Multi-model genome-wide association studies of leaf anatomical traits and vein architecture in rice.

Introduction: The anatomy of rice leaves is closely related to photosynthesis and grain yield. Therefore, exploring insight into the quantitative trait loci (QTLs) and alleles related to rice flag leaf anatomical and vein traits is vital for rice improvement.

Methods: Here, we aimed to explore the genetic architecture of eight flag leaf traits using one single-locus model; mixed-linear model (MLM), and two multi-locus models; fixed and random model circulating probability unification (FarmCPU) and Bayesian information and linkage disequilibrium iteratively nested keyway (BLINK).

Genome wide association analysis of root hair traits in rice reveals novel genomic regions controlling epidermal cell differentiation.

Background: Genome wide association (GWA) studies demonstrate linkages between genetic variants and traits of interest. Here, we tested associations between single nucleotide polymorphisms (SNPs) in rice (Oryza sativa) and two root hair traits, root hair length (RHL) and root hair density (RHD). Root hairs are outgrowths of single cells on the root epidermis that aid in nutrient and water acquisition and have also served as a model system to study cell differentiation and tip growth.

Many paths to one goal: Identifying integrated rice root phenotypes for diverse drought environments.

Drought is a major source of yield loss in the production of rice ( L.), and cultivars that maintain yield under drought across environments and drought stress scenarios are urgently needed. Root phenotypes directly affect water interception and uptake, so plants with root systems optimized for water uptake under drought would likely exhibit reduced yield loss.

Population Structure of Nation-Wide Rice in Thailand.

Background: Thailand is a country with large diversity in rice varieties due to its rich and diverse ecology. In this paper, 300 rice accessions from all across Thailand were sequenced to identify SNP variants allowing for the population structure to be explored.

Results: The result of inferred population structure from admixture and clustering analysis illustrated strong evidence of substructure in each geographical region.

Genome-Wide Association Study of Local Thai Indica Rice Seedlings Exposed to Excessive Iron.

Excess soluble iron in acidic soil is an unfavorable environment that can reduce rice production. To better understand the tolerance mechanism and identify genetic loci associated with iron toxicity (FT) tolerance in a highly diverse indica Thai rice population, a genome-wide association study (GWAS) was performed using genotyping by sequencing and six phenotypic data (leaf bronzing score (LBS), chlorophyll content, shoot height, root length, shoot biomass, and root dry weight) under both normal and FT conditions. LBS showed a high negative correlation with the ratio of chlorophyll content and shoot biomass, indicating the FT-tolerant accessions can regulate cellular homeostasis when encountering stress.

Rice height QTLs in KDML105 chromosome segment substitution lines.

Rice is an important crop that is consumed by approximately half of the world's population on a regular basis. Plant height is an important characteristic with shorter rice often having higher lodging resistance and better soil nutrient utilization allowing for lower fertilizer use. We used a Chromosome Segment Substitution Line (CSSL) population generated by introgressing segments of CT9993 and IR62266 into KDML 105.

Genetic Variability in Phosphorus Responses of Rice Root Phenotypes.

Background: Low phosphorus availability is a major factor limiting rice productivity. Since root traits determine phosphorus acquisition efficiency, they are logical selection targets for breeding rice with higher productivity in low phosphorus soils. Before using these traits for breeding, it is necessary to identify genetic variation and to assess the plasticity of each trait in response to the environment.

The role of root size versus root efficiency in phosphorus acquisition in rice.

In rice, genotypic differences in phosphorus (P) uptake from P-deficient soils are generally proportional to differences in root biomass or surface area (RSA). It is not known to what extent genotypic variation for root efficiency (RE) exists or contributes to P uptake. We evaluated 196 rice accessions under P deficiency and detected wide variation for root biomass which was significantly associated with plant performance.