ABSTRACT
Marker-assisted selection (MAS) has been widely used in the last few decades in plant breeding programs for the mapping and introgression of genes for economically important traits, which has enabled the development of a number of superior cultivars in different crops. In sugarcane, which is the most important source for sugar and bioethanol, marker development work was initiated long ago; however, marker-assisted breeding in sugarcane has been lagging, mainly due to its large complex genome, high levels of polyploidy and heterozygosity, varied number of chromosomes, and use of low/medium-density markers. Genomic selection (GS) is a proven technology in animal breeding and has recently been incorporated in plant breeding programs. GS is a potential tool for the rapid selection of superior genotypes and accelerating breeding cycle. However, its full potential could be realized by an integrated approach combining high-throughput phenotyping, genotyping, machine learning, and speed breeding with genomic selection. For better understanding of GS integration, we comprehensively discuss the concept of genetic gain through the breeder's equation, GS methodology, prediction models, current status of GS in sugarcane, challenges of prediction accuracy, challenges of GS in sugarcane, integrated GS, high-throughput phenotyping (HTP), high-throughput genotyping (HTG), machine learning, and speed breeding followed by its prospective applications in sugarcane improvement.
ABSTRACT
Genetic diversity in 92 sugarcane varieties of sub-tropical India was assessed using 30 morphological descriptors and 643 simple sequence repeat (SSR) marker loci. Out of the 30 morphological descriptors, 14 were found polymorphic, and significant variability was recorded for plant height, cane diameter and number of millable canes. Grouping traits like plant growth habit, leaf blade curvature and leaf sheath adherence were found to be predominantly monomorphic. There were a few pairs of varieties (e.g., CoP 9702 and CoP 9302, CoP 9301 and CoSe 01424, UP 05 and Co 1336, CoS 96258 and CoH 110) that showed similar DUS profiles except differing for a few descriptors. The STRUCTURE profile suggest that all the 92 sugarcane varieties had admixtures and no sub-group had a pure unblemished structure profile. An average Nei's genetic distance of 0.49 was found to be a better measure of diversity, whereas, the average band informativeness (Ibav) value of all the 80 SSR primers was 0.434. Although, the mean Ibav values for EST-SSR and genomic-SSR primers were same (0.43), the range of Ibav of EST-SSR (0.04-0.85) was more compared to genomic-SSR (0.12-0.63) primers. The segregation of the varieties based on morphological traits was not in accordance with their geographical distribution or maturity groups, but principal component analysis was able to group the sugarcane varieties that had similar pedigree together. Results indicate that the SSRs have a potential use in the DNA fingerprinting of varieties to prevent any malpractice like unauthorised re-registration of a previously registered sugarcane variety under PPV&FR Act. The marker profiles could also be utilised for variety identification and release, since at present, it has been made mandatory to include it in addition to the morphological descriptors.
ABSTRACT
Sugarcane (Saccharum species hybrid) is the major source of sugar (> 80% sugar) in the world and is cultivated in more than 115 countries. It has recently gained attention as a source of biofuel (ethanol). Due to genomic complexity, the development of new genomic resources is imperative in understanding the gene regulation and function, and to fine tune the genetic improvement of sugarcane. In this study, a cDNA library was constructed from mature leaves so as to develop ESTs resources which were further compared with nucleotide and protein databases to explore the functional identity of sugarcane genes. The non-redundant ESTs (unigenes) were categorized into 18 metabolic functions. The major categories were bioenergetics and photosynthesis (4%), cell metabolism (5%), development related protein (3%), membrane-related, mobile genetic elements (5%), signal transduction (2%), DNA (1%), RNA (1%) and protein (2%) metabolism, other metabolic processes (3%), transcription factors (1%), transport (4%) and proteins related to stress/defense (4%). From 540 unique ESTs, 212 simple sequence repeats were identified, of which 206 were from 463 singlets and six were mined from 77 contig sequences. A total of 540 unique EST sequences were used for SSR search of which 97 (17.9%) contained specified SSR motifs, generating 212 unique SSRs. The genes characterized in this study and the EST-derived microsatellite markers identified from the cDNA library will enrich genomic resources for association- and linkage-mapping studies in sugarcane.
ABSTRACT
Ninety two sugarcane varieties from sub-tropical India were subjected to molecular profiling with 174 simple sequence repeat markers and characterized for 23 qualitative (morphological descriptors) and nine quantitative traits that directly or indirectly contribute to yield and juice quality. Using STRUCTURE-based population stratification study and a mixed linear model for marker-trait association (MTA) analysis, a total of 60 MTAs were identified for 22 qualitative traits that were able to explain a significantly higher (up to 40%) proportion of the phenotypic variations compared to all the previous reports of MTA studies in sugarcane. In addition, 21 MTAs stable over the three years of study were also identified for nine quantitative traits that explained 16-37% of the total trait variation. It could be concluded that the qualitative traits that are governed mostly by one or a few genes are more responsive to MTA studies and hence have a better potential to be adopted in marker-assisted breeding programmes in sugarcane. The MTAs identified in this study could also find significant applications in upcoming more stringent IP regime, which may necessitate tracking of specific alleles integrated in breeding programmes.
ABSTRACT
Sugarcane is an important tropical cash crop meeting 75% of world sugar demand and it is fast becoming an energy crop for the production of bio-fuel ethanol. A considerable area under sugarcane is prone to waterlogging which adversely affects both cane productivity and quality. In an effort to elucidate the genes underlying plant responses to waterlogging, a subtractive cDNA library was prepared from leaf tissue. cDNA clones were sequenced and annotated for their putative functions. Major groups of ESTs were related to stress (15%), catalytic activity (13%), cell growth (10%) and transport related proteins (6%). A few stress-related genes were identified, including senescence-associated protein, dehydration-responsive family protein, and heat shock cognate 70 kDa protein. A bioinformatics search was carried out to discover novel microRNAs (miRNAs) that can be regulated in sugarcane plants subjected to waterlogging stress. Taking advantage of the presence of miRNA precursors in the related sorghum genome, seven candidate mature miRNAs were identified in sugarcane. The application of subtraction technology allowed the identification of differentially expressed sequences and novel miRNAs in sugarcane under waterlogging stress. The comparative global transcript profiling in sugarcane plants undertaken in this study suggests that proteins associated with stress response, signal transduction, metabolic activity and ion transport play important role in conferring waterlogging tolerance in sugarcane.
