Dissecting the genetics of cold tolerance in a multiparental maize population
- 118 Downloads
We identify the largest amount of QTLs for cold tolerance in maize; mainly associated with photosynthetic efficiency, which opens new possibilities for genomic selection for cold tolerance in maize.
Breeding for cold tolerance in maize is an important objective in temperate areas. The objective was to carry out a highly efficient study of quantitative trait loci (QTLs) for cold tolerance in maize. We evaluated 406 recombinant inbred lines from a multi-parent advanced generation intercross (MAGIC) population in a growth chamber under cold and control conditions, and in the field at early and normal sowing. We recorded cold tolerance-related traits, including the number of days from sowing to emergence, chlorophyll content and maximum quantum efficiency of photosystem II (Fv/Fm). Association mapping was based on genotyping with near one million single nucleotide polymorphism (SNP) markers. We found 858 SNPs significantly associated with all traits, most of them under cold conditions and early sowing. Most QTLs were associated with chlorophyll and Fv/Fm. Many candidate genes coincided between the current research and previous reports. These results suggest that (1) the MAGIC population is an efficient tool for identifying QTLs for cold tolerance; (2) most QTLs for cold tolerance were associated with Fv/Fm; (3) most of these QTLs were located in specific genomic regions, particularly bin 10.04; (4) the current study allows genetically improving cold tolerance with genome-wide selection.
Best linear unbiased estimators
Genome-wide association analyses
Population of RIL released from the maize inbred lines B73 and Mo17
Multi-parent advanced generations intercross population
Quantitative trait loci
Single nucleotide polymorphism
Soil–plant analyses development is the relative amount of chlorophyll estimated by measuring the absorbance of the leaf in two wavelength regions
Maximum quantum efficiency of photosystem II
This research was supported by the Spanish Plan for Research and Development (AGL2016-77628-R) and funded in part by the European Regional Development Fund (FEDER). The genotypic data were provided by the Biotechnological Institute of the Cornell University USA). Q Yi acknowledges a grant from the China Scholarship Council (CSC).
Author contribution statement
BO and PR have designed the experiments. LAI and PR have conducted the experiments. QY and RAM have made the statistical analyses. QY has written the text. PR has edited and submitted the final manuscript.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Bandillo N, Raghavan C, Muyco PA, Sevilla MA, Lobina IT, Dilla-Ermita CJ, Tung CW, McCouch S, Thomson M, Mauleon R, Singh RK, Gregorio G, Redoña E, Leung H (2013) Multi-parent advanced generation inter-cross (MAGIC) populations in rice: progress and potential for genetics research and breeding. Rice 6(1):11PubMedPubMedCentralCrossRefGoogle Scholar
- Dell’Acqua M, Gatti DM, Pea G, Cattonaro F, Coppens F, Magris G, Hlaing AL, Aung HH, Nelissen H, Baute J, Frascaroli E, Churchill GA, Inzé D, Morgante M, Pè ME (2015) Genetic properties of the MAGIC maize population: a new platform for high definition QTL mapping in Zea mays. Genome Biol 16:167PubMedPubMedCentralCrossRefGoogle Scholar
- Guerra-Peraza O, Leipner J, Reimer R, Thuy Nguyen H, Stamp P, Fracheboud Y (2011) Temperature at night affects the genetic control of acclimation to cold in maize seedlings. Maydica 56:366–377Google Scholar
- Holland JB, Nyquist WE, Cervantes-Martínez CT (2005) Estimated an interpreting heritability for plant breeding. In: Janick J (ed.) Plant Breeding Reviews. Hoboken, New Jersey, USA: Jonh Wiley & Sons press, Inc pp. 9–112Google Scholar
