Application of an Ovate Leaf Shape Model to Evaluate Leaf Bilateral Asymmetry and Calculate Lamina Centroid Location

Leaf shape is an important leaf trait, with ovate leaves common in many floras. Recently, a new leaf shape model (referred to as the MLRF equation) derived from temperature-dependent bacterial growth was proposed and demonstrated to be valid in describing leaf boundaries of many species with ovate leaf shape. The MLRF model’s parameters can provide valuable information of leaf shape, including the ratio of lamina width to length and the lamina centroid location on the lamina length axis. However, the model wasn’t tested on a large sample of a single species, thereby limiting its overall evaluation for describing leaf boundaries, for evaluating lamina bilateral asymmetry and for calculating lamina centroid location. In this study, we further test the model using data from two Lauraceae species, Cinnamomum camphora and Machilus leptophylla, with >290 leaves for each species. The equation was found to be credible for describing those shapes, with all adjusted root-mean-square errors (RMSE) smaller than 0.05, indicating that the mean absolute deviation is smaller than 5% of the radius of an assumed circle whose area equals lamina area. It was also found that the larger the extent of lamina asymmetry, the larger the adjusted RMSE, with approximately 50% of unexplained variation by the model accounted for by the lamina asymmetry, implying that this model can help to quantify the leaf bilateral asymmetry in future studies. In addition, there was a significant difference between the two species in their centroid ratio, i.e., the distance from leaf petiole to the point on the lamina length axis associated with leaf maximum width to the leaf maximum length. It was found that a higher centroid ratio does not necessarily lead to a greater investment of mass to leaf petiole relative to lamina, which might depend on the petiole pattern.

QTL-seq for the identification of candidate genes for days to flowering and leaf shape in pigeonpea

To identify genomic segments associated with days to flowering (DF) and leaf shape in pigeonpea, QTL-seq approach has been used in the present study. Genome-wide SNP profiling of extreme phenotypic bulks was conducted for both the traits from the segregating population (F2) derived from the cross combination- ICP 5529 × ICP 11605. A total of 126.63 million paired-end (PE) whole-genome resequencing data were generated for five samples, including one parent ICP 5529 (obcordate leaf and late-flowering plant), early and late flowering pools (EF and LF) and obcordate and lanceolate leaf shape pools (OLF and LLS). The QTL-seq identified two significant genomic regions, one on CcLG03 (1.58 Mb region spanned from 19.22 to 20.80 Mb interval) for days to flowering (LF and EF pools) and another on CcLG08 (2.19 Mb region spanned from 6.69 to 8.88 Mb interval) for OLF and LLF pools, respectively. Analysis of genomic regions associated SNPs with days to flowering and leaf shape revealed 5 genic SNPs present in the unique regions. The identified genomic regions for days to flowering were also validated with the genotyping-by-sequencing based classical QTL mapping method. A comparative analysis of the identified seven genes associated with days to flowering on 12 Fabaceae genomes, showed synteny with 9 genomes. A total of 153 genes were identified through the synteny analysis ranging from 13 to 36. This study demonstrates the usefulness of QTL-seq approach in precise identification of candidate gene(s) for days to flowering and leaf shape which can be deployed for pigeonpea improvement.

Morphological Characterization and Transcriptome Analysis of New Dwarf and Narrow-Leaf (dnl2) Mutant in Maize

Lodging is the primary factor limiting high yield under a high plant density. However, an optimal plant height and leaf shape can effectively decrease the lodging risk. Here we studied an ethyl methanesulfonate (EMS)-induced dwarf and a narrow-leaf mutant, dnl2. Gene mapping indicated that the mutant was controlled by a gene located on chromosome nine. Phenotypic and cytological observations revealed that dnl2 showed inhibited cell growth, altered vascular bundle patterning, and disrupted secondary cell wall structure when compared with the wild-type, which could be the direct cause of the dwarf and narrow-leaf phenotype. The phytohormone levels, especially auxin and gibberellin, were significantly decreased in dnl2 compared to the wild-type plants. Transcriptome profiling of the internodes of the dnl2 mutant and wild-type revealed a large number of differentially expressed genes enriched in the cell wall biosynthesis, remodeling, and hormone biosynthesis and signaling pathways. Therefore, we suggest that crosstalk between hormones (the altered vascular bundle and secondary cell wall structure) may contribute to the dwarf and narrow-leaf phenotype by influencing cell growth. These results provide a foundation for DNL2 gene cloning and further elucidation of the molecular mechanism of the regulation of plant height and leaf shape in maize.

