Marker-trait association for low-light intensity tolerance in rice genotypes from Eastern India

Genetic analysis of purple pigmentation in rice seed and vegetative parts - implications on developing high-yielding purple rice (Oryza sativa L.)

Pigmentation in rice grains is an important quality parameter. Purple-coloured rice (Oryza sativa L.) indicates the presence of high anthocyanin with benefits of antioxidant properties. However, the genetic mechanism of grain colour is not fully understood. Therefore, the study focused on understanding pigmentation in grain pericarp and vegetative parts, and its relationship with blast resistance and enhanced grain yield. Three local cultivars from the northeastern region (NER) of India - Chakhao Poireiton (purple), Mang Meikri (light brown), and Kala Joha (white) - along with high-yielding varieties (HYVs) Shasharang (light brown) and Sahbhagi dhan (white) were used to develop biparental populations. The findings suggested that pigmentation in vegetative tissue was governed by the inter-allelic interaction of several genes. Haplotype analysis revealed that Kala3 complemented Kala4 in enhancing purple pigmentation and that Kala4 is not the only gene responsible for purple colour as evident by the presence of a desired allele for markers RID3 and RID4 (Kala4 locus) in Chakhao Poireiton and Kala Joha irrespective of their pericarp colour, implying the involvement of some other additional, unidentified genes/loci. RID3 and RID4 together with RM15191 (Kala3 locus) could be employed as a reliable marker set for marker-assisted selection (MAS). Pericarp colour was strongly correlated with colour in different vegetative parts, but showed a negative correlation with grain yield. Pb1, reported to be associated with panicle blast resistance, contributed to leaf blast resistance. Transgressive segregants for improved pigmentation and high yield were identified. The selection of lines exhibiting coloured pericarp, high anthocyanin content, aroma, blast resistance, and increased yield compared to their respective HYV parents will be valuable resources in the rice breeding programme.

Impact of low light intensity on biomass partitioning and genetic diversity in a chickpea mapping population

With recent climatic changes, the reduced access to solar radiation has become an emerging threat to chickpeas' drought tolerance capacity under rainfed conditions. This study was conducted to assess, and understand the effects of reduced light intensity and quality on plant morphology, root development, and identifying resistant sources from a Sonali/PBA Slasher mapping population. We evaluated 180 genotypes, including recombinant inbred lines (RILs), parents, and commercial checks, using a split-block design with natural and low light treatments. Low light conditions, created by covering one of the two benches inside two growth chambers with a mosquito net, reduced natural light availability by approximately 70%. Light measurements encompassed photosynthetic photon flux density, as well as red, and far-red light readings taken at various stages of the experiment. The data, collected from plumule emergence to anthesis initiation, encompassed various indices relevant to root, shoot, and carbon gain (biomass). Statistical analysis examined variance, treatment effects, heritability, correlations, and principal components (PCs). Results demonstrated significant reductions in root biomass, shoot biomass, root/shoot ratio, and plant total dry biomass under suboptimal light conditions by 52.8%, 28.2%, 36.3%, and 38.4%, respectively. Plants also exhibited delayed progress, taking 9.2% longer to produce their first floral buds, and 19.2% longer to commence anthesis, accompanied by a 33.4% increase in internodal lengths. A significant genotype-by-environment interaction highlighted differing genotypic responses, particularly in traits with high heritability (> 77.0%), such as days to anthesis, days to first floral bud, plant height, and nodes per plant. These traits showed significant associations with drought tolerance indicators, like root, shoot, and plant total dry biomass. Genetic diversity, as depicted in a genotype-by-trait biplot, revealed contributions to PC1 and PC2 coefficients, allowing discrimination of low-light-tolerant RILs, such as 1_52, 1_73, 1_64, 1_245, 1_103, 1_248, and 1_269, with valuable variations in traits of interest. These RILs could be used to breed desirable chickpea cultivars for sustainable production under water-limited conditions. This study concludes that low light stress disrupts the balance between root and shoot morphology, diverting photosynthates to vegetative structures at the expense of root development. Our findings contribute to a better understanding of biomass partitioning under limited-light conditions, and inform breeding strategies for improved drought tolerance in chickpeas.

