Genomic selection in white lupin

Genomic selection in white lupi

Merging genotyping-by-sequencing data from two ex situ collections provides insights on the pea evolutionary history

Pea (Pisum sativum L. subsp. sativum) is one of the oldest domesticated species and a widely cultivated legume. In this study, we combined next generation sequencing (NGS) data referring to two genotyping-by-sequencing (GBS) libraries, each one prepared from a different Pisum germplasm collection. The selection of single nucleotide polymorphism (SNP) loci called in both germplasm collections caused some loss of information; however, this did not prevent the obtainment of one of the largest datasets ever used to explore pea biodiversity, consisting of 652 accessions and 22 127 markers. The analysis of population structure reflected genetic variation based on geographic patterns and allowed the definition of a model for the expansion of pea cultivation from the domestication centre to other regions of the world. In genetically distinct populations, the average decay of linkage disequilibrium (LD) ranged from a few bases to hundreds of kilobases, thus indicating different evolutionary histories leading to their diversification. Genome-wide scans resulted in the identification of putative selective sweeps associated with domestication and breeding, including genes known to regulate shoot branching, cotyledon colour and resistance to lodging, and the correct mapping of two Mendelian genes. In addition to providing information of major interest for fundamental and applied research on pea, our work describes the first successful example of integration of different GBS datasets generated from ex situ collections - a process of potential interest for a variety of purposes, including conservation genetics, genome-wide association studies, and breeding

Alfalfa genomic selection for different stress-prone growing regions

Alfalfa (Medicago sativa L.) selection for stress-prone regions has high priority for sustainable crop–livestock systems. This study assessed the genomic selection (GS) ability to predict alfalfa breeding values for drought-prone agricultural sites of Algeria, Morocco, and Argentina; managed-stress (MS) environments of Italy featuring moderate or intense drought; and one Tunisian site irrigated with moderately saline water. Additional aims were to investigate genotype × environment interaction (GEI) patterns and the effect on GS predictions of three single-nucleotide polymorphism (SNP) calling procedures, 12 statistical models that exclude or incorporate GEI, and allele dosage information. Our study included 127 genotypes from a Mediterranean reference population originated from three geographically contrasting populations, genotyped via genotyping-by-sequencing and phenotyped based on multi-year biomass dry matter yield of their dense-planted half-sib progenies. The GEI was very large, as shown by 27-fold greater additive genetic variance × environment interaction relative to the additive genetic variance and low genetic correlation for progeny yield responses across environments. The predictive ability of GS (using at least 37,969 SNP markers) exceeded 0.20 for moderate MS (representing Italian stress-prone sites) and the sites of Algeria and Argentina while being quite low for the Tunisian site and intense MS. Predictions of GS were complicated by rapid linkage disequilibrium decay. The weighted GBLUP model, GEI incorporation into GS models, and SNP calling based on a mock reference genome exhibited a predictive ability advantage for some environments. Our results support the specific breeding for each target region and suggest a positive role for GS in most regions when considering the challenges associated with phenotypic selection.EEA Santiago del EsteroFil: Annicchiarico, Paolo. Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria. Centro di Ricerca Zootecnia e Acquacoltura; ItaliaFil: Nazzicari, Nelson. Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria. Centro di Ricerca Zootecnia e Acquacoltura; ItaliaFil: Bouizgaren, Abdelaziz. Institut National de la Recherche Agronomique du Maroc. Centres Régionaux de Marrakech et de Rabat; MarruecosFil: Hayek, Taoufik. Institut des Régions Arides de Médenine; TunezFil: Laouar, Meriem. Ecole Nationale Supérieure Agronomique. Dép. de Productions Végétales. Laboratoire d’Amélioration Intégrative des Productions Végétales; ArgeliaFil: Cornacchione, Monica. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; ArgentinaFil: Basigalup, Daniel Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi. Grupo de Mejoramiento Genético de Alfalfa; ArgentinaFil: Monterrubio Martin, Cristina. Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria. Centro di Ricerca Zootecnia e Acquacoltura; ItaliaFil: Brummer, E. Charles. University of California at Davies. Depeparment of Plant Sciences. Plant Breeding Center,; Estados UnidosFil: Pecetti, Luciano. Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria. Centro di Ricerca Zootecnia e Acquacoltura; Itali

