Molecular characterization of a farmer-preferred maize landrace population from a multiple-stress-prone subtropical lowland environment

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FORTUNATE MAKORE
EDMORE GASURA
CALEB SOUTA
UPENYU MAZARURA
JOHN DERERA
MELULEKI ZIKHALI
CASPER N. KAMUTANDO
COSMOS MAGOROKOSHO
SHORAI DARI

Abstract

Abstract. Makore F, Gasura E, Souta C, Mazamura U, Derera J, Zikhali M, Kamutando CN, Magorokosho C, Dari S. 2021. Molecular characterization of a farmer-preferred maize landrace population from a multiple-stress-prone subtropical lowland environment. Biodiversitas 22: 769-777.  The study was conducted to assess genetic diversity of 372 maize lines using 116 single nucleotide polymorphism (SNP) markers. Three hundred and forty-seven lines were S1 lines (coded J lines) from a local maize landrace population and twenty-five were the widely used standard lines. The number of alleles per marker ranged from two to four and the average was three alleles.  The average polymorphic information content (PIC) value of 0.405 indicates high genetic diversity for maize lines evaluated in this study. Population structure revealed three distinct sub-populations. Sub-population 1 contained two J lines; sub-population 2 contained five J lines and sub-population 3 contained the rest of the J lines and all the standard lines. Analysis of molecular variance (AMOVA) identified 22% variance among and 78% variance within the three subpopulations, indicating high gene exchange and low genetic differentiation. Hierarchical cluster analysis further divided the lines into nine subgroups placing some of the J lines into known heterotic groups', i.e.,  J30_3, J393_4, J393_3, and J393_1 in CIMMYT heterotic group B. Allelic variation observed can be a source of allele combination for breeding programs interested in widening their genetic base. The private alleles that were present in the J lines suggest availability of stress-tolerant genes that breeders can incorporate in new hybrids.

