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Correction: Mendelian and Non-Mendelian Regulation of Gene Expression in Maize

机译:更正:玉米基因表达的孟德尔和非孟德尔调​​控

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There are errors with the eQTL effects reported in this article. The effects should be reversed; specifically, the base allele in the contrast to derive the additive effects should be B73, rather than Mo17. The authors apologize for the errors and provide further details and corrections to the text, the Fig 3 legend, and Tables 1, S3 and S4 below. The reversal of the eQTL effect does not affect the main conclusions of the manuscript, as subsequent results were gained by using the RPKM values from individual RILs and not the eQTL mapping results. In Table 1 , the values of the 8~(th)and 9~(th)columns (B73~(c)and Mo17~(d)) should be switched. Additionally, instead of ten eQTL hotspots that contain at least 200 eQTL there are only nine eQTL hotspots that contain at least 200 eQTLs. The corrected version of Table 1 is below, and includes only nine hotspots with at least 200 eQTLs. 10.1371/journal.pgen.1007234.t001 Table 1 Trans -eQTL hotspots with at least 200 trans -eQTLs. Hotspot_name Chr StartPos (Mb) EndPos (Mb) #_ cis ~(a) #_ trans ~(b) #_eQTL/ (Mb×#_gene) B73 ~(C) Mo17 ~(d) Sig.Bias ~(e) GO Term enrichment MaizeCyc enrichment Zm_eQTL_HS14 2 3 5 56 353 3.18 64 289 4.77E-33 Yes No Zm_eQTL_HS20 2 202 206 70 263 2.10 102 161 2.75E-04 Yes No Zm_eQTL_HS25 3 4 6 28 228 3.51 118 110 5.96E-01 Yes No Zm_eQTL_HS29 3 214 218 63 336 2.95 249 87 9.76E-19 No No Zm_eQTL_HS35 4 157 160 30 379 5.92 58 321 1.38E-41 Yes Yes Zm_eQTL_HS37 4 176 182 45 420 2.80 146 274 4.22E-10 Yes Yes Zm_eQTL_HS41 4 236 238 38 259 2.78 17 242 2.04E-44 Yes Yes Zm_eQTL_HS65 7 156 160 51 274 2.14 192 82 3.03E-11 Yes Yes Zm_eQTL_HS95 10 145 147 35 221 2.83 157 64 3.95E-10 Yes Yes ~(a,b): Indicates the number of cis - and trans -eQTLs in each eQTL hotspot, respectively. ~(c): Indicates the number of eQTLs, where the B73 allele increased the expression level in the RIL population. ~(d): Indicates the number of eQTLs, where the Mo17 allele increased the expression level in the RIL population. ~(e): Shows the significance level deviating from the random distribution between B73 and Mo17. The GO enrichments and the pathway enrichments of the regulated genes by hotspots were conducted using BiNGO plugin in Cytoscape based on the annotation information from AgriGO and MaizeCyc database, respectively. The results of GO enrichments and pathway enrichments are in Table S5 and Table S6, respectively. In the legend for Fig 3 , the phrase “the additive effects of the trans -eQTLs of Mo17 alleles” should be “the additive effects of the trans -eQTLs of B73 alleles” and the phrase “ 10 trans -eQTLs hotspots” should be “ nine trans -eQTLs hotspots”. The corrected legend and a copy of the figure are included below. 10.1371/journal.pgen.1007234.g001 Fig 3 eQTL mapping, trans -eQTL hotspots, and pathways regulated by three trans -eQTL hotspots. (A) Genomic distribution of eQTLs identified in maize shoot apices. The x-axis indicates the genomic positions of eQTLs, while the y-axis shows the genomic positions of expressed genes (e-traits). The 10 maize chromosomes are separated by grey lines. The color of each point reflects the R ~(2)value. eQTLs with R ~(2)values greater than 20% were plotted in red, R ~(2)values less than 20% are indicated in blue. Totally, 30,774 eQTLs were divided into 11,504 (~37%) cis -eQTLs and 19,270 (~63%) trans -eQTLs. (B) The distribution of trans -eQTLs hotspots. The x-axis shows the genomic position of detected eQTLs (unit = 1 Mb), while the y-axis represents the number of trans -eQTLs in each 1 Mb length genomic region. The horizontal blue line for eQTL hotspots indicates the threshold, which is represented by the maximum number of trans -eQTLs expected to randomly fall into any interval with a genome-wide P = 0.01. The 10 maize chromosomes were divided by vertical black lines. The black lines linking (A) and (B) show several examples of the corresponding trans -eQTL hotspots in (A) and (B). A total of 96 trans -eQTLs hotspots were identified and nine trans -eQTLs hotspots regulated at least 200 trans -eQTLs. (C) Genes regulated by three trans -eQTL hotspots are involved in specific metabolic pathways. The expression levels of these genes in pathways were regulated by trans -eQTLs located in these hotspots. The numbers beside these genes are the proportional changes which were the additive effects of the trans -eQTLs of B73 alleles divided by the population mean of expression levels of the target genes. In the Results section, the second paragraph under the sub-heading ‘Mapping the basis of expression level variation’ should be corrected to reflect the changes made to Table 1 and the Fig 3 legend: “The genomic distribution of trans -eQTL was assessed in an attempt to identify potential trans -eQTL hotspots that might reflect substantial regulatory differences between B73 and Mo17. The analysis of trans -eQTL density in a 1 Mb (which is slightly larger than the average physical distance between adjacent markers with a recombination event
机译:本文报告的eQTL效果存在错误。效果应相反;具体而言,用于得出累加效应的反差的基本等位基因应该是B73,而不是Mo17。作者对此错误表示歉意,并提供了更多详细信息和更正文字,图3图例以及下面的表1,S3和S4。 eQTL效果的逆转不影响手稿的主要结论,因为随后的结果是通过使用各个RIL的RPKM值获得的,而不是eQTL映射结果。在表1中,应该切换第8列和第9列(B73〜(c)和Mo17〜(d))的值。此外,不是十个包含至少200个eQTL的eQTL热点,而是九个包含至少200个eQTL的eQTL热点。表1的更正版本如下,并且仅包括具有至少200个eQTL的9个热点。 10.1371 / journal.pgen.1007234.t001表1具有至少200个trans -eQTL的trans -eQTL热点。 Hotspot_name Chr StartPos(Mb)EndPos(Mb)#_顺式〜(a)#_反式〜(b)#_eQTL /(Mb×#_gene)B73〜(C)Mo17〜(d)Sig.Bias〜(e) GO术语富集MaizeCyc富集Zm_eQTL_HS14 2 3 5 56 353 3.18 64 289 4.77E-33是否Zm_eQTL_HS20 2 202 206 70 263 2.10 102 161 2.75E-04是否Zm_eQTL_HS25 3 4 6 28 228 3.51 118 110 5.96E-01是否Zm_eQTL_HS29 3 214 218 63 336 2.95 249 87 9.76E-19否否Zm_eQTL_HS35 4 157 160 30 379 5.92 58 321 1.38E-41是是Zm_eQTL_HS37 4 176 182 45 420 2.80 146 274 4.22E-10是是Zm_eQTL _HS41 4 236 259 2.78 17 242 2.04E-44是是Zm_eQTL_HS65 7 156 160 51 274 2.14 192 82 3.03E-11是是Zm_eQTL_HS95 10 145 147 35 221 2.83 157 64 3.95E-10是是〜(a,b):表示数字每个eQTL热点中分别有顺式和反式eQTL的数量。 〜(c):指示eQTL的数量,其中B73等位基因增加RIL群体中的表达水平。 〜(d):指示eQTL的数量,其中Mo17等位基因增加RIL群体中的表达水平。 〜(e):显示偏离B73和Mo17之间的随机分布的显着性水平。利用Cytoscape中的BiNGO插件,分别基于来自AgriGO和MaizeCyc数据库的注释信息,通过热点进行了GO富集和受调控基因的途径富集。 GO富集和途径富集的结果分别在表S5和表S6中。在图3的图例中,“ Mo17等位基因的反式-eQTL的加和效应”应为“ B73等位基因的反式-eQTL的加合效应”,而“ 10个反式-eQTL的热点”应为“九个跨-eQTL热点”。更正后的图例和该图的副本包括在下面。 10.1371 / journal.pgen.1007234.g001图3 eQTL映射,反eQTL热点和受三个反eQTL热点调控的途径。 (A)在玉米芽尖中鉴定出的eQTL的基因组分布。 x轴表示eQTL的基因组位置,而y轴表示表达的基因的基因组位置(e-性状)。玉米的10条染色体用灰线隔开。每个点的颜色反映了R〜(2)值。 R〜(2)值大于20%的eQTL用红色绘制,R〜(2)值小于20%的蓝色表示。总共30774个eQTL分为11504个(〜37%)顺式-eQTL和19270个(〜63%)反式-eQTL。 (B)反eQTL热点的分布。 x轴表示检测到的eQTL的基因组位置(单位= 1 Mb),而y轴表示每个1 Mb长度的基因组区域中反式-eQTL的数量。 eQTL热点的水平蓝线表示阈值,该阈值由预期随机落入全基因组范围P = 0.01的任何区间的反式-eQTL的最大数量表示。用垂直的黑线划分了10个玉米染色体。连接(A)和(B)的黑线显示了(A)和(B)中相应的反-eQTL热点的几个示例。总共鉴定出96个反式eQTL热点,而9个反式eQTL热点至少调节了200个反式eQTL。 (C)受三个反式-eQTL热点调控的基因参与特定的代谢途径。这些基因在途径中的表达水平由位于这些热点的反式-eQTLs调控。这些基因旁边的数字是成比例的变化,这是B73等位基因的反式-eQTL的相加作用除以目标基因表达水平的总体平均值。在结果部分中,应更正小标题“映射表达水平变异的基础”下的第二段,以反映对表1和图3图例所做的更改:“对反式-eQTL的基因组分布进行了评估试图识别可能反映B73和Mo17之间实质性监管差异的潜在反式-eQTL热点。分析1 Mb中的反式-eQTL密度(略大于带有重组事件的相邻标记之间的平均物理距离)

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