Microalgal biomass has emerged as a valuable and nutrient-rich source of novel plant-based foods of the future, with several demonstrated benefits. In addition to their green and health-promoting characteristics, these foods exhibit bioactive properties that contribute to a range of physiological benefits. Photoautotrophic microalgae are particularly important as a source of food products due to their ability to biosynthesize high-value compounds. Their photosynthetic efficiency and biosynthetic activity are directly influenced by light conditions. The primary goal of this study is to track the changes in the light requirements of various high-value microalgae species and use advanced systems to regulate these conditions. Artificial intelligence (AI) and machine learning (ML) models have emerged as pivotal tools for intelligent microalgal cultivation. This approach involves the continuous monitoring of microalgal growth, along with the real-time optimization of environmental factors and light conditions. By accumulating data through cultivation experiments and training AI models, the development of intelligent microalgae cell factories is becoming increasingly feasible. This review provides a concise overview of the regulatory mechanisms that govern microalgae growth in response to light conditions, explores the utilization of microalgae-based products in plant-based foods, and highlights the potential for future research on intelligent microalgae cultivation systems.

Optimum growing temperature is necessary for maximum yield-potential in any crop. The global atmospheric temperature is changing more rapidly and irregularly every year. High temperature at the flowering/reproductive stage in rice causes partial to complete pollen sterility, resulting in significant reduction in grain yield. Green Super Rice (GSR) is an effort to develop an elite rice type that can withstand multiple environmental stresses and maintain yield in different agro-ecological zones. The current study was performed to assess the effect of heat stress on agronomic and physiological attributes of GSR at flowering stage. Twenty-two GSR lines and four local checks were evaluated under normal and heat-stress conditions for different agro-physiological parameters, including plant height (PH), tillers per plant (TPP), grain yield per plant (GY), straw yield per plant (SY), harvest index (HI), 1000-grain weight (GW), grain length (GL), cell membrane stability (CMS), normalized difference vegetative index (NDVI), and pollen fertility percentage (PFP). Genotypes showed high significant variations for all the studied parameters except NDVI. Association and principal component analysis (PCA) explained the genetic diversity of the genotypes, and relationship between the particular parameters and grain yield. We found that GY, along with other agronomic traits, such as TPP, SY, HI, and CMS, were greatly affected by heat stress in most of the genotypes, while PH, GW, GL, PFP, and NDVI were affected only in a few genotypes. Outperforming NGSR-16 and NGSR-18 in heat stress could be utilized as a parent for the development of heat-tolerant rice. Moreover, these findings will be helpful in the prevention and management of heat stress in rice.

Rose (Rosa chinensis Jacq.) is an important economic ornamental crop and its yield is affected by different biotic and abiotic stresses. Among the biotic stresses, the gray mold disease caused by Botrytis cinerea is a serious threat to rose production. The basic helix-loop-helix (bHLH) is a large transcription factor family involved in several vital plant physiological processes, including growth, development, and stress response. However, no substantial reports exist on bHLH genes in rose. Here, the genome-wide identification, characterization, and expression analysis of the rose bHLH (RcbHLH) genes was carried out. In total, 100 RcbHLHs were identified in the rose genome and mapped onto different rose chromosomes. The gene duplication analysis revealed both tandem and segmental duplications in RcbHLHs. The RcbHLHs among other plant bHLHs were divided into 21 sub-groups on the phylogenetic tree. Additionally, prediction of the different cis-regulatory elements and the gene ontology of the identified RcbHLHs indicated their possible functions in rose plants. The expression analysis of selected RcbHLHs genes in two contrasting rose varieties (A29 = Black Baccara and XS = Sweet Avalanche) under B. cinerea infection provided insights into the involvement of RcbHLHs in rose–B. cinerea interactions. Moreover, this study provided details on the bHLH family genes in rose and their potential roles in rose defense against B. cinerea infection.