Drought response of flax accessions and identification of quantitative trait nucleotides (QTNs) governing agronomic and root traits by genome-wide association analysis

Molecular Breeding - L-Ascorbic acid (AsA) is an important nutrient in non-heading Chinese cabbage (Brassica rapa ssp. chinensis). To understand the regulatory mechanism of AsA accumulation, we...     

Genomic regions underlying agronomic traits in linseed （Linum usitatissimum L.） as revealed by association mapping

The extreme climate of the Canadian Prairies poses a major chal enge to improve yield. Although it is possible to breed for yield per se, focusing on yield-related traits could be advantageous because of their simpler genetic architecture. The Canadian flax core col ection of 390 accessions was genotyped with 464 simple sequence repeat markers, and phenotypic data for nine agronomic traits including yield, bol s per area, 1,000 seed weight, seeds per bol , start of flowering, end of flowering, plant height, plant branching, and lodging col ected from up to eight environments was used for association mapping. Based on a mixed model （principal component analysis （PCA） t kinship matrix （K））, 12 significant marker-trait associations for six agronomic traits were identi-fied. Most of the associations were stable across environments as revealed by multivariate analyses. Statistical simulation for five markers associated with 1000 seed weight indicated that the favorable al eles have additive effects. None of the modern cultivars carried the five favorable al eles and the maximum number of four observed in any accessions was mostly in＆amp;nbsp;breeding lines. Our results confirmed the complex genetic architecture of yield-related traits and the inherent difficulties associated with their identification while il ustrating the potential for improvement through marker-assisted selection.     

An efficient marker-assisted backcrossing strategy for enhancing barley (Hordeum vulgare L.) production under acidity and aluminium toxicity

To feed the predicted extra two billion people by 2050, crop production must increase on existing cultivated land at a rate that challenges our current capability. Acid soils and aluminium (Al³⁺) toxicity restrict productivity worldwide but also offer the greatest opportunity for increases in global food production. Our understanding of the physiology, genetic control and the identification of genomic regions underlying Al resistance in important staple crops has increased greatly over the past 20 years, enabling the application of molecular breeding. In this study, we report the application of an efficient marker-assisted backcrossing (MAB) strategy for the introgression of the HvAACT1 gene which confers Al resistance in barley (Hordeum vulgare L.). We conducted foreground and background selection using microsatellite (SSR) markers linked to HvAACT1 and SSR-based linkage maps, along with embryo rescue and a cost-effective DNA preparation method shortening the breeding cycle to ~18 months. The MAB strategy enabled the development of homozygous (BC₃F₂) Al-resistant lines with the smallest introgressed region and 98.7 % of the recurrent parent genome. The Al-resistant line yielded significantly more seeds (121 %) than its isogenic line in soil-based assays containing 12 % of Al saturation. This MAB strategy could be extended to other staple crops with similar molecular toolboxes, expanding their cultivation onto acid soils, and contributing to greater yield stability and food security, particularly in developing countries.     

Association mapping of seed quality traits using the Canadian flax (Linum usitatissimum L.) core collection

Key message

The identification of stable QTL for seed quality traits by association mapping of a diverse panel of linseed accessions establishes the foundation for assisted breeding and future fine mapping in linseed.

Abstract

Linseed oil is valued for its food and non-food applications. Modifying its oil content and fatty acid (FA) profiles to meet market needs in a timely manner requires clear understanding of their quantitative trait loci (QTL) architectures, which have received little attention to date. Association mapping is an efficient approach to identify QTL in germplasm collections. In this study, we explored the quantitative nature of seed quality traits including oil content (OIL), palmitic acid, stearic acid, oleic acid, linoleic acid (LIO) linolenic acid (LIN) and iodine value in a flax core collection of 390 accessions assayed with 460 microsatellite markers. The core collection was grown in a modified augmented design at two locations over 3 years and phenotypic data for all seven traits were obtained from all six environments. Significant phenotypic diversity and moderate to high heritability for each trait (0.73–0.99) were observed. Most of the candidate QTL were stable as revealed by multivariate analyses. Nine candidate QTL were identified, varying from one for OIL to three for LIO and LIN. Candidate QTL for LIO and LIN co-localized with QTL previously identified in bi-parental populations and some mapped nearby genes known to be involved in the FA biosynthesis pathway. Fifty-eight percent of the QTL alleles were absent (private) in the Canadian cultivars suggesting that the core collection possesses QTL alleles potentially useful to improve seed quality traits. The candidate QTL identified herein will establish the foundation for future marker-assisted breeding in linseed.     