Assessing the leaf shape dynamic through marker–trait association under drought stress in a rice germplasm panel

The flag leaf acts as a functional leaf in rice, Oryza sativa L., primarily supplying photosynthate to the developing grains and influencing yields to a certain extent. Drought stress damages the leaf physiology, severely affecting grain fertility. Autumn rice of northeast India is called locally as ‘ahu’ rice, and is known for its drought tolerance. Exploring diverse germplasm resources at the morphological level using an association mapping approach can aid in identifying the genomic regions influencing leaf shape dynamics. A marker–trait association (MTA) study was carried out using 95 polymorphic SSR markers and a panel of 273 ahu rice germplasm accessions in drought stress and irrigated conditions. The trials suggest that at the vegetative stage, drought stress significantly affects leaf morphology. The leaf physiology of some tolerant accessions was relatively little affected by stress and these can be considered as ideal varieties for drought conditions. The phenotypic coefficient of variance and genotypic coefficient of variance values implied moderate to high variability for the leaf traits studied. Analysis of molecular variance inferred that 11% of variation in the germplasm panel was due to differences between populations, while the remaining 89% may be attributed to a difference within subgroups formed through STRUCTURE analysis. Using the mixed linear model approach revealed 11 MTAs explaining between 4.5 and 20.0% of phenotypic variance at P > 0.001 for all the leaf traits. The study concludes that ahu rice germplasm is extremely diverse and can serve as a valuable resource for mining desirable alleles for drought tolerance.

​Advances in Breeding of Jackfruit Crop: A Review

The improvement of jackfruit is required to make it amenable for intensive cultivation and make it suitable for a variety of value-added products. There is a significant variation for various traits such as plant phenology, leaf shape, leaf size, fruit shape, fruit size, number of fruits per plant, flake colour, number of flakes per fruit etc. The jackfruit crop has long juvenility, high clonal heterozygosity, recalcitrant type of seeds make it difficult to improvement of jackfruit varieties or hybrids, but on the other hand ease of vegetative propagation of hybrids or varieties is advantageous for the jackfruit breeder. The development of jackfruit is again based on the selection of clones especially for small-sized quality fruits, dwarf, less gum type, disease and pest resistance etc. The detailed knowledge on phenology, inheritance pattern and advanced techniques for hybrid/variety development will be useful to overcome the problems of jackfruit breeding viz fruit size, gummier fruits, susceptibility to disease and pests etc. The development of genetic markers has further reduced the uncertainty in the breeding of jackfruit and maintains the hybrid/varietal populations with desirable characteristics.

Sistem Pendukung Keputusan Pemilihan Bibit Tanaman Karet Dengan Metode Profile Matching

PT. Asri Jaya had difficulty in selecting the best rubber plant seeds, both for direct planting in the plantations and recommending them to be marketed to rubber plantation companies, because the types of rubber plant seeds in the company had many varieties and varied as well as different ages of seeds. -different such as BPM seeds, IRR seeds, IRC, rubber frame seeds, GT (Gondang Tapen), PB seeds (Prang Besar), and so on. The alternatives used in this research are types of rubber plant seeds, namely BPM seeds (Balai/Pusat Perkebunan Medan, IRR (Indonesian Rubber Research) rubber seeds), IRC rubber seeds (Institute Research of Ceylon), frame rubber seeds, GT rubber seeds (Gondang Tapen) and PB (Prang Besar) rubber seedlings. The criteria used in this study were umbrella shape, petiole position, petiole shape, leaf color, leaf shape, leaf bone, leaf thickness, stem height, and seedling age. which is built using the programming language used in making the system is PHP with MySQL database. To calculate the total value, it must first determine the percentage of core factore and secondary factore. In this case the core factore is determined with a percentage value of 60% considering the main factor is an the most dominant aspect or criteria for assessing the selection of rubber plant seeds, the percentage value is greater than the pe value the percentage for the secondary factor is 40%.

Diversity of Morphological Traits and Glucosinolate Composition in Backcross Progenies of Brassica Rapa L. × Eruca Vesicaria (L.) Cav. Hybrids

Breeding at both interspecific and intergeneric levels is an effective method for expanding genetic variation of cruciferous crops; however, few commercially accepted varieties have been released because of difficulties in generating fertile progenies. We employed backcross strategy to introduce Eruca vesicaria-specific characteristics into Brassica rapa and successfully obtained four BC1F1 lines that showed a wide range of diversity of morphological traits and glucosinolate (GSL) composition. Thus, leaf shape, anthocyanin coloration, glucoraphanin content, and red petal veins were found to be inherited mainly from E. vesicaria, though most of the morphological characteristics and GSL composition were inherited from intergeneric F1 plants. Since all BC1F1 lines showed post-fertilization barriers, backcrossing with B. rapa was performed and BC2F1 progenies were successfully obtained, which showed diverse morphological characteristics and GSL composition as well as higher regeneration potential. These results suggest that widening of genetic diversity of B. rapa can be achieved through successive reciprocal backcrossing of B. rapa × E. vesicaria hybrids with B. rapa.