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References
Aci MM, Lupini A, Mauceri A, Morsli A, Khelifi L, Sunseri F. 2019. Genetic variation and structure of maize populations from Saoura and Gourara oasis in Algerian Sahara. BMC genetics. 51(1), 1-19.
Belalia N, Lupini A, […] Sunseri F. 2018. Analysis of genetic diversity and population structure in Saharan maize (Zea mays L.) populations using phenotypic traits and SSR markers. Genetic Resources and Crop Evolution. 66, 243-257
Brauner PC, Schipprack W, […] Melchinger A.E. 2019. Testcross performance of doubled haploid lines from flint maize landraces is promising for broadening the genetic base of elite germplasm. Theoretical and Applied Genetics, 132: 1897-1908
Böhm J, Schipprack W, et al. 2017. Tapping the genetic diversity of landraces in allogamous crops with doubled haploid lines: a case study from European flint maize. Theoretical and Applied Genetics, 130: 861-873
Botstein D, White RL, Skolnick M, Davis RW. 1980. Construction of a genetic-linkage map in man using restriction fragment length polymorphisms. American Journal of Human Genetics, 2: 314-331
Boakyewaa Adu G, Badu-Apraku B, Akromah R, Garcia-Oliveira AL, Awuku FJ, Gedil M. 2019. Genetic diversity and population structure of early-maturing tropical maize inbred lines using SNP markesrs. PLoS ONE 14(4): e0214810.
Collard BCY, Jahufer MMZ, Brouwer JB, Pang ECK. 2005. An Introduction to markers, quantitative trait loci (QTL) mapping and marker assisted selection for crop improvement: The basic concepts. Euphytica, 142:169-196
Dao, A., J. Sanou, V. Gracen and E.Y. Danquanh. 2014. Heterotic relationship between INERA, CIMMYT and IITA maize inbred lines under drought and well-watered conditions. Maydica, 59: 201-210
Earl DA, von Holdt BM. 2012. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conservation Genetic Resources, 4: 359-361
Giordani W, Scapim CA, Ruas PL, Ruas CF, Contreras R, Coan M, Fonseca ICB, Goncalves LS. 2019. Genetic diversity, population structure and AFLP markers associated with maize reaction to sourthern rust. Bragantia Vol. 78 no. 2
Gower JC. 1971. A general coefficient of similarity and some of its properties. Biometrics, 27 (4): 857-871
Guan H, Wang S, Zhang R, Meng Q, Wen H. 2020. Maize genetic diversity and heterosis group. Rev. Fac. Agron (LUZ), 37(2) pp. 1093-1101
Holker AC, Mayer M, Presterl T et al. 2019. European maize landraces made accessible for plant breeding and genome-based studies. Theoretical and Applied Genetics, 132:3333-3345
Makumbi D, Assanga S, Diallo A, Magorokosho C, Asea G, Worku M, Banziger M. 2018. Genetic analysis of tropical Midaltitude adapted maize populations under stress and non-stress conditions. Crop Science, 58:1492-1507
Maxted N, Ford-Lloyd B, Hawkes JG. 1997. Complementary conservation strategies In: Plant genetic conservation: The in situ Approach, Maxted N.; Ford-Lloyd B, Hawkes JG. (eds), 15-40, ISBN-10 0412637308, Chapman & Hall, London.
Meirmans PG. 2012. AMOVA-Based clustering of population genetic data. Journal of Heredity, Volume 103, Issue 5, pp 744-750
Miti F, Tongoona P, Derera J. 2010. S1 selection of local maize landraces for low soil nitrogen tolerance in Zambia. African Journal of Plant Science, Vol.4 (3) pp. 067-081
Musundire L, Derera J, Dari S, Tongoona P. 2019. Genetic variation and path analysis of introgressed maize inbred lines for economic traits. Journal of Agricultural Science, Volume, 11 (17)
Nda HA, Akanvou L, Pokou ND, Akanza KP, Kouakou CK, Zoro Bi IA. 2016. Genetic diversity and population structure of maize landraces from Côte d’Ivoire. African Journal of Biotechnology, Vol. 15(44), pp. 2507-2516
Nei M. 1973. Analysis of gene diversity in subdivided populations. Proceedings of National Academy of Sciences, USA. 70: 3321-3
Nelimor C, Badu-Aprakub B, Nguetta SPA, Tetteh AY, Garcia-Oliveira AL. 2019. Phenotypic characterization of maize landraces from Sahel and Coastal West Africa reveals marked diversity and potential for genetic improvement. Journal of Crop Improvement, 1: 1-18
Nelson PT, Krakowsky MD, Coles ND, Holland JB et al. 2016. Genetic characterization of the North Carolina State University maize lines. Crop Science, 56: 259-276
Nyaligwa L, Hussein S, Amelework B, Ghebrehi¬wot H. 2015. Genetic diversity analysis of elite maize inbred lines of diverse sources using SSR markers. Maydica, 60
Pagnotta MA. 2018. Comparison among methods and statistical software packages to analyze germplasm genetic diversity by means of codominant markers. Multidisciplinary Scientific Journal, 1: 197-215
Peakall R, Smouse PE. 2012. GenAlex 6.5: genetic analysis in Excel. Populations genetic Software for Teaching and Research. Bioinformatics, 28 (19): 2537-9
Pritchard JK, Stephens M, Donnelly P. 2000. Inference of population structure using multilocus genotype data. Genetics, 155: 945-959
Rezende WS, Beyene Y, Mugo S et al. 2019. Performance and yield stability of maize hybrids in stress-prone environments in eastern Africa. The Crop Journal, https://doi.org/10.1016/j.cj.2019.08.001
R Development Core Team. 2015. R: A language and environment for statistical Computing. R Foundation for Staistical Computing, Vienna.
Saghai-Maroof MA, Soliman KM, Jorgensen RA, Allard RW. 1984. Ribosomal DNA spacer length polymorphism in barley: Mendellian inheritance, chromosomal location and population dynamics. Proceedings of the National Academy of Sciences of the United States of America, 81: 8014-8018
Shete S, Tiwari H, Elston RC. 2000. On estimating the heterozygosity and polymorphism information content value. Theoretical Population Biology, 57: 265-271
Springer NM, Stupar RM. 2007. Allelic variation and heterosis in maize how do two halves make more than a whole? Genome Research, 17 (3): 264-275
Strigens A, Schipprack W, Reif JC, Melchinger AE. 2013. Unlocking the genetic diversity of maize landraces with double haploid opens new avenues for breeding. PLoS ONE, 8(2):e57234
Whitt SR, Wilson LM, Tenailon MI, Gaut BS, Buckler ES. 2002. Genetic diversity and selection in the maize starch pathway. Proceedings of the National Academy of Sciences of the United States of America, 99 (20) 12959-62
Zhang X, Zhang H, Li L et al. 2016. Characterizing the population structure and genetic diversity of maize breeding germplasm in Southwest China using genome-wide SNP markers BMC Genomics, 17:697