Broadening and exploiting the genetic base of white lupin

White lupin is a European crop with a long history of domestication and high potential interest for high-protein food or feedstuff. This report aims to summarize the research steps that were undertaken to (i) verify the extent of genetic diversity exploited by modern breeding, (ii) identify elite bitter-seed landraces and sweet-seed germplasm aimed to broaden the genetic base for European breeding, (iii) assess the genetic variation for tolerance to key abiotic stresses in the germplasm of the novel genetic base, and (iv) verify the potential of genomic models based on genotyping-bysequencing (GBS) SNP data to select simultaneously and cost-efficiently for some complex traits. Molecular diversity patterns of 83 landraces from nine major historical cropping regions and 15 commercial varieties confirmed that modern plant breeding exploited only a modest part of the crop genetic variation. Germplasm evaluation experiments for adaptation to severe drought or calcareous soil revealed substantial genetic variation (Annicchiarico and Thami-Alami, 2012; Annicchiarico et al., 2018), which, along with other information, was exploited to identify four elite landraces and four elite, sweet-seed lines that acted as parents of a broadly-based population. Some 144 sweet-seed lines extracted from this population were evaluated for grain yield under severe drought in a managed environment of Italy and for adaptation to moderately calcareous soil in a spring-sown environment of the Netherlands and an autumn-sown environment of Greece. We report on the observed line variation for these traits, and on the construction of genomic selection models and their ability to predict the line adaptation to drought or lime soil based on cross validations. Genome-enabled models may be used also to select for tolerance to anthracnose and the sweet-seed trait

Genetic mapping of anthracnose resistance in white lupin

White lupin (Lupinus albus) is a valuable grain legume with a high protein content and quality, contributing to soil fertility (Monteiro et al., 2014, Lambers et al., 2013). Its high yield potential could make it a sustainable alternative for imported soybean in Europe (Lucas et al., 2015). However, lupin anthracnose, caused by the air- and soilborne fungus Colletotrichum lupini severely limits cultivation as low levels of seed infestation can already cause total yield loss (Talhinhas et al., 2016). Host resistance is crucial for managing anthracnose but a better insight into the genetic basis is required. We developed a high-throughput phenotyping tool that identifies field-relevant anthracnose resistance under controlled conditions. For inoculation, we identified a local, highly virulent C. lupini strain. Phylogenetic analyses revealed that the strain belongs to a globally dispersed genetic group corresponding to Dubrulle et al.’s (2020) C. lupini group II. Using the developed tool we phenotyped a diverse collection of 200 white lupin accessions, revealing a strong segregation between susceptible and resistant plants, potentially holding novel sources of resistance. Genotyping-bysequencing was performed and the generated single-nucleotide polymorphic markers (SNPs) are currently being used for genetic mapping. Quantitative trait loci (QTLs) for anthracnose resistance will be presented aiding to improve and speed up white lupin breeding programs

Genome-enabled predictions for fruit weight and quality from repeated records in European peach progenies

Background: Highly polygenic traits such as fruit weight, sugar content and acidity strongly influence the agroeconomic value of peach varieties. Genomic Selection (GS) can accelerate peach yield and quality gain if predictions show higher levels of accuracy compared to phenotypic selection. The available IPSC 9K SNP array V1 allows standardized and highly reliable genotyping, preparing the ground for GS in peach. Results: A repeatability model (multiple records per individual plant) for genome-enabled predictions in eleven European peach populations is presented. The analysis included 1147 individuals derived from both commercial and non-commercial peach or peach-related accessions. Considered traits were average fruit weight (FW), sugar content (SC) and titratable acidity (TA). Plants were genotyped with the 9K IPSC array, grown in three countries (France, Italy, Spain) and phenotyped for 3–5 years. An analysis of imputation accuracy of missing genotypic data was conducted using the software Beagle, showing that two of the eleven populations were highly sensitive to increasing levels of missing data. The regression model produced, for each trait and each population, estimates of heritability (FW:0.35, SC:0.48, TA:0.53, on average) and repeatability (FW:0.56, SC:0.63, TA:0.62, on average). Predictive ability was estimated in a five-fold cross validation scheme within population as the correlation of true and predicted henotypes. Results differed by populations and traits, but predictive abilities were in general high (FW:0.60, SC:0.72, TA:0.65, on average). Conclusions: This study assessed the feasibility of Genomic Selection in peach for highly polygenic traits linked to yield and fruit quality. The accuracy of imputing missing genotypes was as high as 96%, and the genomic predictive ability was on average 0.65, but could be as high as 0.84 for fruit weight or 0.83 for titratable acidity. The estimated repeatability may prove very useful in the management of the typical long cycles involved in peach productions. All together, these results are very promising for the application of genomic selection to peach breeding programmes.info:eu-repo/semantics/publishedVersio

Genome‑wide association study reveals white lupin candidate gene involved in anthracnose resistance

