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2015 ; 10
(6
): e0131312
Nephropedia Template TP
gab.com Text
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English Wikipedia
Genome-Wide Computational Analysis of Musa Microsatellites: Classification,
Cross-Taxon Transferability, Functional Annotation, Association with Transposons
& miRNAs, and Genetic Marker Potential
#MMPMID26121637
Biswas MK
; Liu Y
; Li C
; Sheng O
; Mayer C
; Yi G
PLoS One
2015[]; 10
(6
): e0131312
PMID26121637
show ga
The development of organized, informative, robust, user-friendly, and freely
accessible molecular markers is imperative to the Musa marker assisted breeding
program. Although several hundred SSR markers have already been developed, the
number of informative, robust, and freely accessible Musa markers remains
inadequate for some breeding applications. In view of this issue, we surveyed
SSRs in four different data sets, developed large-scale non-redundant highly
informative therapeutic SSR markers, and classified them according to their
attributes, as well as analyzed their cross-taxon transferability and utility for
the genetic study of Musa and its relatives. A high SSR frequency (177 per Mbp)
was found in the Musa genome. AT-rich dinucleotide repeats are predominant, and
trinucleotide repeats are the most abundant in transcribed regions. A significant
number of Musa SSRs are associated with pre-miRNAs, and 83% of these SSRs are
promising candidates for the development of therapeutic SSR markers. Overall, 74%
of the SSR markers were polymorphic, and 94% were transferable to at least one
Musa spp. Two hundred forty-three markers generated a total of 1047 alleles, with
2-8 alleles each and an average of 4.38 alleles per locus. The PIC values ranged
from 0.31 to 0.89 and averaged 0.71. We report the largest set of non-redundant,
polymorphic, new SSR markers to be developed in Musa. These additional markers
could be a valuable resource for marker-assisted breeding, genetic diversity and
genomic studies of Musa and related species.