Application of near-infrared spectroscopy for fast germplasm analysis and classification in multi-environment using intact-seed peanut(Arachis hypogaea L.)

Peanut is a worldwide oilseed crop and the need to assess germplasm in a non-destructive manner is important for seed nutritional breeding.In this study,Near Infrared Spectroscopy(NIRS)was applied to rapidly assess germplasm variability from whole seed of 699 samples,field-collected and assembled in four genetic and environmentbased sets:one set of 300 varieties of a core-collection and three sets of 133 genotypes of an interspecific population,evaluated in three environments in a large spatial scale of two countries,Mbalmayo and Bafia in Cameroon and Nioro in Senegal,under rainfed conditions.NIR elemental spectra were gathered on six subsets of seeds of each sample,after three rotation scans,with a spectral resolution of 16 cm-1over the spectral range of867 nm to 2530 nm.Spectra were then processed by principal component analysis(PCA)coupled with Partial least squares-discriminant analysis(PLS-DA).As results,a huge variability was found between varieties and genotypes for all NIR wavelength within and between environments.The magnitude of genetic variation was particularly observed at 11 relevant wavelengths such as 1723 nm,usually related to oil content and fatty acid composition.PCA yielded the most chemical attributes in three significant PCs(i.e.,eigenvalues>10),which together captured 93%of the total variation,revealing genetic and environment structure of varieties and genotypes into four clusters,corresponding to the four samples sets.The pattern of genetic variability of the interspecific population covers,remarkably half of spectrum of the core-collection,turning out to be the largest.Interestingly,a PLS-DA model was developed and a strong accuracy of 99.6%was achieved for the four sets,aiming to classify each seed sample according to environment origin.The confusion matrix achieved for the two sets of Bafia and Nioro showed 100%of instances classified correctly with 100%at both sensitivity and specificity,confirming that their seed quality was different from each other and all other samples.Overall,NIRS chemometrics is useful to assess and distinguish seeds from different environments and highlights the value of the interspecific population and core-collection,as a source of nutritional diversity,to support the breeding efforts.

Antioxidant lignans sesamin and sesamolin in sesame(Sesamum indicum L.):a comprehensive review and future prospects

Sesame(Sesamum indicum L.)is a significantly lucrative cash crop for millions of small-holder farmers.Its seeds are an important source of a highly appreciated vegetable oil globally and two clinically essential antioxidant lignans,sesamin and sesamolin.Accordingly,many countries import millions of tons of sesame seed every year.The demand for lignan-rich sesame seeds has been increasing in recent years due to the continuous discovery of several pharmacological attributes of sesamin and sesamolin.To meet this demand,the sesame breeder’s primary objective is to release sesame cultivars that are enriched in oil and lignans.Thus,it is necessary to summarize the information related to the sesamin and sesamolin contents in sesame in order to promote the joint efforts of specialized research teams on this important oilseed crop.In this article,we present the current knowledge on the sesamin and sesamolin contents in S.indicum L.with respect to the updated biosynthesis pathway,associated markers,governing loci,available variability in sesame germplasm,the in planta potential roles of these compounds in sesame,and the newly discovered pharmacological attributes.In addition,we propose and discuss some required studies that might facilitate genomics-assisted breeding of high lignan content sesame varieties.

First Report of a Successful Development of Yam Hybrids(Dioscorea alata L.)from Lyophilized and Long-Term Stored Pollens

Various biological constraints including erratic and asynchronous flowering between male and female plants hinder successful hybrid development and genetic gains in greater yam breeding programs.Therefore,pollen storage has gained much attention to facilitate artificial pollinations and increase the genetic gains.This 4-year study aimed at developing a practical long-term pollen storage technique for the successful development of yam hybrids.Fresh pollens were collected from two Dioscorea alata males,then lyophilized(two lyophilization treatments were applied),followed by storage at room temperature(24℃–25℃)for 12 months.Moreover,the lyophilized and stored pollens were tested for viability by crossing with four female varieties.Our results showed that lyophilization is effective for achieving viable pollens after 12 months of storage.Treatment 1(48 h drying)showed higher pollen germination and fertility rates than Treatment 2(72 h drying).Although we observed a reduction in viability of lyophilized pollens after 12 months of storage,we generated hybrid seedlings with success rates from 12%to 21%compared to 21%–31%when using fresh pollens.Paternity testing based on molecular genotyping confirmed the hybrid status of the obtained seedlings,which grew well in a greenhouse.Lyophilization is a practical approach for a long-term storage of greater yam pollen samples.This protocol will positively impact yam breeding programs particularly in developing countries.

