Utilizing machine learning and bioinformatics analysis to identify drought-responsive genes affecting yield in foxtail millet

International Journal of Biological Macromolecules, Год журнала: 2024, Номер 277, С. 134288 - 134288

Опубликована: Июль 29, 2024

Язык: Английский

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Next Generation Nutrition: Genomic and Molecular Breeding Innovations for Iron and Zinc Biofortification in Rice

Rice Science, Год журнала: 2024, Номер 31(5), С. 526 - 544

Опубликована: Май 17, 2024

Global efforts to address malnutrition and hidden hunger, particularly prevalent in low- middle-income countries, have intensified, with a focus on enhancing the nutritional content of staple crops like rice. Despite serving as for over half world's population, rice falls short meeting daily requirements, especially iron (Fe) zinc (Zn). Genetic resources, such wild species specific varieties, offer promising avenues Fe Zn content. Additionally, advancements molecular breeding approaches identified key genes loci associated accumulation grains. This review explores genetic resources mechanisms underlying The functional genomics involved uptake, transport, distribution plants revealed OsFRO1, OsIRT1, OsNAS3. Similarly, uptake translocation, including OsZIP11 OsNRAMP1, been identified. Transgenic approaches, leveraging transporter gene families genome editing technologies, Moreover, strategies reducing phytic acid (PA) content, known inhibitor mineral bioavailability, explored, identification low-PA mutants natural variants. integration genomic information, whole-genome resequencing pan-genome analyses, provides valuable insights into basis micronutrient traits facilitates targeted efforts. Functional studies elucidated translocation Furthermore, transgenic techniques shown promise grains through manipulation genes. Overall, multi-omics holds significant addressing global hunger by quality rice, thereby contributing improved food security worldwide.

Язык: Английский

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Deciphering the genetic basis of agronomic, yield, and nutritional traits in rice (Oryza sativa L.) using a saturated GBS-based SNP linkage map

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 4, 2024

Developing high-yielding rice varieties that possess favorable agronomic characteristics and enhanced grain Zn content is crucial in ensuring food security addressing nutritional needs. This research employed ICIM, IM, multi-parent population QTL mapping methods to identify important genetic regions associated with traits such as DF, PH, NT, NP, PL, YLD, TGW, GL, GW, Zn, Fe. Two populations of recombinant inbred lines consisting 373 were phenotyped for agronomic, yield micronutrient three seasons at IRRI, genotyped by sequencing. Most the demonstrated moderate high broad-sense heritability. There was a positive relationship between Fe contents. The principal components correlation results revealed significant negative association YLD Zn/Fe. ICIM identified 81 QTLs, while IM detected 36 QTLs across populations. analysis 27 six them consistently seasons. We shortlisted eight candidate genes 19 traits, 26 QTLs. Notable included CL4 d35 dh1 OsIRX10, HDT702, sd1 OsD27 whereas WFP OsIPI1 OsRSR1 OsMTP1 TGW. OsNAS1, OsRZFP34, OsHMP5, OsMTP7, OsC3H33, OsHMA1 promising RILs acceptable potential from each population. major effect our study are useful efficient biofortification rice.

Язык: Английский

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Genomic prediction and QTL analysis for grain Zn content and yield in Aus-derived rice populations

Journal of Plant Biochemistry and Biotechnology, Год журнала: 2024, Номер 33(2), С. 216 - 236

Опубликована: Май 9, 2024

Язык: Английский

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