QTL analysis of four main stem bark traits using a GBS-SNP-based high-density genetic map in ramie

High-resolution quantitative trait locus mapping for rice grain quality traits using genotyping by sequencing

Rice is a major food crop that sustains approximately half of the world population. Recent worldwide improvements in the standard of living have increased the demand for high-quality rice. Accurate identification of quantitative trait loci (QTLs) for rice grain quality traits will facilitate rice quality breeding and improvement. In the present study, we performed high-resolution QTL mapping for rice grain quality traits using a genotyping-by-sequencing approach. An F₂ population derived from a cross between an elite japonica variety, Koshihikari, and an indica variety, Nona Bokra, was used to construct a high-density genetic map. A total of 3,830 single nucleotide polymorphism markers were mapped to 12 linkage groups spanning a total length of 2,456.4 cM, with an average genetic distance of 0.82 cM. Seven grain quality traits-the percentage of whole grain, percentage of head rice, percentage of area of head rice, transparency, percentage of chalky rice, percentage of chalkiness area, and degree of chalkiness-of the F₂ population were investigated. In total, 15 QTLs with logarithm of the odds (LOD) scores >4 were identified, which mapped to chromosomes 6, 7, and 9. These loci include four QTLs for transparency, four for percentage of chalky rice, four for percentage of chalkiness area, and three for degree of chalkiness, accounting for 0.01%-61.64% of the total phenotypic variation. Of these QTLs, only one overlapped with previously reported QTLs, and the others were novel. By comparing the major QTL regions in the rice genome, several key candidate genes reported to play crucial roles in grain quality traits were identified. These findings will expedite the fine mapping of these QTLs and QTL pyramiding, which will facilitate the genetic improvement of rice grain quality.

Genetic insights into the crude protein and fiber content of ramie leaves

Ramie (Boehmeria nivea L.) is a perennial plant with vigorously vegetative growth and high nutritive value that is an excellent source of green feed in China. Crude protein and fiber content are the most important traits associated with ramie forage quality; however, their genetic basis remains largely unknown. In this study, we investigated the genetic architecture of these two traits using an F₂ population derived from cultivated Zhongsizhu 1 (ZSZ1) and wild Boehmeria nivea var. tenacissima (tenacissima). Linkage mapping identified eight quantitative trait loci (QTLs) in crude fiber and one QTL in crude protein. Of these, five were further validated by association analysis. Then, two major QTLs for crude fiber content, CF7 and CF13, were further identified using bulked segregant analysis (BSA) sequencing, and their exact physical intervals were determined via genotype analysis of F₂ progenies with extremely low crude fiber content. In total, 10 genes in the CF7 and CF13 regions showed differential expression in ZSZ1 and tenacissima leaves, including an MYB gene whole_GLEAN_10016511 from the CF13 region. Wide variation was observed in the promoter regions of whole_GLEAN_10016511, likely responsible for its downregulated expression in tenacissima. Interestingly, more fiber cells were observed in Arabidopsis with overexpression of whole_GLEAN_10016511, indicating that the downregulated expression of this gene could have an association with the relatively low fiber content in wild tenacissima. These results provided evidence that whole_GLEAN_10016511 is a logical candidate for CF13. This study provides important insights into the genetic basis underlying ramie crude protein and fiber content, and it presents genetic loci for improving the forage quality of ramie using marker-assisted selection.

Improving Drought Stress Tolerance in Ramie (Boehmeria nivea L.) Using Molecular Techniques

Ramie is one of the most significant fiber crops and contributes to good quality fiber. Drought stress (DS) is one of the most devastating abiotic factors which is accountable for a substantial loss in crop growth and production and disturbing sustainable crop production. DS impairs growth, plant water relation, and nutrient uptake. Ramie has evolved a series of defense responses to cope with DS. There are numerous genes regulating the drought tolerance (DT) mechanism in ramie. The morphological and physiological mechanism of DT is well-studied; however, modified methods would be more effective. The use of novel genome editing tools like clustered regularly interspaced short palindromic repeats (CRISPR) is being used to edit the recessive genes in crops to modify their function. The transgenic approaches are used to develop several drought-tolerant varieties in ramie, and further identification of tolerant genes is needed for an effective breeding plan. Quantitative trait loci (QTLs) mapping, transcription factors (TFs) and speed breeding are highly studied techniques, and these would lead to the development of drought-resilient ramie cultivars. The use of hormones in enhancing crop growth and development under water scarcity circumstances is critical; however, using different concentrations and testing genotypes in changing environments would be helpful to sort the tolerant genotypes. Since plants use various ways to counter DS, investigating mechanisms of DT in plants will lead to improved DT in ramie. This critical review summarized the recent advancements on DT in ramie using novel molecular techniques. This information would help ramie breeders to conduct research studies and develop drought tolerant ramie cultivars.

