Abstract

Sugarcane (Saccharum spp.) has a complex genome with variable ploidy and frequent aneuploidy, which hampers the understanding of phenotype and genotype relations. Despite this complexity, genome-wide association studies (GWAS) may be used to identify favorable alleles for target traits in core collections and then assist breeders in better managing crosses and selecting superior genotypes in breeding populations. Therefore, in the present study, we used a diversity panel of sugarcane, called the Brazilian Panel of Sugarcane Genotypes (BPSG), with the following objectives: (i) estimate, through a mixed model, the adjusted means and genetic parameters of the five yield traits evaluated over two harvest years; (ii) detect population structure, linkage disequilibrium (LD) and genetic diversity using simple sequence repeat (SSR) markers; (iii) perform GWAS analysis to identify marker-trait associations (MTAs); and iv) annotate the sequences giving rise to SSR markers that had fragments associated with target traits to search for putative candidate genes. The phenotypic data analysis showed that the broad-sense heritability values were above 0.48 and 0.49 for the first and second harvests, respectively. The set of 100 SSR markers produced 1,483 fragments, of which 99.5% were polymorphic. These SSR fragments were useful to estimate the most likely number of subpopulations, found to be four, and the LD in BPSG, which was stronger in the first 15 cM and present to a large extension (65 cM). Genetic diversity analysis showed that, in general, the clustering of accessions within the subpopulations was in accordance with the pedigree information. GWAS performed through a multilocus mixed model revealed 23 MTAs, six, three, seven, four and three for soluble solid content, stalk height, stalk number, stalk weight and cane yield traits, respectively. These MTAs may be validated in other populations to support sugarcane breeding programs with introgression of favorable alleles and marker-assisted selection.

Highlights

  • Sugarcane (Saccharum spp.) is an important industrial crop and a vital component for food and energy security, providing sucrose, bioethanol and bioelectricity [1,2]

  • Our objectives were to (i) estimate, through a mixed model, the adjusted means and genetic parameters of the five yield traits evaluated over two harvest years in a diversity panel composed of ancestral and modern sugarcane accessions; (ii) detect population structure, linkage disequilibrium (LD) and genetic diversity using simple sequence repeats (SSRs) markers; (iii) perform genome-wide association studies (GWAS) analysis to identify marker-trait associations (MTAs); and iv) annotate the sequences giving rise SSR markers that had fragments associated with target traits to search for putative candidate genes

  • The complexity of the sugarcane genome and the quantitative nature of sugar- and yieldrelated traits are challenging for geneticists and breeders searching for higher genetic gains for this crop

Read more

Summary

Introduction

Sugarcane (Saccharum spp.) is an important industrial crop and a vital component for food and energy security, providing sucrose, bioethanol and bioelectricity [1,2]. Sugarcane is cultivated in mainly tropical and subtropical areas and has a very high photosynthetic efficiency and a complex genome due to its variable ploidy levels, frequent aneuploidy, and large genome size of approximately 10 gigabases (Gb) [3,4,5,6,7,8]. Sugarcane breeding programs concentrate efforts to release cultivars adapted to different environments that have high yields in terms of biomass production and sucrose content as well as resistance to diseases. Even with the adoption of better agricultural practices and selection strategies in the early stages of breeding programs, which attempt to measure and isolate the environmental effects of genetic factors [13,14,15,16], the genetic gains to quantitative traits have declined in recent years for sugarcane and other crops [17,18,19]

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call