This study explores the genetic mechanisms underpinning pigmentation traits in rice, with emphasis on the Kala4 gene responsible for black pigmentation which offers several health benefits. The Kala4 trait was incorporated into the Improved White Ponni variety to develop a black rice introgression line. Comprehensive genomic analysis identified specific chromosomal regions related to black pigmentation and yield traits. The study evaluated 200 F2 plants derived from a cross between Manipur Black rice and Improved White Ponni, using 81 distinct polymorphism markers. The results confirmed the crucial role of the Kala4 loci in black pigmentation and identified key genes regulating anthocyanin synthesis and the PURPLE PERICARP trait. This enhanced our understanding of rice pigmentation and its genetic intricacies. The study also evaluated yield-associated traits in the F2 population, identifying eleven QTLs related to yield, most notably on chromosome 4. These QTLs contribute significantly to phenotypic variance, suggesting their potential for marker-assisted selection in breeding programs. Continued exploration of the Kala4 gene on chromosome 4 can provide further insights into QTLs for hybrid rice, expediting future rice improvement strategies and allowing for targeted selection in breeding programs, thereby enhancing future rice crop development strategies. 

Mapping and validating quantitative trait loci (QTL) for anthocyanin-related genes, coupled with marker analysis for pericarp pigmentation and yield traits in a black and white rice cross

Tiller number (TN) is an important trait that contributes to yield in rice (Oryza sativa L.). A set of 76 chromosome segment substitution lines (CSSLs) derived from the super-hybrid cross between Zhonghui 9308 (ZH9308) and Xieqingzao B (XQZB) was used to map quantitative trait loci (QTL) controlling tiller number (TN). A total of four QTLs were detected in Fuyang, Zhejiang Province (30.15° N, 120° E). Two QTLs were detected in Lingshui, Hainan Province (18.5° N, 110° E) in our previous study. To further map the QTL on chromosome 4, namely qTN4, the line CSSL29 with a lower tiller number was selected to cross with ZH9308 to develop the secondary F2 population. In the F2:3 population, the qTN4 was validated and subsequently narrowed down to a 4.08 Mb region. What is more, combined phenotype with genotype, qTN4 was dissected into two QTLs, qTN4.1 and qTN4.2, in the F4:5 population. The qTN4.1 and qTN4.2 explained 34.31% and 32.05% of the phenotypic variance, with an additive effect of 1.47 and 1.38, respectively. Finally, the qTN4.1 and qTN4.2 were fine-mapped into a 193.55 Kb and 175.12 Kb intervals on chromosome 4, respectively. Based on genotype and phenotype, four near-isogenic lines (NILs) were selected in the mapping populations. Compared with NILCSSL29, tiller number (TN), grain setting rate, grain length (GL), the ratio of grain length to width (LWR) and grain yield per plant of NILZH9308, NIL-qTN4.1ZH9308 and NIL-qTN4.2ZH9308 were increased, and the heading date of these three lines were earlier than that of NILCSSL29. Interestingly, among the candidate genes of qTN4.1 and qTN4.2, except for LOC_Os04g23550, none of the other genes has been cloned, indicating the existence of a novel gene-controlling tiller number. These results lay a foundation for the analysis of QTL controlling tiller number in ZH9308 and provide a theoretical basis for the application of ZH9308 in super-hybrid breeding.

/pdf/genetic-dissection-of-tiller-number-qtn4-in-rice-1j7x9mbc.pdf

Genetic Dissection of Tiller Number qTN4 in Rice

The flowering period of rice significantly impacts variety adaptability and yield formation. Properly shortening the reproductive period of rice varieties can expand their ecological range without significant yield reduction. Targeted genome editing, like CRISPR/Cas9, is an ideal tool to fine-tune rice growth stages and boost yield synergistically. In this study, we developed a CRISPR/Cas9-mediated multiplex genome-editing vector containing five genes related to three traits, Hd2, Ghd7, and DTH8 (flowering-stage genes), along with the recessive rice blast resistance gene Pi21 and the aromatic gene BADH2. This vector was introduced into the high-quality japonica rice variety in Zhejiang province, Jiahe212 (JH212), resulting in 34 T0 plants with various effective mutations. Among the 17 mutant T1 lines, several displayed diverse flowering dates, but most exhibited undesirable agronomic traits. Notably, three homozygous mutant lines (JH-C15, JH-C18, and JH-C31) showed slightly earlier flowering dates without significant differences in yield-related traits compared to JH212. Through special Hyg and Cas marker selection of T2 plants, we identified seven, six, and two fragrant glutinous plants devoid of transgenic components. These single plants will serve as sib lines of JH212 and potential resources for breeding applications, including maintenance lines for indica–japonica interspecific three-line hybrid rice. In summary, our research lays the foundation for the creation of short-growth-period CMS (cytoplasmic male sterility, CMS) lines, and also provides materials and a theoretical basis for indica–japonica interspecific hybrid rice breeding with wider adaptability.

Improvement of Flowering Stage in Japonica Rice Variety Jiahe212 by Using CRISPR/Cas9 System

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Dian Li

Author Tools

Chat about Author

Papers

Genetic Dissection of Tiller Number qTN4 in Rice

Improvement of Flowering Stage in Japonica Rice Variety Jiahe212 by Using CRISPR/Cas9 System