Resequencing of 301 ramie accessions identifies genetic loci and breeding selection for fibre yield traits

Ramie is an important fibre-producing crop in China; however, the genetic basis of its agronomic traits remains poorly understood. We produced a comprehensive map of genomic variation in ramie based on resequencing of 301 landraces and cultivars. Genetic analysis produced 129 signals significantly associated with six fibre yield-related traits, and several genes were identified as candidate genes for respective traits. Furthermore, we found that natural variations in the promoter region of Bnt14G019616 were associated with extremely low fibre abundance, providing the first evidence for the role of pectin methylesterase in fibre growth of plants. Additionally, nucleotide diversity analysis revealed that breeding selection has been markedly focussed on chromosome 9 in which ~ 39.6% sequence underwent selection, where one gibberellin-signalling-repressed DELLA gene showed distinct selection signatures in the cultivars. This study provides insights into the genetic architecture and breeding history of fibre yield traits in ramie. Moreover, the identification of fibre yield-related genetic loci and large-scale genomic variation represent valuable resources for genomics-assisted breeding of this crop.

Ubiquitylome analysis reveals the involvement of ubiquitination in the bast fiber growth of ramie

A total of 249 sites from 197 proteins showed a differential ubiquitination level in the fiber development of ramie barks. The function of two differentially ubiquitinated proteins for fiber growth was demonstrated. Ubiquitination is one of the most common post-translational modifications of proteins, and it plays essential roles in plant growth and development. However, the involvement of ubiquitination in the growth of plant fibers remains largely unknown. We compared the ubiquitylome of the top and middle stems of ramie bark, with different fiber growth stages. We identified 249 differentially ubiquitinated sites in 197 proteins in fiber-developing barks in the stems and found that seven were homologs of Arabidopsis proteins associated with fiber growth. Overexpression of the differentially ubiquitinated proteins, RWA3 homolog whole_GLEAN_10024150 and MYB protein whole_GLEAN_10015497, significantly promoted fiber growth in transgenic Arabidopsis, indicating their involvement in this process. We also found that the abundance of these proteins decreased when their ubiquitination levels increased and vice versa in the fiber-developing bark. These results indicated that the abundance of these two proteins was adjusted through ubiquitin-dependent degradation. Collectively, our findings provide important insights into the involvement of ubiquitination in the growth of ramie fibers.

Linkage mapping of quantitative trait loci for fiber yield and its related traits in the population derived from cultivated ramie and wild B. nivea var. tenacissima

Ramie is an important natural fiber crop, and the fiber yield and its related traits are the most valuable traits in ramie production. However, the genetic basis for these traits is still poorly understood, which has dramatically hindered the breeding of high yield in this fiber crop. Herein, a high-density genetic map with 6,433 markers spanning 2476.5 cM was constructed using a population derived from two parents, cultivated ramie Zhongsizhu 1 (ZSZ1) and its wild progenitor B. nivea var. tenacissima (BNT). The fiber yield (FY) and its four related traits—stem diameter (SD) and length (SL), stem bark weight (BW) and thickness (BT)—were performed for quantitative trait locus (QTL) analysis, resulting in a total of 47 QTLs identified. Forty QTLs were mapped into 12 genomic regions, thus forming 12 QTL clusters. Among 47 QTLs, there were 14 QTLs whose wild allele from BNT was beneficial. Interestingly, all QTLs in Cluster 10 displayed overdominance, indicating that the region of this cluster was likely heterotic loci. In addition, four fiber yield-related genes underwent positive selection were found either to fall into the FY-related QTL regions or to be near to the identified QTLs. The dissection of FY and FY-related traits not only improved our understanding to the genetic basis of these traits, but also provided new insights into the domestication of FY in ramie. The identification of many QTLs and the discovery of beneficial alleles from wild species provided a basis for the improvement of yield traits in ramie breeding.

Integration of Quantitative Trait Loci Mapping and Expression Profiling Analysis to Identify Genes Potentially Involved in Ramie Fiber Lignin Biosynthesis

Ramie fibers, one of the most important natural fibers in China, are mainly composed of lignin, cellulose, and hemicellulose. As the high lignin content in the fibers results in a prickly texture, the lignin content is deemed to be an important trait of the fiber quality. In this study, the genetic basis of the fiber lignin content was evaluated, resulting in the identification of five quantitative trait loci (QTLs). Three genes, whole_GLEAN_10021050, whole_GLEAN_10026962, and whole_GLEAN_10009464 that were identified on the QTL regions of qLC7, qLC10, and qLC13, respectively, were found to be homologs of the Arabidopsis lignin biosynthetic genes. Moreover, all three genes displayed differential expression in the barks located in the top and middle parts of the stem, where lignin was not being synthesized and where it was being biosynthesized, respectively. Sequence comparison found that these three genes had wide variations in their coding sequences (CDSs) and putative promoter regions between the two parents, especially the MYB gene whole_GLEAN_10021050, whose protein had insertions/deletions of five amino acids and substitutions of two amino acids in the conserved domain. This evidence indicates that these three genes are potentially involved in lignin biosynthesis in ramie fibers. The QTLs identified from this study provide a basis for the improvement of lignin content and fiber quality in ramie breeding. The characterization of the three candidate genes here will be helpful for the future clarification of their functions in ramie.

