Genomic Prediction of Biomass Yield in Two Selection Cycles of a Tetraploid Alfalfa Breeding Population.

Alfalfa (Medicago sativa L.) is a widely planted perennial forage legume grown throughout temperate and dry subtropical regions in the world. Long breeding cycles limit genetic improvement of alfalfa, particularly for complex traits such as biomass yield. Genomic selection (GS), based on predicted breeding values obtained using genome-wide molecular markers, could enhance breeding efficiency in terms of gain per unit time and cost. In this study, we genotyped tetraploid alfalfa plants that had previously been evaluated for yield during two cycles of phenotypic selection using genotyping-by-sequencing (GBS). We then developed prediction equations using yield data from three locations. Approximately 10,000 single nucleotide polymorphism (SNP) markers were used for GS modeling. The genomic prediction accuracy of total biomass yield ranged from 0.34 to 0.51 for the Cycle 0 population and from 0.21 to 0.66 for the Cycle 1 population, depending on the location. The GS model developed using Cycle 0 as the training population in predicting total biomass yield in Cycle 1 resulted in accuracies up to 0.40. Both genotype × environment interaction and the number of harvests and years used to generate yield phenotypes had effects on prediction accuracy across generations and locations, Based on our results, the selection efficiency per unit time for GS is higher than phenotypic selection, although accuracies will likely decline across multiple selection cycles. This study provided evidence that GS can accelerate genetic gain in alfalfa for biomass yield.

Molecular physiology and breeding at the crossroads of cold hardiness improvement.

Alfalfa (Medicago sativa L.) is a major forage legume grown extensively worldwide with important agronomic and environmental attributes. Insufficient cold hardiness is a major impediment to its reliable production in northern climates. Improvement of freezing tolerance using conventional breeding approaches is slowed by the quantitative nature of inheritance and strong interactions with the environment. The development of gene-based markers would facilitate the identification of genotypes with superior stress tolerance. Successive cycles of recurrent selection were applied using an indoor screening method to develop populations with significantly higher tolerance to freezing (TF). Bulk segregant analysis of heterogeneous TF populations identified DNA variations that are progressively enriched in frequency in response to selection. Polymorphisms resulting from intragenic variations within a dehydrin gene were identified and could potentially lead to the development of robust selection tools. Our results illustrate the benefits of feedback interactions between germplasm development programs and molecular physiology for a deeper understanding of the molecular and genetic bases of cold hardiness.

Intron-length polymorphism identifies a Y2K4 dehydrin variant linked to superior freezing tolerance in alfalfa.

Breeding alfalfa (Medicago sativa L.) with superior freezing tolerance could be accelerated by the identification of molecular markers associated to that trait. Dehydrins are a group of highly hydrophilic proteins that have been related to low temperature tolerance. We previously identified a dehydrin restriction fragment length polymorphism (RFLP) among populations recurrently selected for superior tolerance to freezing (TF). Analysis of crosses between genotypes with (D+) or without (D-) that RFLP revealed a significant impact on freezing tolerance. In this study, we sought to develop a PCR marker for freezing tolerance based on prior evidence of a relationship between size variation in Y(2)K(4) dehydrins and the RFLP. Results confirm the enrichment of Y(2)K(4) sequences of intermediate size (G2 group) in response to recurrent selection and in the D+ progeny. Analysis of genomic sequences revealed significant intron-length polymorphism (ILP) within the G2 group. G2 sequences with a characteristic short intron were more frequently found in D+ genotypes. Amplification using sequence-characterized amplified region (SCAR) primers bordering the intron confirmed an increase in the number of fragments with small introns in the D+ progeny and in the ATF5 population obtained after five cycles of recurrent selection for superior TF within the cultivar Apica (ATF0). Conversely, there was a reduction in the number of fragments with long introns in the D+ progeny and in ATF5 as compared to ATF0. Recurrent selection for superior tolerance to freezing in combination with ILP identified a sequence variant of Y(2)K(4) dehydrins associated to the phenotypic response to selection.

SRAP polymorphisms associated with superior freezing tolerance in alfalfa (Medicago sativa spp. sativa).

