Linkage and association mapping of ovule number per ovary (ON) in oilseed rape (Brassica napus L.) DOI Creative Commons
Ahmad Ali, Wenhui Li, Hui Zhang

и другие.

Research Square (Research Square), Год журнала: 2022, Номер unknown

Опубликована: Окт. 25, 2022

Abstract Ovule number (ON) produced during flower development determines the maximum of seeds per silique and thereby affects crop productivity; however, genetic control ON remains poorly understood in oilseed rape ( Brassica napus ). In this study, we genetically dissected variations a double haploid population (DH) diverse inbred accessions by linkage mapping genome-wide association analysis. Phenotypic analysis six environments showed that displayed normal distribution both populations with broad-sense heritability 0.861 (DH population) 0.930 (natural population). Linkage identified 5 QTLs related to ON, including qON-A03, qON-A07, qON-A07-2, qON-A10 , qON-C06 . Genome-wide studies (GWAS) revealed 214, 48 40 significant single nucleotide polymorphisms (SNPs) individually using single-locus model GLM multiple-locus MrMLM FASTMrMLM. The phenotypic variation explained (PVE) these SNPs ranged from 2.00-17.40% 5.03–7.33%, respectively. Integration results strategies four consensus genomic regions associated Chr A03, A07, A10. Our preliminarily resolved basis provides useful molecular markers for plant yield improvement B.

Язык: Английский

Uncovering Trait Associations Resulting in Maximal Seed Yield in Winter and Spring Oilseed Rape DOI Creative Commons
Laura Siles, Kirsty L. Hassall,

Cristina Sanchis Gritsch

и другие.

Frontiers in Plant Science, Год журнала: 2021, Номер 12

Опубликована: Сен. 6, 2021

Seed yield is a complex trait for many crop species including oilseed rape (OSR) ( Brassica napus ), the second most important worldwide. Studies have focused on contribution of distinct factors in seed such as environmental cues, agronomical practices, growth conditions, or specific phenotypic traits at whole plant level, number pods plant. However, how female reproductive contribute to level traits, and hence yield, has been largely ignored. Here, we describe combined 33 within B. diversity set population their trade-offs organ along with interaction traits. Our results revealed that both Winter OSR (WOSR) Spring (SOSR); two more economically groups terms oil production; share common dominant strategy yield. In this strategy, main inflorescence principal source producing good ovules, large long concomitantly high seeds per pod. Moreover, observed WOSR opted additional strategies than SOSR, presenting plasticity maximise Overall, conclude adopts key ensure maximal propose an ideal ideotype highlighting crucial could be potential targets breeding.

Язык: Английский

Процитировано

10

Genetic dissection of the natural variation of ovule number per ovary in oilseed rape germplasm (Brassica napus L.) DOI Creative Commons
Muslim Qadir, Lei Qin, Ye Jiang

и другие.

Frontiers in Plant Science, Год журнала: 2022, Номер 13

Опубликована: Сен. 13, 2022

Oilseed rape is one of the world's largest oil and industrial crops, providing humans with various products, such as vegetable biofuel. Ovules are direct precursors seeds, ovule number per ovary (ONPO) largely determines seed fruit that affects both yield fitness crops. The ONPO shows wide variation in oilseed rape, whereas underlying genes mechanisms poorly known. present study performed genetic, physiological transcriptomic analyses using an association panel extreme lines. 327 accessions planted four environments showed a large from 19.2 to 43.8, indicating great potential for further genetic improvement number. genome-wide (GWAS) identified total 43 significant SNP markers. Further, these SNPs were integrated into 18 loci, which distributed on chromosomes A01, A03, A06, A07, A09, C01, C03, C06, C07, C09, explaining 4.3-11.5% phenotypic variance. decreased their appearance order inflorescence was associated level several types endogenous phytohormones but not related leaf area photosynthetic rate. Comparative analysis 4,449 DEGs enriched 30 classes, including DNA, RNA, protein, signaling, transport, development, cell wall, lipid metabolism, secondary metabolism. Nearly half involved known pathways regulating number, 12 homologous know genes, strong link between A 73 located within genomic regions six candidates based functional annotation. These results provide useful information rape.

