Marker-assisted selection for mineral (Iron and zinc) rich lines in Indica rice (Oryza sativa L.)
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Date
2017
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CCSHAU
Abstract
Molecular markers provide valuable tools to identify and quantify genetic diversity within and between
species, population and available germplasm to accelerate the efficacy of breeding programs to improve
mineral (iron and zinc) content in rice grains.F5, BC1F4 , F6, BC1F5 and RIL F6 populations derived from the
cross between high-yielding (PAU201) and iron-rich (Palman 579) indica rice varietiesdisplayed large
variation for various physio-morphological traits (plant height, effective number of tillers/plant, panicle
length, grain yield per plant and 1000-grain weight) and mineral (iron and zinc) contents. Iron and zinc
content varied between 4.6-312 μg/g and 2.2-117.5 μg/g (F5); 3.9-86.4 μg/g and 1.51-140.6 μg/g (BC1F4);
53-117.2 μg/g and 9.7-112.2 μg/g (F6);37.8-259 μg/g and 20-56 μg/g (BC1F5) and 23.6-383.4 μg/g and 13.6-
101 μg/g (RIL F6) respectively. Transgressive segregation for grain iron content was noticed in one RIL F6
plant (plant no.214A3-3) which had exceptionally higher iron (383.4 μg/g; Palman 579 326.5 μg/g.
Phenotypic correlation analysis showed positive correlation between grain iron and zinc content in F5,
BC1F4, F6 BC1F5 and RIL F6 populations. In F5 and BC1F4 populations, grain iron and zinc content showed
positive correlation with grain yield.DNA fingerprint databases of PAU201 × Palman 579 F6 andRIL
populations (30 plants each) were prepared using 62 and 61 polymorphic SSR markers. The NTSYS-pc
UPGMA tree cluster analysis and two dimensional PCA scaling exhibited that two parental genotypes were
quiet distinct and diverse whereas 30 F6 and RIL plants interspersed between the parental rice genotypes.
QTL mapping using two SSR databases by Composite Interval Mapping (CIM) programme of WinQTL
Cartographer 2.5, led to the identification of twelve QTL (six each in F6 and RIL population) for iron (8
QTL) and zinc (4 QTL) content in rice grain; ten of these QTL accounted for >30% variation. Out of 8 QTL
for iron content, 6(qFE2.1, qFE2.2, qFE7.1, qFE9.1in F6 population; qFE2.1, qFE2.2from RIL population) were
from “Palman 579” and rest of the two QTL (qFE10.1and qFE12.1) were from “PAU201”. Out of four QTL
mapped for zinc content, one QTL, qZN7.1(F6)was from “PAU201” and three QTL, qZN2.1(F6),
qZN2.1(RIL)and qZN10.1(RIL), werefrom Palman 579. In addition, eight QTL (qYP10.1, qYP10.2, qYP12.1,
qYP12.2, qYP2.1, qYP2.2, qYP10.1 and qYP12.1) were mapped for grain yield; 7 of these QTL were from “Palman
579” and two QTL (qYP10.2 and qYP12.1) contributed >70% of phenotypic variation. As many as 30 F6 plants
and 30 BC1F5 plants were selected on the basis of grain yield and mineral content for further progeny
analysis and RIL population was advanced to F6 generation with 93.7% homozygosity.
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