Genetic diversity of viruses associated with sugarcane mosaic disease of sugarcane inter-specific hybrids in China

2015 ◽  
Vol 143 (2) ◽  
pp. 351-361 ◽  
Author(s):  
Yuliang Zhang ◽  
Qixing Huang ◽  
Guohua Yin ◽  
Ruizong Jia ◽  
Samantha Lee ◽  
...  
2009 ◽  
Vol 99 (1) ◽  
pp. 38-49 ◽  
Author(s):  
M. F. Perera ◽  
M. P. Filippone ◽  
C. J. Ramallo ◽  
M. I. Cuenya ◽  
M. L. García ◽  
...  

Sugarcane leaves with mosaic symptoms were collected in 2006–07 in Tucumán (Argentina) and analyzed by reverse-transcriptase polymerase chain reaction (RT-PCR) restriction fragment length polymorphism (RFLP) and sequencing of a fragment of the Sugarcane mosaic virus (SCMV) and Sorghum mosaic virus (SrMV) coat protein (CP) genes. SCMV was detected in 96.6% of samples, with 41% showing the RFLP profile consistent with strain E. The remaining samples produced eight different profiles that did not match other known strains. SCMV distribution seemed to be more related to sugarcane genotype than to geographical origin, and sequence analyses of CP genes showed a greater genetic diversity compared with other studies. SrMV was detected in 63.2% of samples and most of these were also infected by SCMV, indicating that, unlike other countries and other Argentinean provinces, where high levels of co-infection are infrequent, co-existence is common in Tucumán. RFLP analysis showed the presence of SrMV strains M (68%) and I (14%), while co-infection between M and H strains was present in 18% of samples. Other SCMV subgroup members and the Sugarcane streak mosaic virus (SCSMV) were not detected. Our results also showed that sequencing is currently the only reliable method to assess SCMV and SrMV genetic diversity, because RT-PCR-RFLP may not be sufficiently discriminating.


2008 ◽  
Vol 153 (6) ◽  
pp. 1031-1039 ◽  
Author(s):  
D.-L. Xu ◽  
J.-W. Park ◽  
T. E. Mirkov ◽  
G.-H. Zhou

2022 ◽  
Vol 12 ◽  
Author(s):  
Versha Rohilla ◽  
Rajesh Kumar Yadav ◽  
Atman Poonia ◽  
Ravika Sheoran ◽  
Gita Kumari ◽  
...  

Mung bean [Vigna radiata (L.) Wilczek] is an important short-duration grain legume widely known for its nutritional, soil ameliorative, and cropping system intensification properties. This study aims at evaluating genetic diversity among mung bean genotypes and detecting genomic regions associated with various yield attributing traits and yellow mosaic disease (YMD) resistance by association mapping. A panel of 80 cultivars and advanced breeding lines was evaluated for 10 yield-related and YMD resistance traits during kharif (monsoon) and summer seasons of 2018–2019 and 2019–2020. A total of 164 genome-wide simple sequence repeat (SSR) markers were initially screened, out of which 89 were found polymorphic which generated 317 polymorphic alleles with an average of 3.56 alleles per SSR locus. The number of alleles at each locus varied from 2 to 7. The population genetic structure analysis grouped different genotypes in three major clusters and three genetically distinct subpopulations (SPs) (i.e., SP-1, SP-2, and SP-3) with one admixture subpopulation (SP-4). Both cluster and population genetic structure analysis categorized the advanced mung bean genotypes in a single group/SP and the released varieties in other groups/SPs, suggesting that the studied genotypes may have common ancestral history at some level. The population genetic structure was also in agreement with the genetic diversity analysis. The estimate of the average degree of linkage disequilibrium (LD) present at the genome level in 80 mung bean genotypes unveiled significant LD blocks. Over the four seasons, 10 marker-trait associations were observed significant for YMD and four seed yield (SY)-related traits viz., days to flowering, days to maturity, plant height, and number of pods per plant using the mixed linear model (MLM) method. These associations may be useful for marker-assisted mung bean yield improvement programs and YMD resistance.


