Analysis of heterosis and quantitative trait loci for kernel shape related traits using triple testcross population in maize.

Analysis of heterosis and quantitative trait loci for kernel shape related traits using triple testcross population in maize.
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DOI:
10.1371/journal.pone.0124779
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Zhang T
Zhang T
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Jiang L;Ge M;Zhao H;Zhang T

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籽粒形状相关性状(KSRTs)对籽粒产量有重要影响。以往的研究多侧重于粒长和粒宽,缺乏对影响粒形性状的综合评价。在本研究中,以B73 × Mo17(IBM)和B73 × Mo17(B73 × Mo17)的82个杂交组合及相应的三重测交群体为材料,研究了6个KSRT的杂种优势、相关性和数量性状位点(QTL):KL、KW、长宽比(LWR)、周长(PL)、籽粒面积(KA)和圆度(CS)。结果表明,大部分KSRT的中亲优势为中等。KL、KW、PL和KA的表现与杂合度呈显著正相关,但Pearson’s R值较低。在KSRT中,PL和KA之间的相关性最强,R值高达0.964。此外,KW、PL、KA和CS与百粒重呈显著正相关。共检测到28个KSRT QTL,其中9个为加性效应,13个为显性效应,6个为显性加性上位效应。单个QTL对总表型变异的贡献率为2.1%~32.9%。在所有KSRT中检测到19个加性×加性双基因上位性互作,其中KW的总R2最高(78.8%),KL、LWR和CS检测到9个显性×显性双基因上位性互作,其中KL、LWR和CS的总R2最高(55.3%)。在显著的双基因互作中,大多数发生在未定位主效QTL的基因组区域之间。这些发现揭示了KSRT遗传基础的复杂性,并从数量遗传学的角度加深了我们对KSRT杂种优势的理解。
Kernel shape related traits (KSRTs) have been shown to have important influences on grain yield. The previous studies that emphasize kernel length (KL) and kernel width (KW) lack a comprehensive evaluation of characters affecting kernel shape. In this study, materials of the basic generations (B73, Mo17, and B73 × Mo17), 82 intermated B73 × Mo17 (IBM) individuals, and the corresponding triple testcross (TTC) populations were used to evaluate heterosis, investigate correlations, and characterize the quantitative trait loci (QTL) for six KSRTs: KL, KW, length to width ratio (LWR), perimeter length (PL), kernel area (KA), and circularity (CS). The results showed that the mid-parent heterosis (MPH) for most of the KSRTs was moderate. The performance of KL, KW, PL, and KA exhibited significant positive correlation with heterozygosity but their Pearson’s R values were low. Among KSRTs, the strongest significant correlation was found between PL and KA with R values was up to 0.964. In addition, KW, PL, KA, and CS were shown to be significant positive correlation with 100-kernel weight (HKW). 28 QTLs were detected for KSRTs in which nine were augmented additive, 13 were augmented dominant, and six were dominance × additive epistatic. The contribution of a single QTL to total phenotypic variation ranged from 2.1% to 32.9%. Furthermore, 19 additive × additive digenic epistatic interactions were detected for all KSRTs with the highest total R2 for KW (78.8%), and nine dominance × dominance digenic epistatic interactions detected for KL, LWR, and CS with the highest total R2 (55.3%). Among significant digenic interactions, most occurred between genomic regions not mapped with main-effect QTLs. These findings display the complexity of the genetic basis for KSRTs and enhance our understanding on heterosis of KSRTs from the quantitative genetic perspective.
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