Identifying Novel Polymorphic Microsatellites from Cultivated Flax (Linum usitatissimum L.) Following Data Mining

One of the major concerns in genetic characterization and breeding of cultivated flax is the lack of informative microsatellite markers (SSRs). In this regard, the development of SSRs using molecular methods might be time-consuming, laborious, and expensive. On the other hand, using bioinformatics to mine sequences in public databases enables a cost-effective discovery of SSRs. A total of 3,242 Linum usitatissimum genomic sequences were surveyed for the identification of SSRs. Among them, 118 non-redundant sequences containing repeats were selected for designing primers. The most abundant motifs were tri- (72.4%) and dinudeotide (16.6%), within which AGG/CCT and AG/CT were predominant. Primers were tested for polymorphism in 60 L. usitatissimum cultivars/accessions including 57 linseed and three fiber flax. Eighty-eight pairs gave amplifications within the expected size range while 60 pairs were found to be polymorphic. The mean number of alleles amplified per primer was 3.0 (range, 2–8; 180 total alleles). The mean polymorphism information content (PIC) value was 0.39 (range, 0.06–0.87), and the highest average PIC was observed in dinucleotide SSRs (0.41). The SSR data mining presented here demonstrates the usefulness of in silico development of microsatellites. These novel genomic SSR markers could be used in genetic diversity studies, the development of genetic linkage maps, quantitative trait loci mapping, association mapping, and marker-assisted selection.     

Outlier Loci and Selection Signatures of Simple Sequence Repeats (SSRs) in Flax (Linum usitatissimum L.)

Genomic microsatellites (gSSRs) and expressed sequence tag-derived SSRs (EST-SSRs) have gained wide application for elucidating genetic diversity and population structure in plants. Both marker systems are assumed to be selectively neutral when making demographic inferences, but this assumption is rarely tested. In this study, three neutrality tests were assessed for identifying outlier loci among 150 SSRs (85 gSSRs and 65 EST-SSRs) that likely influence estimates of population structure in three differentiated flax sub-populations (F _ST?=?0.19). Moreover, the utility of gSSRs, EST-SSRs, and the combined sets of SSRs was also evaluated in assessing genetic diversity and population structure in flax. Six outlier loci were identified by at least two neutrality tests showing footprints of balancing selection. After removing the outlier loci, the STRUCTURE analysis and the dendrogram topology of EST-SSRs improved. Conversely, gSSRs and combined SSRs results did not change significantly, possibly as a consequence of the higher number of neutral loci assessed. Taken together, the genetic structure analyses established the superiority of gSSRs to determine the genetic relationships among flax accessions, although the combined SSRs produced the best results. Genetic diversity parameters did not differ statistically (P?>?0.05) between gSSRs and EST-SSRs, an observation partially explained by the similar number of repeat motifs. Our study provides new insights into the ability of gSSRs and EST-SSRs to measure genetic diversity and structure in flax and confirms the importance of testing for the occurrence of outlier loci to properly assess natural and breeding populations, particularly in studies considering only few loci.     

SSR-based population structure, molecular diversity and linkage disequilibrium analysis of a collection of flax (Linum usitatissimum L.) varying for mucilage seed-coat content

Flax seed mucilage (SM) presents specific biological activities useful for the food and pharmaceutical industries. Understanding the population structure, genetic diversity and linkage disequilibrium (LD) of germplasm varying for mucilage content is pivotal for the identification of genes and quantitative trait loci underlying mucilage variation by association mapping (AM). In this study, 150 microsatellite loci were used to assess the population structure, genetic diversity and LD of a set of 60 flax cultivars/accessions capturing the breadth of SM variation in flax germplasm. STRUCTURE analysis and similarity-based methods revealed the presence of three populations reflecting mainly their geographic origins (South Asia, South America and North America), and the impact of germplasm exchange within and between North American flax breeding programs. Analysis of molecular variance showed that 78.32% of the genetic variation resided within populations and 21.68% among populations. The phi-statistic (??_st) value of 0.22 confirmed the presence of a strong population structure. A total of 408 alleles were detected, with the South American population capturing the highest overall diversity. However, the genetic diversity was narrow, as indicated by the small number of alleles per locus (2.72) and gene diversity (mean?=?0.34). LD was significant between 3.9% (r ²) and 36.2% (D??) of the loci pairs (FDR?<?0.05). The mean r ² and D?? were 0.26 and 0.53, respectively. The results suggest that the collection could be useful in AM studies aimed at the discovery of genes/alleles involved in SM; however a greater diversity may be required to improve the AM resolution.