White lupin (Lupinus albus L.) is a re-emerging protein crop and promising alternative to soybean. Its cultivation, however, is severely threatened by anthracnose disease caused by the fungal pathogen Colletotrichum lupini. To dissect the genetic architecture for anthracnose resistance, genotyping-by-sequencing (GBS) was performed on white lupin accessions collected from the center of domestication and traditional cultivation regions. GBS resulted in 4,611 high-quality single-nucleotide polymorphisms (SNPs) for 181 accessions, which were combined with resistance data observed under controlled conditions to perform a genome-wide association study (GWAS). Obtained disease phenotypes were shown to highly correlate to overall three-year disease assessments under Swiss field conditions (r > 0.8). GWAS results identified two significant SNPs associated with anthracnose resistance on gene Lalb_Chr05_g0216161 encoding a RING zinc-finger E3 ubiquitin ligase which is potentially involved in plant immunity. Population analysis showed a remarkably fast linkage disequilibrium (LD) decay, weak population structure and grouping of commercial varieties with landraces, corresponding to the slow domestication history and scarcity of modern breeding efforts in white lupin. Together with 15 highly resistant accessions identified in the resistance assay, our findings show promise for further crop improvement. This study provides the basis for marker-assisted selection, genomic prediction and studies aimed at understanding anthracnose resistance mechanisms in white lupin and contributes to improving breeding programs worldwide

Assessment of Cultivar Distinctness in Alfalfa: A Comparison of Genotyping‐by‐Sequencing, Simple‐Sequence Repeat Marker, and Morphophysiological Observations

Cultivar registration agencies typically require morphophysiological trait-based distinctness of candidate cultivars. This requirement is difficult to achieve for cultivars of major perennial forages because of their genetic structure and ever-increasing number of registered material, leading to possible rejection of agronomically valuable cultivars. This study aimed to explore the value of molecular markers applied to replicated bulked plants (three bulks of 100 independent plants each per cultivar) to assess alfalfa ( L. subsp. ) cultivar distinctness. We compared genotyping-by-sequencing information based on 2902 polymorphic single-nucleotide polymorphism (SNP) markers (>30 reads per DNA sample) with morphophysiological information based on 11 traits and with simple-sequence repeat (SSR) marker information from 41 polymorphic markers for their ability to distinguish 11 alfalfa landraces representative of the germplasm from northern Italy. Three molecular criteria, one based on cultivar differences for individual SSR bands and two based on overall SNP marker variation assessed either by statistically significant cultivar differences on principal component axes or discriminant analysis, distinctly outperformed the morphophysiological criterion. Combining the morphophysiological criterion with either molecular marker method increased discrimination among cultivars, since morphophysiological diversity was unrelated to SSR marker-based diversity ( = 0.04) and poorly related to SNP marker-based diversity ( = 0.23, < 0.15). The criterion based on statistically significant SNP allele frequency differences was less discriminating than morphophysiological variation. Marker-based distinctness, which can be assessed at low cost and without interactions with testing conditions, could validly substitute for (or complement) morphophysiological distinctness in alfalfa cultivar registration schemes. It also has interest in sui generis registration systems aimed at marketing alfalfa landraces

Whole-Genome Analysis of Diversity and SNP-Major Gene Association in Peach Germplasm

Peach was domesticated in China more than four millennia ago and from there it spread world-wide. Since the middle of the last century, peach breeding programs have been very dynamic generating hundreds of new commercial varieties, however, in most cases such varieties derive from a limited collection of parental lines (founders). This is one reason for the observed low levels of variability of the commercial gene pool, implying that knowledge of the extent and distribution of genetic variability in peach is critical to allow the choice of adequate parents to confer enhanced productivity, adaptation and quality to improved varieties. With this aim we genotyped 1,580 peach accessions (including a few closely related Prunus species) maintained and phenotyped in five germplasm collections (four European and one Chinese) with the International Peach SNP Consortium 9K SNP peach array. The study of population structure revealed the subdivision of the panel in three main populations, one mainly made up of Occidental varieties from breeding programs (POP1OCB), one of Occidental landraces (POP2OCT) and the third of Oriental accessions (POP3OR). Analysis of linkage disequilibrium (LD) identified differential patterns of genome-wide LD blocks in each of the populations. Phenotypic data for seven monogenic traits were integrated in a genome-wide association study (GWAS). The significantly associated SNPs were always in the regions predicted by linkage analysis, forming haplotypes of markers. These diagnostic haplotypes could be used for marker-assisted selection (MAS) in modern breeding programs