A genomic resource derived from the integration of genome sequences, expressed transcripts and genetic markers in ramie

Background

The redundancy of genomic resources, including transcript and molecular markers, and their uncertain position in the genome have dramatically hindered the study of traits in ramie, an important natural fiber crop.

Results

We obtained a high-quality transcriptome consisting of 30,591 non-redundant transcripts using single-molecule long-read sequencing and proposed it as a universal ramie transcriptome. Additionally, 55,882 single nucleotide polymorphisms (SNPs) were identified and a high-density genetic map was developed. Based on this genetic map, 181.7 Mb ramie genome sequences were assembled into 14 chromosomes. For the convenient use of these resources, 29,286 (~ 95.7%) of the transcripts and all 55,882 SNPs, along with 1827 previously reported sequence repeat markers (SSRs), were mapped into the ramie genome, and 22,343 (~ 73.0%) transcripts, 50,154 (~ 89.7%) SNPs, and 1466 (~ 80.3%) SSRs were assigned to a specific location in the corresponding chromosome.

Conclusion

This is the first study to characterize the ramie transcriptome by long-read sequencing, and the substantial number of transcripts of significant length obtained will accelerate our understanding of ramie growth and development. This integration of genome sequences, expressed transcripts, and genetic markers will provide an extremely useful resource for genetic, molecular, and breeding studies of ramie.

Electronic supplementary material

The online version of this article (10.1186/s12864-019-5878-8) contains supplementary material, which is available to authorized users.

A high-density genetic map of Schima superba based on its chromosomal characteristics

BACKGROUND

Schima superba (Theaceae) is a popular woody tree in China. The obscure chromosomal characters of this species are a limitation in the development of high-density genetic linkage maps, which are valuable resources for molecular breeding and functional genomics.

RESULTS

We determined the chromosome number and the karyotype of S. superba as 2n = 36 = 36 m, which is consistent with the tribe Schimeae (n = 18). A high-density genetic map was constructed using genotyping by sequencing (GBS). A F1 full-sib with 116 individuals and their parents (LC31 × JO32) were sequenced on the Illumina HiSeq™ platform. Overall, 343.3 Gb of raw data containing 1,191,933,474 paired-end reads were generated. Based on this, 99,966 polymorphic SNP markers were developed from the parents, and 2209 markers were mapped onto the integrated genetic linkage map after data filtering and SNP genotyping. The map spanned 2076.24 cM and was distributed among 18 linkage groups. The average marker interval was 0.94 cM. A total of 168 quantitative trait loci (QTLs) for 14 growth traits were identified.

CONCLUSIONS

The chromosome number and karyotype of S. superba was 2n = 36 = 36 m and a linkage map with 2209 SNP markers was constructed to identify QTLs for growth traits. Our study provides a basis for molecular-assisted breeding and genomic studies, which will contribute towards the future research and genetic improvement of S. superba.

Genome-Wide Association Studies of 11 Agronomic Traits in Cassava (Manihot esculenta Crantz)

Cassava (Manihot esculenta Crantz) is a major tuberous crop produced worldwide. In this study, we sequenced 158 diverse cassava varieties and identified 349,827 single-nucleotide polymorphisms (SNPs) and indels. In each chromosome, the number of SNPs and the physical length of the respective chromosome were in agreement. Population structure analysis indicated that this panel can be divided into three subgroups. Genetic diversity analysis indicated that the average nucleotide diversity of the panel was 1.21 × 10^-4 for all sampled landraces. This average nucleotide diversity was 1.97 × 10^-4, 1.01 × 10^-4, and 1.89 × 10^-4 for subgroups 1, 2, and 3, respectively. Genome-wide linkage disequilibrium (LD) analysis demonstrated that the average LD was about ∼8 kb. We evaluated 158 cassava varieties under 11 different environments. Finally, we identified 36 loci that were related to 11 agronomic traits by genome-wide association analyses. Four loci were associated with two traits, and 62 candidate genes were identified in the peak SNP sites. We found that 40 of these genes showed different expression profiles in different tissues. Of the candidate genes related to storage roots, Manes.13G023300, Manes.16G000800, Manes.02G154700, Manes.02G192500, and Manes.09G099100 had higher expression levels in storage roots than in leaf and stem; on the other hand, of the candidate genes related to leaves, Manes.05G164500, Manes.05G164600, Manes.04G057300, Manes.01G202000, and Manes.03G186500 had higher expression levels in leaves than in storage roots and stem. This study provides basis for research on genetics and the genetic improvement of cassava.