Rapid analysis of hydrogen cyanide in fresh cassava roots using NIRSand machine learning algorithms: Meeting end user demand for low cyanogenic cassava

Abstract

This study focuses on meeting end-users’ demand for cassava (Manihot esculenta Crantz) varieties with low cyanogenic potential (hydrogen cyanide potential [HCN]) by using near-infrared spectrometry (NIRS). This technology provides a fast, accurate, and reliable way to determine sample constituents with minimal sample preparation. The study aims to evaluate the effectiveness of machine learning (ML) algorithms such as logistic regression (LR), support vector machine (SVM), and partial least squares discriminant analysis (PLS-DA) in distinguishing between low and high HCN accessions. Low HCN accessions averagely scored 1–5.9, while high HCN accessions scored 6–9 on a 1–9 categorical scale. The researchers used 1164 root samples to test different NIRS prediction models and six spectral pretreatments. The wavelengths 961, 1165, 1403–1505, 1913–1981, and 2491 nm were influential in discrimination of low and high HCN accessions. Using selected wavelengths, LR achieved 100% classification accuracy and PLS-DA achieved 99% classification accuracy. Using the full spectrum, the best model for discriminating low and high HCN accessions was the PLS-DA combined with standard normal variate with second derivative, which produced an accuracy of 99.6%. The SVM and LR had moderate classification accuracies of 75% and 74%, respectively. This study demonstrates that NIRS coupled with ML algorithms can be used to identify low and high HCN accessions, which can help cassava breeding programs to select for low HCN accessions.

Genetic analysis and characterisation of Cmowf, a gene controlling the white petal colour phenotype in pumpkin (Cucurbita moschata D)

Abstract

Flower colour, as an important morphological marker, plays an essential role in improving the identification efficiency of the purity seed in hybrid production. However, the molecular mechanism of white-flower trait has not been reported in pumpkin (Cucurbita moschata D.). In this study, we obtained a white-flower mutant (wf) through the ethyl methane sulfonate (EMS) mutagenesis of inbred line N87 (yellow flower). F2 populations were then constructed by crossing wf mutant and N87 plant to fine map the genes controlling white-flower trait in pumpkin. Phenotypic identification revealed that carotenoid content significantly decreased in the petals of wf mutants compared with N87 plants. Genetic analysis indicated that the white flower mutant trait was controlled by a single recessive gene, Cmowf. Using bulked segregant analysis and KASP phenotyping, Cmowf was mapped to a 762 kb region on chromosome 14 containing three annotated genes. Among them, a nonsynonymous single-nucleotide polymorphisms mutation was identified only in CmoCh14G005820 gene, which encoded a DUF1997 family protein. Compared with CmoDUF1997 amino acid sequences between the wf mutants and N87 plants, the critical amino acid mutations (early termination of amino acids) occurred in wf mutants, so CmoCh14G005820 was predicted as a potential candidate for controlling the white-flower trait. RNA-sequencing analysis revealed that the expression of CmoCh14G005820 and most genes involved in carotenoid biosynthesis was significantly downregulated in wf mutants, whereas the expression of several genes responsible for carotenoid degradation was upregulated in wf mutants. This finding suggested that carotenoid metabolism may participate in the formation of flower colour in pumpkin. Overall, our results provided a theoretical basis for understanding the genetic mechanisms underlying white-flower formation in pumpkin.

QTL mapping of nitrogen use efficiency traits at the seedling and maturity stages under different nitrogen conditions in barley (Hordeum vulgare L.)

Abstract

Nitrogen (N) is an essential element for plant growth and development. The identification and utilization of N use efficiency (NUE) loci are essential for breeding high NUE cultivars. In this study, 15 NUE traits were measured in a recombinant inbred line population containing 121 lines derived from the cross between a cultivated barley (Baudin) and a wild barley (CN4027). The hydroponic culture was conducted with normal N and low N treatments in one-time frame, and field trials were conducted with N sufficiency and N deficiency treatments in two growing seasons. Twenty-two quantitative trait loci (QTLs) and four clusters were detected. Of them, the five stable QTLs Qgna.sau-3H for grain N concentration, Qtna.sau-3H for total N accumulation per plant, Qnhi.sau-3H for N harvest index, Qnutegy.sau-3H for N utilization efficiency for grain yield and Qanutedm.sau-3H.1 for N utilization efficiency for aboveground dry matter were co-located on chromosome 3H flanked by the markers bpb6282426 and bpb4786261. These two novel QTL clusters simultaneously controlled NUE traits at the seedling and maturity stages. Some genes related to NUE traits in intervals of the major QTLs were predicted. The significant relationships between NUE traits and agronomic and physiological traits were detected and discussed. In conclusion, this study uncovers the most promising genomic regions for the marker-assisted selection of NUE traits to improve NUE in barley.

