Abstract
Narrow genetic variability may lead to genetic vulnerability of field crops against biotic and abiotic stresses which can cause yield reduction. In this study a set of 37 wheat microsatellite markers linked with identified QTLs for salinity tolerance were used for the assessment of genetic diversity for salinity in 30 promising lines of hexaploid bread wheat (Triticum aestivum L.). A total of 438 alleles were detected with an average allele number of 11.84 per locus using 37 microsatellite markers. The number of alleles per locus ranged from two to twenty, the maximum number of alleles was observed at Xgwm312. Gene diversity statistic for 37 microsatellite loci was varied from 0.66 to 0.94 and also polymorphic information content value was varied from 0.64 to 0.93 for Xgwm445 and Xgwm312 respectively. Result showed Xgwm312 SSR marker with the highest PIC value was distinguished as the best marker for genetic diversity analysis to improve of salinity tolerance. Obtained dendrogram by UPGMA method categorized genotypes in to 3 different groups, which had different reaction to salinity. A wide range of genomic diversity was observed among all the genotypes. Principal Coordinates Analysis (PCoA) also confirmed this pattern of genetic diversity, proving them can be use as the prime candidates in order to improve of salinity tolerance in breeding programs of wheat. The present study also indicates that microsatellite markers permit the fast and high throughput fingerprinting of numbers of genotypes from a germplasm collection in order to assess genetic diversity.
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Claims 12
Claim · model-written summary
Thirty-seven markers detected 438 alleles, averaging 11.84 per locus.
- Taxon
- wheat
Triticum aestivume1 - Outcome
- alleles were detectede0
- Value
- 438 allelese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“A total of 438 alleles were detected with an average allele number of 11.84 per locus using 37 microsatellite markers”
e1“wheat (Triticum aestivum L.)”
Claim · model-written summary
The average allele count was 11.84 per locus.
- Taxon
- wheatTriticum aestivume1
- Outcome
- average allele numbere0
- Value
- 11.84 per locuse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“an average allele number of 11.84 per locus using 37 microsatellite markers”
e1“wheat (Triticum aestivum L.)”
Claim · model-written summary
Allele count ranged from two to twenty per locus.
- Taxon
- wheatTriticum aestivume1
- Outcome
- number of alleles per locuse0
- Value
- two to twentye0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The number of alleles per locus ranged from two to twenty”
e1“wheat (Triticum aestivum L.)”
Claim · model-written summary
Xgwm312 had the maximum allele count.
- Taxon
- wheatTriticum aestivume1
- Gene
- Xgwm312e0
- Outcome
- maximum number of allelese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the maximum number of alleles was observed at Xgwm312”
e1“wheat (Triticum aestivum L.)”
Claim · model-written summary
Gene diversity at 37 loci ranged from 0.66 to 0.94.
- Taxon
- wheatTriticum aestivume1
- Outcome
- Gene diversity statistice0
- Value
- 0.66 to 0.94e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Gene diversity statistic for 37 microsatellite loci was varied from 0.66 to 0.94”
e1“wheat (Triticum aestivum L.)”
Claim · model-written summary
Polymorphic information content ranged from 0.64 to 0.93.
- Taxon
- wheatTriticum aestivume1
- Outcome
- polymorphic information content valuee0
- Value
- 0.64 to 0.93e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“polymorphic information content value was varied from 0.64 to 0.93 for Xgwm445 and Xgwm312 respectively”
e1“wheat (Triticum aestivum L.)”
Claim · model-written summary
Xgwm312 had the highest PIC value and was identified as the best diversity marker for salinity-tolerance improvement.
- Taxon
- wheatTriticum aestivume1
- Gene
- Xgwm312e0
- Outcome
- best marker for genetic diversity analysise0
- Comparator
- highest PIC valuee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Xgwm312 SSR marker with the highest PIC value was distinguished as the best marker for genetic diversity analysis to improve of salinity tolerance”
e1“wheat (Triticum aestivum L.)”
Claim · model-written summary
UPGMA separated the genotypes into three groups with different salinity responses.
- Taxon
- wheatTriticum aestivume1
- Outcome
- 3 different groupse0
- Value
- 3 different groupse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Obtained dendrogram by UPGMA method categorized genotypes in to 3 different groups, which had different reaction to salinity”
e1“wheat (Triticum aestivum L.)”
Claim · model-written summary
A wide range of genomic diversity occurred among the genotypes.
- Taxon
- wheatTriticum aestivume1
- Outcome
- wide range of genomic diversitye0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“A wide range of genomic diversity was observed among all the genotypes”
e1“wheat (Triticum aestivum L.)”
Claim · model-written summary
PCoA confirmed the genetic diversity pattern.
- Taxon
- wheatTriticum aestivume1
- Outcome
- confirmed this pattern of genetic diversitye0
- Comparator
- this pattern of genetic diversitye0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Principal Coordinates Analysis (PCoA) also confirmed this pattern of genetic diversity”
e1“wheat (Triticum aestivum L.)”
Claim · model-written summary
The genotypes were proposed as breeding candidates for salinity tolerance.
- Taxon
- wheatTriticum aestivume0
- Outcome
- prime candidates in order to improve of salinity tolerancee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“prime candidates in order to improve of salinity tolerance in breeding programs of wheat”
Claim · model-written summary
Microsatellite markers were judged suitable for fast, high-throughput germplasm fingerprinting.
- Taxon
- wheatTriticum aestivume1
- Outcome
- fast and high throughput fingerprintinge0
- Comparator
- numbers of genotypes from a germplasm collectione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“microsatellite markers permit the fast and high throughput fingerprinting of numbers of genotypes from a germplasm collection in order to assess genetic diversity”
e1“wheat (Triticum aestivum L.)”