Identification of QTLs and Key Genes Enhancing Lodging Resistance in Soybean Through Chemical and Physical Trait Analysis DOI Creative Commons

Wanying Zhao,

Depeng Zeng,

Caitong Zhao

et al.

Plants, Journal Year: 2024, Volume and Issue: 13(24), P. 3470 - 3470

Published: Dec. 11, 2024

Lodging of soybean (Glycine max (L.) Merril.) significantly reduces seed yield and quality, particularly in high-yielding environments. This phenomenon occurs when stems weaken under the weight plants, complicating harvesting. study investigated relationship between stem chemical composition, physical traits, lodging resistance to improve resilience. We found that as plant density increased, hardness decreased, elasticity heightening risk lodging. Conversely, high temperature (28 °C) boosted lignin, cellulose pectin content cell walls, enhancing resistance. Additionally, after excluding differences phylogenetic relationships through cluster analysis, we mapped environment-stable genes linked identified new QTLs on Chr3 Chr16. Candidate associated with these were confirmed using qRT–PCR hormone treatments across diverse varieties. It was expression tip closely related node diameter. These findings provide a theoretical foundation for breeding varieties improved resistance, advance efforts develop resilient cultivars.

Language: Английский

Sugarcane breeding: a fantastic past and promising future driven by technology and methods DOI Creative Commons
Guilong Lu,

Purui Liu,

Qibin Wu

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: March 8, 2024

Sugarcane is the most important sugar and energy crop in world. During sugarcane breeding, technology requirement methods are means. As we know, seed cornerstone of development industry. Over past century, with advancement expansion methods, breeding has continued to improve, production realized a leaping growth, providing large amount essential clean for long-term mankind development, especially face future threats world population explosion, reduction available arable land, various biotic abiotic stresses. Moreover, due narrow genetic foundation, serious varietal degradation, lack breakthrough varieties, as well long cycle low probability gene polymerization, it particularly realize leapfrog by seizing opportunity emerging Breeding 4.0, making full use modern biotechnology including but not limited whole genome selection, transgene, editing, synthetic biology, combined information such remote sensing deep learning. In view this, focus on from perspective reviewing main history, pointing out current status challenges, reasonable outlook prospects smart breeding.

Language: Английский

Citations

11
The complex transcriptional regulation of heat stress response in maize DOI Creative Commons

Mingxiu Ruan,

Heng Zhao,

Yujing Wen

et al.

Stress Biology, Journal Year: 2024, Volume and Issue: 4(1)

Published: April 26, 2024

As one of the most important food and feed crops worldwide, maize suffers much more tremendous damages under heat stress compared to other plants, which seriously inhibits plant growth reduces productivity. To mitigate heat-induced adapt high temperature environment, plants have evolved a series molecular mechanisms sense, respond temperatures stress. In this review, we summarized recent advances in regulations underlying sensing, response memory maize, especially focusing on several pathways signals complex transcriptional regulation ZmHSFs (Heat Shock Factors) response. addition, highlighted interactions between epigenetic factors coordinately regulating memory. Finally, laid out strategies systematically elucidate regulatory network response, discussed approaches for breeding future heat-tolerance maize.

Language: Английский

Citations

9
Big data and artificial intelligence‐aided crop breeding: Progress and prospects DOI Creative Commons
Wanchao Zhu, Weifu Li, Hongwei Zhang

et al.

Journal of Integrative Plant Biology, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 28, 2024

ABSTRACT The past decade has witnessed rapid developments in gene discovery, biological big data (BBD), artificial intelligence (AI)‐aided technologies, and molecular breeding. These advancements are expected to accelerate crop breeding under the pressure of increasing demands for food. Here, we first summarize current methods discuss need new ways support efforts. Then, review how combine BBD AI technologies genetic dissection, exploring functional genes, predicting regulatory elements domains, phenotypic prediction. Finally, propose concept intelligent precision design (IPDB) driven by technology offer ideas about implement IPDB. We hope that IPDB will enhance predictability, efficiency, cost compared with technologies. As an example IPDB, explore possibilities offered CropGPT, which combines techniques, bioinformatics, art from breeders, presents open, shareable, cooperative system. provides integrated services communication platforms biologists, bioinformatics experts, germplasm resource specialists, dealers, farmers, should be well suited future

Language: Английский

Citations

5
Bahçe bitkilerinde önemli karakterlerle ilişkili moleküler belirteçlerin Küme Segregasyon Analizi (BSA) ile belirlenmesi DOI Creative Commons
Zeynel Dalkılıç

Ege Üniversitesi Ziraat Fakültesi Dergisi, Journal Year: 2025, Volume and Issue: 62(1), P. 133 - 149