Genome‐wide dissection and haplotype analysis identified candidate loci for nitrogen use efficiency under drought conditions in winter wheat

Abstract

Climate change causes extreme conditions like prolonged drought, which results in yield reductions due to its effects on nutrient balances such as nitrogen uptake and utilization by plants. Nitrogen (N) is a crucial nutrient element for plant growth and productivity. Understanding the mechanistic basis of nitrogen use efficiency (NUE) under drought conditions is essential to improve wheat (Triticum aestivum L.) yield. Here, we evaluated the genetic variation of NUE-related traits and photosynthesis response in a diversity panel of 200 wheat genotypes under drought and nitrogen stress conditions to uncover the inherent genetic variation and identify quantitative trait loci (QTLs) underlying these traits. The results revealed significant genetic variations among the genotypes in response to drought stress and nitrogen deprivation. Drought impacted plant performance more than N deprivation due to its effect on water and nutrient uptake. GWAS identified a total of 27 QTLs with a significant main effect on the drought-related traits, while 10 QTLs were strongly associated with the NUE traits. Haplotype analysis revealed two different haplotype blocks within the associated region on chromosomes 1B and 5A. The two haplotypes showed contrasting effects on N uptake and use efficiency traits. The in silico and transcript analyses implicated candidate gene coding for cold shock protein. This gene was the most highly expressed gene under several stress conditions, including drought stress. Upon validation, these QTLs on 1B and 5A could be used as a diagnostic marker for NUE and drought tolerance screening in wheat.

Identification of robust yield quantitative trait loci derived from cultivated emmer for durum wheat improvement

Abstract

Durum wheat (Triticum turgidum ssp. durum L.) is an important world food crop used to make pasta products. Compared to bread wheat (Triticum aestivum L.), fewer studies have been conducted to identify genetic loci governing yield-component traits in durum wheat. A potential source of diversity for durum is its immediate progenitor, cultivated emmer (T. turgidum ssp. dicoccum). We evaluated two biparental populations of recombinant inbred lines (RILs) derived from crosses between the durum lines Ben and Rusty and the cultivated emmer wheat accessions PI 41025 and PI 193883, referred to as the Ben × PI 41025 (BP025) and Rusty × PI 193883 (RP883) RIL populations, respectively. Both populations were evaluated under field conditions in three seasons with an aim to identify quantitative trait loci (QTLs) associated with yield components and seed morphology that were expressed in multiple environments. A total of 44 and 34 multi-environment QTLs were identified in the BP025 and RP883 populations, respectively. As expected, genetic loci known to govern domestication and development were associated with some of the QTLs, but novel QTLs derived from the cultivated emmer parents and associated with yield components including spikelet number, grain weight, and grain size were identified. These QTLs offer new target loci for durum wheat improvement, and toward that goal, we identified five RILs with increased grain weight and size compared to the durum parents. These materials along with the knowledge of stable QTLs and associated markers can help to expedite the development of superior durum varieties.

Isolation of Extracellular Vesicles from Phloem Sap by Size Exclusion Chromatography

Abstract

Extracellular vesicles (EVs) are nanoparticles that are released by cells and participate in the transfer of information. It is now known that EVs from mammalian cells are involved in different physiological and pathophysiological processes (antigen presentation, tissue regeneration, cancer, inflammation, diabetes, etc.). In the past few years, several studies on plants have demonstrated that EVs are also key tools for plant intercellular and cross-kingdom communications, suggesting that these nanostructures may contribute to distinct aspects of plant physiology such as development, defense, reproduction, symbiotic relationships, etc. These findings are challenging the traditional view of signaling in plants.

EVs are probably involved in the phloem's transport system, since this vascular tissue plays a crucial role in translocating nutrients, defensive compounds, and informational signals throughout the plant. The collection of phloem is experimentally challenging because sap is under high turgor pressure inside the sieve elements, which have a small diameter and are hidden within the plant organs. The goals of this work are to develop new protocols that allow us to detect EVs for the first time in the phloem of the plants, and to isolate these nanovesicles for in-depth analysis and characterization.

Our protocols describe two distinct methods to collect the phloem sap from rice and melon. The first method (Basic Protocol 1) involves ‘Aphid stylectomy by radiofrequency microcautery’ using rice plants and the aphid Sitobion avenae. This is considered the least invasive method for collecting phloem sap. The second method, ‘Stem incision’, involves cutting the stem of melon plants for collecting the exuded sap. Phloem sap EVs are then isolated by size exclusion chromatography. The results obtained in this study represent the first report on typical EVs isolated from in vivo–collected phloem sap. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC.

