干旱区生态环境知识资源中心(Arid): Classical phenotyping and deep learning concur on genetic control of stomatal density and area in sorghum

Arid

DOI	10.1093/plphys/kiab174
	Classical phenotyping and deep learning concur on genetic control of stomatal density and area in sorghum
	Bheemanahalli, Raju; Wang, Chaoxin; Bashir, Elfadil; Chiluwal, Anuj; Pokharel, Meghnath; Perumal, Ramasamy; Moghimi, Naghmeh; Ostmeyer, Troy; Caragea, Doina; Jagadish, S. V. Krishna
通讯作者	Jagadish, SVK (corresponding author), Kansas State Univ, Dept Agron, Manhattan, KS 66506 USA.
来源期刊	PLANT PHYSIOLOGY
ISSN	0032-0889
EISSN	1532-2548
出版年	2021
卷号	186 期号:3 页码:1562-1579
英文摘要	Stomatal density (SD) and stomatal complex area (SCA) are important traits that regulate gas exchange and abiotic stress response in plants. Despite sorghum (Sorghum bicolor) adaptation to arid conditions, the genetic potential of stomata-related traits remains unexplored due to challenges in available phenotyping methods. Hence, identifying loci that control stomatal traits is fundamental to designing strategies to breed sorghum with optimized stomatal regulation. We implemented both classical and deep learning methods to characterize genetic diversity in 311 grain sorghum accessions for stomatal traits at two different field environments. Nearly 12,000 images collected from abaxial (Ab) and adaxial (Ad) leaf surfaces revealed substantial variation in stomatal traits. Our study demonstrated significant accuracy between manual and deep learning methods in predicting SD and SCA. In sorghum, SD was 32% 39% greater on the Ab versus the Ad surface, while SCA on the Ab surface was 2%-5% smaller than on the Ad surface. Genome-Wide Association Study identified 71 genetic loci (38 were environment-specific) with significant genotype to phenotype associations for stomatal traits. Putative causal genes underlying the phenotypic variation were identified. Accessions with similar SCA but carrying contrasting haplotypes for SD were tested for stomatal conductance and carbon assimilation under field conditions. Our findings provide a foundation for further studies on the genetic and molecular mechanisms controlling stomata patterning and regulation in sorghum. An integrated physiological, deep learning, and genomic approach allowed us to unravel the genetic control of natural variation in stomata traits in sorghum, which can be applied to other plats.
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000674744100023
WOS关键词	WATER-USE EFFICIENCY ; DROUGHT TOLERANCE ; ABSCISIC-ACID ; CONDUCTANCE ; SIZE ; ASSOCIATION ; PHOTOSYNTHESIS ; MANIPULATION ; TRAITS ; STRESS
WOS类目	Plant Sciences
WOS研究方向	Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368030
作者单位	[Bheemanahalli, Raju; Chiluwal, Anuj; Pokharel, Meghnath; Moghimi, Naghmeh; Ostmeyer, Troy; Jagadish, S. V. Krishna] Kansas State Univ, Dept Agron, Manhattan, KS 66506 USA; [Wang, Chaoxin; Caragea, Doina] Kansas State Univ, Dept Comp Sci, Manhattan, KS 66502 USA; [Bashir, Elfadil; Perumal, Ramasamy] Kansas State Univ, Agr Res Ctr, Hays, KS 67601 USA; [Bheemanahalli, Raju] Mississippi State Univ, Dept Plant & Soil Sci, Mississippi State, MS 39762 USA
推荐引用方式 GB/T 7714	Bheemanahalli, Raju,Wang, Chaoxin,Bashir, Elfadil,et al. Classical phenotyping and deep learning concur on genetic control of stomatal density and area in sorghum[J],2021,186(3):1562-1579.
APA	Bheemanahalli, Raju.,Wang, Chaoxin.,Bashir, Elfadil.,Chiluwal, Anuj.,Pokharel, Meghnath.,...&Jagadish, S. V. Krishna.(2021).Classical phenotyping and deep learning concur on genetic control of stomatal density and area in sorghum.PLANT PHYSIOLOGY,186(3),1562-1579.
MLA	Bheemanahalli, Raju,et al."Classical phenotyping and deep learning concur on genetic control of stomatal density and area in sorghum".PLANT PHYSIOLOGY 186.3(2021):1562-1579.