Table 5.

Most significant p-values revealed by the association between classes of carotenoid types and abundance of transcript coding for enzymes related to carotenoid biosynthesis obtained with microarray data

Enzyme	Correlation (r)	S.E. of r	Significance P (r = 0)	n
Total Cyclic Carotenoids
PSY	0.262	0.042	*	5
PDS	0.513	0.438	ns	5
ZCD	0.420	0.200	ns	5
CRTISO	0.486	0.347	ns	5
LYCb	0.073	0.001	***	5
HYb	0.575	0.885	ns	5
NXS	0.575	0.877	ns	5
TOTAL Acyclic Carotenoids
PSY	0.648	0.597	ns	5
PDS	0.611	0.496	ns	5
ZCD	0.706	0.954	ns	5
CRTISO	0.424	0.200	ns	5
LYCb	0.703	0.893	ns	5
HYb	0.616	0.509	ns	5
NXS	0.616	0.508	ns	5
TOTAL β − carotene
PSY	0.423	0.199	ns	5
PDS	0.664	0.655	ns	5
ZCD	0.536	0.348	ns	5
CRTISO	0.625	0.531	ns	5
LYCb	0.048	0.002	**	5
HYb	0.707	0.960	ns	5
NXS	0.706	0.952	ns	5
TOTAL Xanthophylls
PSY	0.343	0.126	ns	5
PDS	0.052	0.003	**	5
X ZCD	0.653	0.616	ns	5
CRTISO	0.701	0.870	ns	5
LYCb	0.663	0.653	ns	5
HYb	0.264	0.072	ns	5
NXS	0.259	0.0706	ns	5

Carotenoid intermediates were pooled based on classes of carotenoid for end products of group of reactions type as illustrated in Fig. 2. Pearson product moment correlation coefficient (r) was obtained for linear association of total cyclic, total acyclic, total β − carotene, and total β_xanthophylls content (μg/g DWt) against abundance of transcripts coding for enzyme 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. *significant, **highly significant, ***most significant. Relevant cDNA sequences were annotated to the cassava