Genome-Wide Identification of Putative MicroRNAs in Cassava (Manihot esculenta Crantz) and Their Functional Landscape in Cellular Regulation

Table 2

Statistical confidence of predicted miRNAs. Comparison between predicted loci and previously identified cassava pre-miRNAs and hypergeometric probability calculation for obtaining equal or more published pre-miRNAs in our prediction from random selection without replacement. The numbers in parenthesis represent number of miRNAs classified by family (known-family miRNAs, unknown-family miRNAs).

Publication	Technique	Condition	Number of miRNAs	Number of miRNAs found in our prediction (X)	p-value; (Hypergeometric probability)
Patanun et al. 2012	Template-based method	-	151; (151,0)	15; (15,0)	4.89x10^−11
Pérez-quintero et al. 2012	Deep sequencing	Bacterial infection (Xam)	126; (114,12)	9; (9,0)	5.27x10^−6
Ballén-taborda et al. 2013	Deep sequencing	Heat and drought stress	951; (69,882)	71; (6,65)	4.28x10^−38
Wang et al. 2014	Deep sequencing	Normal; (fresh young leaves)	116; (105,11)	2; (2,0)	2.13x10^−1
Xia et al. 2014	Deep sequencing	Chilling response and stress acclimation	202; (166,36)	13; (7,6)	1.59x10^−7

p (x ≥ X), where X is number of previously reported miRNAs found in our predicted loci.