Язык: Английский

Процитировано

6

Pollen grain number and viability contribute to variation in effective ovule number among oilseed rape genotypes DOI
Guo Xiao, B. L., Neil B. McLaughlin

и другие.

Euphytica, Год журнала: 2021, Номер 218(1)

Опубликована: Дек. 21, 2021

Язык: Английский

Процитировано

4

Ovule number as a rising star for regulating seed yield: Hope or hype DOI Creative Commons
Shahid Ullah Khan, Ahmad Ali, Sumbul Saeed

и другие.

Journal of Integrative Agriculture, Год журнала: 2024, Номер 23(11), С. 3623 - 3640

Опубликована: Фев. 29, 2024

Rapeseed (Brassica napus L.) is the second most premium oilseed crop, mainly grown for vegetable oil and protein meal around globe. One of main goals breeders to produce high-yield rapeseed cultivars with sustainable production meet requirements fast-growing population. Besides pod number, seeds per silique (SS), thousand-seed weight (TSW), ovule number (ON) decisive yield determining factor a single plant final seed yield. In recent years, tremendous efforts have been made dissect genetic molecular basis these complex traits. Still, only relatively few genes or loci controlling traits reported. This review highlighted updated hormonal ON development in model plants (A. thaliana). also compiled at hormonal, molecular, mechanism bridge understanding between species thaliana) cultivated (B. napus). report will open new corridor primary applied research biology benefit breeding programs. literature inculcate interest understand further determination, its role improvement, possible utilization

Язык: Английский

Процитировано

0

Fine mapping and candidate gene analysis of the major QTL qSW-A03 for seed weight in Brassica napus DOI Creative Commons

Jiangyu Meng,

Dingxue Hu, Bin Wang

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 18, 2024

Abstract Seed weight is a determining factor for improving rapeseed productivity. In the present study, high-density genetic map was constructed via genome resequencing in an RIL population derived from cross of two varieties, ZS11 and DL704, with great differences thousand seed (TSW). A total 1,306 bins involving 1,261,526 SNPs were used to construct bin map. On basis map, QTL mapping performed. total, 15 QTLs associated TSW detected. major stable QTL, qSW-A03, mapped 2.8 cM interval on chromosome A03. Fine delimited qSW-A03locus into 59-kb region, 11 genes within this region predicted. By employing combination gene variation, expression difference coexpression network analysis weight, BnaA03G0362100ZS (BnaDUF1666) identified as promising candidate gene. This study provides useful information dissection promotes molecular breeding high-yield rapeseed.

Язык: Английский

Процитировано

0

Post-flowering Nitrogen Source–Sink Relationship Underlying Mechanisms Explain the Genotypic Variation in Seed N Accumulation of Rapeseed Genotypes DOI
Guo Xiao, Xinli Li,

Ji Luo

и другие.

Journal of Plant Growth Regulation, Год журнала: 2024, Номер unknown

Опубликована: Дек. 14, 2024

Язык: Английский

Процитировано

0

Unlocking the power of AI for phenotyping fruit morphology in Arabidopsis DOI Creative Commons
K. N. Atkins, Gina A. Garzón-Martínez, Andrew Lloyd

и другие.

GigaScience, Год журнала: 2024, Номер 14

Опубликована: Дек. 23, 2024

Deep learning can revolutionise high-throughput image-based phenotyping by automating the measurement of complex traits, a task that is often labour-intensive, time-consuming, and prone to human error. However, its precision adaptability in accurately organ-level such as fruit morphology, remain be fully evaluated. Establishing links between phenotypic genotypic variation essential for uncovering genetic basis traits also provide an orthologous test pipeline effectiveness. In this study, we assess efficacy deep measuring morphology Arabidopsis using images from multiparent advanced generation intercross (MAGIC) mapping family. We trained instance segmentation model developed phenotype based on outputs. Our achieved strong performance with average 88.0% detection 55.9% segmentation. Quantitative trait locus analysis derived metrics MAGIC population identified significant loci associated morphology. This analysis, automated 332,194 individual fruits, underscores capability robust tool large populations. quantifying pod morphological scalable provides high-quality data, facilitating gene discovery, well advancing crop breeding research.

