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. 2016 Jun 10;16:133. doi: 10.1186/s12870-016-0826-0

Table 4.

Correlation parameters revealed among different classes of carotenoid types and abundance of transcripts coding for six major enzymes based on qRT_PCR

Total acyclic carotenoid correlation
Enzyme cDNA code in microarray data base Cassava genome code p value
   ZDS CV03051B1A05.f1 cassava4.1_004265m 0.109
Total β-carotene correlation
   LCYe CV03088A2B02.f1 cassava4.1_005406m 0.067
   NCED3 CV03105A1F08.f1 cassava4.1_029535m 0.046
   PDS CV03049A2F07.f1 cassava4.1_004359m 0.037
   PDS CV03110A2H07.f1 0.139
   ZEP CV03090B2B05.f1 0.003
   ZEP CV03104A2A10.f1 0.009
Total Xanthophyll correlation
   LCYe CV03127A2F10.f1 0.007

Carotenoid intermediates were pooled based on classes of carotenoid end products including cyclic (β-carotene + β-xanthophylls), and acyclic (phytoene + phytofluene + ζ-carotene + neurosporene + β-zeacarotene + lycopene) carotenoids. Pearson product moment correlation coefficient (r) was obtained for linear association of total cyclic, total acyclic, total β − carotene and total xanthophylls against abundance of transcripts coding for enzymes related to carotenoids synthesis. The values of SE of r accounts for the standard error of the estimates by the linear regression and represents the level of accuracy of predictions. If probability that r = 0, P(r = 0) is < =0.05, r is significantly different from 0 and some degree of correlation is shown. The value n refers to number of replication