Published: March 13, 2025

Küme Segregasyon Analizi (BSA, Bulked Segregant Analysis), bir popülasyonda sadece belirli özelliğin birbirine zıt en üst ve alt iki aşırı ucundaki bireylerin arasındaki farklılığı ortaya çıkaran güçlü yöntemdir. Hem hem de kümeyi oluşturmak için eşit sayıda birey kullanılır. Bir özellik karşılaştırılan küme ebeveyn, onları birbirinden ayıran belirteçleri belirlemek analiz edilir. En uçtaki her birinden DNA çıkartılır. Üst miktarda deney tüpünde başka olmak üzere ayrı karıştırılır. İki kümenin örneği moleküler belirteçler yardımıyla karşılaştırılır. Her kümedeki bireyler, ilgilenilen gen bakımından özdeştir. BSA yöntemi kalitatif (tek genli) çok genli (kantitatif) kalıtım sergileyen özellikler konusunda başarılı sonuçlar vermektedir. Dominant (RAPD, ISSR, AFLP, SRAP) kodominant (RFLP, SSR, SCAR, CAPS, SNP, QTL-Seq) belirteç sistemleri kullanılabilmektedir. Bu derlemenin amacı, yönteminin oluşturulma stratejisini tanıtmak bahçe bitkilerindeki önemli karakterler ile ilişkili belirteçlerin belirlenmesindeki kullanımını koymaktır.

Citations

0
The potential value of genotyping by sequencing (GBS) strategies for combating citrus diseases DOI

Jaideep Kaur Deol,

Sheetal Ramekar,

Manjul Dutt

et al.

Euphytica, Journal Year: 2025, Volume and Issue: 221(5)

Published: April 16, 2025

Language: Английский

Citations

0
Genetic mapping of regions associated with root system architecture in rice using MutMap QTL-seq DOI
Nakul D. Magar, Kalyani M. Barbadikar,

Vishal Reddy

et al.

Plant Physiology and Biochemistry, Journal Year: 2024, Volume and Issue: 213, P. 108836 - 108836

Published: June 17, 2024

Language: Английский

Citations

2
Population genetics of horticultural crops aided by multi-omics technology and its implications for ornamental plants DOI Creative Commons
Bixuan Cheng,

Wenting Du,

Peter M. Bourke

et al.

Ornamental Plant Research, Journal Year: 2024, Volume and Issue: 4(1), P. 0 - 0

Published: Jan. 1, 2024

Population genetic studies have long been an essential part in dissecting important traits of crops. The advent genomic resources has significantly enhanced the efficiency mapping studies. Concurrently, integration multi-omics approaches affords a comprehensive perspective plant systems, enabling researchers to investigate correlations between variations and horticultural across multiple dimensions. This review summarized combining forward genetics with analyze basis We discussed strategies for effective application these integrated dissection ornamental populations. also acknowledged challenges processing large dataset, outlined promising future prospects artificial intelligence (AI) when addressing such issues. aims provide guidance population research crops plants era.

Language: Английский

Citations

1
Identification and characterization of a temperature sensitive chlorotic soybean mutant DOI Creative Commons
C. Nathan Hancock,

Tetandianocee Germany,

Priscilla S. Redd

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 3, 2024

Abstract Screening a transposon-mutagenized soybean population led to the discovery of recessively inherited chlorotic phenotype. This “vir1” phenotype results in smaller stature, weaker stems, and root system with nodules. Genome sequencing identified 15 candidate genes mutations likely result loss function. Amplicon segregating was then used narrow list single mutation, single-base change Glyma.07G102300 that disrupts splicing second intron. Single cell transcriptomic profiling indicates this gene is expressed primarily mesophyll cells RNA data it upregulated germinating seedlings by cold stress. Previous studies have shown Os05g34040 , rice homolog produced more pronounced cool temperatures. Growing vir1 mutants at lower temperatures also resulted severe In addition, transgenic expression wild type knockout mutant Arabidopsis At4930720 rescues phenotype, further supporting hypothesis mutation causal

Language: Английский

Citations

0
Refining flowering date enhances sesame yield independently of day-length DOI Creative Commons
Idan Sabag, Shaked Pnini, Gota Morota

et al.

BMC Plant Biology, Journal Year: 2024, Volume and Issue: 24(1)

Published: July 26, 2024

Abstract Background The transition from vegetative to reproductive growth is a key factor in yield maximization. Sesame (Sesamum indicum ), an indeterminate short-day oilseed crop, rapidly being introduced into new cultivation areas. Thus, decoding its flowering mechanism necessary facilitate adaptation environmental conditions. In the current study, we uncover effect of day-length on and components using F $$_2$$ 2 populations segregating for previously identified quantitative trait loci (Si_DTF QTL) confirming these traits. Results Generally, affected all phenotypic traits, with preceding days reducing components. Interestingly, average required maximization was 50 55 days, regardless day-length. addition, found that Si_DTF QTL more associated seed-yield than flowering. A bulk-segregation analysis applied identify additional differing allele frequencies between early late under both Candidate genes mining within major intervals revealed two flowering-related different expression levels parental lines, indicating their contribution sesame regulation. Conclusions Our findings demonstrate essential role date will serve as basis future breeding.

Language: Английский

Citations

0
Combined bulked segregant analysis and Kompetitive Allele-Specific PCR genotyping identifies candidate genes related to the node of the first fruiting branch in upland cotton (Gossypium hirsutum L.) DOI
Yuanzhi Fu, Volodymyr Trotsenko, Yuqing Li

et al.

Euphytica, Journal Year: 2024, Volume and Issue: 220(11)

Published: Oct. 29, 2024

Language: Английский

Citations

0