BackgroundPearl millet is a staple food for people in arid and semi-arid regions of Africa and South Asia due to its high drought tolerance and nutritional qualities. A better understanding of the genomic diversity and population structure of pearl millet germplasm is needed to support germplasm conservation and genetic improvement of this crop. Here we characterized two pearl millet diversity panels, (i) a set of global accessions from Africa, Asia, and the America, and (ii) a collection of landraces from multiple agro-ecological zones in Senegal.ResultsWe identified 83,875 single nucleotide polymorphisms (SNPs) in 500 pearl millet accessions, comprised of 252 global accessions and 248 Senegalese landraces, using genotyping by sequencing (GBS) of PstI-MspI reduced representation libraries. We used these SNPs to characterize genomic diversity and population structure among the accessions. The Senegalese landraces had the highest levels of genetic diversity (π), while accessions from southern Africa and Asia showed lower diversity levels. Principal component analyses and ancestry estimation indicated clear population structure between the Senegalese landraces and the global accessions, and among countries in the global accessions. In contrast, little population structure was observed across in the Senegalese landraces collections. We ordered SNPs on the pearl millet genetic map and observed much faster linkage disequilibrium (LD) decay in Senegalese landraces compared to global accessions. A comparison of pearl millet GBS linkage map with the foxtail millet (Setaria italica) and sorghum (Sorghum bicolor) genomes indicated extensive regions of synteny, as well as some large-scale rearrangements in the pearl millet lineage.ConclusionsWe identified 83,875 SNPs as a genomic resource for pearl millet improvement. The high genetic diversity in Senegal relative to other regions of Africa and Asia supports a West African origin of this crop, followed by wide diffusion. The rapid LD decay and lack of confounding population structure along agro-ecological zones in Senegalese pearl millet will facilitate future association mapping studies. Comparative population genomics will provide insights into panicoid crop evolution and support improvement of these climate-resilient crops.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-015-2255-0) contains supplementary material, which is available to authorized users.
Thisreviewsummarizesthemainmolecularmarkersandtheirapplicationson pearl milletaswellasasummaryof the discoveriesonitsreferencegenome.Molecularmarkers,unlikemorphologicalandbiochemicalmarkers,arehighlypolymorphicandneutral. Theirgreatliabilitycomesfromthefactthattheydirectlyconcern the DNA.Theyhavebeenwidelyusedonpearl millet,rangingfromlow andmedium-throughputtohigh-throughput markers, targetingspecificregionsorcharacterizinggermplasmat thegenomelevel. Many studiesrelatetomappingusingdifferentpopulationsandhaveidentifiedQTLslinkedtoimportantagronomictraits(floweringtime,tolerancetodrought,to mildew,phosphorus absorption),iron content...Studieshavealsobeenconductedondomesticationsyndromeandshowedtheir importance of genes flowfromwildmilletstocultivatedvarieties. Genotyping-by-Sequencing - a rapid, cost-effective and reduced representation sequencing method – has been used to assess genetic diversity, population structure, LD and heterotic pool formation in pearl millet. A draft genome sequence that can serve as a reference for further development of genomics-assisted breeding is now available. It is an important milestone in generating genomic resources for pearl millet. Annotation of 24,000 genes indicates that enrichment of wax biosynthesis genes providing potential genetic mechanisms for heat and drought tolerance. Althoughmolecularmarkersarewidelyappliedtomillet,geneticandgenomicresourcesarestilllimitedcomparedtootherimportantcereals.However,theavailabilityofacollectionofinbredlinesrepresentativeofgermplasmandareferencegenomeoffernewperspectivesintheimprovement of pearl millet.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.