Large scale genetic landscape and population structure of Ethiopian sesame (Sesamum indicum L.) germplasm revealed through molecular marker analysis

Sesame(Sesamum indicum L.) plays a crucial role in Ethiopian agriculture,serving both subsistence and commercial purposes.However,our understanding of the extensive genetic diversity and population structure of Ethiopian sesame remains limited.To address this knowledge gap,we genotyped 368 Ethiopian sesame germplasms,categorizing into four distinct breeding groups:Accessions,landraces,improved varieties,and wild types,using a comprehensive set of 28 polymorphic markers,including 23 simple sequence repeat(SSR) and five Insertion-Deletion(InDel) markers.These markers ensured robust genomic representation,with at least two markers per linkage group.Our results unveiled substantial genetic diversity,identifying a total of 535 alleles across all accessions.On average,each locus displayed 8.83 alleles,with observed and expected heterozygosity values of 0.30 and 0.36,respectively.Gene Diversity and Polymorphic Information Content(PIC) were recorded at 0.37 and 0.35.The percentage of polymorphic loci varied significantly among breeding groups,ranging from8.00% to 82.40%,indicating high diversity in accessions(82.4%),moderate diversity in improved varieties(31.20%) and landraces(29.60%),and limited diversity in wild types(8.00).Analysis of Molecular Variance(AMOVA) results emphasized significant genetic differentiation among populations,with substantial diversity(P<0.001) within each population.Approximately 8% of the entire genetic diversity could be attributed to distinctions among populations,while the larger proportion of genetic diversity(92%) resided within each individual sesame population,showcasing heightened diversity within each group.Our study’s findings received support from both Bayesian clustering and Neighbor-joining(NJ) analysis,reaffirming the credibility of our genetic structure insights.Notably,Population structure analysis at its highest Δk value(k=2) revealed the existence of two primary genetic clusters,further subdivided into four sub-populations at k=4.Similarly,NJ analysis identified two prominent clusters,each displaying additional sub-clustering.In conclusion,our research provides a comprehensive understanding of genetic groups,subpopulations,and overall diversity within Ethiopian sesame populations.These findings underscore the significant genetic diversity and population structure within Ethiopian sesame germplasm collections.This genetic richness holds promise for breeding and conservation efforts,highlighting the importance of preserving genetic diversity to ensure adaptation to changing environments and meet the needs of farmers and consumers.

A chromosome-level,haplotype-phased Vanilla planifolia genome highlights the challenge of partial endoreplication for accurate wholegenome assembly

Vanilla planifolia, the species cultivated to produce one of the world’s most popular flavors, is highly proneto partial genome endoreplication, which leads to highly unbalanced DNA content in cells. We report herethe first molecular evidence of partial endoreplication at the chromosome scale by the assembly and annotation of an accurate haplotype-phased genome of V. planifolia. Cytogenetic data demonstrated that thediploid genome size is 4.09 Gb, with 16 chromosome pairs, although aneuploid cells are frequentlyobserved. Using PacBio HiFi and optical mapping, we assembled and phased a diploid genome of 3.4 Gbwith a scaffold N50 of 1.2 Mb and 59 128 predicted protein-coding genes. The atypical k-mer frequenciesand the uneven sequencing depth observed agreed with our expectation of unbalanced genome representation. Sixty-seven percent of the genes were scattered over only 30% of the genome, putatively linkinggene-rich regions and the endoreplication phenomenon. By contrast, low-coverage regions (non-endoreplicated) were rich in repeated elements but also contained 33% of the annotated genes. Furthermore, this assembly showed distinct haplotype-specific sequencing depth variation patterns, suggesting complexmolecular regulation of endoreplication along the chromosomes. This high-quality, anchored assemblyrepresents 83% of the estimated V. planifolia genome. It provides a significant step toward the elucidationof this complex genome. To support post-genomics efforts, we developed the Vanilla Genome Hub, a userfriendly integrated web portal that enables centralized access to high-throughput genomic and other omicsdata and interoperable use of bioinformatics tools.