Directional Selection on Tree Seedling Traits Driven by Experimental Drought Differs Between Mesic and Dry Populations

We evaluated population differences and drought-induced phenotypic selection on four seedling traits of the Australian forest tree Eucalyptus pauciflora using a glasshouse dry-down experiment. We compared dry and mesic populations and tested for directional selection on lamina length (reflecting leaf size), leaf shape, the node of ontogenetic transition to the petiolate leaf (reflecting the loss of vegetative juvenility), and lignotuber size (reflecting a recovery trait). On average, the dry population had smaller and broader leaves, greater retention of the juvenile leaf state and larger lignotubers than the mesic population, but the populations did not differ in seedling survival. While there was statistical support for directional selection acting on the focal traits in one or other population, and for differences between populations in selection gradient estimates for two traits, only one trait—lamina length—exhibited a pattern of directional selection consistent with the observed population differences being a result of past adaptation to reduce seedling susceptibility to acute drought. The observed directional selection for lamina length in the mesic population suggests that future increases in drought risk in the wild will shift the mean of the mesic population toward that of the dry population. Further, we provide evidence suggesting an early age trade-off between drought damage and recovery traits, with phenotypes which develop larger lignotubers early being more susceptible to drought death. Such trade-offs could have contributed to the absence of population mean differences in survival, despite marked differentiation in seedling traits.

Functional random forests for curve response

The rapid advancement of functional data in various application fields has increased the demand for advanced statistical approaches that can incorporate complex structures and nonlinear associations. In this article, we propose a novel functional random forests (FunFor) approach to model the functional data response that is densely and regularly measured, as an extension of the landmark work of Breiman, who introduced traditional random forests for a univariate response. The FunFor approach is able to predict curve responses for new observations and selects important variables from a large set of scalar predictors. The FunFor approach inherits the efficiency of the traditional random forest approach in detecting complex relationships, including nonlinear and high-order interactions. Additionally, it is a non-parametric approach without the imposition of parametric and distributional assumptions. Eight simulation settings and one real-data analysis consistently demonstrate the excellent performance of the FunFor approach in various scenarios. In particular, FunFor successfully ranks the true predictors as the most important variables, while achieving the most robust variable sections and the smallest prediction errors when comparing it with three other relevant approaches. Although motivated by a biological leaf shape data analysis, the proposed FunFor approach has great potential to be widely applied in various fields due to its minimal requirement on tuning parameters and its distribution-free and model-free nature. An R package named ’FunFor’, implementing the FunFor approach, is available at GitHub.

Pontin/Reptin-associated complexes differentially impact plant development and viral pathology

Pontin and Reptin are essential eukaryotic AAA+ ATPases that work together in several multiprotein complexes, contributing to chromatin remodeling and TARGET OF RAPAMCYIN (TOR) kinase complex assembly, among other functions. Null alleles of pontin or reptin are gametophyte lethal in plants, which has hindered studies of their crucial roles in plant biology. Here, we used virus-induced gene silencing (VIGS) to interrogate the functions of Pontin and Reptin in plant growth and physiology, focusing on Nicotiana benthamiana, a model species for the agriculturally significant Solanaceae family. Silencing either Pontin or Reptin caused pleiotropic developmental and physiological reprogramming, including aberrant leaf shape, reduced apical growth, delayed flowering, increased branching, chlorosis, and decreased spread of the RNA viruses Tobacco mosaic virus (TMV) and Potato virus X (PVX). To dissect these pleiotropic phenotypes, we took a comparative approach and silenced expression of key genes that encode subunits of each of the major Pontin/Reptin-associated chromatin remodeling or TOR complexes (INO80, SWR-C/PIE1, TIP60, TOR, and TELO2). We found that many of the pontin/reptin phenotypes could be attributed specifically to disruption of one of these complexes, with tip60 and tor knockdown plants each phenocopying a large subset of pontin/reptin phenotypes. We conclude that Pontin/Reptin complexes are crucial for proper plant development, physiology, and stress responses, highlighting the multifaceted roles these conserved enzymes have evolved in eukaryotic cells.