Basic Protocol 1: Isolation of EVs from phloem sap: Aphid stylectomy by radiofrequency microcautery

Basic Protocol 2: Isolation of EVs from phloem sap: Stem incision method

Quantitative Analysis of Cellular Morphology During In Vitro Decidualization

Abstract

Decidualization is a differentiation process involving shape reorganization from a fibroblast to an epithelioid-like appearance characteristic of endometrial stromal cells. For the study of in vitro decidualization, one needs to check that the cells have undergone this process effectively. Verification is usually done by analyzing the expression of decidual markers, but changes in morphology are a more comprehensive feature. However, morphological specificities (i.e., flatness) of endometrial cells prevent the use of existing automated tools. A simple and accurate methodology was developed to quantify the phenotypic changes that occur in an in vitro decidualization system. This approach analyzes cell circularity directly from light microscopy images to follow the effects of progesterone or progestin R5020 in combination with estradiol (E2) and cAMP in inducing the decidualization of human endometrial cells. A statistical model to detect the differences in the kinetics of decidualization of the two hormonal stimuli before all the cell population acquire the decidual phenotype was implemented. It was found that statistical differences in morphology between decidualized and control cells could be detected 2 days after the treatments. Here we detail the model applied, scripts, and input files in order to provide a useful, practical, and low-cost tool to evaluate morphological aspects of endometrial stromal differentiation. This method allows the verification of the effectiveness of the decidualization process of the stromal endometrial cells without having to use cell replicates, as other methods such as immunofluorescence and RT-qPCR assays require. Consequently, this approach can follow the kinetics of a living single replicate throughout the experiment. © 2023 Wiley Periodicals LLC.

Basic Protocol 1: Cell circularity quantification of human stromal endometrial cells using ImageJ

Basic Protocol 2: Statistical analysis of cell circularity of human stromal endometrial cells

Characterization of Alternaria alternata isolates from different citrus species grown in Tunisian Cap Bon peninsula

Abstract

The prospection of citrus trees affected by Alternaria alternata in Tunisian Cap Bon peninsula for 2 years, 2018 and 2019, showed a variation in the percentage of isolation frequency depending on the region, age of citrus trees and citrus species and varieties. Thirty isolates of A. alternata from citrus species were characterized and studied for their variability. The isolates were subjected to morphological identification using macroscopic and microscopic features and molecular characterization through PCR amplification of their internal transcribed spacer regions. A high morphological and molecular diversity within A. alternata isolates was detected. The molecular sequencing results precisely confirmed that these fungal isolates belong to A. alternata strains. Pathogenicity test showed that A. alternata T1 and T9 isolates were capable of causing disease symptoms only on young leaves of clementine plant (MA3 variety). These findings are useful in the development of sustainable strategies to manage Alternaria in citrus-growing areas in Tunisia.

Draft genome sequence of Colletotrichum fructicola causing leaf spot on tea plants (Camellia sinensis)

Draft genome sequence of Colletotrichum fructicola causing leaf spot on tea plants (Camellia sinensis)

Draft whole-genome sequence of Colletotrichum fructicola SX-6 annotated 15,243 predicted protein-coding genes; four gene families whose genes were significantly more abundant were identified by comparative genome analyses.


Abstract

Colletotrichum fructicola, one of the dominant pathogens isolated from the main tea region in China, causes leaf spot in mature leaves of tea plants, affecting their growth and yield. Here, we present the draft whole-genome sequence of the C. fructicola strain SX-6 previously used for morphological and transcriptomic analyses. The assembly consists of 510 contigs with an estimated genome size of 56.8 Mb. A total of 15,243 predicted protein-coding genes in the SX-6 genome were annotated using NR, Swiss-Prot, KEGG, KOG, TCDB, GO, PHI, DFVF, P450, SignalP and CAZy databases. We identified 833 carbohydrate-active enzymes, 1803 secreted proteins, 79 secondary metabolite gene clusters and 576 fungal virulence factors that may be involved in the pathogenicity of this fungus. Comparative genome analyses with 25 Colletotrichum species revealed their evolutionary relationships via a constructed phylogenetic tree and identified four gene families whose genes were significantly more abundant in strain SX-6. The resulting assembly will provide a valuable resource for further research on the gene functions of C. fructicola.

A Human Neuron/Astrocyte Co‐culture to Model Seeded and Spontaneous Intraneuronal Tau Aggregation

Abstract

Communication and contact between neurons and astrocytes is important for proper brain physiology. How neuron/astrocyte crosstalk is affected by intraneuronal tau aggregation in neurodegenerative tauopathies is largely elusive. Human induced pluripotent stem cell (iPSC)-derived neurons provide the opportunity to model tau pathology in a translationally relevant in vitro context. However, current iPSC models inefficiently develop tau aggregates, and co-culture models of tau pathology have thus far utilized rodent astrocytes. In this article, we describe the co-culture of human iPSC-derived neurons with primary human astrocytes in a 96-well format compatible with high-content microscopy. By lentiviral overexpression of different mutated tau variants, this protocol can be flexibly adapted for the efficient induction of seeded or spontaneous tau aggregation. We used this novel co-culture model to identify cell type–specific disease mechanisms and to provide proof of concept for intervention by antisense therapy. These results show that this human co-culture model provides a highly translational tool for target discovery and drug development for human tauopathies. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC.

Basic Protocol: Human neuron/astrocyte co-culture for seeded and spontaneous intraneuronal tau aggregation

Support Protocol 1: Human induced pluripotent stem cell culture

Support Protocol 2: Human primary astrocyte culture