Publications by authors named "Hadi Darzi Ramandi"

Article Synopsis
  • A whole-genome QTL study on tomatoes revealed 73 meta-QTL regions linked to resistance against bacterial and fungal diseases, significantly narrowing the confidence intervals (CIs) of the original QTLs.
  • The analysis examined 491 previously reported QTLs from 40 studies, leading to the identification of 29 MQTLs for bacterial resistance and 44 for fungal resistance, with CIs reduced by 4.1-fold and 6.7-fold, respectively.
  • 73 genes associated with plant defense responses were found within the MQTL regions, highlighting potential candidate genes for breeding programs focused on enhancing resistance to diseases in tomatoes.
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  • Gliomas are the most common type of brain tumors and vary in severity, with glioblastoma (GB) being the most aggressive and associated with poor survival outcomes.
  • A study at Sina Hospital in Tehran analyzed the survival data of 178 GB patients from 2012 to 2020, focusing on clinical and molecular factors that might influence overall survival (OS).
  • Findings indicated that younger patients, those receiving adjuvant radiotherapy, and patients with specific genetic markers (IDH1 mutations and TERTp status) had significantly better OS, with a median survival of 20 months and a 2-year survival rate of 61%.
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The complex trait of yield is controlled by several quantitative trait loci (QTLs). Given the global water deficit issue, the development of rice varieties suitable for non-flooded cultivation holds significant importance in breeding programs. The powerful approach of Meta-QTL (MQTL) analysis can be used for the genetic dissection of complicated quantitative traits.

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We report here the discovery of high-confidence MQTL regions and of putative candidate genes associated with seed weight in B. napus using a highly dense consensus genetic map and by comparing various large-scale multiomics datasets. Seed weight (SW) is a direct determinant of seed yield in Brassica napus and is controlled by many loci.

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Applying an integrated meta-analysis approach led to identification of meta-QTLs/ candidate genes associated with rice root system architecture, which can be used in MQTL-assisted breeding/ genetic engineering of root traits. Root system architecture (RSA) is an important factor for facilitating water and nutrient uptake from deep soils and adaptation to drought stress conditions. In the present research, an integrated meta-analysis approach was employed to find candidate genes and genomic regions involved in rice RSA traits.

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Two of the important traits for wheat yield are tiller and fertile tiller number, both of which have been thought to increase cereal yield in favorable and unfavorable environments. A total of 6,349 single nucleotide polymorphism (SNP) markers from the 15 K wheat Infinium array were employed for genome-wide association study (GWAS) of tillering number traits, generating a physical distance of 14,041.6 Mb based on the IWGSC wheat genome sequence.

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