- Hu G, Li Z, Lu Y, Li C, Gong S, Yan S, Li G, Wang M, Ren H, Guan H, Zhang Z, Qin D, Chai M, Yu J, Li Y, Yang D, Wang T, Zhang Z (2017) Genome-wide association study identifed multiple genetic loci on chilling resistance during germination in maize. Sci Rep 7:10840PubMedPubMedCentralCrossRefGoogle Scholar
- Jiménez-Galindo JC, Malvar RA, Butrón A, Santiago R, Samayoa LF and Ordás B (2019) Mapping of resistance to Mediterranean corn borer in a MAGIC population of maize. BMC Plant Biol (accepted)Google Scholar
- Li Y, Li C, Bradbury P, Liu X, Lu F, Romay CM, Glaubitz JC, Wu X, Peng B, Shi Y, Song Y, Zhang D, Buckler ES, Zhang Z, Li Y, Wang T (2016) Identification of genetic variants associated with maize flowering time using an extremely large multigenetic background population. Plant J 86:391–402PubMedCrossRefGoogle Scholar
- Li P, Cao W, Fang H, Xu S, Yin S, Zhang Y, Lin D, Wang J, Chen Y, Xu C, Yang Z (2017a) Transcriptomic profiling of the maize (Zea mays L.) leaf response to abiotic stresses at the seedling stage. Front Plant Sci 8: 290Google Scholar
- McMullen MD, Kresovich S, Villeda HS, Bradbury P, Li H, Sun Q, Flint-Garcia S, Thornsberry J, Acharya C, Bottoms C, Brown P, Browne C, Eller M, Guill K, Harjes C, Kroon D, Lepak N, Mitchell SE, Peterson B, Pressoir G, Romero S, Oropeza Rosas M, Salvo S, Yates H, Hanson M, Jones E, Smith S, Glaubitz JC, Goodman M, Ware D, Holland JB, Buckler ES (2009) Genetic properties of the maize nested association mapping population. Science 325:737–740PubMedCrossRefGoogle Scholar
- Olukolu B, Wang G, Vontimitta V, Venkata BP, Marla S, Ji J, Gachomo E, Chu K, Negeri A, Benson J, Nelson R, Bradbury P, Nielsen D, Holland JB, Balint-Kurti P, Johal G (2014) A genome-wide association study of the maize hypersensitive defense response identifies genes that cluster in related pathways. PLoS Genet 10:e1004562PubMedPubMedCentralCrossRefGoogle Scholar
- Revilla P, Butrón A, Cartea ME, Malvar RA, Ordás A (2005) Breeding for cold tolerance. In: Ashraf M, Harris PJC (eds) Abiotic Stresses. Plant resistance through breeding and molecular approaches. The Haworth Press Inc, New York, pp 301–398Google Scholar
- Revilla P, Rodríguez VM, Ordás A, Rincent R, Charcosset A, Giauffret C, Melchinger AE, Schön CC, Bauer E, Altmann T, Brunel D, Moreno-González J, Campo L, Ouzunova M, Laborde J, Álvarez Á, Ruíz de Galarreta JI, Malvar RA (2014) Cold tolerance in two large maize inbred panels adapted to European climates. Crop Sci 54:1981–1991CrossRefGoogle Scholar
- Revilla P, Rodríguez VM, Ordás A, Rincent R, Charcosset A, Giauffret C, Melchinger AE, Schön CC, Bauer E, Altmann T, Brunel D, Moreno-González J, Campo L, Ouzunova M, Álvarez Á, Ruíz de Galarreta JI, Laborde J, Malvar RA (2016) Association mapping for cold tolerance in two large maize inbred panels. BMC Plant Biol 16:127PubMedPubMedCentralCrossRefGoogle Scholar
- Sen TZ, Harper LC, Schaeffer ML, Andorf CM, Seigfried TE, Campbell DA, Lawrence CJ (2010) Choosing a genome browser for a model organism database: surveying the maize community. Database 2010: baq007 http: //database. oxfordjournals.org/content/2010/baq007.abstractGoogle Scholar
- Strigens A, Freitag NM, Gilbert X, Grieder C, Riedelsheimer C, Schrag TA, Messmer R, Melchinger AE (2013) Association mapping for chilling tolerance in elite flint and dent maize inbred lines evaluated in growth chamber and field experiments. Plant Cell Environ 36:1871–1887PubMedCrossRefGoogle Scholar
- Xiao Y, Tong H, Yang X, Xu S, Pan Q, Qiao F, Raihan MS, Luo Y, Liu H, Zhang X, Yang N, Wang X, Deng M, Jin M, Zhao L, Luo X, Zhou Y, Li X, Liu J, Zhan W, Liu N, Wang H, Chen G, Cai Y, Xu G, Wang W, Zheng D, Yan J (2016) Genome-wide dissection of the maize ear genetic architecture using multiple populations. New Phytol 210:1095–1106PubMedCrossRefGoogle Scholar