Flowering phenology as a core domestication trait in soybean

Gong, Zhizhong

doi:10.1111/jipb.12934

Cited by 27 publications

(24 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Soybean is a short-day (SD) plant and is highly sensitive to photoperiod, which critically limits its geographical cultivation range. [1][2][3][4][5] A suitable cultivar should be able to make maximal use of the growing season, but most soybean cultivars are only well adapted to a relatively narrow range of latitudes, 3 and the ability to grow soybean productively across a wide range of latitudes has depended on the incorporation of multiple genetic variants during domestication and cultivation. [3][4][5] These efforts have focused mainly on adaptation to long photoperiods at higher latitudes in Asia and North America, and adaptation to lower latitudes has received less attention.…”

Section: Introductionmentioning

confidence: 99%

Overcoming the genetic compensation response of soybean florigens to improve adaptation and yield at low latitudes

Fang

Yang

et al. 2021

Current Biology

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Overcoming the genetic compensation response of soybean florigens to improve adaptation and yield at low latitudes

Fang

Yang

et al. 2021

Current Biology

View full text Add to dashboard Cite

“…Flowering is a key step in the transition from vegetative to reproductive growth that establishes the success of the next generation (Gong 2020;Luo and He 2020). Soybean is a typical short-day (SD) plant, and its flowering time is a quantitative trait controlled by multiple genes (Kong et al 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Soybean is a typical short-day (SD) plant, and its flowering time is a quantitative trait controlled by multiple genes (Kong et al 2018). Several major genes/loci related to flowering time and maturity have been reported in soybean: E1 to E11, J, TOF11, and TOF12 (Lu et al 2017;Kong et al 2018;Gong 2020;Lu et al 2020). E1 is a key gene in the flowering regulatory network; it represses the positive regulators GmFT2a and GmFT5a, which delays the onset of flowering and maturity (Xia et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Soybean AP1 homologs control flowering time and plant height

Chen

Nan

Kong

et al. 2020

JIPB

View full text Add to dashboard Cite

Flowering time and plant height are key agronomic traits that directly affect soybean (Glycine max) yield. APETALA1 (AP1) functions as a class A gene in the ABCE model for floral organ development, helping to specify carpel, stamen, petal, and sepal identities. There are four AP1 homologs in soybean, all of which are mainly expressed in the shoot apex. Here, we used clustered regularly interspaced short palindromic repeats (CRISPR) – CRISPR‐associated protein 9 technology to generate a homozygous quadruple mutant, gmap1, with loss‐of‐function mutations in all four GmAP1 genes. Under short‐day (SD) conditions, the gmap1 quadruple mutant exhibited delayed flowering, changes in flower morphology, and increased node number and internode length, resulting in plants that were taller than the wild type. Conversely, overexpression of GmAP1a resulted in early flowering and reduced plant height compared to the wild type under SD conditions. The gmap1 mutant and the overexpression lines also exhibited altered expression of several genes related to flowering and gibberellic acid metabolism, thereby providing insight into the role of GmAP1 in the regulatory networks controlling flowering time and plant height in soybean. Increased node number is the trait with the most promise for enhancing soybean pod number and grain yield. Therefore, the mutant alleles of the four AP1 homologs described here will be invaluable for molecular breeding of improved soybean yield.

show abstract

“…Loss-of-function alleles of J were selected to extend the vegetative phase and improve yields at lower latitudes (102). The adaptation of soybean to higher latitudes was helped by natural loss-of-function alleles of five other flowering suppressors, including E1 (187), E2 (181), E3 (180), and the paralogs Tof11/Gp11 and Tof12/Gp12 (40,82,101).…”

Section: Critical Quantitative Trait Locus Alleles For Crop Adaptationmentioning

confidence: 99%

Natural Variation in Crops: Realized Understanding, Continuing Promise

Liang

Liu

Yan

et al. 2021

Annu. Rev. Plant Biol.

View full text Add to dashboard Cite

Crops feed the world's population and shape human civilization. The improvement of crop productivity has been ongoing for almost 10,000 years and has evolved from an experience-based to a knowledge-driven practice over the past three decades. Natural alleles and their reshuffling are long-standing genetic changes that affect how crops respond to various environmental conditions and agricultural practices. Decoding the genetic basis of natural variation is central to understanding crop evolution and, in turn, improving crop breeding. Here, we review current advances in the approaches used to map the causal alleles of natural variation, provide refined insights into the genetics and evolution of natural variation, and outline how this knowledge promises to drive the development of sustainable agriculture under the dome of emerging technologies. Expected final online publication date for the Annual Review of Plant Biology, Volume 72 is May 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

show abstract

Flowering phenology as a core domestication trait in soybean

Cited by 27 publications

References 21 publications

Overcoming the genetic compensation response of soybean florigens to improve adaptation and yield at low latitudes

Overcoming the genetic compensation response of soybean florigens to improve adaptation and yield at low latitudes

Soybean AP1 homologs control flowering time and plant height

Natural Variation in Crops: Realized Understanding, Continuing Promise

Contact Info

Product

Resources

About