Identification of QTLs and Putative Candidate Gene Involved in Rhizome Enlargement of Asian lotus (Nelumbo Nucifera)

Lotus (Nelumbo) is perennial aquatic plant with nutritional, pharmacological, and ornamental significance. Rhizome is an underground lotus stem that act as a storage organ and as a reproductive tissue for asexual production. The enlargement of lotus rhizome is an important adaptive strategy for surviving the cold winter. The aims of this study were to identify quantitative trait loci (QTLs) for rhizome enlargement traits including rhizome enlargement index (REI) and number of enlarged rhizome (NER), and to uncover candidate genes associated with these phenotypic traits. A high-density genetic linkage map was constructed, consisting of 2,935 markers binned from 236,840 SNPs. A total of 14 significant QTLs were detected for REI and NER, which explained 6.67–22.28% of trait variance. Three QTL regions were repeatedly identified in at least two years, and a major QTL, designated cqREI-LG2, with a rhizome-enlargement effect and about 20% of the phenotypic contribution was identified across the three climatic years. A candidate NnBEL6 gene located within the confidence interval of cqREI-LG2 was considered to be putatively involved in lotus rhizome enlargement. The expression of NnBEL6 was exclusively induced by rhizome swelling. Sequence comparison of NnBEL6 among lotus varieties revealed a functional Indel site in its promoter that likely initiates the rhizome enlargement process. Transgenic potato assay was used to confirm the role of NnBEL6 in inducing tuberization. The successful identification QTLs and functional validation of NnBEL6 gene reported in this study will enrich our knowledge on the genetic basis of rhizome enlargement in lotus.

QTL Mapping for Pumpkin Fruit Traits Using a GBS-based High-density Genetic Map

Pumpkin is a popular vegetable crop and exhibits a broad diversity in fruit shape and size. Fruit-related traits are the decisive factors determining consumer acceptance and market value of pumpkin cultivar. As a result, deciphering the genetic basis of fruit-related traits is of great importance for pumpkin breeding. To address this problem, a F2 population was generated by two Cucurbita moschata inbred lines with contrasting fruit shapes and genotyping-by-sequencing approach were used to construct a high-density genetic map and localize the QTLs underlying the fruit-related traits in this study. The results showed that a high-quality genetic map was constructed for pumpkin, which comprised of 2413 bins and spanned a total length of 2252.10 cM with an average genetic distance of 0.94 cM. A total of 30 significant QTLs with moderate or small effects were identified for 7 fruit-related traits, including fruit length, fruit diameter, fruit shape index, fruit weight, fruit flesh thickness, seed cavity size, and total soluble solids content. Co-locations and close locations were observed between the QTLs underlying different traits, demonstrating that pleiotropic effect plays an important role in genetic control of fruit-related traits. The identified QTLs provide valuable information for further fine mapping of the related genes and pumpkin breeding programs with the aim of improving fruit quality.

E-index Method for Identifying Dynamic Growth Traits of Poplar

To detect the mechanism of growth, volume is important to uncover the genetic basis of dynamic complex quantitative traits. Unfortunately, it is difficult to construct the unique simple growth curve to accurately describe the growth process of all trees by the conventional GWAS based on the functional mapping method, which reduces the power of statistics for the growth model. To address this issue, this work adopted a novel approach about the Earliness degree index (E-index). First, it adopted the method of spline interpolation to fit the growth data to acquire the growth curves for each tree. Second, an innovative calculation model based on E-index was used to measure the earliness degree for each growth curve and to identify the potential relationship between QTL effects and traits by a series of hypothesis tests. Besides, a permutation test could be used to estimate the threshold for p values and to screen out significant QTLs from SNPs related to the growth process. To verify the validity and practicability of our model, we applied this method on the data about the volumes of 64 poplar trees chosen randomly from the progeny of two poplar species I-69 and I-45 with 156362 single nucleotide polymorphisms (SNPs). Through the E-index method, 13 significant markers were identified for testcross and 10 for intercross related to the growth process. Overall, this study could help elucidate the underlying genetic mechanisms of complex dynamic traits and perform marker-assisted selection in poplar.

Mapping QTLs for Breast Muscle Weight in an F2 Intercross between Native Japanese Nagoya and White Plymouth Rock Chicken Breeds

Nagoya (NAG), a native Japanese chicken breed, has high quality meat but low meat yield, whereas White Plymouth Rock (WPR), a parental breed of commercial broilers, has rapid growth but high body fat. We previously reported three quantitative trait loci (QTLs) for early postnatal growth in 239 F2 chickens between NAG and WPR breeds. In this study, using the same F2 chickens at 4 weeks of age, we performed genome-wide QTL analysis for breast muscle weight, fat weight and serum and liver levels of biochemical parameters. Two significant QTLs for pectoralis minor and/or major weights were revealed on chromosome 2 between 108 Mb and 127 Mb and chromosome 4 between 10 Mb and 68 Mb. However, no QTL for the other traits was detected. The two QTLs explained 7.0–11.1% of the phenotypic variances, and their alleles derived from WPR increased muscle weights. The chromosome 2 QTL may be a novel locus, whereas the chromosome 4 QTL coincided with a known QTL for meat quality. The findings provide information that is beneficial for genetic improvement of meat yield for the lean NAG breed and, furthermore, provide a better understanding of the genetic basis of chicken muscle development.

