Serine/arginine-rich (SR) proteins are indispensable factors for RNA splicing, and they play important roles in development and abiotic stress responses. However, little information on genes in is available. In this study, 59 genes were identified and classified into seven subfamilies: SR, SCL, RS2Z, RSZ, RS, SR45, and SC. In each subfamily, the genes showed relatively conserved structures and motifs, but displayed distinct expression patterns in different tissues and under abiotic stress, which might be caused by the varied -acting regulatory elements among them. Transcriptome datasets from Pacbio/Illumina platforms showed that alternative splicing of genes was widespread in and the majority of paralogous gene pairs displayed different splicing patterns. Protein-protein interaction analysis indicated that SR proteins were involved in the regulation of the whole lifecycle of mRNA, from synthesis to decay. Moreover, the association mapping analysis suggested that 12 genes were candidate genes for regulating specific agronomic traits, which indicated that genes could affect the development and hence influence the important agronomic traits of . In summary, this study provided elaborate information on genes in , which will aid further functional studies and genetic improvement of agronomic traits in .
Background: Lablab is one of the conventionally grown multi-purpose crops that originated in Africa. It is an annual or short-lived perennial forage legume which has versatile uses (as a vegetable and dry seeds, as food or feed, or as green manure) but is yet to receive adequate research attention and hence remains underexploited. To develop new and highly productive lablab varieties, using genomics-assisted selection, the present study aimed to identify quantitative trait loci associated with agronomically important traits in lablab and to assess the stability of these traits across two different agro-ecologies in Ethiopia.
Background: Genetic markers are crucial for breeding crops with desired agronomic traits, and their development can be expedited using next-generation sequencing (NGS) and bioinformatics tools. Numerous tools have been developed to design molecular markers, enhancing the convenience, accuracy, and efficiency of molecular breeding. However, these tools primarily focus on genetic variants within short user-input sequences, despite the availability of extensive omics data for genomic variants.
Phenomic prediction (PP), a novel approach utilizing Near Infrared Spectroscopy (NIRS) data, offers an alternative to genomic prediction (GP) for breeding applications. In PP, a hyperspectral relationship matrix replaces the genomic relationship matrix, potentially capturing both additive and non-additive genetic effects. While PP boasts advantages in cost and throughput compared to GP, the factors influencing its accuracy remain unclear and need to be defined.
Pearl millet {Pennisetum glaucum (L.) R. Br} is a C4 panicoid cereal millet crop grown in arid and semi-arid regions in Africa and Asia for food and fodder.
Genome editing and plant transformation are crucial techniques in plant biotechnology, allowing for the precise modification of plant genomes to enhance agronomically essential traits. The advancement of CRISPR-based genome editing tools in plants is limited, among others, by developing novel tissue culture methodologies for efficient plant genetic transformation. methodologies offer a promising alternative to overcome tissue culture limitations and facilitate crops' genetic improvement.
