Genetic Diversity and Population Structure of Broomcorn Sorghum Investigated with Simple Sequence Repeat Markers

Zhu, Meiying; Chen, Jun; Yuyama, Nana; Luo, Le; Xiao, Xin; Lv, Ya; Cai, Hongwei

doi:10.1007/s12042-019-09251-1

Cited by 8 publications

(8 citation statements)

References 22 publications

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“…The sorghum accessions studied were differentiated accounting just 2.32% of the overall genetic dissimilarity according to the result of the analysis of variance. Similar lower proportions of among population genetic variations in Kenya [ 43 ], South Africa [ 11 ], Ethiopia (Tirfessa et al , 2020) and China [ 14 ] were reported for S . bicolor populations as 2.75%, 9.56%, 0.38% and 8%, respectively.…”

Section: Discussionsupporting

confidence: 63%

Genetic diversity and population structure of sorghum [Sorghum bicolor (L.) Moench] genotypes in Ethiopia as revealed by microsatellite markers

Wubshet

Enyew

Mekonnen

et al. 2023

Heliyon

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Section: Discussionsupporting

confidence: 63%

Genetic diversity and population structure of sorghum [Sorghum bicolor (L.) Moench] genotypes in Ethiopia as revealed by microsatellite markers

Wubshet

Enyew

Mekonnen

et al. 2023

Heliyon

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“…Zhu et al (2020) and Tirfessa et al (2020) observed a mean PIC value of 0.6 and 0.45 which were comparatively low than this present study (0.85). SSR markers used in this study showed high level of polymorphism in view of allele per locus, gene diversity and PIC value as reported earlier (Adunga, 2014;Ngugi and Onyango, 2012;Tirfessa et al, 2020;Zhu et al, 2020). This indicated the existence of greater genetic variation among the sorghum accessions from different geographical origin used in the current study.…”

Section: Resultscontrasting

confidence: 76%

“…During the past, SSR markers have been proved to be an efficient tool for diversity analysis (Jarne and Lagoda, 1996). Zhu et al (2020) and Tirfessa et al (2020) observed a mean PIC value of 0.6 and 0.45 which were comparatively low than this present study (0.85). SSR markers used in this study showed high level of polymorphism in view of allele per locus, gene diversity and PIC value as reported earlier (Adunga, 2014;Ngugi and Onyango, 2012;Tirfessa et al, 2020;Zhu et al, 2020).…”

Section: Resultscontrasting

confidence: 63%

“…In another study, Murray et al (2009) utilized the genetic diversity among 125 sweet sorghum accessions and performed marker trait association of brix content and plant height using 47 SSR and 322 SNP markers. Recently, Zhu et al (2020) performed the genetic diversity analysis of 140 sorghum accessions using 45 SSR markers and panicle traits and suggested that the broomcorn type sorghums possessed high variability in geographical origins.…”

Section: Introductionmentioning

confidence: 99%

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Estimating genetic diversity in Sorghum bicolor using molecular markers

Prasanth¹,

Mohanavel²,

Jaganathan³

et al. 2021

JEB

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Aim: The present study aimed at measuring the genetic diversity of a set of 219 sorghum accessions differing in their grain colour. Methodology: About 219 diverse sorghum lines differing in their grain colour were obtained from National Bureau of Plant Genetics Resources (NBPGR), New Delhi and genotyped using 17 SSR markers. Polymorphism information content (PIC) and allele frequency were determined using PowerMarker V3.25. Clustering and factorial analysis were performed using DARwin 6.0. GenAlex version 6.5 was used to perform Principal Coordinates Analysis (PCoA) and AMOVA. Diversity analysis was performed by using Darwin. Results: Genotyping of 219 sorghum accessions using 17 SSR markers produced a total of 399 alleles with an average PIC value of 0.85 and gene diversity of 0.87. Highest allele frequency was observed for the marker, Xtxp 265 whereas highest major allele frequency was observed in 196 accessions for the marker, Xtxp 278. Diversity analysis divided the 219 accessions into three clusters (1, 2 and 3) and genotypes belonging to same geographical origin were found to be clustered together. Interpretation: SSR marker based genetic diversity analysis grouped 219 sorghum accessions into three clusters. Grouping and clustering of accessions was mostly based on the geographical origins with some exceptions which may be due to cross hybridisation of accessions between countries paving a way for cross gene flow.

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“…It has also been shown that a combination of just five markers are sufficient to differentiate 24 species of sorghum out of 25 species studied (Dillon et al 2005). Molecular markers have also been employed in several recent studies on diversity analysis of different cultivars/ varieties/ accessions in sorghum (Mehmood et al 2008;Zhu et al 2020;Sapkota et al 2020).…”

Section: Dna Fingerprinting and Genetic Diversity Analysis In Sorghummentioning

confidence: 99%

Improving Water Stress Resilient Crop Breeding Using Phenomics and Genomics Information Derived fromSorghum (SorghumbicolorL.)

Mohanavel¹,

N²,

Swain³

et al. 2020

MAJ

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Inthisunpredictableclimaticscenario,increasingcropproductivityunderlow water availability is the foremost challenge. The crops are further seriously affected,andtheyieldsaredrasticallyreducedduetoelevatedtemperature, greenhousegases,andhumidityduringthewater stressperiod.Toensure food security in the coming decades, scientists have summoned to increase thehigh-quality foodwiththeseclimaticvagaries. Thoughseveralagronomic and management strategies were proposed to mitigate the water stress, genetic improvementof cropswithimproveddroughttoleranceis the simple, sustainable and affordable option. Nevertheless, identification and molecular understandingoftheappropriatebreedingtraits thatcanalleviatetheimpact of water stress on crop plants are the trickiest part ofthis strategy. Sorghum (Sorghum bicolor L.)is gaining its importance in water stress tolerance plant breeding, as it has several clearly defined drought-tolerant component traits that promote productivity underlow water environments. The genomics and phenomics information generated in S. bicolor would immensely help breeding plants resilientto thechallenges of a water scarcity. This paper describes themolecularmechanismsofdroughttoleranceusing sorghum bicoloras amodel and howthis information canbeextrapolatedto breed better cultivars in other crops.

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Genetic Diversity and Population Structure of Broomcorn Sorghum Investigated with Simple Sequence Repeat Markers

Cited by 8 publications

References 22 publications

Genetic diversity and population structure of sorghum [Sorghum bicolor (L.) Moench] genotypes in Ethiopia as revealed by microsatellite markers

Genetic diversity and population structure of sorghum [Sorghum bicolor (L.) Moench] genotypes in Ethiopia as revealed by microsatellite markers

Estimating genetic diversity in Sorghum bicolor using molecular markers

Improving Water Stress Resilient Crop Breeding Using Phenomics and Genomics Information Derived fromSorghum (SorghumbicolorL.)

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