Sequence-related amplified polymorphism (SRAP) analysis was used to uncover genetic polymorphisms among alfalfa populations recurrently selected for superior tolerance to freezing (TF populations). Bulk DNA samples (45 plants/bulk) from each of the cultivar Apica (ATF0), and populations ATF2, ATF4, ATF5, and ATF6 were evaluated with 42 different SRAP primer pairs. Several polymorphisms that progressively intensified or decreased with the number of recurrent cycles were identified. Four positive polymorphisms (F10-R14, Me4-R8, F10-R8 and F11-R9) that, respectively, yielded 540-, 359-, 213-, and 180-bp fragments were selected for further analysis. SRAP amplifications with genotypes within ATF populations confirmed that the polymorphisms identified with bulk DNA samples were reflecting changes in the frequency of their occurrence in response to selection. In addition, the number of genotypes cumulating multiple polymorphisms markedly increased in response to recurrent selection. Independent segregation of the four SRAP polymorphisms suggests location at unlinked loci. Homology search gave matches with BAC clones from syntenic Medicago truncatula for the four SRAP fragments. Analysis of the relationship with low temperature tolerance showed that multiple SRAP polymorphisms are more frequent in genotypes that maintain superior regrowth after freezing. These results show that SRAP analysis of bulk DNA samples from recurrent selections is an effective approach for the identification of genetic polymorphisms associated with quantitative traits in allogamous species. These polymorphisms could be useful tools for indirect selection of freezing tolerance in alfalfa.

Dehydrin variants associated with superior freezing tolerance in alfalfa (Medicago sativa L.).

A cDNA (msaCIG) encoding a cold-inducible Y(2)K(4) dehydrin in alfalfa (Medicago sativa spp. sativa) was shown to share extensive homology with sequences from other species and subspecies of Medicago. Differences were mainly the result of the occurrence of large indels, amino acids substitutions/deletions and sequence duplications. Using a combination of a bulk segregant analysis and RFLP hybridization, we uncovered an msaCIG polymorphism that increases in frequency in response to recurrent selection for superior freezing tolerance. Progenies from crosses between genotypes with (D+) or without (D-) the polymorphic dehydrin significantly differed in their tolerance to subfreezing temperatures. Based on the msaCIG sequence, we looked for intragenic variations that could be associated to the polymorphism detected on Southern blots. Amplifications with primers targeting the 3' half side of msaCIG revealed fragment size variations between pools of genotypes with (+) or without (-) the polymorphism. Three major groups of amplicons of approximately 370 nt (G1), 330 nt (G2), and 290 nt (G3) were distinguished. The G2 group was more intensively amplified in pools of genotypes with the polymorphic dehydrin and was associated to a superior freezing tolerance phenotype. Sequences analysis revealed that size variation in the 3' half was attributable to the variable occurrence of large indels. Single amino acid substitutions and/or deletions caused major differences in the prediction of the secondary structure of the polypeptides. The identification of dehydrin variants associated to superior freezing tolerance paves the way to the development of functional markers and the fixation of favorable alleles in various genetic backgrounds.

Oxygen deficiency affects carbohydrate reserves in overwintering forage crops.

Anaerobic conditions developing under an ice cover affect winter survival and spring regrowth of economically important perennial crops. The objective was to compare, during a prolonged period of low (<2%) O2 at low temperature, the concentration of carbohydrates of four plant species contrasting in their resistance to oxygen deficiency. Four perennial forage species, lucerne (Medicago sativa L.), red clover (Trifolium pratense L.), timothy (Phleum pratense L.), and cocksfoot (Dactylis glomerata L.) were subjected to a progressively developing oxygen deficiency stress by enclosing potted plants in gas-tight bags in late autumn for overwintering in an unheated greenhouse. Timothy was previously reported to be more resistant to oxygen deficiency than the three other species. Non-structural carbohydrates increased and remained at a higher concentration in timothy than in the other three species under low O2 concentration. Concentrations of sucrose, fructose, glucose, and fructans increased in response to oxygen deficiency in timothy, whereas the concentration of soluble sugars decreased under the same conditions in lucerne, red clover, and cocksfoot. The gene expression of glyceraldehyde-3-phosphate dehydrogenase increased in response to low oxygen concentration in oxygen deficiency-sensitive lucerne while it remained unchanged in the oxygen deficiency-resistant timothy. It is concluded that timothy maintains higher carbohydrate reserves under oxygen deficiency, a specific feature that could favour its winter survival and spring regrowth.