Natural variation in Brassica FT homeologs influences multiple agronomic traits including flowering time, silique shape, oil profile, stomatal morphology and plant height in B. juncea

Geographic-genomic and geographic-phenotypic differentiation of the Aquilegia viridiflora complex

How species diverge into different lineages is a central issue in evolutionary biology. Despite the increasing evidence indicating that such divergences do not need geographic isolation, the correlation between lineage divergence and the adaptive ecological divergence of phenotype corresponding to distribution is still unknown. In addition, gene flow has been widely detected during and through such diverging processes. We used one widely distributed Aquilegia viridiflora complex as a model system to examine genomic differentiation and corresponding phenotypic variations along geographic gradients. Our phenotypic analyses of 20 populations from northwest to northeast China identified two phenotypic groups along the geographic cline. All examined traits are distinct from each other, although a few intermediate individuals occur in their contacting regions. We further sequenced the genomes of representative individuals of each population. However, four distinct genetic lineages were detected based on nuclear genomes. In particular, we recovered numerous genetic hybrids in the contact regions of four lineages. Gene flow is widespread and continuous between four lineages but much higher between contacting lineages than geographically isolated lineages. Gene flow and natural selection might result in inconsistency between heredity and phenotype. Moreover, many genes with fast lineage-specific mutations were identified to be involved in local adaptation. Our results suggest that both geographic isolation and local selection exerted by the environment and pollinators may together create geographic distributions of phenotypic variations as well as the underlying genomic divergences in numerous lineages.

Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation

Silique morphology is an important trait that determines the yield output of oilseed rape (Brassica napus L.). Segmenting siliques and quantifying traits are challenging because of the complicated structure of an oilseed rape plant at the reproductive stage. This study aims to develop an accurate method in which a skeletonization algorithm was combined with the hierarchical segmentation (SHS) algorithm to separate siliques from the whole plant using 3-dimensional (3D) point clouds. We combined the L1-median skeleton with the random sample consensus for iteratively extracting skeleton points and optimized the skeleton based on information such as distance, angle, and direction from neighborhood points. Density-based spatial clustering of applications with noise and weighted unidirectional graph were used to achieve hierarchical segmentation of siliques. Using the SHS, we quantified the silique number (SN), silique length (SL), and silique volume (SV) automatically based on the geometric rules. The proposed method was tested with the oilseed rape plants at the mature stage grown in a greenhouse and field. We found that our method showed good performance in silique segmentation and phenotypic extraction with R ² values of 0.922 and 0.934 for SN and total SL, respectively. Additionally, SN, total SL, and total SV had the statistical significance of correlations with the yield of a plant, with R values of 0.935, 0.916, and 0.897, respectively. Overall, the SHS algorithm is accurate, efficient, and robust for the segmentation of siliques and extraction of silique morphological parameters, which is promising for high-throughput silique phenotyping in oilseed rape breeding.

MicroRNA-mediated regulation of agronomically important seed traits: a treasure trove with shades of grey!

Seed development is an intricate process with multiple levels of regulation. MicroRNAs (miRNAs) have emerged as one of the crucial components of molecular networks underlying agronomically important seed traits in diverse plant species. In fact, loss of function of the genes regulating miRNA biogenesis also exhibits defects in seed development. A total of 21 different miRNAs have experimentally been shown to regulate seed size, nutritional content, vigor, and shattering, and have been reviewed here. The mechanism details of the associated regulatory cascades mediated through transcriptional regulators, phytohormones, basic metabolic machinery, and secondary siRNAs are elaborated. Co-localization of miRNAs and their target regions with seed-related QTLs provides new avenues for engineering these traits using conventional breeding programs or biotechnological interventions. While global analysis of miRNAs using small RNA sequencing studies are expanding the repertoire of candidate miRNAs, recent revelations on their inheritance, transport, and mechanism of action would be instrumental in designing better strategies for optimizing agronomically relevant seed traits.

Effects of interstocks on growth and photosynthetic characteristics in 'Yuanxiaochun' Citrus seedlings

To obtain the compatibility of interstocks crossing with 'Yuanxiaochun', we performed a comparative analysis with five interstocks. From the 60th to 240th day after grafting, there was a significant difference between different treatments. All the new shoot/interstock diameter ratios were <1, indicating that there was no obvious phenomenon of small feet in 'Yuanxiaochun' seedlings of five kinds of interstocks. The density of 'Yuanxiaochun' was significantly different. Chl a, Chl b, T-Chl content of 'Shiranuhi', 'Harumi', 'Tarocco' changed greatly from the 90th to 120th day after grafting. The intercellular CO2 concentration (Ci) of 'Shiranuhi' was significantly higher than the other interstocks. In addition, when 'Yuanxiaochun' was grafted onto 'Shiranuhi', net photosynthetic rate (Pn), stomatal conductance (gs) and tanspiration rate (Tr) were higher. When 'Harumi' were used as the interstocks of 'Yuanxiaochun', the light saturation point (LSP) value was larger, which was conducive to the utilisation of strong light. Moreover, the value of LSP-LCP (LCP, light compensation point) of 'Harumi' and 'Tarocco' were significantly higher than the other three interstocks. The apparent quantum efficiency (AQE), RuBP maximum regeneration rate (Jmax) and maximum carboxylation efficiency of Rubisco (Vcmax) value of 'Shiranuhi' was significantly lower than that of 'Ponkan'. The CO2 compensation point (CCP) of 'Harumi' interstock was lower, but the CO2 saturation point (CSP) of 'Tarocco' interstock was higher than those of other interstocks respectively. There was a small difference in initial fluorescence (F0) of different interstocks. The maximal photochemical efficiency of PSII in the dark (Fv/Fm) of 'Kumquat' was the lowest. In addition, Both Y(II) and ETR values of the 'Yuanxiaochun' leaves of 'Ponkan' interstock was the largest one. However, the non-photochemical quenching (qN) of 'Ponkan' was significantly lower, and that of 'Tarocco' interstock was the highest one. Interstocks have different effect on the growth and development, photosynthetic characteristics related to physiological characteristics of 'Yuanxiaochun' trees. 'Ponkan' and 'Kumquat' as the interstock of 'Yuanxiaochun' was more conducive to the rapid accumulation of photosynthetic products for normal vegetative and reproductive growth of plants.

GWAS hints at pleiotropic roles for FLOWERING LOCUS T in flowering time and yield-related traits in canola

Background

Transition to flowering at the right time is critical for local adaptation and to maximize grain yield in crops. Canola is an important oilseed crop with extensive variation in flowering time among varieties. However, our understanding of underlying genes and their role in canola productivity is limited.

Results

We report our analyses of a diverse GWAS panel (300–368 accessions) of canola and identify SNPs that are significantly associated with variation in flowering time and response to photoperiod across multiple locations. We show that several of these associations map in the vicinity of FLOWERING LOCUS T (FT) paralogs and its known transcriptional regulators. Complementary QTL and eQTL mapping studies, conducted in an Australian doubled haploid population, also detected consistent genomic regions close to the FT paralogs associated with flowering time and yield-related traits. FT sequences vary between accessions. Expression levels of FT in plants grown in field (or under controlled environment cabinets) correlated with flowering time. We show that markers linked to the FT paralogs display association with variation in multiple traits including flowering time, plant emergence, shoot biomass and grain yield.

Conclusions

Our findings suggest that FT paralogs not only control flowering time but also modulate yield-related productivity traits in canola.

Electronic supplementary material

The online version of this article (10.1186/s12864-019-5964-y) contains supplementary material, which is available to authorized users.