Association mapping identifies quantitative trait loci (QTL) for digestibility in rice straw

Deciphering the regulatory network of lignocellulose biosynthesis in bread wheat through genome-wide association studies

KEY MESSAGE

This study identified 46 key QTL and 17 candidate genes and developed a KASP marker, providing valuable molecular tools for enhancing lignocellulose traits, lodging resistance, and bioenergy potential in wheat. Wheat lignocellulose, composed of lignin, cellulose, and hemicellulose, plays a crucial role in strengthening plant cell walls, enhancing lodging resistance, and contributing to bioenergy production. However, the genetic basis underlying the variation in lignocellulose content in wheat remains poorly understood. The stem lignin, cellulose, and hemicellulos contents in the second stem internode of a panel of 166 wheat accessions grown in three environments were measured, combined with the genotyping data with 660 K wheat SNP chip; a genome-wide association studies (GWAS) were conducted to identify loci associated with the lignocellulose content in wheat. Significant variations in lignin, cellulose, and hemicellulose contents were observed among the wheat accessions. GWAS identified 1146 significant SNPs associated with lignin, cellulose, and hemicellulose contents, distributed across the A, B, and D sub-genomes of wheat. Joint analysis of haplotype blocks refined these associations, identifying 46 significant quantitative trait loci (QTL) regions and 17 candidate genes, primarily linked to vascular development, hemicellulose synthesis, internode elongation regulation, and lignin biosynthesis. A KASP marker (NW_CC5951) for lignocellulose was developed. These findings provide valuable molecular markers for marker-assisted selection, supporting wheat breeding for improved stem quality and lodging resistance, and offer insights into balancing grain yield with lodging resistance and lignocellulosic energy production.

Genome-wide association studies unveils the genetic basis of cell wall composition and saccharification of cassava pulp

Cassava (Manihot esculenta Crantz) is a key crop for starch and biofuels production. This study focuses on the polysaccharide composition and saccharification efficiency in cassava pulp through genome-wide association studies (GWAS), targeting the improvement of root characteristics for industrial use. We analyzed 135 partially inbred lines population, performing monosaccharide composition and saccharification analyses to reveal substantial variability in storage root biomass. Among 33 traits examined, 128 significant SNPs were associated with 23 biomass traits, highlighting a complex genetic architecture. Saccharification potential varied from 39 to 95 nmol Glu mg-1 h-1, with high broad-sense heritability for saccharification and several monosaccharide traits, indicating a strong genetic control. Our findings revealed that cassava pulp comprises similar proportions of pectin, hemicellulose, and cellulose in all genotypes. Correlation analysis showed significant associations between cellulose content and saccharification, suggesting that enhancing these traits can improve bioconversion efficiency. Negative correlations with glucose and glucuronic acid in hemicellulose and pectin fractions imply these components may inhibit saccharification. We identified 118 candidate genes associated with 21 traits, with many involved in stress responses affecting cell wall composition. This study verified 12 key candidate genes through sequence and expression analysis, including MANES_07G081200, a YTH domain-containing protein associated with saccharification. Several stress-response genes, such as MANES_04G118600 and MANES_09G174600, were linked to monosaccharide traits, suggesting that adaptive stress pathways influence biomass characteristics. This study provides insights into the genetic determinants of cassava pulp's saccharification and polysaccharide composition, aiding breeding efforts to develop cassava varieties optimized for industrial applications.

Variety-dependent accumulation of glucomannan in the starchy endosperm and aleurone cell walls of rice grains and its possible genetic basis

Plant cell wall plays important roles in the regulation of plant growth/development and affects the quality of plant-derived food and industrial materials. On the other hand, genetic variability of cell wall structure within a plant species has not been well understood. Here we show that the endosperm cell walls, including both starchy endosperm and aleurone layer, of rice grains with various genetic backgrounds are clearly classified into two groups depending on the presence/absence of β-1,4-linked glucomannan. All-or-none distribution of the glucomannan accumulation among rice varieties is very different from the varietal differences of arabinoxylan content in wheat and barley, which showed continuous distributions. Immunoelectron microscopic observation suggested that the glucomannan was synthesized in the early stage of endosperm development, but the synthesis was down-regulated during the secondary thickening process associated with the differentiation of aleurone layer. Significant amount of glucomannan in the cell walls of the glucomannan-positive varieties, i.e., 10% or more of the starchy endosperm cell walls, and its close association with the cellulose microfibril suggested possible effects on the physicochemical/biochemical properties of these cell walls. Comparative genomic analysis indicated the presence of striking differences between OsCslA12 genes of glucomannan-positive and negative rice varieties, Kitaake and Nipponbare, which seems to explain the all-or-none glucomannan cell wall trait in the rice varieties. Identification of the gene responsible for the glucomannan accumulation could lead the way to clarify the effect of the accumulation of glucomannan on the agronomic traits of rice by using genetic approaches.

