Natural variation in growth and leaf ion homeostasis in response to salinity stress in Panicum hallii

Unveiling the molecular symphony: MicroRNA160a-Auxin Response Factor 18 module orchestrates low potassium tolerance in banana (Musa acuminata L.)

Potassium (K) is an essential nutrient for the growth and development of most plants. In banana (Musa acuminata L.), microRNA160a (miR160a) is suggested to potentially contribute to the response to low K+ stress by modulating the auxin signaling pathway. However, further investigation is required to elucidate its specific regulatory mechanism. This study presents evidence highlighting the critical role of the miR160a-Auxin Response Factor 18 (ARF18) module in conferring low K+ tolerance in banana. Both miR160a and its predicted target gene ARF18 displayed elevated expression levels in banana roots, with their expression profiles significantly altered under low K+ stress. The inhibitory effect of mac-miR160a on the expression of MaARF18-like-2 was confirmed through tobacco transient transformation and dual-Luciferase reporter assay. Surprisingly, Arabidopsis lines overexpressing mac-miR160a (mac-miR160a OE) exhibited enhanced tolerance to low K+ stress. Conversely, Arabidopsis lines overexpressing MaARF18-like-2 (MaARF18-like-2 OE) displayed increased sensitivity to K+ deficiency. Additionally, RNA sequencing (RNA-seq) analysis revealed that MaARF18-like-2 mediates the response of Arabidopsis to low K+ stress by influencing the expression of genes associated with Ca2+, ion transport, and reactive oxygen species (ROS) signaling. In conclusion, our study provides novel insights into the molecular mechanism of the miR160a-ARF18-like-2 module in the plant response to low K+ stress.

Evolutionary Analyses of Gene Expression Divergence in Panicum hallii: Exploring Constitutive and Plastic Responses Using Reciprocal Transplants

The evolution of gene expression is thought to be an important mechanism of local adaptation and ecological speciation. Gene expression divergence occurs through the evolution of cis- polymorphisms and through more widespread effects driven by trans-regulatory factors. Here, we explore expression and sequence divergence in a large sample of Panicum hallii accessions encompassing the species range using a reciprocal transplantation experiment. We observed widespread genotype and transplant site drivers of expression divergence, with a limited number of genes exhibiting genotype-by-site interactions. We used a modified FST-QST outlier approach (QPC analysis) to detect local adaptation. We identified 514 genes with constitutive expression divergence above and beyond the levels expected under neutral processes. However, no plastic expression responses met our multiple testing correction as QPC outliers. Constitutive QPC outlier genes were involved in a number of developmental processes and responses to abiotic environments. Leveraging earlier expression quantitative trait loci results, we found a strong enrichment of expression divergence, including for QPC outliers, in genes previously identified with cis and cis-environment interactions but found no patterns related to trans-factors. Population genetic analyses detected elevated sequence divergence of promoters and coding sequence of constitutive expression outliers but little evidence for positive selection on these proteins. Our results are consistent with a hypothesis of cis-regulatory divergence as a primary driver of expression divergence in P. hallii.

Quantitative genetic-by-soil microbiome interactions in a perennial grass affect functional traits

Plants interact with diverse microbiomes that can impact plant growth and performance. Recent studies highlight the potential beneficial aspects of plant microbiomes, including the possibility that microbes facilitate the process of local adaptation in their host plants. Microbially mediated local adaptation in plants occurs when local host genotypes have higher fitness than foreign genotypes because of their affiliation with locally beneficial microbes. Here, plant adaptation results from genetic interactions of the host with locally beneficial microbes (e.g. host genotype-by-microbiome interactions). We used a recombinant inbred line (RIL) mapping population derived from upland and lowland ecotypes of the diploid C4 perennial bunch grass Panicum hallii to explore quantitative genetic responses to soil microbiomes focusing on functional root and shoot traits involved in ecotypic divergence. We show that the growth and development of ecotypes and their trait divergence depends on soil microbiomes. Moreover, we find that the genetic architecture is modified by soil microbiomes, revealing important plant genotype-by-microbiome interactions for quantitative traits. We detected a number of quantitative trait loci (QTL) that interact with the soil microbiome. Our results highlight the importance of microbial interactions in ecotypic divergence and trait genetic architecture in C4 perennial grasses.