2015 ◽  
Vol 466 (3) ◽  
pp. 312-318 ◽  
Author(s):  
Yushan Zhai ◽  
Yuqing Deng ◽  
Guangyuan Cheng ◽  
Lei Peng ◽  
Yanru Zheng ◽  
...  

2006 ◽  
Vol 87 (10) ◽  
pp. 3053-3065 ◽  
Author(s):  
Simon E. Bull ◽  
Rob W. Briddon ◽  
William S. Sserubombwe ◽  
Kahiu Ngugi ◽  
Peter G. Markham ◽  
...  

Cassava is a major factor in food security across sub-Saharan Africa. However, the crop is susceptible to losses due to biotic stresses, in particular to viruses of the genus Begomovirus (family Geminiviridae) that cause cassava mosaic disease (CMD). During the 1990s, an epidemic of CMD severely hindered cassava production across eastern and central Africa. A significant influence on the appearance of virus epidemics is virus diversity. Here, a survey of the genetic diversity of CMD-associated begomoviruses across the major cassava-growing areas of Kenya is described. Because an initial PCR-restriction fragment-length polymorphism analysis identified a much greater diversity of viruses than assumed previously, representative members of the population were characterized by sequence analysis. The full-length sequences of 109 components (68 DNA-A and 41 DNA-B) were determined, representing isolates of East African cassava mosaic virus and East African cassava mosaic Zanzibar virus, as well as a novel begomovirus species for which the name East African cassava mosaic Kenya virus is proposed. The DNA-B components were much less diverse than their corresponding DNA-A components, but nonetheless segregated into western and eastern (coastal) groups. All virus species and strains encountered showed distinct geographical distributions, highlighting the importance of preventing both the movement of viruses between these regions and the importation of the disease from adjacent countries and islands in the Indian Ocean that would undoubtedly encourage further diversification.


2021 ◽  
Author(s):  
niyonzima pierre ◽  
Lydia Nanjala Wamalwa ◽  
William Maina Muiru ◽  
Bigirimana Simon ◽  
Edward Kanju ◽  
...  

In Burundi, most of small-scale farmers still grow traditional cassava landraces that are adapted to local conditions and have been selected for consumer preferred attributes. They tend to be susceptible, in varying degrees, to devastating cassava viral diseases such as Cassava Brown Steak Disease (CBSD) and Cassava Mosaic Disease (CMD) with production annual losses of US$1 billion annually. For long term resistance to the disease, several breeding strategies have been proposed. A sound basis for a breeding program is to understand the genetic diversity of both landraces and elite introduced breeding cultivars. This will also assist in efforts to conserve landraces ahead of the broad distribution of improved varieties which have the possibility of replacing landraces. Our study aimed at determining the genetic diversity and relationships of local landraces and introduced elite germplasm using morphological and simple nucleotide polymorphism (SNP) markers as well as identifying a core set of germplasm from the local varieties to be used in the cassava breeding program. A total of 118 cultivars were characterized for morphological trait variation based on leaf, stem and root traits, and genetic variation using SNP markers. Results of morphological characterization based on Ward’s Method revealed three main clusters and five accessions sharing similar characteristics. Molecular characterization identified over 18,000 SNPs and six main clusters and three pairs of duplicates which should be pooled together as one cultivar to avoid redundancy. Results of population genetic analysis showed low genetic distance between populations and between local landraces and elite germplasm. Accessions that shared similar morphological traits were divergent at the molecular level indicating that clustering using morphological traits was inconsistent. Despite the variabilities found within the collection, it was observed that cassava germplasm in Burundi have a narrow genetic base.


2011 ◽  
Vol 14 (3) ◽  
pp. 179-189 ◽  
Author(s):  
Raghu Duraisamy ◽  
Sakthi Ambothi Rathinasamy ◽  
Senthil Natesan ◽  
Raveendran Muthurajan ◽  
Jana Jeevan Ramineni ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document