Evaluation of diverse soybean genotypes for seed longevity and its association with seed coat colour

Sixty genotypes with different seed coat colour and seed sizes were evaluated for seed longevity under both natural and accelerated ageing over seasons. The genotypes were grown during rabi, 2018, and summer, 2021, and freshly harvested seeds were used. For natural ageing, seeds were stored in a cloth bag in ambient condition and were removed at bimonthly intervals till 20 months. Accelerated ageing was carried out as per International Seed Testing Association (ISTA) guidelines. The germination percentage after natural and accelerated ageing over two seasons was determined. The correlation between two seasons of accelerated ageing and month-wise natural ageing was highly significant. The principal component analysis (PCA) using seed longevity grouped the majority of black genotypes into a separate cluster. Higher seed longevity was associated with black seed coat colour and small seed size. Microsatellite marker-based clustering also produced a separate cluster for majority of black genotypes and grouped the genotypes into a large number of clusters suggesting high diversity in the plant material. Two black seed coat colour genotypes, ACC No.369 and ACC No.39 consistently showed higher longevity under natural and both the years of accelerated ageing and serve as a source of alleles for higher seed longevity in soybean.

Identification of microRNAs That Provide a Low Light Stress Tolerance-Mediated Signaling Pathway during Vegetative Growth in Rice

Low light intensity affects several physiological parameters during the different growth stages in rice. Plants have various regulatory mechanisms to cope with stresses. One of them is the differential and temporal expression of genes, which is governed by post-transcriptional gene expression regulation through endogenous miRNAs. To decipher low light stress-responsive miRNAs in rice, miRNA expression profiling was carried out using next-generation sequencing of low-light-tolerant (Swarnaprabha) and -sensitive (IR8) rice genotypes through Illumina sequencing. Swarnaprabha and IR8 were subjected to 25% low light treatment for one day, three days, and five days at the active tillering stage. More than 43 million raw reads and 9 million clean reads were identified in Swarnaprabha, while more than 41 million raw reads and 8.5 million clean reads were identified in IR8 after NGS. Importantly, 513 new miRNAs in rice were identified, whose targets were mostly regulated by the genes involved in photosynthesis and metabolic pathways. Additionally, 114 known miRNAs were also identified. Five novel (osa-novmiR1, osa-novmiR2, osa-novmiR3, osa-novmiR4, and osa-novmiR5) and three known (osa-miR166c-3p, osa-miR2102-3p, and osa-miR530-3p) miRNAs were selected for their expression validation through miRNA-specific qRT-PCR. The expression analyses of most of the predicted targets of corresponding miRNAs show negative regulation. Hence, miRNAs modulated the expression of genes providing tolerance/susceptibility to low light stress. This information might be useful in the improvement of crop productivity under low light stress.

OsGF14b is involved in regulating coarse root and fine root biomass partitioning in response to elevated [CO2] in rice

Elevated [CO₂] can increase rice biomass and yield, but the degree of this increase varies substantially among cultivars. Little is known about the gene loci involved in the acclimation and adaptation to elevated [CO₂] in rice. Here, we report on a T-DNA insertion mutant in japonica rice exhibiting a significantly enhanced response to elevated [CO₂] compared with the wild type (WT). The root biomass response of the mutant was higher than that of the WT, and this manifested in the number of adventitious roots, the average diameter of roots, and total root length. Furthermore, coarse roots (>0.6 mm) and thin lateral roots (<0.2 mm) were more responsive to elevated [CO₂] in the mutant. When exposed to lower light intensity, however, the response of the mutant to elevated [CO₂] was not superior to that of the WT, indicating that the high response of the mutant under elevated [CO₂] was dependent on light intensity. The T-DNA insertion site was located in the promoter region of the OsGF14b gene, and insertion resulted in a significant decrease in OsGF14b expression. Our results indicate that knockout of OsGF14b may improve the response to elevated [CO₂] in rice by enhancing carbon allocation to coarse roots and to fine lateral roots.

Understanding the metabolome and metagenome as extended phenotypes: The next frontier in macroalgae domestication and improvement

"Omics" techniques (including genomics, transcriptomics, metabolomics, proteomics, and metagenomics) have been employed with huge success in the improvement of agricultural crops. As marine aquaculture of macroalgae expands globally, biologists are working to domesticate species of macroalgae by applying these techniques tested in agriculture to wild macroalgae species. Metabolomics has revealed metabolites and pathways that influence agriculturally relevant traits in crops, allowing for informed crop crossing schemes and genomic improvement strategies that would be pivotal to inform selection on macroalgae for domestication. Advances in metagenomics have improved understanding of host-symbiont interactions and the potential for microbial organisms to improve crop outcomes. There is much room in the field of macroalgal biology for further research toward improvement of macroalgae cultivars in aquaculture using metabolomic and metagenomic analyses. To this end, this review discusses the application and necessary expansion of the omics tool kit for macroalgae domestication as we move to enhance seaweed farming worldwide.