Язык: Английский

Процитировано

0

Genome-wide characterization of ovate family protein gene family associated with number of seeds per silique in Brassica napus DOI Creative Commons
Jie Liu, Yupo Wu, Xiaobo Cui

и другие.

Frontiers in Plant Science, Год журнала: 2022, Номер 13

Опубликована: Сен. 14, 2022

Ovate family proteins (OFPs) were firstly identified in tomato as controlling the pear shape of fruit. Subsequent studies have successively proved that OFPs are a class negative regulators plant development, and involved regulation complex traits different plants. However, there has been no report about functions rapeseed growth to date. Here, we at genomic level. As result, total 67 members obtained. We then analyzed evolution from Arabidopsis thaliana Brassica napus, illustrated their phylogenetic syntenic relationships, compared gene structure conserved domains between copies. also expression patterns rapeseed, found significant differences tissues. Additionally, performed GWAS for number seeds per silique (NSPS) population consisting 204 natural accessions, new BnOFP13_2 significantly associated with NSPS, which was novel function OFPs. Haplotype analysis revealed accessions haplotype 3 had higher NSPS than other suggesting is NSPS. Transcript profiling during five stages development demonstrated negatively regulates These findings provide evidence functional diversity OFP important implications oilseed rape breeding.

Язык: Английский

Процитировано

2

Bayesian optimisation for yield in high-dimensional trait-space identifies crop ideotypes in Oil Seed Rape DOI Open Access

Alexander Calderwood,

Laura Siles, Peter J. Eastmond

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2021, Номер unknown

Опубликована: Июль 20, 2021

Abstract The improvement of crop yield has long been a major breeding target and is increasingly becoming goal in many areas plant research. Yield shown to be complex trait, depending on multiple genes, architecture plant-environment interactions. This complexity frequently reduced by focussing contributing factors (yield traits). However, quantitative understanding the interplay between traits, effect these relationships largely unexplored. Consequently, extent which varieties achieve their optimal morphology given environment how this impacts seed unknown. Here we use causal inference model hierarchically structured effects 27 macro micro traits each other over course development, Spring Winter oilseed rape plants. We perform Bayesian optimisation modelled potential, identifying ideotype plants are expected higher yielding than existing studied panels. find that occupy regions trait-space, but potentially high strategies unexplored extant varieties. In addition concrete recommendations for varietal rape, work provides novel, general methodological framework study as an problem.

Язык: Английский

Процитировано

1

A causal inference and Bayesian optimisation framework for modelling multi-trait relationships—Proof-of-concept using Brassica napus seed yield under controlled conditions DOI Creative Commons

Alexander Calderwood,

Laura Siles, Peter J. Eastmond

и другие.

PLoS ONE, Год журнала: 2023, Номер 18(9), С. e0290429 - e0290429

Опубликована: Сен. 1, 2023

The improvement of crop yield is a major breeding target and there long history research that has focussed on unravelling the mechanisms processes contribute to yield. Quantitative prediction interplay between morphological traits, effects these trait-trait relationships seed production remains, however, challenge. Consequently, extent which varieties optimise their morphology for given environment largely unknown. This work presents new combination existing methodologies by framing as an optimisation problem evaluates exhibit optimal morphologies under test conditions. In this proof-of-concept study using spring winter oilseed rape plants grown greenhouse conditions, we employ causal inference model hierarchically structured 27 traits each other. We perform Bayesian yield, identify quantify ideotype plants, are expected be higher yielding than in studied panels. Under tested growth find occupy regions trait-space, but potentially high strategies unexplored extant varieties. same approach can used evaluate trait (morphology) space any environment.

Язык: Английский

Процитировано

0