Genotypic and phenotypic characterization of a large, diverse population of maize near-isogenic lines. Morales, L., Repka, A. C., Swarts, K. L., Stafstrom, W. C., He, Y., Sermons, S. M., Yang, Q., Lopez-Zuniga, L. O., Rucker, E., Thomason, W. E., Nelson, R. J., & Balint-Kurti, P. J. The Plant Journal, 103(3):1246–1255, 2020. _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/tpj.14787
Genotypic and phenotypic characterization of a large, diverse population of maize near-isogenic lines [link]Paper  doi  abstract   bibtex   
Genome-wide association (GWA) studies can identify quantitative trait loci (QTL) putatively underlying traits of interest, and nested association mapping (NAM) can further assess allelic series. Near-isogenic lines (NILs) can be used to characterize, dissect and validate QTL, but the development of NILs is costly. Previous studies have utilized limited numbers of NILs and introgression donors. We characterized a panel of 1270 maize NILs derived from crosses between 18 diverse inbred lines and the recurrent inbred parent B73, referred to as the nested NILs (nNILs). The nNILs were phenotyped for flowering time, height and resistance to three foliar diseases, and genotyped with genotyping-by-sequencing. Across traits, broad-sense heritability (0.4–0.8) was relatively high. The 896 genotyped nNILs contain 2638 introgressions, which span the entire genome with substantial overlap within and among allele donors. GWA with the whole panel identified 29 QTL for height and disease resistance with allelic variation across donors. To date, this is the largest and most diverse publicly available panel of maize NILs to be phenotypically and genotypically characterized. The nNILs are a valuable resource for the maize community, providing an extensive collection of introgressions from the founders of the maize NAM population in a B73 background combined with data on six agronomically important traits and from genotyping-by-sequencing. We demonstrate that the nNILs can be used for QTL mapping and allelic testing. The majority of nNILs had four or fewer introgressions, and could readily be used for future fine mapping studies.
@article{morales_genotypic_2020,
	title = {Genotypic and phenotypic characterization of a large, diverse population of maize near-isogenic lines},
	volume = {103},
	copyright = {© 2020 Society for Experimental Biology and John Wiley \& Sons Ltd},
	issn = {1365-313X},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/tpj.14787},
	doi = {10.1111/tpj.14787},
	abstract = {Genome-wide association (GWA) studies can identify quantitative trait loci (QTL) putatively underlying traits of interest, and nested association mapping (NAM) can further assess allelic series. Near-isogenic lines (NILs) can be used to characterize, dissect and validate QTL, but the development of NILs is costly. Previous studies have utilized limited numbers of NILs and introgression donors. We characterized a panel of 1270 maize NILs derived from crosses between 18 diverse inbred lines and the recurrent inbred parent B73, referred to as the nested NILs (nNILs). The nNILs were phenotyped for flowering time, height and resistance to three foliar diseases, and genotyped with genotyping-by-sequencing. Across traits, broad-sense heritability (0.4–0.8) was relatively high. The 896 genotyped nNILs contain 2638 introgressions, which span the entire genome with substantial overlap within and among allele donors. GWA with the whole panel identified 29 QTL for height and disease resistance with allelic variation across donors. To date, this is the largest and most diverse publicly available panel of maize NILs to be phenotypically and genotypically characterized. The nNILs are a valuable resource for the maize community, providing an extensive collection of introgressions from the founders of the maize NAM population in a B73 background combined with data on six agronomically important traits and from genotyping-by-sequencing. We demonstrate that the nNILs can be used for QTL mapping and allelic testing. The majority of nNILs had four or fewer introgressions, and could readily be used for future fine mapping studies.},
	language = {en},
	number = {3},
	urldate = {2024-03-22},
	journal = {The Plant Journal},
	author = {Morales, Laura and Repka, A. C. and Swarts, Kelly L. and Stafstrom, William C. and He, Yijian and Sermons, Shannon M. and Yang, Qin and Lopez-Zuniga, Luis O. and Rucker, Elizabeth and Thomason, Wade E. and Nelson, Rebecca J. and Balint-Kurti, Peter J.},
	year = {2020},
	note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/tpj.14787},
	keywords = {Zea mays, allelic analysis, disease resistance, flowering time, genetics, genome-wide association, genotyping-by-sequencing, maize, near-isogenic lines, plant height, quantitative trait loci},
	pages = {1246--1255},
}

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