Identification of QTLs for Seed Yield and Yield-Related Traits in Brassica Napus Grown with Contrasting Nitrogen Supplies

Oilseed rape (Brassica napus L.; B. napus) is the main oil crop in China as well as in the world. Nitrogen (N) deficiency significantly reduces the seed yield of B. napus. However, a very few studies involved in the genetic mechanism of seed yield (SY) and SY-related traits of B. napus in response to N deficiency. In this study, plant height (PH), branch number (BN), pod number (PN), seed number (SN), 1000-seed weight (SW) and SY were investigated using a B. napus double haploid (BnaTNDH) population derived from a cross between cultivars ‘Tapidor’ and ‘Ningyou7’ grown at an optimal (ON) and a low N (LN) supplies in three-year field trials. Great variations of SY and related traits were observed in BnaTNDH population under contrasting N supplies. A total of 106 and 110 significant quantitative trait loci (QTLs) were detected for six traits at ON and LN in three field trials, respectively. All of these significant QTLs for the same trait were integrated into 191 consensus QTLs. Nine and eleven consensus QTLs at ON and LN were detected in two or three trials, respectively, and the remaining were environment-specific. One hundred and three unique QTLs were integrated from 191 consensus QTLs, including 29 low N specific QTLs, 35 optimal N specific QTLs and 39 constitutive QTLs. uqA3q was integrated from four consensus QTLs for PN, PH, SN, SY at LN, uqC9f was integrated from consensus QTLs for BN, SY, PN at ON and LN. Both were detected in three trials. This result may help to better understand the genetic mechanism of yield traits in response to low N and promote the breeding of N efficient varieties.

Genetic Analyses of Epigenetic Predictors that Estimate Aging, Metabolic Traits, and Lifespan

DNA methylation (DNAm) clocks are accurate molecular biomarkers of aging. However, the clock mechanisms remain unclear. Here, we used a pan-mammalian microarray to assay DNAm in liver from 339 predominantly female mice belonging to the BXD family. We computed epigenetic clocks and maximum lifespan predictor (predicted-maxLS), and examined associations with DNAm entropy, diet, weight, metabolic traits, and genetic variation. The epigenetic age acceleration (EAA) derived from the clocks, and predicted-maxLS were correlated with lifespan of the BXD strains. Quantitative trait locus (QTL) analyses uncovered significant QTLs on chromosome (Chr) 11 that encompasses the Erbb2/Her2 oncogenic region, and on Chr19 that contains a cytochrome P450 cluster. Both loci harbor candidate genes associated with EAA in humans (STXBP4, NKX2-3, CUTC). Transcriptome and proteome analyses revealed enrichment in oxidation-reduction, metabolic, and mitotic genes. Our results highlight loci that are concordant in human and mouse, and demonstrate intimate links between metabolism, body weight, and epigenetic aging.

QTL Mapping and Phenotypic Variation for Seedling Vigour Traits in Barley (Hordeum vulgare L.)

Seed vigour is considered a critical stage for barley production, and cultivars with early seedling vigour (ESV) facilitate rapid canopy formation. In this study, QTLs for 12 ESV-related traits were mapped using 185 RILs derived from a Xena x H94061120 evaluated across six independent environments. DArT markers were used to develop a genetic map (1075.1 cM; centimorgans) with an average adjacent-marker distance of 3.28 cM. In total, 46 significant QTLs for ESV-related traits were detected. Fourteen QTLs for biomass yield were found on all chromosomes, two of them co-localized with QTLs on 1H for grain yield. The related traits: length of the first and second leaves and dry weight of the second leaf, biomass yield and grain yield, had high heritability (>30%). Meanwhile, a significant correlation was observed between grain yield and biomass yield, which provided a clear image of these traits in the selection process. Our results demonstrate that a pleiotropic QTL related to the specific leaf area of the second leaf, biomass yield, and grain yield was linked to the DArT markers bPb-9280 and bPb-9108 on 1H, which could be used to significantly improve seed vigour by marker-assisted selection and facilitate future map-based cloning efforts.