Low Light/Darkness as Stressors of Multifactor-Induced Senescence in Rice Plants

Leaf senescence, as an integral part of the final development stage for plants, primarily remobilizes nutrients from the sources to the sinks in response to different stressors. The premature senescence of leaves is a critical challenge that causes significant economic losses in terms of crop yields. Although low light causes losses of up to 50% and affects rice yield and quality, its regulatory mechanisms remain poorly elucidated. Darkness-mediated premature leaf senescence is a well-studied stressor. It initiates the expression of senescence-associated genes (SAGs), which have been implicated in chlorophyll breakdown and degradation. The molecular and biochemical regulatory mechanisms of premature leaf senescence show significant levels of redundant biomass in complex pathways. Thus, clarifying the regulatory mechanisms of low-light/dark-induced senescence may be conducive to developing strategies for rice crop improvement. This review describes the recent molecular regulatory mechanisms associated with low-light response and dark-induced senescence (DIS), and their effects on plastid signaling and photosynthesis-mediated processes, chloroplast and protein degradation, as well as hormonal and transcriptional regulation in rice.

A 1.84-Mb region on rice chromosome 2 carrying SPL4, SPL5 and MLO8 genes is associated with higher yield under phosphorus-deficient acidic soil

Phosphorus (P) deficiency is one of the major limiting factors for rice productivity with only one locus (PSTOL1) available for field based application. A biparental mapping population (F₆) derived from two P deficiency tolerant genotypes (Sahbhagi Dhan (SD) (PSTOL1⁺) and Chakhao Poreiton (CP) (PSTOL1^-)), in which, transcriptome data generated from our lab had previously shown existence of diverse mechanisms was used to identify novel regions for better yield under lowland acidic soils. Phenotyping at F₄, F₅ and F₆ generations revealed significant correlation between traits like tiller number at 30 days (TN 30), tiller number at 60 days (TN 60), filled grains (FG), percent spikelet fertility (SF%), panicle number (PN) and grain yield per panicle (GYPP) and also association with better yield/performance under low P acidic soil conditions. Through selected genotyping on a set of forty superior and inferior lines using SSR, candidate gene-based and SNP polymorphic markers, 5 genomic regions associated with various yield-related traits were identified. Marker trait association studies revealed 13 markers significantly associated with yield attributing traits and PUE under lowland acidic field conditions. Chi-square and regression analyses of markers run on the entire population identified seven and six markers for SF% and GYPP, respectively, and two for biological yield with positive allele derived from SD which constitute a novel 1.847-Mb region on chromosome 2 flanked by two markers RM12550 and PR9-2. Expression analysis of 7 candidate genes lying within this region across SD, CP and two low P susceptible rice genotypes has revealed that expression of four genes including SPL4, SPL5, ACA9 and MLO8 is significantly upregulated only in SD under low P conditions. In CP, there is low expression of MLO8 under low P conditions, whereas SPL4, SPL5 and Os02g08120 are downregulated. In the case of the two susceptible genotypes, there is no expression of Os02g08120 either in optimum or limiting conditions. Sequence data across a panel of 3024 rice genotypes also suggests that there is polymorphism for these differentially expressed genes. The genes and underlying markers identified on chromosome 2 will be key to imparting tolerance to low P in diverse genetic backgrounds and for marker-assisted selection for higher yield under lowland acidic conditions.

In silico characterization, and expression analysis of rice golden 2-like (OsGLK) members in response to low phosphorous

The availability of phosphorus (P) affects productivity of rice. Under acidic soil conditions (pH < 5.5), P is rapidly immobilized in the soil. Several transcription factors play an important role in low Pi tolerance response, including MYB family members but their role in acidic soil is yet unknown. In this study, genome wide identification and characterization of golden 2-like (GLK) members belonging to GARP superfamily from rice (OsGLK) led to identification of 46 members distributed over 12 chromosomes. We assigned gene nomenclature, analyzed gene structure and identified mutant orthologs and phenotypes in maize and rice, respectively. On the basis of biological functions three categories viz., (a) two-component response regulator (five members), (b) putative transcription factor (21 members) and (c) phosphate starvation response (8 members) were identified. Phylogenetic analysis revealed a total of nine subgroups with MYB homeodomain-like and MYB CC-type domains conserved across members. Expression profiling of OsGLKs in response to 24 and 48 h of low Pi in four contrasting rice genotypes, revealed significantly higher expression of OsGLK10, OsGLK15, OsGLK22 and OsGLK30 in tolerant genotypes as compared to susceptible genotypes, suggesting their role in Pi starvation tolerance. Meta analyses and cis-regulatory elements (CREs) profiling of OsGLK showed diverse expression pattern in various tissues and organs and also modulation in response to various abiotic and biotic stresses. Our results highlight the versatile role of this diverse and complex GLK family, in particular to abiotic stress. These genes will form the basis of future studies on low Pi tolerance in acidic soils.