Biology subjects

Lire, H.

Publications and source records attributed to Lire, H..

3 recordsLinked to original sources

bioRxiv2025

Genome-wide association mapping for grain and forage quality traits in a subtropical oat germplasm collection adapted to highland regions of Eastern Africa

Oat (Avena sativa L.) is a globally important cereal cultivated for both livestock feed and human nutrition. However, its productivity is increasingly constrained by both biotic and abiotic stresses, exacerbated by rapid climate change. To support the development of dual-usage, stress-resilient and high-yielding cultivars adapted to subtropical agroecologies, we evaluated the genetic structure and agronomic performance of a 169-member oat association panel. This panel was phenotyped for key vegetative, forage feed quality and grain related traits across three subtropical locations in Sub-Saharan Africa (SSA) over two growing seasons and genotyped using Genotyping-by-Sequencing (GBS). Diversity analysis, based on filtered SNPs, showed moderate genetic diversity (He = 0.39 and PIC = 0.3), and population structure analysis identified two main sub-groups with varying degrees of admixture, suggesting gene flow among different groups. Genome-wide association analysis uncovered 42 SNPs significantly associated with sixteen traits (false discovery rate, FDR, <0.05), along with 46 candidate genes located near these loci. Notably, candidate genes associated with seed traits included a homolog of rice OsAK3, encoding adenylate kinase, and a UDP-glucosyltransferase homologous to rice GSA1, both previously shown to regulate grain size. These genes were located near QTL linked to seed length, width, and thousand-grain weight. Another key candidate, encoding a subunit of the ESCRT-II complex (VPS25), was identified near a separate QTL and is implicated in intracellular trafficking, endosperm development, and overall seed quality. By illuminating the genetic architecture of economically important traits and identifying molecular markers linked to yield, quality and resilience, this study provides valuable genomic resources to support genomics-based breeding aimed at developing climate-resilient, productive oats varieties adapted to sub-tropical agro-ecologies.

genomics↗

bioRxiv2024

Whole genome resequencing of a global collection of Napier grass (Cenchrus purpureus) to explore global population structure and QTL governing yield and feed quality traits

Napier grass (Cenchrus purpureus) is a C4 perennial grass species native to Sub-Saharan Africa (SSA), primarily used to feed cattle in SSA. In this study, we sequenced the genomes of 450 Napier grass individuals, sourced from 20 different countries. More than 170 million DNA variants (SNPs and Indels) were detected, of which [~]1% informative SNPs were used to assess genetic diversity in the collection. Our resequencing study provided valuable insights into the genetic diversity across a global Napier grass collection. Furthermore, a genome-wide association study on two independent populations, identified multiple quantitative trait loci (QTL) that were significantly associated with desirable agronomic traits, such as biomass yield, nitrogen and cellulose content. Therefore, our results will serve as a valuable resource in safeguarding and unravelling the patterns of Napier grass genetic diversity, in the face of climate change, and spearhead genomics-based breeding programs to develop high-yielding and drought-tolerant varieties suitable for forage and biofuel production.

plant biology↗

bioRxiv2023

A population genomics approach to unlock the genetic potential of lablab (Lablab purpureus), an underutilized tropical forage crop

BackgroundIn Sub-Saharan Africa (SSA) livestock production and productivity are severely restricted by the scarce supply of feedstuffs and forage crops, while those available are often of low nutritional quality resulting in poor animal productivity and leading to widespread malnutrition among the public, particularly women and children. Traditionally, several tropical forage crops have been used in the region both in the rangelands and as cut-and-carry cropping systems, but limited research attention has been paid to improve the quality of and access to these animal feeds. Lablab (Lablab purpureus (L.) is one of the conventionally grown multi-purpose underutilized crops that originated in Africa. It is an annual or short-lived perennial multi-purpose forage legume which has versatile uses (as a vegetable and dry seed), and as feed for animals, or as green manure. To develop new and highly productive lablab varieties, using genomics-assisted selection, the present study aimed to identify quantitative trait loci (QTL) associated with agronomically important traits in lablab and to assess the stability of these traits across two different agro-ecologies in Ethiopia. ResultsOne hundred and forty-two cultivated and wild lablab accessions displayed significant agro-morphological variation in eight analysed traits, including plant height, total fresh weight, and total dry weight. Further, the agronomic performance of the accessions was significantly different across locations and years, highlighting the substantial genotype-by-environment interactions. The population genetic structure of the lablab accessions, based on half a million high quality single nucleotide polymorphisms (SNPs), revealed an independent domestication pattern for two-seeded and four-seeded lablab accessions. Furthermore, based on multi-environmental trial data, a genome-wide association study (GWAS) identified useful SNPs and k-mers for yield-related traits, such as plant height and total dry weight. ConclusionsGenomic-assisted breeding is playing a key role in accelerating trait improvement in temperate forages, such as perennial ryegrass and alfalfa. Here we show that a similar approach could benefit underutilized crops such as lablab. The publicly available genomic tools and field evaluation data from this study will offer a valuable resource for plant breeders and researchers, to initiate genomic-assisted breeding in lablab which will fast-track genetic gain per unit time and ultimately contribute towards achieving food/nutritional security in the region.

genomics↗