breeding. [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]

Sweet potato ( Ipomoea batatas) is one of the major food and vegetable crops around the world. Sweet potato produces two types of roots: storage roots and fibrous roots. The tuberous root is a modified lateral root that functions as a storage organ, and is the portion of the plant consumed by humans. However, the molecular mechanisms controlling transformation of lateral roots to storage roots are still unclear. In this study, we systematically investigated the potential role of 16 conserved microRNAs (miRNAs) in floral root development. miRNAs are an extensive class of small regulatory RNAs controlling almost all biological and metabolic process in plants. Our results show that some miRNAs are expressed in an organ-dependent manner. For example, the expression level of miR156 and miR162 was significantly lower in storage roots than in leaves and fibrous roots. This suggests that miRNAs may play a role during storage root initiation and development. The expression of miR167 is higher in stamens than that in other tissues tested, indicating that miR167 is crucial to stamen development. miR398-a stress-responsive miRNA-may be involved in fibrous root and storage root development. Additionally, three miRNAs, miR160, miR164 and miR166, also appear to be important in fibrous root and storage root development. [ABSTRACT FROM AUTHOR]

Auxin response factors (ARFs) are recently discovered transcription factors that bind with auxin response elements (AuxRE, TGTCTC) to regulate the expression of early auxin-responsive genes. To our knowledge, the ARF gene family has never been characterized in cotton, the most important fiber crop in the world. In this study, a total of 35 ARF genes, named as GrARFs, were identified in a diploid cotton species Gossypium raimondii. The 35 ARF genes were located in 12 of the 13 cotton chromosomes; the intron/exon distribution of the GrARF genes was similar among sister pairs, whereas the divergence of some GrARF genes suggests the possibility of functional diversification. Our results show that the middle domains of nine GrARF proteins rich in glutamine (Q) are activators, while 26 other GrARF proteins rich in proline (P), serine (S), and threonine (T) are repressors. Our results also show that the expression of GrARF genes is diverse in different tissues. The expression of GrARF1 was significantly higher in leaves, whereas GrARF2a had higher expression level in shoots, which implicates different roles in the tested tissues. The GrARF11 has a higher expression level in buds than that in leaves, while GrARF19.2 shows contrasting expression patterns, having higher expression in leaves than that in buds. This suggests that they play different roles in leaves and buds. During long-term evolution of G. raimondii, some ARF genes were lost and some arose. The identification and characterization of the ARF genes in G. raimondii elucidate its important role in cotton that ARF genes regulate the development of flower buds, sepals, shoots, and leaves. [ABSTRACT FROM AUTHOR]

Objective: To identify reliable reference genes for gene expression analysis in Gossypium raimondii. Results: Five different software tools, geNorm, NormFinder, BestKeeper, ReFinder and ∆Ct method were employed to analyze the qRT-PCR data systematically of 12 housekeeping genes. SAD and TUA11 showed relatively stable expression levels in all tissues (i.e. leaves, shoots, buds, and sepals). We then limited our analysis to each plant part and identified tissue-specific reference genes. Our results showed TUA11, TUB6 and EF1a, EF1a, MZA and GAPC2, MZA, GAPC2, SAD and TUA11, and UBQ and MZA were reliable reference genes in leaves, shoots, buds, and sepals, respectively. Conclusion: Some genes were commonly identified as candidate reference genes in more than two tissue, while others were tissue-specific. Thus, our study allows choosing an appropriate control gene based on sampling for gene expression analysis. [ABSTRACT FROM AUTHOR]

The xylem sap of a plant is primarily responsible for transporting molecules from the underground root system to the aboveground parts of the plant body. In order to understand the role that roots play in cotton growth and development, the components present in xylem sap must be elucidated. In this study, we used a shotgun HPLC-ESI-MS/MS proteomics approach to identify 455 peptides from the xylem sap of field-grown cotton plants at peak blooming stage. Of these peptides, 384 (84.4 %) were found to be secreted proteins and 320 (70.3 %) had special molecular functions. Based on Gene Ontology (GO) analysis, 348 peptides were annotated in terms of molecular function, biological process, and cellular localization, with 46.9 and 45.1 % being related to catalytic activity and binding activity, respectively. Many xylem sap-containing proteins were predicted to be involved in different phases of xylem differentiation including cell wall metabolism, secondary cell wall development and patterning, and programmed cell death. The identification of starch and sucrose hydrolyzing enzymes implicated the interaction between roots and aboveground parts on the aspect of carbohydrate metabolism. Many of the proteins identified in this study are involved in defense mechanisms including pathogen-related proteins, such as peroxidases, chitinases, and germin-like proteins, proteases involved in disease resistance, and phytoalexin phenylpropanoid synthesis-related proteins. The majority of identified signaling proteins were fasciclin-like arabinogalactan proteins and kinases. The results of this study provide useful insight into the communication mechanisms between cotton roots and the rest of the cotton plant. [ABSTRACT FROM AUTHOR]

The role of microRNAs (miRNAs) during cotton fiber development remains unclear. Here, a total of 54 miRNAs belonging to 39 families were selected to characterize miRNA regulatory mechanism in eight different fiber development stages in upland cotton cv BM-1. Among 54 miRNAs, 18 miRNAs were involved in cotton fiber initiation and eight miRNAs were related to fiber elongation and secondary wall biosynthesis. Additionally, 3,576 protein-coding genes were candidate target genes of these miRNAs, which are potentially involved in cotton fiber development. We also investigated the regulatory network of miRNAs and corresponding targets in fiber initiation and elongation, and secondary wall formation. Our Gene Ontology-based term classification and KEGG-based pathway enrichment analyses showed that the miRNA targets covered 220 biological processes, 67 molecular functions, 45 cellular components, and 10 KEGG pathways. Three of ten KEGG pathways were involved in lignan synthesis, cell elongation, and fatty acid biosynthesis, all of which have important roles in fiber development. Overall, our study shows the potential regulatory roles of miRNAs in cotton fiber development and the importance of miRNAs in regulating different cell types. This is helpful to design miRNA-based biotechnology for improving fiber quality and yield. [ABSTRACT FROM AUTHOR]