2014
DOI: 10.1101/005751
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Genomic, transcriptomic and phenomic variation reveals the complex adaptation of modern maize breeding

Abstract: The temperate-tropical division of early maize germplasm to different agricultural environments was arguably the greatest adaptation process associated with the success and near ubiquitous importance of global maize production. Deciphering this history is challenging, but new insight has been gained from the genomic, transcriptomic and phenotypic variation collected from 368 diverse temperate and tropical maize inbred lines in this study. This is the first attempt to systematically explore the mechanisms of th… Show more

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Cited by 20 publications
(29 citation statements)
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“…The genetic differentiation among the groups was significant, and pair-wise fixation index ranged from 0.024 between the LSC and the IDT subpopulations to 0.191 between the mBSSS and the IDT subpopulations. The average Fst value was 0.069, larger than in breeding programs of the Corn Belt (Romay et al, 2013), between (Liu et al, 2015) and between elite Chinese lines and public US lines (Jiao et al, 2012). However, obtained Fst value in this study was smaller compared to Fst = 0.165 in a diverse panel of 284 maize inbreds (Schaefer, Bernardo, 2013).…”
Section: Resultscontrasting
confidence: 42%
“…The genetic differentiation among the groups was significant, and pair-wise fixation index ranged from 0.024 between the LSC and the IDT subpopulations to 0.191 between the mBSSS and the IDT subpopulations. The average Fst value was 0.069, larger than in breeding programs of the Corn Belt (Romay et al, 2013), between (Liu et al, 2015) and between elite Chinese lines and public US lines (Jiao et al, 2012). However, obtained Fst value in this study was smaller compared to Fst = 0.165 in a diverse panel of 284 maize inbreds (Schaefer, Bernardo, 2013).…”
Section: Resultscontrasting
confidence: 42%
“…The genomic era holds promise for ecological speciation research, as it has allowed for the detection of divergent signatures of selection on a genomewide scale. In recent years, the application of genomics to nonmodel systems has provided new insight into mechanisms underlying lineage-specific adaptations in a range of taxa (Cai et al, 2013;Li, Li, Jia, Caicedo, & Olsen, 2017;Liu et al, 2015;Qiu et al, 2012;Zhan et al, 2013). It has also provided insight into the genomic architecture of adaptation and speciation (Cruickshank & Hahn, 2014;Larson et al, 2017;Strasburg et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Among the ePAV genes, 56 (0.42%) were significantly (P < 7.49E-5, 1/n) associated with 15 agronomic traits and 1,967 (14.74%) associated with 526 metabolic traits including content of 18 amino acids (Table S9, Liu et al 2015).…”
Section: Maize Pan-transcriptome Plays An Important Role In Regulatinmentioning
confidence: 99%
“…Almost 34% of them were found to be associated with metabolic traits. The differences in metabolism -related genes may be associated with differential environmental effects (Liu et al 2015). The novel sequences involved in development, such as beta-tubulin, also likely contribute to adaptation.…”
Section: Cc-by-nc-nd 40 International License Peer-reviewed) Is the mentioning
confidence: 99%
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