Genetic potential of grain-related traits in rice landraces: phenomics and multi-locus association analyses

BACKGROUND

Grain length, width, weight, and the number of grains per panicle are crucial determinants contributing to yield in cereal crops. Understanding the genetic basis of grain-related traits has been the main research object in crop science.

METHODS AND RESULTS

Kerala has a collection of different rice landraces. Characterization of these valuable genetic resources for 39 distinct agro-morphological traits was carried out in two seasons from 2017 to 2019 directly in farmers field. Most characteristics were polymorphic except ligule shape, leaf angle, and panicle axis. The results of principal component analysis implied that leaf length, plant height, culm length, flag leaf length, and grain-related traits were the principal discriminatory characteristics of rice landraces. For identifying the genetic basis of key grain traits of rice, three multi locus GWAS models were performed based on 1,47,994 SNPs in 73 rice accessions. As a result, 48 quantitative trait nucleotides (QTNs) were identified to be associated with these traits. After characterization of their function and expression, 15 significant candidate genes involved in regulating grain width, number of grains per panicle, and yield were identified.

CONCLUSIONS

The detected QTNs and candidate genes in this study could be further used for marker-assisted high-quality breeding of rice.

Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS

BACKGROUND

Rapid reductions in emissions from fossil fuel burning are needed to curb global climate change. Biofuel production from crop residues can contribute to reducing the energy crisis and environmental deterioration. Wheat is a renewable source for biofuels owing to the low cost and high availability of its residues. Thus, identifying candidate genes controlling these traits is pivotal for efficient biofuel production. Here, six multi-locus genome-wide association (ML-GWAS) models were applied using 185 tetraploid wheat accessions to detect quantitative trait nucleotides (QTNs) for fifteen traits associated with biomass composition.

RESULTS

Among the 470 QTNs, only 72 identified by at least two models were considered as reliable. Among these latter, 16 also showed a significant effect on the corresponding trait (p.value < 0.05). Candidate genes survey carried out within 4 Mb flanking the QTNs, revealed putative biological functions associated with lipid transfer and metabolism, cell wall modifications, cell cycle, and photosynthesis. Four genes encoded as Cellulose Synthase (CeSa), Anaphase promoting complex (APC/C), Glucoronoxylan 4-O Methyltransferase (GXM) and HYPONASTIC LEAVES1 (HYL1) might be responsible for an increase in cellulose, and natural and acid detergent fiber (NDF and ADF) content in tetraploid wheat. In addition, the SNP marker RFL_Contig3228_2154 associated with the variation in stem solidness (Q.Scsb-3B) was validated through two molecular methods (High resolution melting; HRM and RNase H²-dependent PCR; rhAMP).

CONCLUSIONS

The study provides new insights into the genetic basis of biomass composition traits on tetraploid wheat. The application of six ML-GWAS models on a panel of diverse wheat genotypes represents an efficient approach to dissect complex traits with low heritability such as wheat straw composition. The discovery of genes/genomic regions associated with biomass production and straw quality parameters is expected to accelerate the development of high-yielding wheat varieties useful for biofuel production.

Genome-wide association study for lignocellulosic compounds and fermentable sugar in rice straw

Cellulose and lignin are the two main components of secondary plant cell walls with substantial impact on stalk in the field and on straw during industrial processing. The amount of fermentable sugar that can be accessed is another important parameter affecting various industrial applications. In the present study, genetic variability of rice (Oryza sativa L.) genotypes for cellulose, lignin, and fermentable sugars contents was analyzed in rice straw. A genome-wide association study of 33,484 single nucleotide polymorphisms (SNPs) with a minor allele frequency (MAF) >0.05 was performed. The genome-wide association study identified seven, three, and three genomic regions to be significantly associated with cellulose, lignin, and fermentable sugar contents, respectively. Candidate genes in the associated genomic regions were enzymes mainly involved in cell wall metabolism. Novel SNP markers associated with cellulose were tagged to GH16, peroxidase, GT6, GT8, and CSLD2. For lignin content, Villin protein, OsWAK1/50/52/53, and GH16 were identified. For fermentable sugar content, UTP-glucose-1-phosphate uridylyltransferase, BRASSINOSTEROID INSENSITIVE 1, and receptor-like protein kinase 5 were found. The results of this study should improve our understanding of the genetic basis of the factors that might be involved in biosynthesis, turnover, and modification of major cell wall components and saccharides in rice straw.