A Major and Stable Quantitative Trait Locus qSS2 for Seed Size and Shape Traits in a Soybean RIL Population

Seed size and shape traits are important determinants of seed yield and appearance quality in soybean [Glycine max (L.) Merr.]. Understanding the genetic architecture of these traits is important to enable their genetic improvement through efficient and targeted selection in soybean breeding, and for the identification of underlying causal genes. To map seed size and shape traits in soybean, a recombinant inbred line (RIL) population developed from K099 (small seed size) × Fendou 16 (large seed size), was phenotyped in three growing seasons. A genetic map of the RIL population was developed using 1,485 genotyping by random amplicon sequencing-direct (GRAS-Di) and 177 SSR markers. Quantitative trait locus (QTL) mapping was conducted by inclusive composite interval mapping. As a result, 53 significant QTLs for seed size traits and 27 significant QTLs for seed shape traits were identified. Six of these QTLs (qSW8.1, qSW16.1, qSLW2.1, qSLT2.1, qSWT1.2, and qSWT4.3) were identified with LOD scores of 3.80–14.0 and R2 of 2.36%–39.49% in at least two growing seasons. Among the above significant QTLs, 24 QTLs were grouped into 11 QTL clusters, such as, three major QTLs (qSL2.3, qSLW2.1, and qSLT2.1) were clustered into a major QTL on Chr.02, named as qSS2. The effect of qSS2 was validated in a pair of near isogenic lines, and its candidate genes (Glyma.02G269400, Glyma.02G272100, Glyma.02G274900, Glyma.02G277200, and Glyma.02G277600) were mined. The results of this study will assist in the breeding programs aiming at improvement of seed size and shape traits in soybean.

Genome survey and high-resolution genetic map provide valuable genetic resources for Fenneropenaeus chinensis

Fenneropenaeus chinensis is one of the most important aquaculture species in China. Research on its genomic and genetic structure not only helps us comprehend the genetic basis of complex economic traits, but also offers theoretical guidance in selective breeding. In the present study, a genome survey sequencing was performed to generate a rough reference genome utilized for groping preliminary genome characteristics and facilitate linkage and quantitative trait locus (QTL) mapping. Linkage mapping was conducted using a reduced-representation sequencing method 2b-RAD. In total, 36,762 SNPs were genotyped from 273 progenies in a mapping family, and a high-resolution linkage map was constructed. The consensus map contained 12,884 markers and spanned 5257.81 cM with an average marker interval of 0.41 cM, which was the first high-resolution genetic map in F. chinensis to our knowledge. QTL mapping and association analysis were carried out in 29 characters including body size, sex and disease resistance. 87 significant QTLs were detected in several traits and they were also evaluated by association analysis. Results of this study provide us valuable suggestions in genetic improvement and breeding of new varieties and also lay a basic foundation for further application of cloning of economic genes in selective breeding program and marker-assisted selection.

Genomic Correlations Between the Gaits of Young Horses Measured by Accelerometry and Functional Longevity in Jumping Competition

Functional longevity is essential for the well-being of horses and the satisfaction of riders. Conventional selection using longevity breeding values calculated from competition results is not efficient because it takes too long to obtain reliable information. Therefore, the objective was to identify early criteria for selection. We assessed two types of early criteria: gait traits of young horses and QTLs. Thus, our aim was to estimate the genetic correlation between gait traits and longevity and to perform a genome-wide association study (GWAS) for longevity. Measurements of gaits by accelerometry were recorded on 1,477 show jumping horses that were 4 to 5 years old. Gait analysis provided 9 principal components describing trot, canter, and walk. Longevity estimated breeding values (EBVs) for stallions were calculated using a survival analysis of more than 900,000 years of performances by 179,448 show jumping horses born from 1981 onwards. Longevity was measured as the number of years spent in competition. Model included region and month of birth, age at first competition, year, and performance level. Longevity EBVs were deregressed to obtain weighted pseudo-performances for 1,968 stallions. Genomic data were available for 3,658 jumping horses. Seventy-eight percent of the horses measured for gaits and twenty-five percent of those measured for longevity were genotyped. A GWAS of longevity revealed no significant QTLs. Genetic parameters between each of the 9 principal components of the gait variables and longevity were evaluated with a bi-trait animal linear mixed model using single-step GBLUP analysis with the relationship matrix constructed from genomic data and genealogy (24,448 ancestors over four generations). The heritability of the gait traits varied from 0.11 to 0.44. The third principal component for trot (high lateral activity) and the first principal component for canter (high dorsoventral activity and low stride frequency) were moderately genetically correlated with higher longevity: rg = 0.38 (0.15) and 0.28 (0.13), respectively. Our study revealed that functional longevity is a polygenic trait with no major genes. We found new correlations between longevity and gait traits. Before using gait characteristics in a selection plan, these correlations need to be understood better at the biomechanical level.